Jouchi Nakajima
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Harrison, Michael & Nakajima, Jouchi & Shabani, Mimoza, 2022.
"An evolution of global and regional banking networks: A focus on Japanese banks’ international expansion,"
Discussion paper series
HIAS-E-120, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Harrison, Michael & Nakajima, Jouchi & Shabani, Mimoza, 2023. "An evolution of global and regional banking networks: A focus on Japanese banks’ international expansion," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
Cited by:
- Mikhail Stolbov & Daniil Parfenov, 2023. "Credit risk linkages in the international banking network, 2000–2019," Risk Management, Palgrave Macmillan, vol. 25(3), pages 1-38, September.
- Jouchi Nakajima & Hiroaki Yamagata & Tatsushi Okuda & Shinnosuke Katsuki & Takeshi Shinohara, 2021.
"Extracting Firms' Short-Term Inflation Expectations from the Economy Watchers Survey Using Text Analysis,"
Bank of Japan Working Paper Series
21-E-12, Bank of Japan.
Cited by:
- Olivier De Bandt & Jean-Charles Bricongne & Julien Denes & Alexandre Dhenin & Annabelle De Gaye & Pierre-Antoine Robert, 2023. "Using the Press to Construct a New Indicator of Inflation Perceptions in France," Working papers 921, Banque de France.
- Masahiro Suzuki & Hiroki Sakaji, 2024. "Refined and Segmented Price Sentiment Indices from Survey Comments," Papers 2411.09937, arXiv.org, revised Nov 2024.
- Takuji Kawamoto & Takashi Nakazawa & Yui Kishaba & Kohei Matsumura & Jouchi Nakajima, 2021.
"Supplementary Paper Series for the "Assessment" (2): Estimating Effects of Expansionary Monetary Policy since the Introduction of Quantitative and Qualitative Monetary Easing (QQE) Using the,"
Bank of Japan Working Paper Series
21-E-4, Bank of Japan.
Cited by:
- Athanasios Orphanides, 2021.
"The Power of Central Bank Balance Sheets,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 39, pages 35-54, November.
- Athanasios Orphanides, 2021. "The Power of Central Bank Balance Sheets," IMES Discussion Paper Series 21-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
- Orphanides, Athanasios & Hofmann, Boris & Lombardi, Marco & Mojon, Benoit, 2021.
"Fiscal and monetary policy interactions in a low interest rate world,"
CEPR Discussion Papers
16411, C.E.P.R. Discussion Papers.
- Boris Hofmann & Marco Jacopo Lombardi & Benoit Mojon & Athanasios Orphanides, 2021. "Fiscal and monetary policy interactions in a low interest rate world," BIS Working Papers 954, Bank for International Settlements.
- Allen, David & Mizuno, Hiro, 2021. "Monetary Policies, US influence and other Factors Affecting Stock Prices in Japan," MPRA Paper 111734, University Library of Munich, Germany.
- Richard Finlay & Dmitry Titkov & Michelle Xiang, 2022. "The Yield and Market Function Effects of the Reserve Bank of Australia's Bond Purchases," RBA Research Discussion Papers rdp2022-02, Reserve Bank of Australia.
- Takuji Kawamoto & Jouchi Nakajima & Tomoaki Mikami, 2021. "Supplementary Paper Series for the "Assessment" (3): Inflation-Overshooting Commitment:An Analysis Using a Macroeconomic Model," Bank of Japan Working Paper Series 21-E-9, Bank of Japan.
- Athanasios Orphanides, 2021.
"The Power of Central Bank Balance Sheets,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 39, pages 35-54, November.
- Takeshi Shinohara & Tatsushi Okuda & Jouchi Nakajima, 2020.
"Characteristics of Uncertainty Indices in the Macroeconomy,"
Bank of Japan Working Paper Series
20-E-6, Bank of Japan.
- Shinohara, Takeshi & Okuda, Tatsushi & Nakajima, Jouchi, 2021. "Characteristics of Uncertainty Indices in the Macroeconomy," Economic Review, Hitotsubashi University, vol. 72(3), pages 246-267, July.
Cited by:
- Honda, Tomohito & Uesugi, Iichiro, 2021. "COVID-19 and Precautionary Corporate Cash Holdings: Evidence from Japan," RCESR Discussion Paper Series DP21-2, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
- Cosmas Dery & Apostolos Serletis, 2021. "Disentangling the Effects of Uncertainty, Monetary Policy and Leverage Shocks on the Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1029-1065, October.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019.
"Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting,"
Working Paper
2019/2, Norges Bank.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1092-1110, July.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
Cited by:
- Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023.
"Macroeconomic forecasting in the euro area using predictive combinations of DSGE models,"
International Journal of Forecasting, Elsevier, vol. 39(4), pages 1820-1838.
- Jan Capek & Jesus Crespo Cuaresma & Niko Hauzenberger & Vlastimil Reichel, 2020. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," Department of Economics Working Papers wuwp305, Vienna University of Economics and Business, Department of Economics.
- Capek, Jan & Crespo Cuaresma, Jesus & Hauzenberger, Niko & Reichel, Vlastimil, 2020. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," Department of Economics Working Paper Series 305, WU Vienna University of Economics and Business.
- Knüppel, Malte & Krüger, Fabian & Pohle, Marc-Oliver, 2022.
"Score-based calibration testing for multivariate forecast distributions,"
Discussion Papers
50/2022, Deutsche Bundesbank.
- Malte Knuppel & Fabian Kruger & Marc-Oliver Pohle, 2022. "Score-based calibration testing for multivariate forecast distributions," Papers 2211.16362, arXiv.org, revised Dec 2023.
- Pantelis Samartsidis & Shaun R. Seaman & Silvia Montagna & André Charlett & Matthew Hickman & Daniela De Angelis, 2020. "A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1437-1459, October.
- van Dijk Herman K., 2024. "Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 155-176, April.
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Andres Ramirez Hassan, 2020.
"Optimal probabilistic forecasts: When do they work?,"
Monash Econometrics and Business Statistics Working Papers
33/20, Monash University, Department of Econometrics and Business Statistics.
- Martin, Gael M. & Loaiza-Maya, Rubén & Maneesoonthorn, Worapree & Frazier, David T. & Ramírez-Hassan, Andrés, 2022. "Optimal probabilistic forecasts: When do they work?," International Journal of Forecasting, Elsevier, vol. 38(1), pages 384-406.
- Gael M. Martin & Rub'en Loaiza-Maya & David T. Frazier & Worapree Maneesoonthorn & Andr'es Ram'irez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Papers 2009.09592, arXiv.org.
- Kenichiro McAlinn & Kosaku Takanashi, 2019. "Mean-shift least squares model averaging," Papers 1912.01194, arXiv.org.
- Knut Are Aastveit & Jamie L. Cross & Herman K. van Dijk, 2021.
"Quantifying time-varying forecast uncertainty and risk for the real price of oil,"
Working Paper
2021/3, Norges Bank.
- Knut Are Aastveit & Jamie Cross & Herman K. Djik, 2021. "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Working Papers No 03/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Knut Are Aastveit & Jamie Cross & Herman K. van Dijk, 2021. "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Tinbergen Institute Discussion Papers 21-053/III, Tinbergen Institute.
- Knut Are Aastveit & Jamie L. Cross & Herman K. van Dijk, 2023. "Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(2), pages 523-537, April.
- Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
- Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024.
"Bayesian forecasting in economics and finance: A modern review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
- Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
- Kenichiro McAlinn, 2021. "Mixed‐frequency Bayesian predictive synthesis for economic nowcasting," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1143-1163, November.
- Chernis Tony, 2024.
"Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 293-317, April.
- Tony Chernis, 2023. "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers 23-45, Bank of Canada.
- Barbara Rossi, 2019.
"Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them,"
Economics Working Papers
1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
- Barbara Rossi, 2019. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," Working Papers 1162, Barcelona School of Economics.
- Rossi, Barbara, 2020. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," CEPR Discussion Papers 14472, C.E.P.R. Discussion Papers.
- Wang, Shengjie & Kang, Yanfei & Petropoulos, Fotios, 2024. "Combining probabilistic forecasts of intermittent demand," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1038-1048.
- Mike West, 2020. "Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 1-31, February.
- Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
- Jin, Xin & Maheu, John M. & Yang, Qiao, 2022. "Infinite Markov pooling of predictive distributions," Journal of Econometrics, Elsevier, vol. 228(2), pages 302-321.
- Yolanda S. Stander, 2023. "The Governance and Disclosure of IFRS 9 Economic Scenarios," JRFM, MDPI, vol. 16(1), pages 1-27, January.
- Bruno P. C. Levy & Hedibert F. Lopes, 2021. "Dynamic Ordering Learning in Multivariate Forecasting," Papers 2101.04164, arXiv.org, revised Nov 2021.
- Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2023.
"A flexible predictive density combination for large financial data sets in regular and crisis periods,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2022. "A Flexible Predictive Density Combination for Large Financial Data Sets in Regular and Crisis Periods," Tinbergen Institute Discussion Papers 22-053/III, Tinbergen Institute.
- Paolo Berta & Paolo Paruolo & Stefano Verzillo & Pietro Giorgio Lovaglio, 2020. "A bivariate prediction approach for adapting the health care system response to the spread of COVID-19," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
- K=osaku Takanashi & Kenichiro McAlinn, 2019. "Equivariant online predictions of non-stationary time series," Papers 1911.08662, arXiv.org, revised Jun 2023.
- Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2018.
"The Role of Corporate Governance in Japanese Unlisted Companies,"
CIRJE F-Series
CIRJE-F-1081, CIRJE, Faculty of Economics, University of Tokyo.
- Fukuda, Shin-ichi & Kasuya, Munehisa & Nakajima, Jouchi, 2018. "The role of corporate governance in Japanese unlisted companies," Japan and the World Economy, Elsevier, vol. 47(C), pages 27-39.
Cited by:
- Kojima Koji & Bishnu Kumar Adhikary & Le Tram, 2020. "Corporate Governance and Firm Performance: A Comparative Analysis between Listed Family and Non-Family Firms in Japan," JRFM, MDPI, vol. 13(9), pages 1-20, September.
- Kodama, Naomi & Murakami, Yoshiaki & Tanaka, Mari, 2021.
"No Successor, No Success? Impact of a Little Son on Business Performance,"
Journal of the Japanese and International Economies, Elsevier, vol. 62(C).
- KODAMA Naomi & MURAKAMI Yoshiaki & TANAKA Mari, 2021. "No Successor, No Success? The Impact of a Little Son on Business Performance," Discussion papers 21013, Research Institute of Economy, Trade and Industry (RIETI).
- Ueda, Kenichi & Ishide, Akira & Goto, Yasuo, 2019.
"Listing and financial constraints,"
Japan and the World Economy, Elsevier, vol. 49(C), pages 1-16.
- Kenichi Ueda & Akira Ishide & Yasuo Goto, 2018. "Listing and Financial Constraints," CARF F-Series CARF-F-429, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- UEDA Kenichi & ISHIDE Akira & GOTO Yasuo, 2017. "Listing and Financial Constraints," Discussion papers 17090, Research Institute of Economy, Trade and Industry (RIETI).
- HANNAH, Leslie, 2018. "Corporate Governance, Accounting Transparency and Stock Exchange Sizes in Germany, Japan and “Anglo-Saxon” Economies, 1870-1950," Discussion paper series HIAS-E-77, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Blind, Georg & Lottanti von Mandach, Stefania, 2017.
"When Vultures Bring Blessings: Employment Growth in Japanese Businesses under Private Equity Ownership,"
MPRA Paper
77764, University Library of Munich, Germany.
- Blind, Georg D. & Lottanti von Mandach, Stefania, 2021. "Private Equity Buyouts in Japan: Effects on Employment Numbers," Journal of the Japanese and International Economies, Elsevier, vol. 59(C).
- Tomeczek, Artur F., 2022. "The evolution of Japanese keiretsu networks: A review and text network analysis of their perceptions in economics," Japan and the World Economy, Elsevier, vol. 62(C).
- Fukuda, Akira, 2020. "The Effects of M&A on Corporate Performance in Japan:DID Analysis in the Era of Corporate Governance Reform," Japan and the World Economy, Elsevier, vol. 55(C).
- Ohk, Seungbin & Ju, Biung-Ghi, 2021. "Capitalizing on prospect theory value: The Asian developed stock markets," Japan and the World Economy, Elsevier, vol. 57(C).
- Takuji Fueki & Hiroka Higashi & Naoto Higashio & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2018.
"Identifying oil price shocks and their consequences: the role of expectations in the crude oil market,"
BIS Working Papers
725, Bank for International Settlements.
- Takuji Fueki & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2021. "Identifying oil price shocks and their consequences: The role of expectations in the crude oil market," International Finance, Wiley Blackwell, vol. 24(1), pages 53-76, April.
Cited by:
- Peter Y. Jang & Mario G. Beruvides, 2020. "Time-Varying Influences of Oil-Producing Countries on Global Oil Price," Energies, MDPI, vol. 13(6), pages 1-22, March.
- Nathan Sussman & Osnat Zohar, 2018.
"Has inflation targeting become less credible?,"
BIS Working Papers
729, Bank for International Settlements.
- Nathan Sussman & Osnat Zohar, 2016. "Has Inflation Targeting Become Less Credible? Oil Prices, Global Aggregate Demand and Inflation Expectations during the Global Financial Crisis," Bank of Israel Working Papers 2016.13, Bank of Israel.
- Omotosho, Babatunde S., 2020. "Oil price shocks, fuel subsidies and macroeconomic (in)stability in Nigeria," MPRA Paper 105464, University Library of Munich, Germany.
- Sakib Bin Amin & Noshin Nawal Audry & Ahmed Farah Ulfat, 2021. "The Nexus Between Oil Price Shock and the Exchange Rate in Bangladesh," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 427-435.
- De, Kuhelika & Compton, Ryan A. & Giedeman, Daniel C., 2022. "Oil shocks and the U.S. economy in a data-rich model," Economic Modelling, Elsevier, vol. 108(C).
- Considine, Jennifer & Hatipoglu, Emre & Aldayel, Abdullah, 2022. "The sensitivity of oil price shocks to preexisting market conditions: A GVAR analysis," Journal of Commodity Markets, Elsevier, vol. 27(C).
- Filardo, Andrew & Lombardi, Marco & Montoro, Carlos & Ferrari, Massimo, 2018.
"Monetary policy spillovers, global commodity prices and cooperation,"
Working Papers
2018-002, Banco Central de Reserva del Perú.
- Andrew Filardo & Jacopo Lombardi & Carlos Montoro, 2018. "Monetary policy spillovers, global commodity prices and cooperation," BIS Working Papers 696, Bank for International Settlements.
- Piersanti, Giovanni & Piersanti, Mirko & Cicone, Antonio & Canofari, Paolo & Di Domizio, Marco, 2020. "An inquiry into the structure and dynamics of crude oil price using the fast iterative filtering algorithm," Energy Economics, Elsevier, vol. 92(C).
- Emanuel Kohlscheen & Aaron Mehrotra & Dubravko Mihaljek, 2020.
"Residential Investment and Economic Activity: Evidence from the Past Five Decades,"
International Journal of Central Banking, International Journal of Central Banking, vol. 16(6), pages 287-329, December.
- Emanuel Kohlscheen & Aaron Mehrotra & Dubravko Mihaljek, 2018. "Residential investment and economic activity: evidence from the past five decades," BIS Working Papers 726, Bank for International Settlements.
- Jiménez-Rodríguez, Rebeca, 2022. "Oil shocks and global economy," Energy Economics, Elsevier, vol. 115(C).
- Krzysztof Echaust & Małgorzata Just, 2021. "Tail Dependence between Crude Oil Volatility Index and WTI Oil Price Movements during the COVID-19 Pandemic," Energies, MDPI, vol. 14(14), pages 1-21, July.
- Nchofoung, Tii N., 2024. "Oil price shocks and energy transition in Africa," Energy Policy, Elsevier, vol. 184(C).
- Drachal, Krzysztof, 2021. "Forecasting crude oil real prices with averaging time-varying VAR models," Resources Policy, Elsevier, vol. 74(C).
- Gkillas, Konstantinos & Manickavasagam, Jeevananthan & Visalakshmi, S., 2022. "Effects of fundamentals, geopolitical risk and expectations factors on crude oil prices," Resources Policy, Elsevier, vol. 78(C).
- Umechukwu, Chisom & Olayungbo, D.O., 2022. "US oil supply shocks and economies of oil-exporting African countries: A GVAR-Oil Resource Analysis," Resources Policy, Elsevier, vol. 75(C).
- Mo, Bin & Zeng, Haiyu & Meng, Juan & Ding, Shaokai, 2024. "The connectedness between uncertainty and exchange rates of oil import countries: new evidence from time and frequency perspective," Resources Policy, Elsevier, vol. 88(C).
- Henry Egbezien Inegbedion & Emmanuel Inegbedion & Eseosa Obadiaru & Abiola Asaleye, 2020. "Petroleum Subsidy Withdrawal, Fuel Price Hikes and the Nigerian Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 258-265.
- Yao Axel Ehouman, 2020. "Do oil-market shocks drive global liquidity?," EconomiX Working Papers 2020-33, University of Paris Nanterre, EconomiX.
- Even Comfort Hvinden, 2019. "OPEC's crude game," Working Papers No 10/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Tii N. Nchofoung, 2023.
"Oil price shocks and energy transition in Africa,"
Working Papers of the African Governance and Development Institute.
23/064, African Governance and Development Institute..
- Tii N. Nchofoung, 2023. "Oil price shocks and energy transition in Africa," Working Papers 23/064, European Xtramile Centre of African Studies (EXCAS).
- Andrew Filardo & Jouchi Nakajima, 2018.
"Effectiveness of unconventional monetary policies in a low interest rate environment,"
BIS Working Papers
691, Bank for International Settlements.
Cited by:
- Filardo, Andrew J. & Siklos, Pierre L., 2020.
"The cross-border credit channel and lending standards surveys,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
- Andrew Filardo & Pierre Siklos, 2018. "The cross-border credit channel and lending standards surveys," BIS Working Papers 723, Bank for International Settlements.
- Michaelis, Henrike, 2024. "Changes in the euro area interest rate pass-through," Discussion Papers 21/2024, Deutsche Bundesbank.
- Pagliari, Maria Sole, 2024.
"Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies,"
European Economic Review, Elsevier, vol. 168(C).
- Maria Sole Pagliari, 2021. "Does one (unconventional) size fit all? Effects of the ECB's unconventional monetary policies on the euro area economies," Working papers 829, Banque de France.
- Grahame Johnson & Sharon Kozicki & Romanos Priftis & Lena Suchanek & Jonathan Witmer & Jing Yang, 2020. "Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature," Discussion Papers 2020-16, Bank of Canada.
- Kirikos, Dimitris G., 2020. "Quantitative easing impotence in the liquidity trap: Further evidence," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 151-162.
- Jančoková, Martina & Pástor, Ľuboš & Fabo, Brian & Kempf, Elisabeth, 2021.
"Fifty shades of QE: comparing findings of central bankers and academics,"
Working Paper Series
2584, European Central Bank.
- Kempf, Elisabeth & Fabo, Brian & Jancokova, Martina & Pástor, Luboš, 2020. "Fifty Shades of QE: Comparing Findings of Central Bankers and Academics," CEPR Discussion Papers 15449, C.E.P.R. Discussion Papers.
- Brian Fabo & Martina Jančoková & Elisabeth Kempf & Ľuboš Pástor, 2020. "Fifty Shades of QE: Comparing Findings of Central Bankers and Academics," NBER Working Papers 27849, National Bureau of Economic Research, Inc.
- Fabo, Brian & Jančoková, Martina & Kempf, Elisabeth & Pástor, Ľuboš, 2021. "Fifty shades of QE: Comparing findings of central bankers and academics," Journal of Monetary Economics, Elsevier, vol. 120(C), pages 1-20.
- Brand, Claus & Bielecki, Marcin & Penalver, Adrian, 2018. "The natural rate of interest: estimates, drivers, and challenges to monetary policy JEL Classification: E52, E43," Occasional Paper Series 217, European Central Bank.
- Stéphane Lhuissier & Benoît Mojon & Juan Rubio-Ramírez, 2020.
"Does the Liquidity Trap Exist?,"
Working papers
762, Banque de France.
- Stéphane Lhuissier & Benoit Mojon & Juan Rubio-Ramírez, 2020. "Does the liquidity trap exist?," BIS Working Papers 855, Bank for International Settlements.
- Stéphane Lhuissier & Benoît Mojon & Juan Rubio-Ramírez, 2020. "Does the Liquidity Trap Exist?," Working Papers 2020-04, FEDEA.
- Dimitris G. Kirikos, 2024. "Quantitative easing effectiveness: Evidence from Euro private assets," Bulletin of Economic Research, Wiley Blackwell, vol. 76(2), pages 354-370, April.
- Halyna Alekseievska & Anzor Mumladze, 2020. "Quantitative Easing As The Main Instrument Of Unconventional Monetary Policy," Three Seas Economic Journal, Publishing house "Baltija Publishing", vol. 1(1).
- Andrea De Polis & Mario Pietrunti, 2019. "Exchange rate dynamics and unconventional monetary policies: it�s all in the shadows," Temi di discussione (Economic working papers) 1231, Bank of Italy, Economic Research and International Relations Area.
- Filardo, Andrew J. & Siklos, Pierre L., 2020.
"The cross-border credit channel and lending standards surveys,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
- Jouchi Nakajima, 2018.
"The role of household debt heterogeneity on consumption: Evidence from Japanese household data,"
BIS Working Papers
736, Bank for International Settlements.
- Nakajima, Jouchi, 2020. "The role of household debt heterogeneity on consumption: Evidence from Japanese household data," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 186-197.
Cited by:
- Deng, Xin & Yu, Mingzhe, 2021. "Does the marginal child increase household debt? – Evidence from the new fertility policy in China," International Review of Financial Analysis, Elsevier, vol. 77(C).
- Zhang, Dongyang & Guo, Rui, 2020. "The consumption response to household leverage in China: The role of investment at household level," International Review of Financial Analysis, Elsevier, vol. 71(C).
- Mr. Fei Han & Ms. Emilia M Jurzyk & Wei Guo & Yun He & Ms. Nadia Rendak, 2019. "Assessing Macro-Financial Risks of Household Debt in China," IMF Working Papers 2019/258, International Monetary Fund.
- Sarah Chan, 2020. "China’s Rising Household Debt: A New Debt Trap?," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 567-578, December.
- Maiko Koga & Kohei Matsumura, "undated". "Marginal Propensity to Consume and the Housing Choice," Bank of Japan Working Paper Series 20-E-3, Bank of Japan.
- Kassouri, Yacouba & Alola, Andrew Adewale & Savaş, Savaş, 2021. "The dynamics of material consumption in phases of the economic cycle for selected emerging countries," Resources Policy, Elsevier, vol. 70(C).
- R. Basselier & G. Minne & G. Langenus, 2019. "Why has Belgian private consumption growth been so moderate in recent years?," Economic Review, National Bank of Belgium, issue i, pages 51-67, June.
- Sala, Hector & Trivín, Pedro, 2022. "Family Finances and Debt Overhang: Evolving Consumption Patterns of Spanish Households," IZA Discussion Papers 15222, Institute of Labor Economics (IZA).
- Sala, Hector & Trivin, Pedro, 2024. "Household finances, debt overhang and consumption patterns," Economic Modelling, Elsevier, vol. 139(C).
- Yunchao, Cai & Abdullah Yusof, Selamah & Mohd Amin, Ruzita & Mohd Arshad, Mohd Nahar, 2020. "Household Debt and Household Spending Behavior: Evidence from Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(1), pages 111-120.
- Takuji Fueki & Hiroka Higashi & Naoto Higashio & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2016.
"Identifying Oil Price Shocks and Their Consequences:Role of Expectations and Financial Factors in the Crude Oil Market,"
Bank of Japan Working Paper Series
16-E-17, Bank of Japan.
Cited by:
- Antonio J. Garz n & Luis . Hierro, 2018. "Fracking, Wars and Stock Market Crashes: The Price of Oil During the Great Recession," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 20-30.
- Babak Fazelabdolabadi, 2019. "Uncertainty and energy-sector equity returns in Iran: a Bayesian and quasi-Monte Carlo time-varying analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-20, December.
- Neville Francis & Sergio Restrepo-Angel, 2018. "Sectoral and aggregate response to oil price shocks in the Colombian economy: SVAR and Local Projections approach," Borradores de Economia 1055, Banco de la Republica de Colombia.
- Jouchi Nakajima & Kosuke Takatomi & Tomoko Mori & Shinsuke Ohyama, 2016.
"Slow Trade: Structural and Cyclical Factors in Global Trade Slowdown,"
Bank of Japan Research Papers
16-12-22, Bank of Japan.
Cited by:
- Marcato, Marilia Bassetti & Dweck, Esther & Montanha, Rafael, 2022. "The densification of Chinese production chains in the context of vertically fragmented production," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 75-89.
- Ayako Obashi & Fukunari Kimura, 2018.
"Are Production Networks Passé in East Asia? Not Yet,"
Asian Economic Papers, MIT Press, vol. 17(3), pages 86-107, Fall.
- Ayako Obashi & Fukunari Kimura, "undated". "Are Production Networks Passé in East Asia? Not Yet," Working Papers DP-2018-03, Economic Research Institute for ASEAN and East Asia (ERIA).
- Xuefeng Qian & Zhao Liu & Ying Pan, 2017. "China's Trade Slowdown: Cyclical or Structural?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 25(6), pages 65-83, November.
- Mari Pangestu & Lili Yan Ing & Gracia Hadiwidjaja, 2018. "The Future of East Asia’s Trade: A Call for Better Globalization," Asian Economic Policy Review, Japan Center for Economic Research, vol. 13(2), pages 219-238, July.
- Sohei Kaihatsu & Jouchi Nakajima, 2015.
"Has Trend Inflation Shifted?: An Empirical Analysis with a Regime-Switching Model,"
Bank of Japan Working Paper Series
15-E-3, Bank of Japan.
Cited by:
- Francesco Zanetti & Tatsushi Okuda & Tomohiro Tsuruga, 2019.
"Imperfect Information, Shock Heterogeneity, and Inflation Dynamics,"
Economics Series Working Papers
881, University of Oxford, Department of Economics.
- Tatsushi Okuda & Tomohiro Tsuruga & Francesco Zanetti, 2019. "Imperfect Information, Shock Heterogeneity, and Inflation Dynamics," Discussion Papers 1918, Centre for Macroeconomics (CFM).
- Tatsushi Okuda & Tomohiro Tsuruga & Francesco Zanetti, 2019. "Imperfect Information, Shock Heterogeneity, and Inflation Dynamics," IMES Discussion Paper Series 19-E-15, Institute for Monetary and Economic Studies, Bank of Japan.
- Tatsushi Okuday & Tomohiro Tsurugaz & Francesco Zanetti, 2019. "Imperfect Information, Shock Heterogeneity, and Inflation Dynamics," BCAM Working Papers 1906, Birkbeck Centre for Applied Macroeconomics.
- Hattori, Masazumi & Yetman, James, 2017.
"The evolution of inflation expectations in Japan,"
CIS Discussion paper series
662, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
- Hattori, Masazumi & Yetman, James, 2017. "The evolution of inflation expectations in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 46(C), pages 53-68.
- Masazumi Hattori & James Yetman, 2017. "The evolution of inflation expectations in Japan," BIS Working Papers 647, Bank for International Settlements.
- OKIMOTO Tatsuyoshi, 2018.
"Trend Inflation and Monetary Policy Regimes in Japan,"
Discussion papers
18024, Research Institute of Economy, Trade and Industry (RIETI).
- Okimoto, Tatsuyoshi, 2019. "Trend inflation and monetary policy regimes in Japan," Journal of International Money and Finance, Elsevier, vol. 92(C), pages 137-152.
- Sohei Kaihatsu & Noriyuki Shiraki, 2016. "Firms' Inflation Expectations and Wage-setting Behaviors," Bank of Japan Working Paper Series 16-E-10, Bank of Japan.
- MIYAO Ryuzo & OKIMOTO Tatsuyoshi, 2017. "The Macroeconomic Effects of Japan's Unconventional Monetary Policies," Discussion papers 17065, Research Institute of Economy, Trade and Industry (RIETI).
- Mr. Gee Hee Hong & Rahul Anand & Yaroslav Hul, 2019. "Achieving the Bank of Japan’s Inflation Target," IMF Working Papers 2019/229, International Monetary Fund.
- Sohei Kaihatsu & Mitsuru Katagiri & Noriyuki Shiraki, 2017. "Phillips Curve and Price-Change Distribution under Declining Trend Inflation," Bank of Japan Working Paper Series 17-E-5, Bank of Japan.
- Adriana Lojschova, 2017.
"Did quantitative easing boost bank lending? The Slovak experience,"
Working and Discussion Papers
WP 1/2017, Research Department, National Bank of Slovakia.
- Lojschova, Adriana, 2017. "Did quantitative easing boost bank lending? The Slovak experience," MPRA Paper 79567, University Library of Munich, Germany.
- Yoshiyuki Kurachi & Kazuhiro Hiraki & Shinichi Nishioka, 2016. "Does a Higher Frequency of Micro-level Price Changes Matter for Macro Price Stickiness?: Assessing the Impact of Temporary Price Changes," Bank of Japan Working Paper Series 16-E-9, Bank of Japan.
- Yoshihiko Hogen & Ryoichi Okuma, 2018. "The Anchoring of Inflation Expectations in Japan: A Learning-Approach Perspective," Bank of Japan Working Paper Series 18-E-8, Bank of Japan.
- Koji Takahashi, 2016. "TIPS: The Trend Inflation Projection System and Estimation Results," Bank of Japan Working Paper Series 16-E-18, Bank of Japan.
- Dunne, Peter & Everett, Mary & Stuart, Rebecca, 2015. "The Expanded Asset Purchase Programme – What, Why and How of Euro Area QE," Quarterly Bulletin Articles, Central Bank of Ireland, pages 61-71, July.
- Hiroshi Ugai, 2015. "Transmission Channels and Welfare Implications of Unconventional Monetary Easing Policy in Japan," UTokyo Price Project Working Paper Series 060, University of Tokyo, Graduate School of Economics, revised Dec 2015.
- Hiroshi Ugai, "undated". "Transmission Channels and Welfare Implications of Unconventional Monetary Easing Policy in Japan," Working Papers e102, Tokyo Center for Economic Research.
- OKIMOTO, Tatsuyoshi, 2017. "Expected Inflation Regimes in Japan," Discussion paper series HIAS-E-41, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Francesco Zanetti & Tatsushi Okuda & Tomohiro Tsuruga, 2019.
"Imperfect Information, Shock Heterogeneity, and Inflation Dynamics,"
Economics Series Working Papers
881, University of Oxford, Department of Economics.
- Koichiro Kamada & Jouchi Nakajima & Shusaku Nishiguchi, 2015.
"Are Household Inflation Expectations Anchored in Japan?,"
Bank of Japan Working Paper Series
15-E-8, Bank of Japan.
Cited by:
- Gunji, Hiroshi, 2024. "Impact of the Kuroda Bazooka on Japanese households’ borrowing intentions," Japan and the World Economy, Elsevier, vol. 69(C).
- Hattori, Masazumi & Yetman, James, 2017.
"The evolution of inflation expectations in Japan,"
CIS Discussion paper series
662, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
- Hattori, Masazumi & Yetman, James, 2017. "The evolution of inflation expectations in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 46(C), pages 53-68.
- Masazumi Hattori & James Yetman, 2017. "The evolution of inflation expectations in Japan," BIS Working Papers 647, Bank for International Settlements.
- Nam, Minho & Go, Minji, 2018. "Nexus between Inflation, Inflation Perceptions and Expectations," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 40(3), pages 45-68.
- Sohei Kaihatsu & Noriyuki Shiraki, 2016. "Firms' Inflation Expectations and Wage-setting Behaviors," Bank of Japan Working Paper Series 16-E-10, Bank of Japan.
- Mr. Gee Hee Hong & Rahul Anand & Yaroslav Hul, 2019. "Achieving the Bank of Japan’s Inflation Target," IMF Working Papers 2019/229, International Monetary Fund.
- Pierre L. Siklos, 2017.
"What has publishing inflation forecasts accomplished? Central banks and their competitors,"
CAMA Working Papers
2017-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Pierre L. Siklos, 2018. "What has publishing inflation forecasts accomplished? Central banks and their competitors," CAMA Working Papers 2018-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Siklos, Pierre, 2017. "What Has Publishing Inflation Forecasts Accomplished? Central Banks And Their Competitors," LCERPA Working Papers 0098, Laurier Centre for Economic Research and Policy Analysis, revised 01 Apr 2017.
- Murasawa, Yasutomo, 2017. "Measuring the Distributions of Public Inflation Perceptions and Expectations in the UK," MPRA Paper 76244, University Library of Munich, Germany.
- Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar & Mathieu Pedemonte, 2018.
"Inflation Expectations as a Policy Tool?,"
NBER Working Papers
24788, National Bureau of Economic Research, Inc.
- Coibion, Olivier & Gorodnichenko, Yuriy & Kumar, Saten & Pedemonte, Mathieu, 2020. "Inflation expectations as a policy tool?," Journal of International Economics, Elsevier, vol. 124(C).
- Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar & Mathieu Pedemonte, 2018. "Inflation Expectations as a Policy Tool?," Working Papers 2019-06, Auckland University of Technology, Department of Economics.
- Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar & Mathieu Pedemonte, 2019. "Inflation Expectations as a Policy Tool?," NBER Chapters, in: NBER International Seminar on Macroeconomics 2019, National Bureau of Economic Research, Inc.
- Fructuoso Borrallo Egea & Pedro del Río López, 2021. "Monetary policy strategy and inflation in Japan," Occasional Papers 2116, Banco de España.
- Mototsugu Shintani & Naoto Soma, 2020. "The Effects of QQE on Long-run Inflation Expectations in Japan," CARF F-Series CARF-F-494, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Takatoshi Ito, 2021. "An Assessment of Abenomics: Evolution and Achievements," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(2), pages 190-219, July.
- Yasutomo Murasawa, 2020. "Measuring public inflation perceptions and expectations in the UK," Empirical Economics, Springer, vol. 59(1), pages 315-344, July.
- James Yetman, 2022. "What's Up with Inflation Expectations?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(1), pages 136-140, March.
- Yusuke Takahashi & Yoichiro Tamanyu, 2022. "Households' Perceived Inflation and CPI Inflation: the Case of Japan," Bank of Japan Working Paper Series 22-E-1, Bank of Japan.
- Tomiyuki Kitamura & Masaki Tanaka, 2019. "Firms' Inflation Expectations under Rational Inattention and Sticky Information: An Analysis with a Small-Scale Macroeconomic Model," Bank of Japan Working Paper Series 19-E-16, Bank of Japan.
- Fructuoso Borrallo Egea & Pedro del Río López, 2021. "Estrategia de política monetaria e inflación en Japón," Occasional Papers 2116, Banco de España.
- Evelyne Dourille-Feer, 2015. "Can the magic of Abenomics succeed?," Working Papers 2015-24, CEPII research center.
- Yuichiro Ito & Sohei Kaihatsu, 2016. "Effects of Inflation and Wage Expectations on Consumer Spending: Evidence from Micro Data," Bank of Japan Working Paper Series 16-E-7, Bank of Japan.
- Kei Imakubo & Jouchi Nakajima, 2015.
"Estimating inflation risk premia from nominal and real yield curves using a shadow-rate model,"
Bank of Japan Working Paper Series
15-E-1, Bank of Japan.
Cited by:
- Tomiyuki Kitamura & Ichiro Muto & Ikuo Takei, 2015.
"How Do Japanese Banks Set Loan Interest Rates?: Estimating Pass-Through Using Bank-Level Data,"
Bank of Japan Working Paper Series
15-E-6, Bank of Japan.
- Kitamura, Tomiyuki & Muto, Ichiro & Takei, Ikuo, 2016. "Loan interest rate pass-through and changes after the financial crisis: Japan’s evidence," Journal of the Japanese and International Economies, Elsevier, vol. 42(C), pages 10-30.
- Samuel Howorth & Domenico Lombardi & Pierre L. Siklos, 2019. "Together or Apart? Monetary Policy Divergences in the G4," Open Economies Review, Springer, vol. 30(2), pages 191-217, April.
- Berardi, Andrea & Plazzi, Alberto, 2022.
"Dissecting the yield curve: The international evidence,"
Journal of Banking & Finance, Elsevier, vol. 134(C).
- Andrea Berardi & Alberto Plazzi, 2019. "Dissecting the Yield Curve: The International Evidence," Swiss Finance Institute Research Paper Series 19-73, Swiss Finance Institute.
- Wataru Miyamoto & Thuy Lan Nguyen & Dmitriy Sergeyev, 2017.
"Government Spending Multipliers Under the Zero Lower Bound: Evidence from Japan,"
Staff Working Papers
17-40, Bank of Canada.
- Sergeyev, Dmitriy & Miyamoto, Wataru & Nguyen, Thu-Van, 2016. "Government Spending Multipliers under the Zero Lower Bound: Evidence from Japan," CEPR Discussion Papers 11633, C.E.P.R. Discussion Papers.
- Thuy Lan Nguyen & Dmitriy Sergeyev & Wataru Miyamoto, 2016. "Government Spending Multipliers under the Zero Lower Bound: Evidence from Japan," 2016 Meeting Papers 666, Society for Economic Dynamics.
- Wataru Miyamoto & Thuy Lan Nguyen & Dmitriy Sergeyev, 2018. "Government Spending Multipliers under the Zero Lower Bound: Evidence from Japan," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 247-277, July.
- Kazuhiro Hiraki & Wataru Hirata, 2020. "Market-based Long-term Inflation Expectations in Japan: A Refinement on Breakeven Inflation Rates," Bank of Japan Working Paper Series 20-E-5, Bank of Japan.
- Juan Andrés Espinosa-Torres & Luis Fernando Melo-Velandía & José Fernando Moreno-Gutiérrez, 2015.
"Expectativas de inflación, prima de riesgo inflacionario y prima de liquidez: una descomposición del break-even inflation para los bonos del gobierno colombiano,"
Borradores de Economia
13700, Banco de la Republica.
- Juan Andrés Espinosa-Torres & Luis Fernando Melo-Velandia & José Fernando Moreno-Gutiérrez, 2017. "Expectativas de inflación, prima de riesgo inflacionario y prima de liquidez: una descomposición del break-even inflation para los bonos del Gobierno colombiano," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 78, February.
- Juan Andrés Espinosa-Torres & Luis Fernando Melo-Velandia & José Fernando Moreno-Gutiérrez, 2015. "Expectativas de inflación, prima de riesgo inflacionario y prima de liquidez: una descomposición del break-even inflation para los bonos del gobierno colombiano," Borradores de Economia 903, Banco de la Republica de Colombia.
- Harendra Behera & Sitikantha Pattanaik & Rajesh Kavediya, 2015. "Natural Interest Rate: Assessing the Stance of India’s Monetary Policy under Uncertainty," Working Papers id:7654, eSocialSciences.
- Rui WANG, 2019. "Estimating the Monetary Policy Measures of Japan in Shadow/ZLB Term Structure Model," Applied Economics and Finance, Redfame publishing, vol. 6(6), pages 126-139, November.
- Ichiro Fukunaga & Naoya Kato & Junko Koeda, 2015.
"Maturity Structure and Supply Factors in Japanese Government Bond Markets,"
IMES Discussion Paper Series
15-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
- Ichiro Fukunaga & Naoya Kato & Junko Koeda, 2015. "Maturity Structure and Supply Factors in Japanese Government Bond Markets," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 33, pages 45-96, November.
- Domenico Lombardi & Pierre L. Siklos & Xiangyou Xie, 2018.
"Monetary policy transmission in systemically important economies and China’s impact,"
CAMA Working Papers
2018-50, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Lombardi, Domenico & Siklos, Pierre L. & Xie, Xiangyou, 2018. "Monetary policy transmission in systemically important economies and China’s impact," Journal of Asian Economics, Elsevier, vol. 59(C), pages 61-79.
- Sohei Kaihatsu & Shogo Nakano & Hiroki Yamamoto, 2024. "Macroeconomic Impact of Shifts in Long-term Inflation Expectations," Bank of Japan Working Paper Series 24-E-18, Bank of Japan.
- Covarrubias, Enrique & Hernández-del-Valle, Gerardo, 2016. "Inflation expectations derived from a portfolio model," MPRA Paper 69489, University Library of Munich, Germany.
- Hiroshi Ugai, 2015. "Transmission Channels and Welfare Implications of Unconventional Monetary Easing Policy in Japan," UTokyo Price Project Working Paper Series 060, University of Tokyo, Graduate School of Economics, revised Dec 2015.
- Hiroshi Ugai, "undated". "Transmission Channels and Welfare Implications of Unconventional Monetary Easing Policy in Japan," Working Papers e102, Tokyo Center for Economic Research.
- Shunsuke Haba & Yuichiro Ito & Shogo Nakano & Takahiro Yamanaka, 2024. "Assessing the Long-Term Impact of Monetary Policy," Bank of Japan Working Paper Series 24-E-19, Bank of Japan.
- Berardi, Andrea, 2023. "Term premia and short rate expectations in the euro area," Journal of Empirical Finance, Elsevier, vol. 74(C).
- Camba-Méndez, Gonzalo, 2020. "On the inflation risks embedded in sovereign bond yields," Working Paper Series 2423, European Central Bank.
- Argyropoulos, Efthymios & Tzavalis, Elias, 2021. "The influence of real interest rates and risk premium effects on the ability of the nominal term structure to forecast inflation," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 785-796.
- Tomiyuki Kitamura & Ichiro Muto & Ikuo Takei, 2015.
"How Do Japanese Banks Set Loan Interest Rates?: Estimating Pass-Through Using Bank-Level Data,"
Bank of Japan Working Paper Series
15-E-6, Bank of Japan.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015.
"Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ,"
CIRJE F-Series
CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2017. "Bayesian modeling of dynamic extreme values: extension of generalized extreme value distributions with latent stochastic processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1248-1268, May.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
Cited by:
- Gloria Gonzalez-Rivera & Yun Luo, 2020.
"A Truncated Mixture Transition Model for Interval-valued Time Series,"
Working Papers
202005, University of California at Riverside, Department of Economics.
- Gloria Gonzalez-Rivera & Yun Luo, 2023. "A Truncated Mixture Transition Model for Interval-valued Time Series," Working Papers 202315, University of California at Riverside, Department of Economics.
- Cathy W.S. Chen & Toshiaki Watanabe, 2019. "Bayesian modeling and forecasting of Value‐at‐Risk via threshold realized volatility," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(3), pages 747-765, May.
- Wulan Anggraeni & Sudradjat Supian & Sukono & Nurfadhlina Abdul Halim, 2023. "Catastrophe Bond Diversification Strategy Using Probabilistic–Possibilistic Bijective Transformation and Credibility Measures in Fuzzy Environment," Mathematics, MDPI, vol. 11(16), pages 1-30, August.
- Yucheng Sun, 2024. "Testing for jumps with robust spot volatility estimators," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 78(1), pages 79-104, February.
- Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2015.
"The natural yield curve: its concept and measurement,"
Bank of Japan Working Paper Series
15-E-5, Bank of Japan.
- Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2018. "The natural yield curve: its concept and measurement," Empirical Economics, Springer, vol. 55(2), pages 551-572, September.
Cited by:
- Brand, Claus & Goy, Gavin W & Lemke, Wolfgang, 2020.
"Natural rate chimera and bond pricing reality,"
VfS Annual Conference 2020 (Virtual Conference): Gender Economics
224546, Verein für Socialpolitik / German Economic Association.
- Brand, Claus & Goy, Gavin & Lemke, Wolfgang, 2021. "Natural rate chimera and bond pricing reality," Working Paper Series 2612, European Central Bank.
- NAKAJIMA, Jouchi & SUDO, Nao & HOGEN, Yoshihiko & TAKIZUKA, Yasutaka, 2023. "On the estimation of the natural yield curve," Discussion Paper Series 753, Institute of Economic Research, Hitotsubashi University.
- Leeper, E.M. & Leith, C., 2016. "Understanding Inflation as a Joint Monetary–Fiscal Phenomenon," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2305-2415, Elsevier.
- Campbell Leith & Eric Leeper, 2016.
"Understanding Inflation as a Joint Monetary-Fiscal Phenomenon,"
Working Papers
2016_01, Business School - Economics, University of Glasgow.
- Eric M. Leeper & Campbell Leith, 2016. "Understanding Inflation as a Joint Monetary-Fiscal Phenomenon," NBER Working Papers 21867, National Bureau of Economic Research, Inc.
- Mr. Fei Han, 2019. "Demographics and the Natural Rate of Interest in Japan," IMF Working Papers 2019/031, International Monetary Fund.
- Lee, Dong Jin & Hahm, Joon-Ho & Park, Hail & Park, Ki Young, 2020. "Measuring the Natural Rate of Interest with Financial Gaps: The Cases of Japan and South Korea," Japan and the World Economy, Elsevier, vol. 54(C).
- Koeda, Junko & Sekine, Atsushi, 2022.
"Nelson–Siegel decay factor and term premia in Japan,"
Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
- Junko Koeda & Atushi Sekine, 2021. "Nelson-Siegel Decay Factor and Term Premia in Japan," Working Papers 2106, Waseda University, Faculty of Political Science and Economics.
- Murasawa, Yasutomo, 2019.
"Bayesian multivariate Beveridge--Nelson decomposition of I(1) and I(2) series with cointegration,"
MPRA Paper
91979, University Library of Munich, Germany.
- Murasawa Yasutomo, 2022. "Bayesian multivariate Beveridge–Nelson decomposition of I(1) and I(2) series with cointegration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(3), pages 387-415, June.
- Yosuke Okazaki & Nao Sudo, 2018. "Natural Rate of Interest in Japan -- Measuring its size and identifying drivers based on a DSGE model --," Bank of Japan Working Paper Series 18-E-6, Bank of Japan.
- Yudai Hatayama & Yuto Iwasaki & Kyoko Nakagami & Tatsuyoshi Okimoto, 2024. "Globalization and Its Growing Impact on the Natural Rates of Interest in Developed Economies," Bank of Japan Working Paper Series 24-E-13, Bank of Japan.
- Kazutoshi Kan & Yui Kishaba & Tomohiro Tsuruga, 2016. "Supplementary Paper Series for the "Comprehensive Assessment" (3): Policy Effects since the Introduction of Quantitative and Qualitative Monetary Easing (QQE) -- Assessment Based on Bank of ," Bank of Japan Working Paper Series 16-E-15, Bank of Japan.
- Han, Fei, 2024. "The impact of demographic change on the natural rate of interest in Japan," Japan and the World Economy, Elsevier, vol. 69(C).
- Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2015.
"The natural yield curve: its concept and developments in Japan,"
Bank of Japan Research Laboratory Series
15-E-3, Bank of Japan.
Cited by:
- Leeper, E.M. & Leith, C., 2016. "Understanding Inflation as a Joint Monetary–Fiscal Phenomenon," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2305-2415, Elsevier.
- Sohei Kaihatsu & Koichiro Kamada & Mitsuru Katagiri, 2016. "Theoretical Foundations for Quantitative Easing," IMES Discussion Paper Series 16-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
- Han, Fei, 2024. "The impact of demographic change on the natural rate of interest in Japan," Japan and the World Economy, Elsevier, vol. 69(C).
- Shusaku Nishiguchi & Jouchi Nakajima & Kei Imakubo, 2014.
"Disagreement in households' inflation expectations and its evolution,"
Bank of Japan Review Series
14-E-1, Bank of Japan.
Cited by:
- Yoshiyuki Nakazono, 2016. "Inflation expectations and monetary policy under disagreements," Bank of Japan Working Paper Series 16-E-1, Bank of Japan.
- Gunji, Hiroshi, 2024. "Impact of the Kuroda Bazooka on Japanese households’ borrowing intentions," Japan and the World Economy, Elsevier, vol. 69(C).
- Stan Du Plessis & Monique Reid & Pierre Siklos, 2018.
"What drives household inflation expectations in South Africa? Demographics and anchoring under inflation targeting,"
CAMA Working Papers
2018-48, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Reid, Monique & Siklos, Pierre & Plessis, Stan Du, 2021. "What drives household inflation expectations in South Africa? Demographics and anchoring under inflation targeting," Economic Systems, Elsevier, vol. 45(3).
- Hattori, Masazumi & Yetman, James, 2017.
"The evolution of inflation expectations in Japan,"
CIS Discussion paper series
662, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
- Hattori, Masazumi & Yetman, James, 2017. "The evolution of inflation expectations in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 46(C), pages 53-68.
- Masazumi Hattori & James Yetman, 2017. "The evolution of inflation expectations in Japan," BIS Working Papers 647, Bank for International Settlements.
- NAKAJIMA, Jouchi, 2023. "Estimation of firms' inflation expectations using the survey DI," Discussion Paper Series 749, Institute of Economic Research, Hitotsubashi University.
- Hunziker, Hans-Ueli & Raggi, Christian & Rosenblatt-Wisch, Rina & Zanetti, Attilio, 2022.
"The impact of guidance, short-term dynamics and individual characteristics on firms’ long-term inflation expectations,"
Journal of Macroeconomics, Elsevier, vol. 71(C).
- Hans-Ueli Hunziker & Christian Raggi & Rina Rosenblatt-Wisch & Attilio Zanetti, 2018. "The impact of guidance, short-term dynamics and individual characteristics on firms' long-term inflation expectations," Working Papers 2018-18, Swiss National Bank.
- Pierre L. Siklos, 2016. "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series 16-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
- Pierre L. Siklos, 2017.
"What has publishing inflation forecasts accomplished? Central banks and their competitors,"
CAMA Working Papers
2017-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Pierre L. Siklos, 2018. "What has publishing inflation forecasts accomplished? Central banks and their competitors," CAMA Working Papers 2018-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Siklos, Pierre, 2017. "What Has Publishing Inflation Forecasts Accomplished? Central Banks And Their Competitors," LCERPA Working Papers 0098, Laurier Centre for Economic Research and Policy Analysis, revised 01 Apr 2017.
- Mr. Serkan Arslanalp & Mr. Dennis P Botman, 2015. "Portfolio Rebalancing in Japan: Constraints and Implications for Quantitative Easing," IMF Working Papers 2015/186, International Monetary Fund.
- Mototsugu Shintani & Naoto Soma, 2020. "The Effects of QQE on Long-run Inflation Expectations in Japan," CARF F-Series CARF-F-494, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Kei Imakubo & Jouchi Nakajima, 2015. "Estimating inflation risk premia from nominal and real yield curves using a shadow-rate model," Bank of Japan Working Paper Series 15-E-1, Bank of Japan.
- Takeshi Kimura & Jouchi Nakajima, 2013.
"Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach,"
Bank of Japan Working Paper Series
13-E-7, Bank of Japan.
- Kimura Takeshi & Nakajima Jouchi, 2016. "Identifying conventional and unconventional monetary policy shocks: a latent threshold approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 277-300, January.
Cited by:
- Florian Huber & Gregor Kastner & Martin Feldkircher, 2016.
"Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models,"
Papers
1607.04532, arXiv.org, revised Jul 2018.
- Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Papers wuwp235, Vienna University of Economics and Business, Department of Economics.
- Florian Huber & Gregor Kastner & Martin Feldkircher, 2019. "Should I stay or should I go? A latent threshold approach to large‐scale mixture innovation models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 621-640, August.
- Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Paper Series 235, WU Vienna University of Economics and Business.
- Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2018. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Working Papers in Economics 2018-5, University of Salzburg.
- Alexandra Ferreira‐Lopes & Pedro Linhares & Luís Filipe Martins & Tiago Neves Sequeira, 2022. "Quantitative easing and economic growth in Japan: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 235-268, February.
- Dekle, Robert & Hamada, Koichi, 2015. "Japanese monetary policy and international spillovers," Journal of International Money and Finance, Elsevier, vol. 52(C), pages 175-199.
- Henrike Michaelis & Sebastian Watzka, 2014.
"Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?,"
CESifo Working Paper Series
4901, CESifo.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Munich Reprints in Economics 55051, University of Munich, Department of Economics.
- Andrew Filardo & Jouchi Nakajima, 2018. "Effectiveness of unconventional monetary policies in a low interest rate environment," BIS Working Papers 691, Bank for International Settlements.
- Filipa Lima & Sonia Mota, 2017. "Unconventional monetary policy - is there a call for unconventional statistics?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistical implications of the new financial landscape, volume 43, Bank for International Settlements.
- Georgios Georgiadis & Martina Jancokova, 2017.
"Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks,"
Globalization Institute Working Papers
314, Federal Reserve Bank of Dallas.
- Georgiadis, Georgios & Jančoková, Martina, 2020. "Financial globalisation, monetary policy spillovers and macro-modelling: Tales from 1001 shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
- Georgiadis, Georgios & Jančoková, Martina, 2017. "Financial globalisation, monetary policy spillovers and macro-modelling: tales from 1001 shocks," Working Paper Series 2082, European Central Bank.
- Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," GRU Working Paper Series GRU_2017_008, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
- MIYAO Ryuzo & OKIMOTO Tatsuyoshi, 2017. "The Macroeconomic Effects of Japan's Unconventional Monetary Policies," Discussion papers 17065, Research Institute of Economy, Trade and Industry (RIETI).
- Fumio Hayashi & Junko Koeda, 2013. "A Regime-Switching SVAR Analysis of Quantitative Easing," CARF F-Series CARF-F-322, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Renzhi, Nuobu, 2022. "Do house prices play a role in unconventional monetary policy transmission in Japan?," Journal of Asian Economics, Elsevier, vol. 83(C).
- Martin, Feldkircher & Thomas, Gruber & Florian, Huber, 2019.
"International effects of a compression of euro area yield curves,"
Working Papers in Economics
2019-1, University of Salzburg.
- Feldkircher, Martin & Gruber, Thomas & Huber, Florian, 2017. "Spreading the word or reducing the term spread? Assessing spillovers from euro area monetary policy," Department of Economics Working Paper Series 248, WU Vienna University of Economics and Business.
- Feldkircher, Martin & Gruber, Thomas & Huber, Florian, 2017. "Spreading the word or reducing the term spread? Assessing spillovers from euro area monetary policy," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168111, Verein für Socialpolitik / German Economic Association.
- Feldkircher, Martin & Gruber, Thomas & Huber, Florian, 2020. "International effects of a compression of euro area yield curves," Journal of Banking & Finance, Elsevier, vol. 113(C).
- Martin Feldkircher & Thomas Gruber & Florian Huber, 2017. "Spreading the word or reducing the term spread? Assessing spillovers from euro area monetary policy," Department of Economics Working Papers wuwp248, Vienna University of Economics and Business, Department of Economics.
- Ritsu Yano & Yoshiyuki Nakazono & Kento Tango, 2024. "The Transmission of Monetary Policy Shocks: Evidence from Japan," TUPD Discussion Papers 57, Graduate School of Economics and Management, Tohoku University.
- Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
- Yusuke Tanahara & Kento Tango & Yoshiyuki Nakazono, 2023.
"Information Effects of Monetary Policy,"
TUPD Discussion Papers
41, Graduate School of Economics and Management, Tohoku University.
- Tanahara, Yusuke & Tango, Kento & Nakazono, Yoshiyuki, 2023. "Information effects of monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 70(C).
- Nagao, Ryoya & Kondo, Yoshihiro & Nakazono, Yoshiyuki, 2021. "The macroeconomic effects of monetary policy: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
- Cone, Thomas E., 2022. "Learning with unobserved regimes," Journal of Macroeconomics, Elsevier, vol. 73(C).
- Kansho Piotr Otsubo, 2018. "The Effects of Fiscal and Monetary Policies in Japan: What Combination of Policies Should Be Used?," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 9(01n02), pages 1-25, February.
- Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
- Hiroyuki Ijiri & Yoichi Matsubayashi, 2016. "Quantitative Easing Policy, Exchange Rates and Business Activity by Industry in Japan from 2001-2006," Discussion Papers 1611, Graduate School of Economics, Kobe University.
- Hanisch, Max, 2017. "The effectiveness of conventional and unconventional monetary policy: Evidence from a structural dynamic factor model for Japan," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 110-134.
- Mike West, 2020. "Reply to Discussion of “Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions”," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 41-44, February.
- Stéphane Lhuissier & Benoît Mojon & Juan Rubio-Ramírez, 2020.
"Does the Liquidity Trap Exist?,"
Working papers
762, Banque de France.
- Stéphane Lhuissier & Benoit Mojon & Juan Rubio-Ramírez, 2020. "Does the liquidity trap exist?," BIS Working Papers 855, Bank for International Settlements.
- Stéphane Lhuissier & Benoît Mojon & Juan Rubio-Ramírez, 2020. "Does the Liquidity Trap Exist?," Working Papers 2020-04, FEDEA.
- Fumio Hayashi & Junko Koeda, 2014. "Exiting from QE," NBER Working Papers 19938, National Bureau of Economic Research, Inc.
- Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
- Kiyotaka Nakashima & Masahiko Shibamoto & Koji Takahashi, 2019.
"Identifying Quantitative and Qualitative Monetary Policy Shocks,"
Discussion Paper Series
DP2019-09, Research Institute for Economics & Business Administration, Kobe University, revised Mar 2023.
- Kiyotaka Nakashima & Masahiko Shibamoto & Koji Takahashi, 2024. "Identifying Quantitative and Qualitative Monetary Policy Shocks," International Journal of Central Banking, International Journal of Central Banking, vol. 20(3), pages 1-61, July.
- Yuto Iwasaki & Nao Sudo, 2017. "Myths and Observations on Unconventional Monetary Policy -- Takeaways from Post-Bubble Japan --," Bank of Japan Working Paper Series 17-E-11, Bank of Japan.
- Hiroyuki Kubota & Mototsugu Shintani, 2023. "Macroeconomic Effects of Monetary Policy in Japan: An Analysis Using Interest Rate Futures Surprises," CARF F-Series CARF-F-555, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Hiroyuki Kubota & Mototsugu Shintani, 2020. "High-frequency Identification of Unconventional Monetary Policy Shocks in Japan," CARF F-Series CARF-F-502, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Kiyotaka Nakashima & Masahiko Shibamoto & Koji Takahashi, 2017. "Identifying Unconventional Monetary Policy Shocks," Discussion Paper Series DP2017-05, Research Institute for Economics & Business Administration, Kobe University, revised Apr 2017.
- Gerti Shijaku, 2015. "The Macroeconomic Pass-through Effects of Monetary Policy through Sign Restrictions Approach: In the Case of Albania," IHEID Working Papers 11-2015, Economics Section, The Graduate Institute of International Studies.
- Bäurle Gregor & Kaufmann Daniel & Kaufmann Sylvia & Strachan Rodney, 2020. "Constrained interest rates and changing dynamics at the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-26, April.
- Ryuzo Miyao & Tatsuyoshi Okimoto, 2020. "Regime shifts in the effects of Japan’s unconventional monetary policies," Manchester School, University of Manchester, vol. 88(6), pages 749-772, December.
- Ahmed Ashour Abdullah & Ahmed Mohamed Hassanien, 2022. "Spillovers of US Unconventional Monetary Policy to Emerging Markets: Evidence from Egypt," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(6), pages 1-1, June.
- Annika Camehl & Tomasz Wo'zniak, 2023. "Time-Varying Identification of Monetary Policy Shocks," Papers 2311.05883, arXiv.org, revised May 2024.
- Junko Koeda, 2018.
"Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures,"
IMES Discussion Paper Series
18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
- Koeda, Junko, 2019. "Macroeconomic effects of quantitative and qualitative monetary easing measures," Journal of the Japanese and International Economies, Elsevier, vol. 52(C), pages 121-141.
- Koichiro Kamada & Jouchi Nakajima, 2013.
"On the Reliability of Japanese Inflation Expectations Using Purchasing Power Parity,"
Bank of Japan Working Paper Series
13-E-13, Bank of Japan.
- Koichiro Kamada & Jouchi Nakajima, 2014. "On the reliability of Japanese inflation expectations using purchasing power parity," Economic Analysis and Policy, Elsevier, vol. 44(3), pages 259-265.
Cited by:
- Petra Gerlach-Kristen & Richhild Moessner & Rina Rosenblatt-Wisch, 2018.
"Computing Long-Term Market Inflation Expectations for Countries without Inflation Expectation Markets,"
Russian Journal of Money and Finance, Bank of Russia, vol. 77(3), pages 23-48, September.
- Petra Gerlach & Richhild Moessner & Rina Rosenblatt-Wisch, 2017. "Computing long‐term market inflation expectations for countries without inflation expectation markets," Working Papers 2017-09, Swiss National Bank.
- Mr. Serkan Arslanalp & Mr. Dennis P Botman, 2015. "Portfolio Rebalancing in Japan: Constraints and Implications for Quantitative Easing," IMF Working Papers 2015/186, International Monetary Fund.
- Rosa Ferrentino & Luca Vota, 2022. "An Analysis of the Effectiveness of Japanese Monetary Policy Through a Statistical Mathematical Approach: a Simultaneous Equations Model (SEM)," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(1), pages 1-2.
- Hiroshi Ugai, 2015. "Transmission Channels and Welfare Implications of Unconventional Monetary Easing Policy in Japan," UTokyo Price Project Working Paper Series 060, University of Tokyo, Graduate School of Economics, revised Dec 2015.
- Hiroshi Ugai, "undated". "Transmission Channels and Welfare Implications of Unconventional Monetary Easing Policy in Japan," Working Papers e102, Tokyo Center for Economic Research.
- Chiang, Shu-Hen & Lee, Chien-Chiang & Liao, Ying, 2021. "Exploring the sources of inflation dynamics: New evidence from China," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 313-332.
- Christina Anderl & Guglielmo Maria Caporale, 2021.
"Nonlinearities and asymmetric adjustment to PPP in an exchange rate model with inflation expectations,"
Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(6), pages 937-959, August.
- Christina Anderl & Guglielmo Maria Caporale, 2021. "Nonlinearities and Asymmetric Adjustment to PPP in an Exchange Rate Model with Inflation Expectations," CESifo Working Paper Series 8921, CESifo.
- Jouchi Nakajima & Toshiaki Watanabe, 2012.
"Time-Varying Vector Autoregressive Model - A Survey with the Application to the Japanese Macroeconomic Data -,"
Global COE Hi-Stat Discussion Paper Series
gd12-232, Institute of Economic Research, Hitotsubashi University.
- Nakajima, Jouchi & Watanabe, Toshiaki, 2012. "Time-Varying Vector Autoregressive Modei-A Survey with the Application to the Japanese Macroeconomic Data-," Economic Review, Hitotsubashi University, vol. 63(3), pages 193-208, July.
Cited by:
- Chaofeng Tang & Kentaka Aruga, 2020. "A Study on the Pass-Through Rate of the Exchange Rate on the Liquid Natural Gas (LNG) Import Price in China," IJFS, MDPI, vol. 8(4), pages 1-19, November.
- Jouchi Nakajima, 2011.
"Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications,"
IMES Discussion Paper Series
11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
- Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
Cited by:
- Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
- Huang, Yingying & Duan, Kun & Urquhart, Andrew, 2023. "Time-varying dependence between Bitcoin and green financial assets: A comparison between pre- and post-COVID-19 periods," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
- Bogdan DIMA & Ştefana Maria DIMA & Flavia BARNA, 2019. "Inflation Contagion Effects in the Baltic Countries: A Time-varying Coefficients VAR with Stochastic Volatility Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 72-87, March.
- Noori, Mohammad, 2024. "Stock-oil comovements through fear, uncertainty, and expectations: Evidence from conditional comoments," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 529-551.
- Rufei Zhang & Haizhen Zhang & Wang Gao & Ting Li & Shixiong Yang, 2022. "The Dynamic Effects of Oil Price Shocks on Exchange Rates—From a Time-Varying Perspective," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
- Haque, Qazi & Magnusson, Leandro M., 2021.
"Uncertainty shocks and inflation dynamics in the U.S,"
Economics Letters, Elsevier, vol. 202(C).
- Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the U.S," Economics Discussion / Working Papers 20-25, The University of Western Australia, Department of Economics.
- Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the US," CAMA Working Papers 2020-100, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Vittorio Peretti & Rangan Gupta & Roula Inglesi-Lotz, 2012. "Do House Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-Varying Vector Autoregressive Model," Working Papers 201216, University of Pretoria, Department of Economics.
- Hai-Chuan Xu & Fredj Jawadi & Jie Zhou & Wei-Xing Zhou, 2023.
"Quantifying interconnectedness and centrality ranking among financial institutions with TVP-VAR framework,"
Empirical Economics, Springer, vol. 65(1), pages 93-110, July.
- Hai-Chuan Xu & Fredj Jawadi & Jie Zhou & Wei-Xing Zhou, 2022. "Quantifying interconnectedness and centrality ranking among financial institutions with TVP-VAR framework," Post-Print hal-04478741, HAL.
- Annalisa Cadonna & Sylvia Fruhwirth-Schnatter & Peter Knaus, 2019. "Triple the gamma -- A unifying shrinkage prior for variance and variable selection in sparse state space and TVP models," Papers 1912.03100, arXiv.org.
- Angelo Marsiglia Fasolo, 2018.
"Monetary Policy Volatility Shocks in Brazil,"
Working Papers Series
480, Central Bank of Brazil, Research Department.
- Fasolo, Angelo Marsiglia, 2019. "Monetary policy volatility shocks in Brazil," Economic Modelling, Elsevier, vol. 81(C), pages 348-360.
- Zhao, Yang & Zhang, Maojun & Pei, Ziting & Nan, Jiangxia, 2023. "The effects of quantitative easing on Bitcoin prices," Finance Research Letters, Elsevier, vol. 57(C).
- Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
- Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019.
"Empirical evidence on the dynamics of investment under uncertainty in the U.S,"
Economics Discussion / Working Papers
19-18, The University of Western Australia, Department of Economics.
- Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2021. "Empirical Evidence on the Dynamics of Investment Under Uncertainty in the U.S," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1193-1217, October.
- Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019. "Empirical evidence on the dynamics of investment under uncertainty in the US," CAMA Working Papers 2019-87, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
- Yang, Xite & Zhang, Qin & Liu, Haiyue & Liu, Zihan & Tao, Qiufan & Lai, Yongzeng & Huang, Linya, 2024. "Economic policy uncertainty, macroeconomic shocks, and systemic risk: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
- Corina SAMAN, 2016. "The Impact of the US and Euro Area Financial Systemic Stress to the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 170-183, December.
- Simon Beyeler, 2019. "Streamlining Time-varying VAR with a Factor Structure in the Parameters," Working Papers 19.03, Swiss National Bank, Study Center Gerzensee.
- Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
- Ouyang, Zisheng & Lu, Min & Lai, Yongzeng, 2023. "Forecasting stock index return and volatility based on GAVMD- Carbon-BiLSTM: How important is carbon emission trading?," Energy Economics, Elsevier, vol. 128(C).
- He, Zhifang, 2020. "Dynamic impacts of crude oil price on Chinese investor sentiment: Nonlinear causality and time-varying effect," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 131-153.
- Oguzhan Ozcelebi & Kaya Tokmakcioglu, 2022. "Assessment of the asymmetric impacts of the geopolitical risk on oil market dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 275-289, January.
- Jun Gao & Sheng Zhu & Niall O’Sullivan & Meadhbh Sherman, 2019. "The Role of Economic Uncertainty in UK Stock Returns," JRFM, MDPI, vol. 12(1), pages 1-16, January.
- Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2018.
"Forecasting US GNP growth: The role of uncertainty,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(5), pages 541-559, August.
- Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.
- Weina Cai & Sen Wang, 2018. "The Time-Varying Effects of Monetary Policy on House Prices in China: An Application of TVP-VAR Model with Stochastic Volatility," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(4), pages 149-149, March.
- Liu, Zhenhua & Chen, Shumin & Zhong, Hongyu & Ding, Zhihua, 2024. "Coal price shocks, investor sentiment, and stock market returns," Energy Economics, Elsevier, vol. 135(C).
- Long, Shaobo & Guo, Jiaqi, 2022. "Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks," Research in International Business and Finance, Elsevier, vol. 62(C).
- Zouhaier Dhifaoui & Sami Ben Jabeur & Rabeh Khalfaoui & Muhammad Ali Nasir, 2023.
"Time‐varying partial‐directed coherence approach to forecast global energy prices with stochastic volatility model,"
Post-Print
hal-04296385, HAL.
- Zouhaier Dhifaoui & Sami Ben Jabeur & Rabeh Khalfaoui & Muhammad Ali Nasir, 2023. "Time‐varying partial‐directed coherence approach to forecast global energy prices with stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2292-2306, December.
- Pami Dua & Deepika Goel, 2021. "Inflation Persistence in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 525-553, September.
- Abdhut Deheri, 2021. "The Effects of Monetary Policy on Output and Inflation in India: A Time-varying Approach," Economics Bulletin, AccessEcon, vol. 41(3), pages 1603-1614.
- Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
- Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011.
"Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy,"
Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd09-072, Institute of Economic Research, Hitotsubashi University.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," IMES Discussion Paper Series 09-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
- Tomoyuki Yagi & Yoshiyuki Kurachi & Masato Takahashi & Kotone Yamada & Hiroshi Kawata, 2022. "Pass-Through of Cost-Push Pressures to Consumer Prices," Bank of Japan Working Paper Series 22-E-17, Bank of Japan.
- Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
- Sushanta K Mallick & Madhusudan Mohanty & Fabrizio Zampolli, 2017.
"Market volatility, monetary policy and the term premium,"
BIS Working Papers
606, Bank for International Settlements.
- Abhishek Kumar & Sushanta Mallick & Madhusudan Mohanty & Fabrizio Zampolli, 2023. "Market Volatility, Monetary Policy and the Term Premium," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 208-237, February.
- Etsuro Shioji, 2014. "A Pass-Through Revival," Asian Economic Policy Review, Japan Center for Economic Research, vol. 9(1), pages 120-138, January.
- Zhang, Xu & Ding, Zhijing & Hang, Jianqin & He, Qizhi, 2022. "How do stock price indices absorb the COVID-19 pandemic shocks?," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
- Henrike Michaelis & Sebastian Watzka, 2014.
"Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?,"
CESifo Working Paper Series
4901, CESifo.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Munich Reprints in Economics 55051, University of Munich, Department of Economics.
- Robert N. McCauley & Patrick McGuire & Vladyslav Sushko, 2015.
"Global dollar credit: links to US monetary policy and leverage,"
Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 30(82), pages 187-229.
- Robert N McCauley & Patrick McGuire & Vladyslav Sushko, 2015. "Global dollar credit: links to US monetary policy and leverage," BIS Working Papers 483, Bank for International Settlements.
- Wenying Zeng & Songbai Song & Yan Kang & Xuan Gao & Rui Ma, 2022. "Response of Runoff to Meteorological Factors Based on Time-Varying Parameter Vector Autoregressive Model with Stochastic Volatility in Arid and Semi-Arid Area of Weihe River Basin," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
- Cai, Yifei & Wu, Yanrui, 2021. "Time-varying interactions between geopolitical risks and renewable energy consumption," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 116-137.
- Zheng, Deyuan & Zhao, Chunguang & Hu, Jiaying, 2023. "Impact of geopolitical risk on the volatility of natural resource commodity futures prices in China," Resources Policy, Elsevier, vol. 83(C).
- Li, Shaoyu & Zhu, Chunhui & Shang, Yuhuang, 2023. "Hedging demand and near-zero swap spreads: Evidence from the Chinese interest rate swap market," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 170-185.
- Mohamad, Azhar & Stavroyiannis, Stavros, 2022. "Do birds of a feather flock together? Evidence from time-varying herding behaviour of bitcoin and foreign exchange majors during Covid-19," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
- Andrew Filardo & Jouchi Nakajima, 2018. "Effectiveness of unconventional monetary policies in a low interest rate environment," BIS Working Papers 691, Bank for International Settlements.
- Lu, Man & Wang, Wei & Chen, Fengwen & Li, Hongmei, 2024. "Dynamic impacts of multidimensional uncertainty on the renminbi exchange rate: Insights from time-varying analysis," International Review of Financial Analysis, Elsevier, vol. 94(C).
- David Finck & Joerg Schmidt & Peter Tillmann, 2018. "Mortgage Debt and Time-Varying Monetary Policy Transmission," MAGKS Papers on Economics 201809, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Chance Mwabutwa & Manoel Bittencourt & Nicola Viegi, 2013.
"Evolution of Monetary Policy Transmission Mechanism in Malawi: A TVP-VAR Approach,"
Working Papers
201327, University of Pretoria, Department of Economics.
- Chance Ngamanya Mwabutwa & Nicola Viegi & Manoel Bittencourt, 2016. "Evolution Of Monetary Policy Transmission Mechanism In Malawi: A Tvp-Var Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 41(1), pages 33-55, March.
- Jouchi Nakajima, 2011.
"Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach,"
IMES Discussion Paper Series
11-E-08, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
- Nikolaos A. Kyriazis, 2021. "Trade Policy Uncertainty Effects on Macro Economy and Financial Markets: An Integrated Survey and Empirical Investigation," JRFM, MDPI, vol. 14(1), pages 1-20, January.
- Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
- Dahem, Ahlem & Skander, Slim & Fatma, Siala Guermazi, 2017. "Time Varying VAR Analysis for Disaggregated Exchange Rate Pass-through in Tunisia," MPRA Paper 79759, University Library of Munich, Germany, revised 2017.
- Hussain Ali Bekhet & Nor Hamisham Harun, 2017. "Elasticity and Causality among Electricity Generation from Renewable Energy and Its Determinants in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 202-216.
- Gong, Xu & Xu, Jun & Liu, Tangyong & Zhou, Zicheng, 2022. "Dynamic volatility connectedness between industrial metal markets," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
- Etsuro Shioji, 2015.
"Time varying pass-through: Will the yen depreciation help Japan hit the inflation target?,"
UTokyo Price Project Working Paper Series
050, University of Tokyo, Graduate School of Economics.
- Shioji, Etsuro, 2015. "Time varying pass-through: Will the yen depreciation help Japan hit the inflation target?," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 43-58.
- Huang, Junbo & Tian, Huiting & Shen, Weibing, 2023. "Characteristics and mechanisms of the U.S. stock market spillover effects on the Chinese A-share market: Evidence from 6 A-share broad-based and 31 sector indices," International Review of Financial Analysis, Elsevier, vol. 87(C).
- Chaofeng Tang & Kentaka Aruga, 2020. "A Study on the Pass-Through Rate of the Exchange Rate on the Liquid Natural Gas (LNG) Import Price in China," IJFS, MDPI, vol. 8(4), pages 1-19, November.
- Yang, Cai & Niu, Zibo & Gao, Wang, 2022. "The time-varying effects of trade policy uncertainty and geopolitical risks shocks on the commodity market prices: Evidence from the TVP-VAR-SV approach," Resources Policy, Elsevier, vol. 76(C).
- Jerome Creel & Paul Hubert, 2008.
"Has the Adoption of Inflation Targeting Represented a Regime Switch? Empirical evidence from Canada, Sweden and the UK,"
Documents de Travail de l'OFCE
2008-25, Observatoire Francais des Conjonctures Economiques (OFCE).
- Creel, Jérôme & Hubert, Paul, 2015. "Has Inflation Targeting Changed The Conduct Of Monetary Policy?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 1-21, January.
- Jérôme Creel & Paul Hubert, 2008. "Has the Adoption of Inflation Targeting Represented a Regime Switch? Empirical evidence from Canada, Sweden and the UK," SciencePo Working papers Main hal-01064264, HAL.
- Jérôme Creel & Paul Hubert, 2008. "Has the Adoption of Inflation Targeting Represented a Regime Switch? Empirical evidence from Canada, Sweden and the UK," Post-Print hal-01064264, HAL.
- Paul Hubert & Jérôme Creel, 2008. "Has the Adoption of Inflation Targeting Represented a Regime Switch ? Empiric Evidence from Canada, Sweden and the UK," Working Papers hal-01064262, HAL.
- Paul Hubert & Jérôme Creel, 2008. "Has the Adoption of Inflation Targeting Represented a Regime Switch ? Empiric Evidence from Canada, Sweden and the UK," SciencePo Working papers Main hal-01064262, HAL.
- Jerome Creel & Paul Hubert, 2010. "Has Inflation Targeting Changed Monetary Policy Preferences?," Documents de Travail de l'OFCE 2010-14, Observatoire Francais des Conjonctures Economiques (OFCE).
- Yifei Li & Yuhang Bai, 2023. "Research on the Impact of Global Economic Policy Uncertainty on Manufacturing: Evidence from China, the United States, and the European Union," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
- Liu, Yunqiang & Liu, Sha & Ye, Deping & Tang, Hong & Wang, Fang, 2022. "Dynamic impact of negative public sentiment on agricultural product prices during COVID-19," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
- Pedro Gomis-Porqueras & Romina Ruprecht & Xuan Zhou, 2023. "A Financial Stress Index for a Small Open Economy: The Australian Case," Finance and Economics Discussion Series 2023-029, Board of Governors of the Federal Reserve System (U.S.).
- Jiang, Yanhui & Qu, Bo & Hong, Yun & Xiao, Xiyue, 2024. "Dynamic connectedness of inflation around the world: A time-varying approach from G7 and E7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 111-125.
- Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
- Tunc, Ahmet & Kocoglu, Mustafa & Aslan, Alper, 2022. "Time-varying characteristics of the simultaneous interactions between economic uncertainty, international oil prices and GDP: A novel approach for Germany," Resources Policy, Elsevier, vol. 77(C).
- SASAKI Yuri & YOSHIDA Yushi & Piotr Kansho OTSUBO, 2019. "Exchange rate pass-through on Japanese prices: Import price, producer price, and core CPI," Discussion papers 19078, Research Institute of Economy, Trade and Industry (RIETI).
- Wang, Kuan-Min & Lee, Yuan-Ming, 2022. "Is gold a safe haven for exchange rate risks? An empirical study of major currency countries," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
- Xie He & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility," JRFM, MDPI, vol. 11(4), pages 1-16, December.
- Xiaoqing An & William A. Barnett & Xue Wang & Qingyuan Wu, 2023.
"Brexit spillovers: how economic policy uncertainty affects foreign direct investment and international trade,"
The European Journal of Finance, Taylor & Francis Journals, vol. 29(16), pages 1913-1932, November.
- Xiaoqing An & William A. Barnett & Xue Wang & Qingyuan Wu, 2022. "Brexit Spillovers: How Economic Policy Uncertainty Affects Foreign Direct Investment and International Trade," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202208, University of Kansas, Department of Economics.
- Niaz Bashiri Behmiri & Maryam Ahmadi & Juha-Pekka Junttila & Matteo Manera, 2021.
"Financial Stress and Basis in Energy Markets,"
The Energy Journal, , vol. 42(5), pages 67-88, September.
- Niaz Bashiri Behmiri, Maryam Ahmadi, Juha-Pekka Junttila, and Matteo Manera, 2021. "Financial Stress and Basis in Energy Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
- Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018.
"Oil price shocks and uncertainty: How stable is their relationship over time?,"
Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
- Stavros Degiannakis & George Filis & Sofia Panagiotakopoulou, 2018. "Oil Price Shocks and Uncertainty: How stable is their relationship over time?," BAFES Working Papers BAFES13, Department of Accounting, Finance & Economic, Bournemouth University.
- Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil Price Shocks and Uncertainty: How stable is their relationship over time?," MPRA Paper 96271, University Library of Munich, Germany.
- Phan, Tuan, 2016. "Has Monetary Policy Become More Aggressive, But Less Effective Over Time?," MPRA Paper 107200, University Library of Munich, Germany.
- Kaihatsu, Sohei & Nakajima, Jouchi, 2018. "Has trend inflation shifted?: An empirical analysis with an equally-spaced regime-switching model," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 69-83.
- BenMabrouk, Houda & Sassi, Syrine & Soltane, Feriel & Abid, Ilyes, 2024. "Connectedness and portfolio hedging between NFTs segments, American stocks and cryptocurrencies Nexus," International Review of Financial Analysis, Elsevier, vol. 91(C).
- Ghassen El Montasser & Rangan Gupta & Jooste Charl & Stephen M. Miller, 2020.
"The Time-series Linkages between US Fiscal Policy and Asset Prices,"
Public Finance Review, , vol. 48(3), pages 303-339, May.
- Ghassen El Montasser & Rangan Gupta & Charl Jooste & Stephen M. Miller, 2015. "The Time-Series Linkages between US Fiscal Policy and Asset Prices," Working Papers 201519, University of Pretoria, Department of Economics.
- Ghassen El Montasser & Rangan Gupta & Charl Jooste & Stephen M. Miller, 2016. "The time-series linkages between US fiscal policy and asset prices," Working papers 2016-15, University of Connecticut, Department of Economics.
- Hummaira Jabeen, 2022. "Monetary Policy Shock Transmission in Emerging Markets," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 379-390, December.
- Huang, Jianbai & Li, Yingli & Zhang, Hongwei & Chen, Jinyu, 2021. "The effects of uncertainty measures on commodity prices from a time-varying perspective," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 100-114.
- Dimitrakopoulos, Stefanos, 2017. "Semiparametric Bayesian inference for time-varying parameter regression models with stochastic volatility," Economics Letters, Elsevier, vol. 150(C), pages 10-14.
- Pancrazi, Roberto & Vukotic, Marija, 2013.
"Technology Persistence and Monetary Policy,"
The Warwick Economics Research Paper Series (TWERPS)
1013, University of Warwick, Department of Economics.
- Pancrazi, Roberto & Vukotic, Marija, 2012. "Technology Persistence and Monetary Policy," Economic Research Papers 270536, University of Warwick - Department of Economics.
- Wang, Yonglian & Wang, Lijun & Pan, Changchun & Hong, Songzhi, 2022. "Economic policy uncertainty and price pass-through effect of exchange rate in China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
- Won Joong Kim & Shawkat Hammoudeh & Jun Seog Hyun & Rangan Gupta, 2014.
"Oil Price Shocks and China’s Economy: Reactions of the Monetary Policy to Oil Price Shocks,"
Working Papers
201481, University of Pretoria, Department of Economics.
- Kim, Won Joong & Hammoudeh, Shawkat & Hyun, Jun Seog & Gupta, Rangan, 2017. "Oil price shocks and China's economy: Reactions of the monetary policy to oil price shocks," Energy Economics, Elsevier, vol. 62(C), pages 61-69.
- Rodriguez, Gabriel & Castillo B., Paul & Calero, Roberto & Salcedo Cisneros, Rodrigo & Ataurima Arellano, Miguel, 2024.
"Evolution of the exchange rate pass-through into prices in Peru: An empirical application using TVP-VAR-SV models,"
Journal of International Money and Finance, Elsevier, vol. 142(C).
- Roberto Calero & Gabriel Rodríguez & Rodrigo Salcedo Cisneros, 2022. "Evolution of the Exchange Rate Pass-Throught into Prices in Peru: An Empirical Application Using TVP-VAR-SV Models," Documentos de Trabajo / Working Papers 2022-510, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Yan, Wan-Lin & Cheung, Adrian (Wai Kong), 2023. "The dynamic spillover effects of climate policy uncertainty and coal price on carbon price: Evidence from China," Finance Research Letters, Elsevier, vol. 53(C).
- Sylvia Fruhwirth-Schnatter & Peter Knaus, 2022. "Sparse Bayesian State-Space and Time-Varying Parameter Models," Papers 2207.12147, arXiv.org.
- Kim, Jong-Min & Jung, Hojin, 2016. "Linear time-varying regression with Copula–DCC–GARCH models for volatility," Economics Letters, Elsevier, vol. 145(C), pages 262-265.
- Xingchen Lv & Jun Meng & Qiufeng Wu, 2022. "Dynamic Influence of Network Public Opinions on Price Fluctuation of Small Agricultural Products Based on NLP-TVP-VAR Model—Taking Garlic as an Example," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
- Dawid J. van Lill, 2017. "Changes in the Liquidity Effect Over Time: Evidence from Four Monetary Policy Regimes," Working Papers 704, Economic Research Southern Africa.
- Zheng, Tingguo & Ye, Shiqi & Hong, Yongmiao, 2023. "Fast estimation of a large TVP-VAR model with score-driven volatilities," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
- Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
- Jingbin Wang & Beibei Xia & Huiling Qiao, 2022. "Time‐varying impact of housing price fluctuations on banking financial risk," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(2), pages 457-467, March.
- Renzhi, Nuobu, 2022. "Do house prices play a role in unconventional monetary policy transmission in Japan?," Journal of Asian Economics, Elsevier, vol. 83(C).
- Qin, Yun & Chen, Jinyu & Dong, Xuesong, 2021. "Oil prices, policy uncertainty and travel and leisure stocks in China," Energy Economics, Elsevier, vol. 96(C).
- Freddy Ronalde Camacho-Villagomez & Yanina Shegia Bajaña-Villagomez & Andrea Johanna RodrÃguez-Bustos, 2024. "Estimating the Impact of Oil Price Volatility on the Ecuadorian Economy: A MIDAS Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 371-376, July.
- Guangyang Chen & Kai Dong & Shaonan Wang & Xiuli Du & Ronghua Zhou & Zhongwei Yang, 2022. "The Dynamic Relationship among Bank Credit, House Prices and Carbon Dioxide Emissions in China," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
- Sheng Zhu & Ella Kavanagh & Niall O'Sullivan, 2021. "Constructing a financial conditions index for the United Kingdom: A comparative analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2976-2989, April.
- Sasaki, Yuri & Yoshida, Yushi & Otsubo, Piotr Kansho, 2022. "Exchange rate pass-through to Japanese prices: Import prices, producer prices, and the core CPI," Journal of International Money and Finance, Elsevier, vol. 123(C).
- Amine Ben Amar, 2022. "On the role of Islamic banks in the monetary policy transmission in Saudi Arabia," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 55-94, March.
- Christophe Andre & David Gabauer & Rangan Gupta, 2020. "Time-Varying Spillovers between Housing Sentiment and Housing Market in the United States," Working Papers 202091, University of Pretoria, Department of Economics.
- Si Mohammed, Kamel & Khalfaoui, Rabeh & Doğan, Buhari & Sharma, Gagan Deep & Mentel, Urszula, 2023. "The reaction of the metal and gold resource planning in the post-COVID-19 era and Russia-Ukrainian conflict: Role of fossil fuel markets for portfolio hedging strategies," Resources Policy, Elsevier, vol. 83(C).
- Jawadi, Fredj & Mallick, Sushanta K. & Idi Cheffou, Abdoulkarim & Augustine, Anish, 2021. "Does higher unemployment lead to greater criminality? Revisiting the debate over the business cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 448-471.
- Guo, Dong & Zhou, Peng, 2021.
"The Rise of a New Anchor Currency in RCEP? A Tale of Three Currencies,"
Cardiff Economics Working Papers
E2021/23, Cardiff University, Cardiff Business School, Economics Section.
- Guo, Dong & Zhou, Peng, 2021. "The rise of a new anchor currency in RCEP? A tale of three currencies," Economic Modelling, Elsevier, vol. 104(C).
- Mohamad, Azhar & Fromentin, Vincent, 2023. "Herd and causality dynamics between energy commodities and ethical investment: Evidence from the different phases of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 126(C).
- Boubekeur Baba & Güven Sevil, 2021. "Bayesian analysis of time-varying interactions between stock returns and foreign equity flows," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
- Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023.
"A Bayesian DSGE Approach to Modelling Cryptocurrency,"
Working Papers
No 09/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023. "A Bayesian DSGE Approach to Modelling Cryptocurrency"," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1012-1035, December.
- Zhifang He & Fangzhao Zhou, 2018. "Time-varying and asymmetric effects of the oil-specific demand shock on investor sentiment," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.
- Feng, Huiqun & Zhang, Jun & Guo, Na, 2023. "Time-varying linkages between energy and stock markets: Dynamic spillovers and driving factors," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Xiao, Jihong & Wen, Fenghua & He, Zhifang, 2023. "Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis," Energy, Elsevier, vol. 267(C).
- Xiao, Jihong & Liu, Hong, 2023. "The time-varying impact of uncertainty on oil market fear: Does climate policy uncertainty matter?," Resources Policy, Elsevier, vol. 82(C).
- Tian, Meiyu & Li, Wanyang & Wen, Fenghua, 2021. "The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
- Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
- Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
- Tang, Chun & Liu, Xiaoxing & Zhou, Donghai, 2022. "Financial market resilience and financial development: A global perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
- Jaromir Baxa & Jan Zacek, 2022. "Monetary Policy and the Financial Cycle: International Evidence," Working Papers 2022/4, Czech National Bank.
- Goodness C. Aye & Rangan Gupta & Mampho P. Modise, 2012.
"Do Stock Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-Varying Vector Autoregressive Model,"
Working Papers
201224, University of Pretoria, Department of Economics.
- Goodness C. Aye & Rangan Gupta & Mampho P. Modise, 2015. "Do Stock Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-varying Vector Autoregressive Model," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(2), pages 176-196, August.
- Toparlı, Elif Akay & Çatık, Abdurrahman Nazif & Balcılar, Mehmet, 2019. "The impact of oil prices on the stock returns in Turkey: A TVP-VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
- Reusens Peter & Croux Christophe, 2017. "Detecting time variation in the price puzzle: a less informative prior choice for time varying parameter VAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
- Georgiana Pleșa, 2024. "Impact of Globalization on Macroeconomic Dynamics Using a Time-varying Bayesian VAR," Prague Economic Papers, Prague University of Economics and Business, vol. 2024(4), pages 380-413.
- Sohag, Kazi & Kalina, Irina & Elsayed, Ahmed H., 2023. "Financial stress in Russia: Exploring the impact of oil market shocks," Resources Policy, Elsevier, vol. 86(PB).
- Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
- Mohamad Husam Helmi & Mohammed I. Abu Eleyan & Abdurrahman Nazif Çatık & Esra Ballı, 2023. "The Time-Varying Effects of Oil Shocks on the Trade Balance of Saudi Arabia," Resources, MDPI, vol. 12(5), pages 1-18, April.
- Joice John, 2015. "Has Inflation Persistence In India Changed Over Time?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(04), pages 1-16.
- Zehua Luan & Xiangyu Man & Xuan Zhou, 2021. "Understanding the Interaction of Chinese Fiscal and Monetary Policy," JRFM, MDPI, vol. 14(9), pages 1-13, September.
- Kansho Piotr Otsubo, 2018. "The Effects of Fiscal and Monetary Policies in Japan: What Combination of Policies Should Be Used?," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 9(01n02), pages 1-25, February.
- Liang Xie & Xianzhong Mu & Kuanyuting Lu & Dongou Hu & Guangwen Hu, 2023. "The time-varying relationship between CO2 emissions, heterogeneous energy consumption, and economic growth in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7769-7793, August.
- Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
- Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014.
"On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility,"
Energy Economics, Elsevier, vol. 45(C), pages 66-98.
- Ikram Jebabli & Mohamed Arouri & Frédéric Teulon, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVPVAR models with stochastic volatility," Working Papers 2014-209, Department of Research, Ipag Business School.
- Carrillo-Maldonado, Paul & Nikiforos, Michalis, 2024.
"Estimating a Time-Varying Distribution-Led Regime,"
Structural Change and Economic Dynamics, Elsevier, vol. 68(C), pages 163-176.
- Paul Carrillo-Maldonado & Michalis Nikiforos, 2022. "Estimating a Time-Varying Distribution-Led Regime," Economics Working Paper Archive wp_1001, Levy Economics Institute.
- Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2019.
"Restoring euro area monetary transmission: Which role for government bond rates?,"
Empirical Economics, Springer, vol. 57(3), pages 991-1021, September.
- Hristov, Nikolay & Huelsewig, Oliver & Siemsen, Thomas & Wollmershaeuser, Timo, 2019. "Restoring euro area monetary transmission: Which role for government bond rates?," Munich Reprints in Economics 78269, University of Munich, Department of Economics.
- Li, Xingyi & Gan, Kai & Zhou, Qi, 2023. "Dynamic volatility connectedness among cryptocurrencies and China's financial assets in standard times and during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 51(C).
- Kassouri, Yacouba & Kacou, Kacou Yves Thierry & Alola, Andrew Adewale, 2021. "Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives," Energy, Elsevier, vol. 232(C).
- Xu Gong & Yujing Jin & Chuanwang Sun, 2022. "Time‐varying pure contagion effect between energy and nonenergy commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1960-1986, October.
- He, Feng & Lucey, Brian & Wang, Ziwei, 2021. "Trade policy uncertainty and its impact on the stock market -evidence from China-US trade conflict," Finance Research Letters, Elsevier, vol. 40(C).
- Guangxi Cao, 2012. "Time-Varying Effects of Changes in the Interest Rate and the RMB Exchange Rate on the Stock Market of China: Evidence from the Long-Memory TVP-VAR Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 230-248, July.
- Pratha Khandelwal & Philip Nadler & Rossella Arcucci & William Knottenbelt & Yi-Ke Guo, 2021. "A Scalable Inference Method For Large Dynamic Economic Systems," Papers 2110.14346, arXiv.org.
- Sohei Kaihatsu & Shogo Nakano & Hiroki Yamamoto, 2024. "Macroeconomic Impact of Shifts in Long-term Inflation Expectations," Bank of Japan Working Paper Series 24-E-18, Bank of Japan.
- Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
- Gong, Xu & Lin, Boqiang, 2018. "Time-varying effects of oil supply and demand shocks on China's macro-economy," Energy, Elsevier, vol. 149(C), pages 424-437.
- Hiroyuki Ijiri & Yoichi Matsubayashi, 2016. "Quantitative Easing Policy, Exchange Rates and Business Activity by Industry in Japan from 2001-2006," Discussion Papers 1611, Graduate School of Economics, Kobe University.
- Coşkun Akdeniz & Abdurrahman Nazif Çatık & Esra Ballı, 2022. "Inflationary effects of oil price and exchange rate shocks in South Africa: Evidence from time‐varying pass‐through coefficients," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 301-328, September.
- Zhao, Jing, 2023. "Time-varying impact of geopolitical risk on natural resources prices: Evidence from the hybrid TVP-VAR model with large system," Resources Policy, Elsevier, vol. 82(C).
- Huang, Qian & Wang, Xiangning & Zhang, Shuguang, 2021. "The effects of exchange rate fluctuations on the stock market and the affecting mechanisms: Evidence from BRICS countries," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
- Amin Karimu & Samuel Salia & Javed J. Hussain, 2021. "The impact of refinery and oil demand shocks on the motor fuel market in Sweden," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 4862-4878, October.
- Jun Gao & Sheng Zhu, 2019. "A New Structural Analysis of Inflation and Economic Activity," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(1), pages 35-51, June.
- Wen, Fenghua & Zhao, Cong & Hu, Chunyan, 2019. "Time-varying effects of international copper price shocks on China's producer price index," Resources Policy, Elsevier, vol. 62(C), pages 507-514.
- Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta & Goodness C. Aye, 2013.
"Time-Varying Effects of Housing and Stock Prices on U.S. Consumption,"
Working papers
2013-13, University of Connecticut, Department of Economics.
- Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta & Goodness C. Aye, 2014. "Time-Varying Effects of Housing and Stock Prices on U.S. Consumption," Working Papers 1404, University of Nevada, Las Vegas , Department of Economics.
- Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta & Goodness C. Aye, 2013. "Time-Varying Effects of Housing and Stock Prices on U.S. Consumption," Working Papers 201325, University of Pretoria, Department of Economics.
- Chen, Qi-an & Li, Huashi, 2023. "How does exchange rate elasticity of aggregate consumption adjust currency risk price in the stock market?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 590-610.
- Wollmershäuser, Timo & Hristov, Nikolay & Hülsewig, Oliver & Siemsen, Thomas, 2014.
"Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB s OMT Program,"
VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy
100280, Verein für Socialpolitik / German Economic Association.
- Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2014. "Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB's OMT Program," CESifo Working Paper Series 4628, CESifo.
- Tedeschi, Marco & Foglia, Matteo & Bouri, Elie & Dai, Peng-Fei, 2024. "How does climate policy uncertainty affect financial markets? Evidence from Europe," Economics Letters, Elsevier, vol. 234(C).
- Kavtaradze, Lasha, 2014. "Inflation Dynamics in Georgia," MPRA Paper 59966, University Library of Munich, Germany.
- Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
- Baillie, Richard T. & Cho, Dooyeon, 2014. "Time variation in the standard forward premium regression: Some new models and tests," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 52-63.
- Zhao, Junming & Zhang, Tianding, 2023. "Exploring the time-varying dependence between Bitcoin and the global stock market: Evidence from a TVP-VAR approach," Finance Research Letters, Elsevier, vol. 58(PA).
- Drabik, Dusan & Ciaian, Pavel & Pokrivcak, Jan, 2014. "Biofuels and vertical price transmission: the case of the U.S. corn, ethanol and food markets," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182697, European Association of Agricultural Economists.
- Satoshi Urasawa, 2018. "Structural Change and Business Cycles in Japan: Revisiting the Stylized Facts," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 243-281, November.
- Jia, Yanjing & Dong, Zhiliang, 2024. "Characteristics and influencing factors of risk spillover effects across clean energy stock prices: A comparative analysis during four periods of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 135(C).
- Zribi, Wissal & Boufateh, Talel & Guesmi, Khaled, 2023. "Climate uncertainty effects on bitcoin ecological footprint through cryptocurrency environmental attention," Finance Research Letters, Elsevier, vol. 58(PD).
- Jérôme Creel & Paul Hubert, 2015.
"Has inflation targeting changed the conduct of monetary policy?,"
SciencePo Working papers Main
hal-03411690, HAL.
- Creel, Jérôme & Hubert, Paul, 2015. "Has Inflation Targeting Changed The Conduct Of Monetary Policy?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 1-21, January.
- Jérôme Creel & Paul Hubert, 2015. "Has inflation targeting changed the conduct of monetary policy?," Post-Print hal-03411690, HAL.
- Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015.
"Changes in inflation dynamics under inflation targeting? Evidence from Central European countries,"
Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
- Jaromir Baxa & Miroslav Plasil & Borek Vasicek, 2012. "Changes in Inflation Dynamics under Inflation Targeting? Evidence from Central European Countries," Working Papers 2012/04, Czech National Bank.
- Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
- Emanuel Kohlscheen & Jouchi Nakajima, 2019.
"Steady-state growth,"
BIS Working Papers
812, Bank for International Settlements.
- Emanuel Kohlscheen & Jouchi Nakajima, 2021. "Steady‐state growth," International Finance, Wiley Blackwell, vol. 24(1), pages 40-52, April.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019.
"Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting,"
Working Paper
2019/2, Norges Bank.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1092-1110, July.
- Babalos, Vassilios & Stavroyiannis, Stavros & Gupta, Rangan, 2015. "Do commodity investors herd? Evidence from a time-varying stochastic volatility model," Resources Policy, Elsevier, vol. 46(P2), pages 281-287.
- Iiboshi, Hirokuni & Iwata, Yasuharu & Kajita, Yuto & Soma, Naoto, 2019. "Time-varying Fiscal Multipliers Identified by Systematic Component: A Bayesian Approach to TVP-SVAR model," MPRA Paper 92631, University Library of Munich, Germany.
- Charl Jooste & Yaseen Jhaveri, 2014. "The Determinants of Time-Varying Exchange Rate Pass-Through in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 603-615, December.
- Rangan Gupta & Charl Jooste & Kanyane Matlou, 2013.
"A Time-Varying Approach to Analysing Fiscal Policy and Asset Prices in South Africa,"
Working Papers
201303, University of Pretoria, Department of Economics.
- Rangan Gupta & Charl Jooste & Kanyane Matlou, 2014. "A time-varying approach to analysing fiscal policy and asset prices in South Africa," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 6(1), pages 46-63, April.
- Jiasheng Yu & Maojun Zhang & Ruoyu Liu & Guodong Wang, 2023. "Dynamic Effects of Climate Policy Uncertainty on Green Bond Volatility: An Empirical Investigation Based on TVP-VAR Models," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
- Li, Houjian & Li, Qingman & Huang, Xinya & Guo, Lili, 2023. "Do green bonds and economic policy uncertainty matter for carbon price? New insights from a TVP-VAR framework," International Review of Financial Analysis, Elsevier, vol. 86(C).
- Zhang, Hongwei & Demirer, Riza & Huang, Jianbai & Huang, Wanjun & Tahir Suleman, Muhammad, 2021. "Economic policy uncertainty and gold return dynamics: Evidence from high-frequency data," Resources Policy, Elsevier, vol. 72(C).
- Beatrice Simo-Kengne & Stephen Miller & Rangan Gupta & Mehmet Balcilar, 2016.
"Evolution of the Monetary Transmission Mechanism in the US: the Role of Asset Returns,"
The Journal of Real Estate Finance and Economics, Springer, vol. 52(3), pages 226-243, April.
- Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta, 2014. "Evolution of the Monetary Transmission Mechanism in the US: The Role of Asset Returns," Working Papers 1405, University of Nevada, Las Vegas , Department of Economics.
- Hiroyuki Ijiri, 2017. "Transmission mechanisms in Japan’s quantitative easing policy (2001–2006)," Economics and Business Letters, Oviedo University Press, vol. 6(2), pages 35-41.
- Jansson, Walter, 2018. "Stock markets, banks and economic growth in the UK, 1850–1913," Financial History Review, Cambridge University Press, vol. 25(3), pages 263-296, December.
- Gong, Jue & Wang, Gang-Jin & Xie, Chi & Uddin, Gazi Salah, 2024. "How do market volatility and risk aversion sentiment inter-influence over time? Evidence from Chinese SSE 50 ETF options," International Review of Financial Analysis, Elsevier, vol. 95(PB).
- Bala Dahiru Abdullahi, 2016. "Time-Varying VAR with Stochastic Volatility and Monetary Policy Dynamics in Nigeria," Economics Bulletin, AccessEcon, vol. 36(4), pages 2237-2249.
- Sheng Fang & Paul Egan, 2021. "Tail dependence between oil prices and China's A‐shares: Evidence from firm‐level data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1469-1487, January.
- Masazumi Hattori & Andreas Schrimpf & Vladyslav Sushko, 2016.
"The Response of Tail Risk Perceptions to Unconventional Monetary Policy,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 8(2), pages 111-136, April.
- Masazumi Hattori & Andreas Schrimpf & Vladyslav Sushko, 2013. "The response of tail risk perceptions to unconventional monetary policy," BIS Working Papers 425, Bank for International Settlements.
- Balli, Esra & Nazif Çatık, Abdurrahman & Nugent, Jeffrey B., 2021. "Time-varying impact of oil shocks on trade balances: Evidence using the TVP-VAR model," Energy, Elsevier, vol. 217(C).
- NAKAJIMA, Jouchi, 2023. "Estimating trend inflation in a regime-switching Phillips curve," Discussion Paper Series 750, Institute of Economic Research, Hitotsubashi University.
- Alexander Zimper, 2014.
"The minimal confidence levels of Basel capital regulation,"
Journal of Banking Regulation, Palgrave Macmillan, vol. 15(2), pages 129-143, April.
- Alexander Zimper, 2013. "The minimal confidence levels of Basel capital regulation," Working Papers 201305, University of Pretoria, Department of Economics.
- Ye, Liping, 2022. "The effect of climate news risk on uncertainties," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
- Jiang, Shangrong & Li, Yuze & Lu, Quanying & Wang, Shouyang & Wei, Yunjie, 2022. "Volatility communicator or receiver? Investigating volatility spillover mechanisms among Bitcoin and other financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
- Emmanuel Owusu-Sekyere, 2016. "The impact of monetary policy on household consumption in South Africa. Evidence from Vector Autoregressive Techniques," Working Papers 598, Economic Research Southern Africa.
- Pervin, Shahida, 2018. "Dynamics and Interactions of Monetary Policy and Macroeconomic Variables: Empirical Investigation in the UK Economy with Bayesian VAR," MPRA Paper 91816, University Library of Munich, Germany.
- Gabriel Rodríguez & Carlos Guevara, 2018. "The Role of Loan Supply Shocks in Pacific Alliance Countries: A TVP-VAR-SV Approach," Documentos de Trabajo / Working Papers 2018-467, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Martin Kliem & Alexander Kriwoluzky & Samad Sarferaz, 2016.
"On the Low‐Frequency Relationship Between Public Deficits and Inflation,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 566-583, April.
- Kriwoluzky, Alexander & Kliem, Martin & Sarferaz, Samad, 2013. "On the low-frequency relationship between public deficits and inflation," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80000, Verein für Socialpolitik / German Economic Association.
- Kliem, Martin & Kriwoluzky, Alexander & Sarferaz, Samad, 2013. "On the low-frequency relationship between public deficits and inflation," Discussion Papers 12/2013, Deutsche Bundesbank.
- Kavanagh, Ella & Zhu, Sheng & O’Sullivan, Niall, 2022. "Monetary policy, trade-offs and the transmission of UK Monetary Policy," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1128-1147.
- Beirne, John & Renzhi, Nuobu & Panthi, Pradeep, 2024. "Exchange rate pass-through in emerging Asia and exposure to external shocks," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1608-1624.
- Peter Knaus & Angela Bitto-Nemling & Annalisa Cadonna & Sylvia Fruhwirth-Schnatter, 2019. "Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP," Papers 1907.07065, arXiv.org, revised Nov 2020.
- Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
- Chenrui Zhang & Xinyi Wu & Hailu Deng & Huiwei Zhang, 2022. "A time-varying study of Chinese investor sentiment, stock market liquidity and volatility: Based on deep learning BERT model and TVP-VAR model," Papers 2205.05719, arXiv.org, revised May 2022.
- D.O. Olayungbo & A.E. Akinlo, 2016. "Insurance penetration and economic growth in Africa: Dynamic effects analysis using Bayesian TVP-VAR approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1150390-115, December.
- Chen, Qi-An & Li, Huashi & Lin, Jianyi & Yan, Youliang, 2023. "Asset pricing with two types of heterogeneous consumption volatilities in mind: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
- Mezghani, Imed & Ben Haddad, Hedi, 2017. "Energy consumption and economic growth: An empirical study of the electricity consumption in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 145-156.
- Banerjee, A. & Malik, S., 2012. "The changing role of expectations in US monetary policy: A new look using the Livingston Survey," Working papers 376, Banque de France.
- Yao, Wei & Alexiou, Constantinos, 2024. "On the transmission mechanism between the inventory arbitrage activity, speculative activity and the commodity price under the US QE policy: Evidence from a TVP-VAR model," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1054-1072.
- Eddie Gerba & Klemens Hauzenberger, 2013. "Estimating US Fiscal and Monetary Interactions in a Time Varying VAR," Studies in Economics 1303, School of Economics, University of Kent.
- Tang, Chun & Yang, Guangyi & Liu, Xiaoxing, 2024. "Risk spillover within the carbon-energy system – New evidence considering China's national carbon market," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1227-1240.
- Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
- Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2020. "The effects of geopolitical risks on the stock dynamics of China's rare metals: A TVP-VAR analysis," Resources Policy, Elsevier, vol. 68(C).
- Yuee Li & Jingdong Li, 2021. "How Does China’s Economic Policy Uncertainty Affect the Sustainability of Its Net Grain Imports?," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
- Kimura Takeshi & Nakajima Jouchi, 2016.
"Identifying conventional and unconventional monetary policy shocks: a latent threshold approach,"
The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 277-300, January.
- Takeshi Kimura & Jouchi Nakajima, 2013. "Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach," Bank of Japan Working Paper Series 13-E-7, Bank of Japan.
- Foglia, Matteo & Palomba, Giulio & Tedeschi, Marco, 2023. "Disentangling the geopolitical risk and its effects on commodities. Evidence from a panel of G8 countries," Resources Policy, Elsevier, vol. 85(PB).
- Ryou, Jai Won & Baak, Saang Joon & Kim, Won Joong, 2019. "Effects of Japanese quantitative easing policy on the economies of Japan and Korea," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 241-252.
- Jong-Min Kim & Hojin Jung & Li Qin, 2016. "Linear time-varying regression with a DCC-GARCH model for volatility," Applied Economics, Taylor & Francis Journals, vol. 48(17), pages 1573-1582, April.
- Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
- Boufateh, Talel & Saadaoui, Zied, 2021. "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 102(C).
- Dorra Zouari & Achraf Ghorbel & Sonia Ghorbel-Zouari & Younes Boujelbène, 2014. "Volatility spillovers and dynamic correlation between liquidity risk factors in Tunisian banks," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 6(1), pages 1-26.
- Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
- Ge, Futing & Zhang, Weiguo, 2022. "The determinants of cross-border bond risk premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
- Chen, Yunping & Chen, Huanhuan & Li, Guorong & Jiao, Dongdan & Xu, Xiangyun, 2021. "Time-varying effect of macro-prudential policies on household credit growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 241-254.
- Jaromir Baxa & Miroslav Plasil & Borek Vasicek, 2013.
"Inflation and the Steeplechase Between Economic Activity Variables,"
Working Papers
2013/15, Czech National Bank.
- Baxa Jaromír & Plašil Miroslav & Vašíček Bořek, 2017. "Inflation and the steeplechase between economic activity variables: evidence for G7 countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-42, January.
- Liu, Rongyan & He, Lingyun & Xia, Yufei & Fu, Yating & Chen, Ling, 2023. "Research on the time-varying effects among green finance markets in China: A fresh evidence from multi-frequency scale perspective," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
- Jouchi Nakajima, 2020. "Discussion of “Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions”," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 33-36, February.
- Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta, 2013.
"Evolution of Monetary Policy in the US: The Role of Asset Prices,"
Working papers
2013-20, University of Connecticut, Department of Economics, revised Dec 2013.
- Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta, 2013. "Evolution of Monetary Policy in the US: The Role of Asset Prices," Working Papers 201343, University of Pretoria, Department of Economics.
- Wang, Hao & Xu, Ning & Yin, Haiyan & Ji, Hao, 2022. "The dynamic impact of monetary policy on financial stability in China after crises," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
- Wu, Ruirui & Qin, Zhongfeng, 2024. "Asymmetric volatility spillovers among new energy, ESG, green bond and carbon markets," Energy, Elsevier, vol. 292(C).
- Junli Cheng & Feng Lin, 2022. "The Dynamic Effects of Urban–Rural Income Inequality on Sustainable Economic Growth under Urbanization and Monetary Policy in China," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
- Shikha Gupta & Nand Kumar, 2023. "Time varying dynamics of globalization effect in India," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(1), pages 81-97, January.
- Amine Ben Amar, 2019. "The Effectiveness of Monetary Policy Transmission in a Dual Banking System: Further Insights from TVP-VAR Model," Economics Bulletin, AccessEcon, vol. 39(4), pages 2317-2332.
- Deng, Chuang & Zhao, Xiuyi & Xu, Man, 2022. "Financial cycle and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 47(PA).
- Sohei Kaihatsu & Jouchi Nakajima, 2015. "Has Trend Inflation Shifted?: An Empirical Analysis with a Regime-Switching Model," Bank of Japan Working Paper Series 15-E-3, Bank of Japan.
- Toshitaka Sekine & Frank Packer & Shunichi Yoneyama, 2022.
"Individual Trend Inflation,"
Working Papers on Central Bank Communication
042, University of Tokyo, Graduate School of Economics.
- Toshitaka Sekine & Frank Packer & Shunichi Yoneyama, 2022. "Individual Trend Inflation," IMES Discussion Paper Series 22-E-14, Institute for Monetary and Economic Studies, Bank of Japan.
- William Gatt, 2016. "Time variation, asymmetry and threshold effect in Malta's Phillips curve," CBM Working Papers WP/02/2016, Central Bank of Malta.
- Beatrice Simo-Kengne & Stephen Miller & Rangan Gupta & Goodness Aye, 2015. "Time-Varying Effects of Housing and Stock Returns on U.S. Consumption," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 339-354, April.
- Guglielmo Maria Caporale & Abdurrahman Nazif Çatık & Mohamad Husam Helmi & Coşkun Akdeniz & Ali İlhan, 2024. "Time-varying effects of the COVID-19 pandemic on stock markets and economic activity: evidence from the US and Europe," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(2), pages 529-558, May.
- Cao, Guangxi & Xie, Wenhao, 2022. "Asymmetric dynamic spillover effect between cryptocurrency and China's financial market: Evidence from TVP-VAR based connectedness approach," Finance Research Letters, Elsevier, vol. 49(C).
- Yang, Cai & Zhang, Hongwei & Qin, Yun & Niu, Zibo, 2024. "Partisan conflict, trade policy uncertainty, and the energy market," Research in International Business and Finance, Elsevier, vol. 71(C).
- Wang, Yizhi, 2022. "Volatility spillovers across NFTs news attention and financial markets," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Lu Liu & En-Ze Wang & Chien-Chiang Lee, 2021. "Impact of the COVID-19 Pandemic on the Crude Oil and Stock Markets in the US - A Time-Varying Analysis," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-4.
- Sun, Chuanwang & Min, Jialin & Sun, Jiacheng & Gong, Xu, 2023. "The role of China's crude oil futures in world oil futures market and China's financial market," Energy Economics, Elsevier, vol. 120(C).
- Zargar, Faisal Nazir & Mohnot, Rajesh & Hamouda, Foued & Arfaoui, Nadia, 2024. "Risk dynamics in energy transition: Evaluating downside risks and interconnectedness in fossil fuel and renewable energy markets," Resources Policy, Elsevier, vol. 92(C).
- Kai Dong & Ching-Ter Chang & Shaonan Wang & Xiaoxi Liu, 2021. "The Dynamic Correlation among Financial Leverage, House Price, and Consumer Expenditure in China," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
- Huang, Jianbai & Dong, Xuesong & Chen, Jinyu & Zhong, Meirui, 2022. "Do oil prices and economic policy uncertainty matter for precious metal returns? New insights from a TVP-VAR framework," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 433-445.
- Guo, Yaoqi & Shi, Fengyuan & Lin, Boqiang & Zhang, Hongwei, 2023. "The impact of oil shocks from different sources on China's clean energy metal stocks: An analysis of spillover effects based on a time-varying perspective," Resources Policy, Elsevier, vol. 81(C).
- Song, Yuegang & Zhang, Xiaoyu & Hu, Guoheng, 2023. "Relationships among geopolitical risk, trade policy uncertainty, and crude oil import prices: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
- Gong, Xu & Shi, Rong & Xu, Jun & Lin, Boqiang, 2021. "Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective," Applied Energy, Elsevier, vol. 285(C).
- Shuai Liu & Dingyu Liu & Sibo Ge, 2024. "Impact of external shocks on international corn price fluctuations," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(1), pages 1-11.
- André, Christophe & Gabauer, David & Gupta, Rangan, 2021. "Time-varying spillovers between housing sentiment and housing market in the United States☆," Finance Research Letters, Elsevier, vol. 42(C).
- Michal Franta, 2011. "Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework," IMES Discussion Paper Series 11-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
- Pakrooh, Parisa & Manera, Matteo, 2024.
"Causality, Connectedness, and Volatility Pass-through among Energy-Metal-Stock-Carbon Markets: New Evidence from the EU,"
FEEM Working Papers
344790, Fondazione Eni Enrico Mattei (FEEM).
- Parisa Pakrooh & Matteo Manera, 2024. "Causality, Connectedness, and Volatility Pass-through among Energy-Metal-Stock-Carbon Markets: New Evidence from the EU," Working Papers 2024.22, Fondazione Eni Enrico Mattei.
- Mehmet Balcilar & Evrim Toren, 2021. "The Time-Varying Effect of Asset Prices on Turkey’s Circular Economy," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
- Ya-Ling Lin & Wen-Yi Chen & Shwn-Huey Shieh, 2020. "Age Structural Transitions and Copayment Policy Effectiveness: Evidence from Taiwan’s National Health Insurance System," IJERPH, MDPI, vol. 17(12), pages 1-17, June.
- Rozina Shaheen, 2019. "Impact of Fiscal Policy on Consumption and Labor Supply under a Time-Varying Structural VAR Model," Economies, MDPI, vol. 7(2), pages 1-15, June.
- Shikha Gupta & Nand Kumar, 2021. "Dynamics of globalization effect in India," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1394-1406, September.
- Thomas A. Lubik & Christian Matthes, 2015. "Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 323-352.
- Evrim Mandaci, Pinar & Cagli, Efe Caglar, 2022. "Herding intensity and volatility in cryptocurrency markets during the COVID-19," Finance Research Letters, Elsevier, vol. 46(PB).
- Wen-Yi Chen, 2017. "Demographic structure and monetary policy effectiveness: evidence from Taiwan," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2521-2544, November.
- Owen Grech & Noel Rapa, 2016. "STREAM: A structural macro-econometric model of the Maltese economy," CBM Working Papers WP/01/2016, Central Bank of Malta.
- Lai, Hung-Cheng & Wang, Kuan-Min, 2014. "Relationship between the trading behavior of three institutional investors and Taiwan Stock Index futures returns," Economic Modelling, Elsevier, vol. 41(C), pages 156-165.
- Niall O’Sullivan & Sheng Zhu & Jason Foran, 2019. "Sentiment versus liquidity pricing effects in the cross-section of UK stock returns," Journal of Asset Management, Palgrave Macmillan, vol. 20(4), pages 317-329, July.
- Kuan-Min Wang & Thanh-Binh Nguyen Thi & Yuan-Ming Lee, 2021. "Is gold a safe haven for the dynamic risk of foreign exchange?," Future Business Journal, Springer, vol. 7(1), pages 1-17, December.
- Capasso Salvatore & Oreste Napolitano & Ana Laura Vivero, 2023. "The Financial Conditions Index as an additional tool for policymakers in developing countries: the Mexican case," CSEF Working Papers 664, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Mohamad, Azhar, 2022. "Safe flight to which haven when Russia invades Ukraine? A 48-hour story," Economics Letters, Elsevier, vol. 216(C).
- Rubbaniy, Ghulame & Polyzos, Stathis & Rizvi, Syed Kumail Abbas & Tessema, Abiot, 2021. "COVID-19, Lockdowns and herding towards a cryptocurrency market-specific implied volatility index," Economics Letters, Elsevier, vol. 207(C).
- Athambawa Jahfer & Abdul Hameed Mulafara, 2016. "Dividend policy and share price volatility: evidence from Colombo stock market," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 8(2), pages 97-108.
- Ramazan EKİNCİ & Osman TÜZÜN & Fatih CEYLAN & Hakan KAHYAOĞLU, 2017. "Dışa Açıklık ile İşsizlik Arasındaki İlişki: Seçilmiş AB Ülkeleri ve Türkiye Üzerine Zamana Göre Değişen Parametreli Bir Analiz Algıları," Sosyoekonomi Journal, Sosyoekonomi Society, issue 25(31).
- Guevara, Carlos & Rodríguez, Gabriel, 2020. "The role of credit supply shocks in pacific alliance countries: A TVP-VAR-SV approach," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
- Etsuro Shioji, 2015. "Time varying pass-through: Will the yen depreciation help Japan hit the inflation," Working Papers e092, Tokyo Center for Economic Research.
- Hwang, So Jung & Suh, Hyunduk, 2021. "Overall and time-varying effects of global and domestic uncertainty on the Korean economy," Journal of Asian Economics, Elsevier, vol. 76(C).
- Yingman Wang & Yubin Huangfu, 2024. "The Impact of Pig Futures on the Price Transmission in the Pig Industry Chain during Market Shocks," Agriculture, MDPI, vol. 14(8), pages 1-18, August.
- Jushuang Qin & Menglu Ma & Jiabin Shi & Shurui Ma & Baoguo Wu & Xiaohui Su, 2023. "The Time-Lag Effect of Climate Factors on the Forest Enhanced Vegetation Index for Subtropical Humid Areas in China," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
- Gong, Xu & Jin, Yujing & Liu, Tangyong, 2023. "Analyzing pure contagion between crude oil and agricultural futures markets," Energy, Elsevier, vol. 269(C).
- Jouchi Nakajima, 2011.
"Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach,"
IMES Discussion Paper Series
11-E-08, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
Cited by:
- IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023.
"The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter,"
MPRA Paper
116355, University Library of Munich, Germany.
- Yasuharu Iwata & Hirokuni IIboshi, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 830-858, August.
- IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116310, University Library of Munich, Germany.
- Jouchi Nakajima, 2011.
"Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
- Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011.
"Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy,"
Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd09-072, Institute of Economic Research, Hitotsubashi University.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," IMES Discussion Paper Series 09-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
- Henrike Michaelis & Sebastian Watzka, 2014.
"Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?,"
CESifo Working Paper Series
4901, CESifo.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Munich Reprints in Economics 55051, University of Munich, Department of Economics.
- Wang, Kuan-Min & Lee, Yuan-Ming, 2022. "Is gold a safe haven for exchange rate risks? An empirical study of major currency countries," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
- Yoshino, Naoyuki & Taghizadeh–Hesary, Farhad & Miyamoto, Hiroaki, 2017.
"The Effectiveness of Japan’s Negative Interest Rate Policy,"
ADBI Working Papers
652, Asian Development Bank Institute.
- Naoyuki Yoshino & Farhad Taghizadeh-Hesary & Hiroaki Miyamoto, 2017. "The Ineffectiveness of Japan’s Negative Interest Rate Policy," ADB Institute Series on Development Economics, in: Naoyuki Yoshino & Farhad Taghizadeh-Hesary (ed.), Japan’s Lost Decade, chapter 0, pages 147-168, Springer.
- Yoshino, Naoyuki Yoshino & Hesary, Farhad Taghizadeh & Miyamoto, Hiroaki Miyamoto, 2018. "The effectiveness of Japan's Negative Interest rate policy," MPRA Paper 88084, University Library of Munich, Germany, revised 03 May 2018.
- Morita, Hiroshi, 2020. "Empirical Analysis on the Effects of Japanese Fiscal Policy under the Effective Lower Bound," Discussion paper series HIAS-E-97, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Davide Debortoli & Ricardo Nunes, 2014. "Monetary Regime Switches and Central Bank Preferences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(8), pages 1591-1626, December.
- Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
- Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
- Kuan-Min Wang & Yuan-Ming Lee, 2023. "Are life insurance futures a safe haven during COVID-19?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
- Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
- Gong, Xu & Lin, Boqiang, 2018. "Time-varying effects of oil supply and demand shocks on China's macro-economy," Energy, Elsevier, vol. 149(C), pages 424-437.
- Philip Liu & Konstantinos Theodoridis & Haroon Mumtaz & Francesco Zanetti, 2019.
"Changing Macroeconomic Dynamics at the Zero Lower Bound,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 391-404, July.
- Francesco Zanetti & Philip Liu & Haroon Mumtaz and Konstantinos Theodoridis, 2017. "Changing Macroeconomic Dynamics at the Zero Lower Bound," Economics Series Working Papers 824, University of Oxford, Department of Economics.
- Jun Gao & Sheng Zhu, 2019. "A New Structural Analysis of Inflation and Economic Activity," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(1), pages 35-51, June.
- Michal Bencik, 2017. "Do Fiscal Multipliers Vary with Different Character of Monetary-Fiscal Interactions?," Working and Discussion Papers WP 11/2017, Research Department, National Bank of Slovakia.
- Jhonatan Portilla & Gabriel Rodríguez & Paul Castillo B., 2022.
"Evolution of Monetary Policy in Peru: An Empirical Application Using a Mixture Innovation TVP-VAR-SV Model [Metas de Inflación en Una Economía Dolarizada: La Experencia Del Perú],"
CESifo Economic Studies, CESifo Group, vol. 68(1), pages 98-126.
- Jhonatan Portilla Goicochea & Gabriel Rodríguez, 2020. "Evolution of Monetary Policy in Peru: An Empirical Application using a Mixture Innovation TVP-VAR-SV Model," Documentos de Trabajo / Working Papers 2020-485, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Yoshiyuki Nakazono & Satoshi Ikeda, 2016. "Stock Market Responses Under Quantitative Easing: State Dependence and Transparency in Monetary Policy," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 560-580, December.
- Mr. Ugo Fasano-Filho & Mr. Qing Wang & Pelin Berkmen, 2012. "Bank of Japan's Quantitative and Credit Easing: Are they Now More Effective," IMF Working Papers 2012/002, International Monetary Fund.
- Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
- Kavanagh, Ella & Zhu, Sheng & O’Sullivan, Niall, 2022. "Monetary policy, trade-offs and the transmission of UK Monetary Policy," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1128-1147.
- IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116347, University Library of Munich, Germany.
- Benjamin K. Johannsen & Elmar Mertens, 2016.
"A Time Series Model of Interest Rates With the Effective Lower Bound,"
Finance and Economics Discussion Series
2016-033, Board of Governors of the Federal Reserve System (U.S.).
- Benjamin K Johannsen & Elmar Mertens, 2018. "A time series model of interest rates with the effective lower bound," BIS Working Papers 715, Bank for International Settlements.
- Benjamin K. Johannsen & Elmar Mertens, 2021. "A Time‐Series Model of Interest Rates with the Effective Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(5), pages 1005-1046, August.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Forecasting with Shadow-Rate VARs," Working Papers 21-09, Federal Reserve Bank of Cleveland.
- Bäurle Gregor & Kaufmann Daniel & Kaufmann Sylvia & Strachan Rodney, 2020. "Constrained interest rates and changing dynamics at the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-26, April.
- Michal Franta, 2011. "Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework," IMES Discussion Paper Series 11-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
- Iwata, Yasuharu & Iiboshi, Hirokuni, 2020. "Fiscal Adjustments and Debt-Dependent Multipliers: Evidence from the U.S. Time Series," Discussion paper series HIAS-E-103, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Helmi, Mohamad Husam & Çatık, Abdurrahman Nazif & Akdeniz, Coşkun, 2023. "The impact of central bank digital currency news on the stock and cryptocurrency markets: Evidence from the TVP-VAR model," Research in International Business and Finance, Elsevier, vol. 65(C).
- Benjamin Garcia & Arsenios Skaperdas, 2017. "Inferring the Shadow Rate from Real Activity," Finance and Economics Discussion Series 2017-106, Board of Governors of the Federal Reserve System (U.S.).
- Gregor Bäurle & Daniel Kaufmann, 2018. "Measuring Exchange Rate, Price, and Output Dynamics at the Effective Lower Bound," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1243-1266, December.
- Jouchi Nakajima & Toshiaki Watanabe, 2011.
"Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model with the Ordering of Variables for the Japanese Economy and Monetary Policy,"
Global COE Hi-Stat Discussion Paper Series
gd11-196, Institute of Economic Research, Hitotsubashi University.
Cited by:
- Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
- Liu, Dayu & Xu, Ning & Zhao, Tingting & Song, Yang, 2018. "Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 73(C), pages 45-54.
- Haque, Qazi & Magnusson, Leandro M., 2021.
"Uncertainty shocks and inflation dynamics in the U.S,"
Economics Letters, Elsevier, vol. 202(C).
- Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the U.S," Economics Discussion / Working Papers 20-25, The University of Western Australia, Department of Economics.
- Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the US," CAMA Working Papers 2020-100, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Jin‐Yu Chen & Xue‐Hong Zhu & Mei‐Rui Zhong, 2021. "Time‐varying effects and structural change of oil price shocks on industrial output: Evidence from China's oil industrial chain," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3460-3472, July.
- Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019.
"Empirical evidence on the dynamics of investment under uncertainty in the U.S,"
Economics Discussion / Working Papers
19-18, The University of Western Australia, Department of Economics.
- Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2021. "Empirical Evidence on the Dynamics of Investment Under Uncertainty in the U.S," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1193-1217, October.
- Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019. "Empirical evidence on the dynamics of investment under uncertainty in the US," CAMA Working Papers 2019-87, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
- Arratibel, Olga & Michaelis, Henrike, 2013.
"The Impact of Monetary Policy and Exchange Rate Shocks in Poland: Evidence from a Time-Varying VAR,"
Discussion Papers in Economics
21088, University of Munich, Department of Economics.
- Arratibel, Olga & Michaelis, Henrike, 2014. "The impact of monetary policy and exchange rate shocks in Poland: evidence from a time-varying VAR," Working Paper Series 1636, European Central Bank.
- IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023.
"The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter,"
MPRA Paper
116355, University Library of Munich, Germany.
- Yasuharu Iwata & Hirokuni IIboshi, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 830-858, August.
- IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116310, University Library of Munich, Germany.
- Cai, Yifei, 2016. "短期资本流动、经济政策不确定性与恐慌指数—基于时变分析框架下的研究 [Short-term Capital Flow, Economic Policy Uncertainty and VIX—Evidence from a Time-varying Analysis Framework]," MPRA Paper 73213, University Library of Munich, Germany.
- Zhao, Lili & Liu, Wenhua & Zhou, Min & Wen, Fenghua, 2022. "Extreme event shocks and dynamic volatility interactions: The stock, commodity, and carbon markets in China," Finance Research Letters, Elsevier, vol. 47(PA).
- Michaelis, Henrike, 2024. "Changes in the euro area interest rate pass-through," Discussion Papers 21/2024, Deutsche Bundesbank.
- Martin Feldkircher & Kazuhiko Kakamu, 2018.
"How does monetary policy affect income inequality in Japan? Evidence from grouped data,"
Papers
1803.08868, arXiv.org, revised Jul 2021.
- Feldkircher, Martin & Kakamu, Kazuhiko, 2018. "How does monetary policy affect income inequality in Japan? Evidence from grouped data," Working Papers in Regional Science 2018/03, WU Vienna University of Economics and Business.
- Martin Feldkircher & Kazuhiko Kakamu, 2022. "How does monetary policy affect income inequality in Japan? Evidence from grouped data," Empirical Economics, Springer, vol. 62(5), pages 2307-2327, May.
- Henrike Michaelis & Sebastian Watzka, 2014.
"Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?,"
CESifo Working Paper Series
4901, CESifo.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Munich Reprints in Economics 55051, University of Munich, Department of Economics.
- Su, Chi-Wei & Yang, Shengjie & Qin, Meng & Lobonţ, Oana-Ramona, 2023. "Gold vs bitcoin: Who can resist panic in the U.S.?," Resources Policy, Elsevier, vol. 85(PA).
- Joseph P Byrne & Ryuta Sakemoto & Bing Xu, 2020.
"Commodity price co-movement: heterogeneity and the time-varying impact of fundamentals [Oil price shocks and the stock market: evidence from Japan],"
European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 499-528.
- Byrne, Joseph P & Sakemoto, Ryuta & Xu, Bing, 2017. "Commodity Price Co-movement: Heterogeneity and the Time Varying Impact of Fundamentals," MPRA Paper 80791, University Library of Munich, Germany.
- Jamshaid ur Rehman & Khalil Ahmad & Jawaria Arif, 2022. "Transmission Mechanism of Monetary Policy in BRICS Countries: A Comparative Response with the USA," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 23-34, December.
- Bariş Gök & Abdurrahman Nazif Çatik, 2016. "Is There Any Time-Varying Relationship between Fiscal and Trade Deficits in Turkey?," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 607-616.
- Jouchi Nakajima, 2011.
"Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach,"
IMES Discussion Paper Series
11-E-08, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
- Zhaosu MENG & Wei WEI & Xiaotong LIU & Kedong YIN, 2018. "The Influence of International Capital Flow on the Effectiveness of Chinese Monetary Policy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 21-40, December.
- Dahem, Ahlem & Skander, Slim & Fatma, Siala Guermazi, 2017. "Time Varying VAR Analysis for Disaggregated Exchange Rate Pass-through in Tunisia," MPRA Paper 79759, University Library of Munich, Germany, revised 2017.
- Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
- Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018.
"Oil price shocks and uncertainty: How stable is their relationship over time?,"
Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
- Stavros Degiannakis & George Filis & Sofia Panagiotakopoulou, 2018. "Oil Price Shocks and Uncertainty: How stable is their relationship over time?," BAFES Working Papers BAFES13, Department of Accounting, Finance & Economic, Bournemouth University.
- Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil Price Shocks and Uncertainty: How stable is their relationship over time?," MPRA Paper 96271, University Library of Munich, Germany.
- Yang, Tianle & Zhou, Fangxing & Du, Min & Du, Qunyang & Zhou, Shirong, 2023. "Fluctuation in the global oil market, stock market volatility, and economic policy uncertainty: A study of the US and China," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 377-387.
- Wang, Yonglian & Wang, Lijun & Pan, Changchun & Hong, Songzhi, 2022. "Economic policy uncertainty and price pass-through effect of exchange rate in China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
- Guglielmo Maria Caporale & Abdurrahman Nazif Catik & Mohamad Husam Helmi & Coskun Akdeniz & Ali Ilhan, 2021. "The Effects of the Covid-19 Pandemic on Stock Markets, CDS and Economic Activity: Time-Varying Evidence from the US and Europe," CESifo Working Paper Series 9316, CESifo.
- Morita, Hiroshi, 2020. "Empirical Analysis on the Effects of Japanese Fiscal Policy under the Effective Lower Bound," Discussion paper series HIAS-E-97, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Hartwig, Benny, 2020.
"Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model,"
VfS Annual Conference 2020 (Virtual Conference): Gender Economics
224528, Verein für Socialpolitik / German Economic Association.
- Hartwig, Benny, 2020. "Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model," Discussion Papers 34/2020, Deutsche Bundesbank.
- Fumio Hayashi & Junko Koeda, 2013. "A Regime-Switching SVAR Analysis of Quantitative Easing," CARF F-Series CARF-F-322, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Masahiko Shibamoto, 2016.
"Source of Underestimation of the Monetary Policy Effect: Re-Examination of the Policy Effectiveness in Japan's 1990s,"
Manchester School, University of Manchester, vol. 84(6), pages 795-810, December.
- Masahiko Shibamoto, 2014. "Source of Underestimation of the Monetary Policy Effect: Re-examination of the Policy Effectiveness in Japan's 1990s," Discussion Paper Series DP2014-10, Research Institute for Economics & Business Administration, Kobe University.
- Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
- Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2017. "Bayesian semiparametric multivariate stochastic volatility with an application to international stock-market co-movements," CQE Working Papers 6217, Center for Quantitative Economics (CQE), University of Muenster.
- Toparlı, Elif Akay & Çatık, Abdurrahman Nazif & Balcılar, Mehmet, 2019. "The impact of oil prices on the stock returns in Turkey: A TVP-VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
- Zhu, Xuehong & Liao, Jianhui & Chen, Ying, 2021. "Time-varying effects of oil price shocks and economic policy uncertainty on the nonferrous metals industry: From the perspective of industrial security," Energy Economics, Elsevier, vol. 97(C).
- Sohag, Kazi & Kalina, Irina & Elsayed, Ahmed H., 2023. "Financial stress in Russia: Exploring the impact of oil market shocks," Resources Policy, Elsevier, vol. 86(PB).
- Yoshihiro Ohtsuka, 2018. "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 143-178, April.
- Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
- Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
- Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014.
"On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility,"
Energy Economics, Elsevier, vol. 45(C), pages 66-98.
- Ikram Jebabli & Mohamed Arouri & Frédéric Teulon, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVPVAR models with stochastic volatility," Working Papers 2014-209, Department of Research, Ipag Business School.
- Kassouri, Yacouba & Kacou, Kacou Yves Thierry & Alola, Andrew Adewale, 2021. "Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives," Energy, Elsevier, vol. 232(C).
- Lokendra Kumawat, 2024. "Time-variation in response of inflation to monetary policy shocks in India: evidence from TVP-VAR models," Indian Economic Review, Springer, vol. 59(1), pages 233-248, June.
- Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
- Hiroyuki Ijiri & Yoichi Matsubayashi, 2016. "Quantitative Easing Policy, Exchange Rates and Business Activity by Industry in Japan from 2001-2006," Discussion Papers 1611, Graduate School of Economics, Kobe University.
- Huang, Qian & Wang, Xiangning & Zhang, Shuguang, 2021. "The effects of exchange rate fluctuations on the stock market and the affecting mechanisms: Evidence from BRICS countries," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
- Hanisch, Max, 2017. "The effectiveness of conventional and unconventional monetary policy: Evidence from a structural dynamic factor model for Japan," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 110-134.
- Joseph P. Byrne & Marco Lorusso & Bing Xu, 2017.
"Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations,"
CEERP Working Paper Series
006, Centre for Energy Economics Research and Policy, Heriot-Watt University.
- Byrne, Joseph P & Lorusso, Marco & Xu, Bing, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," MPRA Paper 80668, University Library of Munich, Germany.
- Zareifard, Hamid & Rue, Håvard & Khaledi, Majid Jafari & Lindgren, Finn, 2016. "A skew Gaussian decomposable graphical model," Journal of Multivariate Analysis, Elsevier, vol. 145(C), pages 58-72.
- Mohsen Khezri & Seyed Ehsan Hosseinidoust & Mohammad Kazem Naziri, 2019. "Investigating the Temporary and Permanent Influential Variables on Iran Inflation Using TVP-DMA Models," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 23(1), pages 209-234, Winter.
- Tsai, I-Chun & Chen, Han-Bo & Lin, Che-Chun, 2024. "The ability of energy commodities to hedge the dynamic risk of epidemic black swans," Resources Policy, Elsevier, vol. 89(C).
- Yoshiyuki Nakazono & Satoshi Ikeda, 2016. "Stock Market Responses Under Quantitative Easing: State Dependence and Transparency in Monetary Policy," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 560-580, December.
- Iiboshi, Hirokuni & Iwata, Yasuharu & Kajita, Yuto & Soma, Naoto, 2019. "Time-varying Fiscal Multipliers Identified by Systematic Component: A Bayesian Approach to TVP-SVAR model," MPRA Paper 92631, University Library of Munich, Germany.
- Aubrey Poon, 2018. "The transmission mechanism of Malaysian monetary policy: a time-varying vector autoregression approach," Empirical Economics, Springer, vol. 55(2), pages 417-444, September.
- Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).
- Choi, Sangyup, 2017. "Variability in the effects of uncertainty shocks: New stylized facts from OECD countries," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 127-144.
- Lin, Jie & Xiao, Hao & Chai, Jian, 2023. "Dynamic effects and driving intermediations of oil price shocks on major economies," Energy Economics, Elsevier, vol. 124(C).
- Jouchi Nakajima, 2017. "Bayesian analysis of multivariate stochastic volatility with skew return distribution," Econometric Reviews, Taylor & Francis Journals, vol. 36(5), pages 546-562, May.
- Zhong, Yufei & Chen, Xuesheng & Wang, Chengfang & Wang, Zhixian & Zhang, Yuchen, 2023. "The hedging performance of green bond markets in China and the U.S.: Novel evidence from cryptocurrency uncertainty," Energy Economics, Elsevier, vol. 128(C).
- Bala Dahiru Abdullahi, 2016. "Time-Varying VAR with Stochastic Volatility and Monetary Policy Dynamics in Nigeria," Economics Bulletin, AccessEcon, vol. 36(4), pages 2237-2249.
- Fumio Hayashi & Junko Koeda, 2014. "Exiting from QE," NBER Working Papers 19938, National Bureau of Economic Research, Inc.
- Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
- Kavanagh, Ella & Zhu, Sheng & O’Sullivan, Niall, 2022. "Monetary policy, trade-offs and the transmission of UK Monetary Policy," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1128-1147.
- Li, Jiazheng & Wang, Tingwei & Su, Zhifang, 2024. "Optimal monetary policy under digital technology shock," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
- IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116347, University Library of Munich, Germany.
- Saadaoui, Zied & BOUFATEH, Talel & JIAO, Zhilun, 2023. "On the transmission of oil supply and demand shocks to CO2 emissions in the US by considering uncertainty: A time-varying perspective," Resources Policy, Elsevier, vol. 85(PB).
- Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
- He, Yongda & Lin, Boqiang, 2018. "Time-varying effects of cyclical fluctuations in China's energy industry on the macro economy and carbon emissions," Energy, Elsevier, vol. 155(C), pages 1102-1112.
- Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
- Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
- Morita, Hiroshi, 2015. "State-dependent effects of fiscal policy in Japan: Do rule-of-thumb households increase the effects of fiscal policy?," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 49-61.
- Liang, Ruibin & Cheng, Sheng & Cao, Yan & Li, Xinran, 2024. "Multi-scale impacts of oil shocks on travel and leisure stocks: A MODWT-Bayesian TVP model with shrinkage approach," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
- Boufateh, Talel & Saadaoui, Zied, 2021. "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 102(C).
- Chen, Yunping & Chen, Huanhuan & Li, Guorong & Jiao, Dongdan & Xu, Xiangyun, 2021. "Time-varying effect of macro-prudential policies on household credit growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 241-254.
- Ko, Jun-Hyung & Morita, Hiroshi, 2015. "Fiscal sustainability and regime shifts in Japan," Economic Modelling, Elsevier, vol. 46(C), pages 364-375.
- Hu, Guoheng & Liu, Shan & Wu, Guo & Hu, Peng & Li, Ruiqi & Chen, Liujie, 2023. "Economic policy uncertainty, geopolitical risks, and the heterogeneity of commodity price fluctuations in China ——an empirical study based on TVP-SV-VAR model," Resources Policy, Elsevier, vol. 85(PA).
- Junko Koeda, 2018.
"Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures,"
IMES Discussion Paper Series
18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
- Koeda, Junko, 2019. "Macroeconomic effects of quantitative and qualitative monetary easing measures," Journal of the Japanese and International Economies, Elsevier, vol. 52(C), pages 121-141.
- Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
- Wei, Jiangqiao & Ma, Zhe & Wang, Anjian & Li, Pengyuan & Sun, Xiaoyan & Yuan, Xiaojing & Hao, Hongchang & Jia, Hongxiang, 2022. "Multiscale nonlinear Granger causality and time-varying effect analysis of the relationship between iron ore futures and spot prices," Resources Policy, Elsevier, vol. 77(C).
- Su, Chi-Wei & Qin, Meng & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Factors driving oil price —— from the perspective of United States," Energy, Elsevier, vol. 197(C).
- Jouchi Nakajima & Yasuhiro Omori, 2010.
"Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models,"
CIRJE F-Series
CIRJE-F-738, CIRJE, Faculty of Economics, University of Tokyo.
Cited by:
- Jouchi Nakajima & Nao Sudo & Takayuki Tsuruga, 2010.
"How well do the sticky price models explain the disaggregated price responses to aggregate technology and monetary policy shocks?,"
IMES Discussion Paper Series
10-E-22, Institute for Monetary and Economic Studies, Bank of Japan.
- Jouchi Nakajima & Nao Sudo & Takayuki Tsuruga, 2010. "How Well Do the Sticky Price Models Explain the Disaggregated Price Responses to Aggregate Technology and Monetary Policy Shocks?," Discussion papers e-10-007, Graduate School of Economics Project Center, Kyoto University.
Cited by:
- Jalali-Naini , Ahmad. R. & Hemati , Maryam, 2012. "The Effect of Monetary Shocks on Disaggregated Prices in a Data Rich Environment: a Bayesian FAVAR Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 6(4), pages 27-60, July.
- Carlos Viana de Carvalho & Niels Arne Dam & Jae Won Lee, 2014. "Real Rigidities and the Cross-Sectional Distribution of Price Stickiness: Evidence from Micro and Macro Data Combined," Textos para discussão 634, Department of Economics PUC-Rio (Brazil).
- Christiane Baumeister & Philip Liu & Haroon Mumtaz, 2012.
"Changes in the Effects of Monetary Policy on Disaggregate Price Dynamics,"
Staff Working Papers
12-13, Bank of Canada.
- Baumeister, Christiane & Liu, Philip & Mumtaz, Haroon, 2013. "Changes in the effects of monetary policy on disaggregate price dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 543-560.
- Carlos Carvalho & Niels Arne Dam & Jae Won Lee, 2020. "The Cross-Sectional Distribution of Price Stickiness Implied by Aggregate Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 162-179, March.
- Jouchi Nakajima & Shigenori Shiratsuka & Yuki Teranishi, 2010.
"The Effects of Monetary Policy Commitment: Evidence from Time- varying Parameter VAR Analysis,"
IMES Discussion Paper Series
10-E-06, Institute for Monetary and Economic Studies, Bank of Japan.
Cited by:
- Kagraoka, Yusho & Moussa, Zakaria, 2013.
"Quantitative easing, credibility and the time-varying dynamics of the term structure of interest rate in Japan,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 181-201.
- Yusho Kagraoka & Zakaria Moussa, 2010. "Quantitative Easing, Credibility and the Time-Varying Dynamics of the Term Structure of Interest rate in Japan," Working Papers halshs-00543010, HAL.
- Pami Dua & Deepika Goel, 2021. "Inflation Persistence in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 525-553, September.
- Jouchi Nakajima, 2011.
"Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
- Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
- Jouchi Nakajima, 2011.
"Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach,"
IMES Discussion Paper Series
11-E-08, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
- Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
- Wang, Kuan-Min & Lee, Yuan-Ming, 2022. "Is gold a safe haven for exchange rate risks? An empirical study of major currency countries," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
- Fumio Hayashi & Junko Koeda, 2013. "A Regime-Switching SVAR Analysis of Quantitative Easing," CARF F-Series CARF-F-322, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
- Moussa, Zakaria, 2010. "The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model," MPRA Paper 29429, University Library of Munich, Germany.
- Joice John, 2015. "Has Inflation Persistence In India Changed Over Time?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(04), pages 1-16.
- Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
- Hibiki Ichiue & Yoichi Ueno, 2018. "A Survey-based Shadow Rate and Unconventional Monetary Policy Effects," IMES Discussion Paper Series 18-E-05, Institute for Monetary and Economic Studies, Bank of Japan.
- Fumio Hayashi & Junko Koeda, 2014. "Exiting from QE," NBER Working Papers 19938, National Bureau of Economic Research, Inc.
- Yoshiyuki Nakazono & Kozo Ueda, 2011.
"Policy Commitment and Market Expectations: Lessons Learned from Survey Based Evidence under Japan's Quantitative Easing Policy,"
IMES Discussion Paper Series
11-E-12, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakazono, Yoshiyuki & Ueda, Kozo, 2013. "Policy commitment and market expectations: Lessons learned from survey based evidence under Japan's quantitative easing policy," Japan and the World Economy, Elsevier, vol. 25, pages 102-113.
- Junko Koeda, 2018.
"Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures,"
IMES Discussion Paper Series
18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
- Koeda, Junko, 2019. "Macroeconomic effects of quantitative and qualitative monetary easing measures," Journal of the Japanese and International Economies, Elsevier, vol. 52(C), pages 121-141.
- Kagraoka, Yusho & Moussa, Zakaria, 2013.
"Quantitative easing, credibility and the time-varying dynamics of the term structure of interest rate in Japan,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 181-201.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009.
"Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy,"
Global COE Hi-Stat Discussion Paper Series
gd09-072, Institute of Economic Research, Hitotsubashi University.
- Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," IMES Discussion Paper Series 09-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
Cited by:
- Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
- Liu, Dayu & Xu, Ning & Zhao, Tingting & Song, Yang, 2018. "Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 73(C), pages 45-54.
- Ligia Alba Melo-Becerra & Jorge Enrique Ramos-Forero & Ligia Marcela Parrado-Galvis & Hector Manuel Zarate-Solano, 2016. "Bonanzas y crisis de la actividad petrolera y su efecto sobre la economía colombiana," Borradores de Economia 961, Banco de la Republica de Colombia.
- Rufei Zhang & Haizhen Zhang & Wang Gao & Ting Li & Shixiong Yang, 2022. "The Dynamic Effects of Oil Price Shocks on Exchange Rates—From a Time-Varying Perspective," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
- Haque, Qazi & Magnusson, Leandro M., 2021.
"Uncertainty shocks and inflation dynamics in the U.S,"
Economics Letters, Elsevier, vol. 202(C).
- Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the U.S," Economics Discussion / Working Papers 20-25, The University of Western Australia, Department of Economics.
- Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the US," CAMA Working Papers 2020-100, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Jin‐Yu Chen & Xue‐Hong Zhu & Mei‐Rui Zhong, 2021. "Time‐varying effects and structural change of oil price shocks on industrial output: Evidence from China's oil industrial chain," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3460-3472, July.
- Steffen Henzel & Wolfgang Nierhaus & Tim Oliver Berg & Christian Breuer & Kai Carstensen & Christian Grimme & Oliver Hülsewig & Atanas Hristov & Nikolay Hristov & Michael Kleemann & Wolfgang Meister &, 2013. "ifo Konjunkturprognose 2013/2014: Deutsche Konjunkturlokomotive kommt unter Dampf," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(24), pages 20-67, December.
- Olawale Awe O. & Adedayo Adepoju A., 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Statistics Poland, vol. 19(2), pages 258-293, June.
- Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019.
"Empirical evidence on the dynamics of investment under uncertainty in the U.S,"
Economics Discussion / Working Papers
19-18, The University of Western Australia, Department of Economics.
- Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2021. "Empirical Evidence on the Dynamics of Investment Under Uncertainty in the U.S," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1193-1217, October.
- Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019. "Empirical evidence on the dynamics of investment under uncertainty in the US," CAMA Working Papers 2019-87, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
- Arratibel, Olga & Michaelis, Henrike, 2013.
"The Impact of Monetary Policy and Exchange Rate Shocks in Poland: Evidence from a Time-Varying VAR,"
Discussion Papers in Economics
21088, University of Munich, Department of Economics.
- Arratibel, Olga & Michaelis, Henrike, 2014. "The impact of monetary policy and exchange rate shocks in Poland: evidence from a time-varying VAR," Working Paper Series 1636, European Central Bank.
- Zhang, Xiuqi & Meng, Xiangyu & Su, Chi Wei, 2024. "The security of energy import: Do economic policy uncertainty and geopolitical risk really matter?," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 377-388.
- Kim, Soohyeon & Kim, Jihyo & Heo, Eunnyeong, 2021. "Speculative incentives to hoard aluminum: Relationship between capital gains and inventories," Resources Policy, Elsevier, vol. 70(C).
- IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023.
"The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter,"
MPRA Paper
116355, University Library of Munich, Germany.
- Yasuharu Iwata & Hirokuni IIboshi, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 830-858, August.
- IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116310, University Library of Munich, Germany.
- Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
- Ganwen Zheng & Songping Zhu, 2021. "Research on the Effectiveness of China’s Macro Control Policy on Output and Technological Progress under Economic Policy Uncertainty," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
- Cai, Yifei, 2016. "短期资本流动、经济政策不确定性与恐慌指数—基于时变分析框架下的研究 [Short-term Capital Flow, Economic Policy Uncertainty and VIX—Evidence from a Time-varying Analysis Framework]," MPRA Paper 73213, University Library of Munich, Germany.
- Long, Shaobo & Guo, Jiaqi, 2022. "Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks," Research in International Business and Finance, Elsevier, vol. 62(C).
- Kagraoka, Yusho & Moussa, Zakaria, 2013.
"Quantitative easing, credibility and the time-varying dynamics of the term structure of interest rate in Japan,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 181-201.
- Yusho Kagraoka & Zakaria Moussa, 2010. "Quantitative Easing, Credibility and the Time-Varying Dynamics of the Term Structure of Interest rate in Japan," Working Papers halshs-00543010, HAL.
- Pami Dua & Deepika Goel, 2021. "Inflation Persistence in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 525-553, September.
- Jouchi Nakajima, 2011.
"Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
- Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
- Zhao, Lili & Liu, Wenhua & Zhou, Min & Wen, Fenghua, 2022. "Extreme event shocks and dynamic volatility interactions: The stock, commodity, and carbon markets in China," Finance Research Letters, Elsevier, vol. 47(PA).
- Martin Feldkircher & Kazuhiko Kakamu, 2018.
"How does monetary policy affect income inequality in Japan? Evidence from grouped data,"
Papers
1803.08868, arXiv.org, revised Jul 2021.
- Feldkircher, Martin & Kakamu, Kazuhiko, 2018. "How does monetary policy affect income inequality in Japan? Evidence from grouped data," Working Papers in Regional Science 2018/03, WU Vienna University of Economics and Business.
- Martin Feldkircher & Kazuhiko Kakamu, 2022. "How does monetary policy affect income inequality in Japan? Evidence from grouped data," Empirical Economics, Springer, vol. 62(5), pages 2307-2327, May.
- Henrike Michaelis & Sebastian Watzka, 2014.
"Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?,"
CESifo Working Paper Series
4901, CESifo.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Munich Reprints in Economics 55051, University of Munich, Department of Economics.
- Joseph P Byrne & Ryuta Sakemoto & Bing Xu, 2020.
"Commodity price co-movement: heterogeneity and the time-varying impact of fundamentals [Oil price shocks and the stock market: evidence from Japan],"
European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 499-528.
- Byrne, Joseph P & Sakemoto, Ryuta & Xu, Bing, 2017. "Commodity Price Co-movement: Heterogeneity and the Time Varying Impact of Fundamentals," MPRA Paper 80791, University Library of Munich, Germany.
- Jamshaid ur Rehman & Khalil Ahmad & Jawaria Arif, 2022. "Transmission Mechanism of Monetary Policy in BRICS Countries: A Comparative Response with the USA," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 23-34, December.
- Zhong, Yufei & Chen, Xuesheng & Wang, Zhixian & Lin, Regina Fang-Ying, 2024. "The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis," Energy Economics, Elsevier, vol. 132(C).
- Bariş Gök & Abdurrahman Nazif Çatik, 2016. "Is There Any Time-Varying Relationship between Fiscal and Trade Deficits in Turkey?," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 607-616.
- Chance Mwabutwa & Manoel Bittencourt & Nicola Viegi, 2013.
"Evolution of Monetary Policy Transmission Mechanism in Malawi: A TVP-VAR Approach,"
Working Papers
201327, University of Pretoria, Department of Economics.
- Chance Ngamanya Mwabutwa & Nicola Viegi & Manoel Bittencourt, 2016. "Evolution Of Monetary Policy Transmission Mechanism In Malawi: A Tvp-Var Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 41(1), pages 33-55, March.
- Jouchi Nakajima, 2011.
"Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach,"
IMES Discussion Paper Series
11-E-08, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
- Eric Girardin & Zakaria Moussa, 2010.
"Quantitative easing works: Lessons from the unique experience in Japan 2001-2006,"
Working Papers
halshs-00459384, HAL.
- Girardin, Eric & Moussa, Zakaria, 2011. "Quantitative easing works: Lessons from the unique experience in Japan 2001â2006," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 461-495, October.
- Zhaosu MENG & Wei WEI & Xiaotong LIU & Kedong YIN, 2018. "The Influence of International Capital Flow on the Effectiveness of Chinese Monetary Policy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 21-40, December.
- Lyu, Yongjian & Yi, Heling & Cao, Jin & Yang, Mo, 2022. "Time-varying monetary policy shocks and the dynamics of Chinese commodity prices," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
- Sui, Yuelei & Holan, Scott H. & Yang, Wen-Hsi, 2023. "Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
- Dahem, Ahlem & Skander, Slim & Fatma, Siala Guermazi, 2017. "Time Varying VAR Analysis for Disaggregated Exchange Rate Pass-through in Tunisia," MPRA Paper 79759, University Library of Munich, Germany, revised 2017.
- Nikita Moiseev & Alexey Mikhaylov & Hasan Dinçer & Serhat Yüksel, 2023. "Market capitalization shock effects on open innovation models in e-commerce: golden cut q-rung orthopair fuzzy multicriteria decision-making analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
- Stelios D. Bekiros & Alessia Paccagnini, 2014.
"Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models,"
Open Access publications
10197/7322, School of Economics, University College Dublin.
- Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
- Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
- Jun‐Hyung Ko & Hiroshi Morita, 2019.
"Regime Switches in Japan's Fiscal Policy: Markov‐Switching VAR Approach,"
Manchester School, University of Manchester, vol. 87(5), pages 724-749, September.
- Jun-Hyung Ko & Hiroshi Morita, 2013. "Regime Switches in Japanese Fiscal Policy: Markov-Switching VAR Approach," Global COE Hi-Stat Discussion Paper Series gd12-270, Institute of Economic Research, Hitotsubashi University.
- Wang, Kuan-Min & Lee, Yuan-Ming, 2022. "Is gold a safe haven for exchange rate risks? An empirical study of major currency countries," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
- Xiaoqing An & William A. Barnett & Xue Wang & Qingyuan Wu, 2023.
"Brexit spillovers: how economic policy uncertainty affects foreign direct investment and international trade,"
The European Journal of Finance, Taylor & Francis Journals, vol. 29(16), pages 1913-1932, November.
- Xiaoqing An & William A. Barnett & Xue Wang & Qingyuan Wu, 2022. "Brexit Spillovers: How Economic Policy Uncertainty Affects Foreign Direct Investment and International Trade," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202208, University of Kansas, Department of Economics.
- Abdurrahman Nazif ÇATIK, 2020. "A Time-varying VAR Investigation of the Relationship among Electricity, Fossil Fuel Prices and Exchange Rate in Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 60-77, September.
- Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018.
"Oil price shocks and uncertainty: How stable is their relationship over time?,"
Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
- Stavros Degiannakis & George Filis & Sofia Panagiotakopoulou, 2018. "Oil Price Shocks and Uncertainty: How stable is their relationship over time?," BAFES Working Papers BAFES13, Department of Accounting, Finance & Economic, Bournemouth University.
- Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil Price Shocks and Uncertainty: How stable is their relationship over time?," MPRA Paper 96271, University Library of Munich, Germany.
- Yang, Tianle & Zhou, Fangxing & Du, Min & Du, Qunyang & Zhou, Shirong, 2023. "Fluctuation in the global oil market, stock market volatility, and economic policy uncertainty: A study of the US and China," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 377-387.
- Wang, Yonglian & Wang, Lijun & Pan, Changchun & Hong, Songzhi, 2022. "Economic policy uncertainty and price pass-through effect of exchange rate in China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
- Guglielmo Maria Caporale & Abdurrahman Nazif Catik & Mohamad Husam Helmi & Coskun Akdeniz & Ali Ilhan, 2021. "The Effects of the Covid-19 Pandemic on Stock Markets, CDS and Economic Activity: Time-Varying Evidence from the US and Europe," CESifo Working Paper Series 9316, CESifo.
- Morita, Hiroshi, 2020. "Empirical Analysis on the Effects of Japanese Fiscal Policy under the Effective Lower Bound," Discussion paper series HIAS-E-97, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Hartwig, Benny, 2020.
"Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model,"
VfS Annual Conference 2020 (Virtual Conference): Gender Economics
224528, Verein für Socialpolitik / German Economic Association.
- Hartwig, Benny, 2020. "Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model," Discussion Papers 34/2020, Deutsche Bundesbank.
- Fumio Hayashi & Junko Koeda, 2013. "A Regime-Switching SVAR Analysis of Quantitative Easing," CARF F-Series CARF-F-322, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Zhu, Bo & Hu, Xin & Deng, Yuanyue & Zhang, Bokai & Li, Xiru, 2023. "The differential effects of climate risks on non-fossil and fossil fuel stock markets: Evidence from China," Finance Research Letters, Elsevier, vol. 55(PB).
- Masahiko Shibamoto, 2016.
"Source of Underestimation of the Monetary Policy Effect: Re-Examination of the Policy Effectiveness in Japan's 1990s,"
Manchester School, University of Manchester, vol. 84(6), pages 795-810, December.
- Masahiko Shibamoto, 2014. "Source of Underestimation of the Monetary Policy Effect: Re-examination of the Policy Effectiveness in Japan's 1990s," Discussion Paper Series DP2014-10, Research Institute for Economics & Business Administration, Kobe University.
- Yang, Jizhe & Jiang, Tingfeng & Wen, Xingchun & Dai, Lu, 2024. "Time-varying and spillover effects of the macroeconomy on nonfinancial corporate financialization: Evidence from China," Journal of Asian Economics, Elsevier, vol. 90(C).
- Qin, Yun & Chen, Jinyu & Dong, Xuesong, 2021. "Oil prices, policy uncertainty and travel and leisure stocks in China," Energy Economics, Elsevier, vol. 96(C).
- Amine Ben Amar, 2022. "On the role of Islamic banks in the monetary policy transmission in Saudi Arabia," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 55-94, March.
- Esmaeili, Parisa & Rafei, Meysam, 2021. "Dynamics analysis of factors affecting electricity consumption fluctuations based on economic conditions: Application of SVAR and TVP-VAR models," Energy, Elsevier, vol. 226(C).
- Yufeng CHEN & Shuo YANG, 2022. "How Does the Reform in Pricing Mechanism Affect the World’s Iron Ore Price: A Time-Varying Parameter SVAR Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 83-103, April.
- Masahiko Shibamoto & Wataru Takahashi & Takashi Kamihigashi, 2023.
"Japan’s monetary policy: a literature review and empirical assessment,"
Journal of Computational Social Science, Springer, vol. 6(2), pages 1215-1254, October.
- Masahiko Shibamoto & Wataru Takahashi & Takashi Kamihigashi, 2020. "Japan's Monetary Policy: A Literature Review and Empirical Assessment," Discussion Paper Series DP2020-15, Research Institute for Economics & Business Administration, Kobe University, revised Mar 2021.
- Boubekeur Baba & Güven Sevil, 2021. "Bayesian analysis of time-varying interactions between stock returns and foreign equity flows," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
- Seojin Lee & Young Min Kim, 2020. "Effect of foreign exchange intervention: The case of Korea," Pacific Economic Review, Wiley Blackwell, vol. 25(5), pages 641-659, December.
- Tian, Meiyu & Li, Wanyang & Wen, Fenghua, 2021. "The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
- Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
- Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
- Yang, Tianle & Dong, Qingyuan & Du, Min & Du, Qunyang, 2023. "Geopolitical risks, oil price shocks and inflation: Evidence from a TVP–SV–VAR approach," Energy Economics, Elsevier, vol. 127(PB).
- Moussa, Zakaria, 2010. "The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model," MPRA Paper 29429, University Library of Munich, Germany.
- Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2017. "Bayesian semiparametric multivariate stochastic volatility with an application to international stock-market co-movements," CQE Working Papers 6217, Center for Quantitative Economics (CQE), University of Muenster.
- Toparlı, Elif Akay & Çatık, Abdurrahman Nazif & Balcılar, Mehmet, 2019. "The impact of oil prices on the stock returns in Turkey: A TVP-VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
- Zhu, Xuehong & Liao, Jianhui & Chen, Ying, 2021. "Time-varying effects of oil price shocks and economic policy uncertainty on the nonferrous metals industry: From the perspective of industrial security," Energy Economics, Elsevier, vol. 97(C).
- Yoshihiro Ohtsuka, 2018. "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 143-178, April.
- Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
- Chen, Jinyu & Zhu, Xuehong & Li, Hailing, 2020. "The pass-through effects of oil price shocks on China's inflation: A time-varying analysis," Energy Economics, Elsevier, vol. 86(C).
- Joice John, 2015. "Has Inflation Persistence In India Changed Over Time?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(04), pages 1-16.
- Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
- Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014.
"On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility,"
Energy Economics, Elsevier, vol. 45(C), pages 66-98.
- Ikram Jebabli & Mohamed Arouri & Frédéric Teulon, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVPVAR models with stochastic volatility," Working Papers 2014-209, Department of Research, Ipag Business School.
- Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2019.
"Restoring euro area monetary transmission: Which role for government bond rates?,"
Empirical Economics, Springer, vol. 57(3), pages 991-1021, September.
- Hristov, Nikolay & Huelsewig, Oliver & Siemsen, Thomas & Wollmershaeuser, Timo, 2019. "Restoring euro area monetary transmission: Which role for government bond rates?," Munich Reprints in Economics 78269, University of Munich, Department of Economics.
- Kassouri, Yacouba & Kacou, Kacou Yves Thierry & Alola, Andrew Adewale, 2021. "Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives," Energy, Elsevier, vol. 232(C).
- Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
- Liao, Xin & Li, Qin & Chan, Stephen & Chu, Jeffrey & Zhang, Yuanyuan, 2024. "Interconnections and contagion among cryptocurrencies, DeFi, NFT and traditional financial assets: Some new evidence from tail risk driven network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 647(C).
- Tavakolian , Hossein & Babaee , Majid & Shakeri , Abbas, 2018. "How Fluctuations in Macroeconomic Indicators Affect Inflation in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(3), pages 267-289, July.
- Hiroyuki Ijiri & Yoichi Matsubayashi, 2016. "Quantitative Easing Policy, Exchange Rates and Business Activity by Industry in Japan from 2001-2006," Discussion Papers 1611, Graduate School of Economics, Kobe University.
- Ni, Jianhui & Ruan, Jia, 2024. "Contagion effects of external monetary shocks on systemic financial risk in China: Evidence from the Euro area and Japan," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
- Coşkun Akdeniz & Abdurrahman Nazif Çatık & Esra Ballı, 2022. "Inflationary effects of oil price and exchange rate shocks in South Africa: Evidence from time‐varying pass‐through coefficients," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 301-328, September.
- Huang, Qian & Wang, Xiangning & Zhang, Shuguang, 2021. "The effects of exchange rate fluctuations on the stock market and the affecting mechanisms: Evidence from BRICS countries," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
- Hanisch, Max, 2017. "The effectiveness of conventional and unconventional monetary policy: Evidence from a structural dynamic factor model for Japan," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 110-134.
- Joseph P. Byrne & Marco Lorusso & Bing Xu, 2017.
"Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations,"
CEERP Working Paper Series
006, Centre for Energy Economics Research and Policy, Heriot-Watt University.
- Byrne, Joseph P & Lorusso, Marco & Xu, Bing, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," MPRA Paper 80668, University Library of Munich, Germany.
- Michal Franta & Tomas Holub & Petr Kral & Ivana Kubicova & Katerina Smidkova & Borek Vasicek, 2014. "The Exchange Rate as an Instrument at Zero Interest Rates: The Case of the Czech Republic," Research and Policy Notes 2014/03, Czech National Bank.
- Zareifard, Hamid & Rue, Håvard & Khaledi, Majid Jafari & Lindgren, Finn, 2016. "A skew Gaussian decomposable graphical model," Journal of Multivariate Analysis, Elsevier, vol. 145(C), pages 58-72.
- Chen, Yufeng & Yang, Shuo, 2021. "Time-varying effect of international iron ore price on China’s inflation: A complete price chain with TVP-SVAR-SV model," Resources Policy, Elsevier, vol. 73(C).
- Wollmershäuser, Timo & Hristov, Nikolay & Hülsewig, Oliver & Siemsen, Thomas, 2014.
"Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB s OMT Program,"
VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy
100280, Verein für Socialpolitik / German Economic Association.
- Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2014. "Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB's OMT Program," CESifo Working Paper Series 4628, CESifo.
- Shifen Zhou & Xiaojun Liu, 2022. "Internet postings and investor herd behavior: evidence from China’s open-end fund market," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
- Mohsen Khezri & Seyed Ehsan Hosseinidoust & Mohammad Kazem Naziri, 2019. "Investigating the Temporary and Permanent Influential Variables on Iran Inflation Using TVP-DMA Models," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 23(1), pages 209-234, Winter.
- Yoshiyuki Nakazono & Satoshi Ikeda, 2016. "Stock Market Responses Under Quantitative Easing: State Dependence and Transparency in Monetary Policy," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 560-580, December.
- Iiboshi, Hirokuni & Iwata, Yasuharu & Kajita, Yuto & Soma, Naoto, 2019. "Time-varying Fiscal Multipliers Identified by Systematic Component: A Bayesian Approach to TVP-SVAR model," MPRA Paper 92631, University Library of Munich, Germany.
- Aubrey Poon, 2018. "The transmission mechanism of Malaysian monetary policy: a time-varying vector autoregression approach," Empirical Economics, Springer, vol. 55(2), pages 417-444, September.
- Song GAO & Yating ZHU & Adelina DUMITRESCU PECULEA, 2024. "Green finance and innovation input: the promoters of carbon neutrality in China," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(641), W), pages 31-52, Winter.
- Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).
- Choi, Sangyup, 2017. "Variability in the effects of uncertainty shocks: New stylized facts from OECD countries," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 127-144.
- Han, Jong-Suk & Hur, Joonyoung, 2020. "Macroeconomic effects of monetary policy in Korea: A time-varying coefficient VAR approach," Economic Modelling, Elsevier, vol. 89(C), pages 142-152.
- Jouchi Nakajima, 2017. "Bayesian analysis of multivariate stochastic volatility with skew return distribution," Econometric Reviews, Taylor & Francis Journals, vol. 36(5), pages 546-562, May.
- Li, Houjian & Li, Yanjiao & Guo, Lili, 2023. "Extreme risk spillover effect and dynamic linkages between uncertainty and commodity markets: A comparison between China and America," Resources Policy, Elsevier, vol. 85(PA).
- Ding, Qian & Huang, Jianbai & Chen, Jinyu & Luo, Xianfeng, 2024. "Climate warming, renewable energy consumption and rare earth market: Evidence from the United States," Energy, Elsevier, vol. 290(C).
- Chai, Jian & Guo, Ju-E. & Meng, Lei & Wang, Shou-Yang, 2011. "Exploring the core factors and its dynamic effects on oil price: An application on path analysis and BVAR-TVP model," Energy Policy, Elsevier, vol. 39(12), pages 8022-8036.
- Bala Dahiru Abdullahi, 2016. "Time-Varying VAR with Stochastic Volatility and Monetary Policy Dynamics in Nigeria," Economics Bulletin, AccessEcon, vol. 36(4), pages 2237-2249.
- Masazumi Hattori & Andreas Schrimpf & Vladyslav Sushko, 2016.
"The Response of Tail Risk Perceptions to Unconventional Monetary Policy,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 8(2), pages 111-136, April.
- Masazumi Hattori & Andreas Schrimpf & Vladyslav Sushko, 2013. "The response of tail risk perceptions to unconventional monetary policy," BIS Working Papers 425, Bank for International Settlements.
- Fumio Hayashi & Junko Koeda, 2014. "Exiting from QE," NBER Working Papers 19938, National Bureau of Economic Research, Inc.
- Xiuying Ma & Yongjing Wang & Haiyan Song & Han Liu, 2020. "Time-varying mechanisms between foreign direct investment and tourism development under the new normal in China," Tourism Economics, , vol. 26(2), pages 324-343, March.
- Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
- IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116347, University Library of Munich, Germany.
- Mezghani, Imed & Ben Haddad, Hedi, 2017. "Energy consumption and economic growth: An empirical study of the electricity consumption in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 145-156.
- Banerjee, A. & Malik, S., 2012. "The changing role of expectations in US monetary policy: A new look using the Livingston Survey," Working papers 376, Banque de France.
- Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
- He, Yongda & Lin, Boqiang, 2018. "Time-varying effects of cyclical fluctuations in China's energy industry on the macro economy and carbon emissions," Energy, Elsevier, vol. 155(C), pages 1102-1112.
- Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
- Yanhong Feng & Xiaolei Wang & Shuanglian Chen & Yanqiong Liu, 2022. "Impact of Oil Financialization on Oil Price Fluctuation: A Perspective of Heterogeneity," Energies, MDPI, vol. 15(12), pages 1-20, June.
- Qin, Meng & Wu, Tong & Ma, Xuecheng & Albu, Lucian Liviu & Umar, Muhammad, 2023. "Are energy consumption and carbon emission caused by Bitcoin? A novel time-varying technique," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 109-120.
- Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
- Morita, Hiroshi, 2015. "State-dependent effects of fiscal policy in Japan: Do rule-of-thumb households increase the effects of fiscal policy?," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 49-61.
- Boufateh, Talel & Saadaoui, Zied, 2021. "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 102(C).
- Chen, Yunping & Chen, Huanhuan & Li, Guorong & Jiao, Dongdan & Xu, Xiangyun, 2021. "Time-varying effect of macro-prudential policies on household credit growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 241-254.
- Ko, Jun-Hyung & Morita, Hiroshi, 2015. "Fiscal sustainability and regime shifts in Japan," Economic Modelling, Elsevier, vol. 46(C), pages 364-375.
- Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Sun, Weihong & Liu, Ding, 2023. "Great moderation with Chinese characteristics: Uncovering the role of monetary policy," Economic Modelling, Elsevier, vol. 121(C).
- Wang, Shu & Zhou, Baicheng & Gao, Tianshu, 2023. "Speculation or actual demand? The return spillover effect between stock and commodity markets," Journal of Commodity Markets, Elsevier, vol. 29(C).
- Yang, Cai & Zhang, Hongwei & Qin, Yun & Niu, Zibo, 2024. "Partisan conflict, trade policy uncertainty, and the energy market," Research in International Business and Finance, Elsevier, vol. 71(C).
- Hernán Rincón-Castro & Pedro Rubiano-López & Lisseth Yaya-Garzón & Héctor M. Zárate-Solano, 2021. "Traspaso de la tasa de cambio a la inflación básica en Colombia: un análisis de parámetros cambiantes en el tiempo," Borradores de Economia 1177, Banco de la Republica de Colombia.
- Min Hong & Xiaolei Wang & Zhenghui Li, 2022. "Will Oil Price Volatility Cause Market Panic?," Energies, MDPI, vol. 15(13), pages 1-17, June.
- Huang, Jianbai & Dong, Xuesong & Chen, Jinyu & Zhong, Meirui, 2022. "Do oil prices and economic policy uncertainty matter for precious metal returns? New insights from a TVP-VAR framework," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 433-445.
- Xiaoye Liu & Kedong Yin & Yun Cao, 2021. "Contribution of the Optimization of Financial Structure to the Real Economy: Evidence from China’s Financial System Using TVP-VAR Model," Mathematics, MDPI, vol. 9(18), pages 1-21, September.
- Michal Franta, 2011. "Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework," IMES Discussion Paper Series 11-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
- Iwata, Yasuharu & Iiboshi, Hirokuni, 2020. "Fiscal Adjustments and Debt-Dependent Multipliers: Evidence from the U.S. Time Series," Discussion paper series HIAS-E-103, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Wenqiang Zhu & Shouwei Li, 2024. "Nonlinear effects of climate risks on climate-sensitive sectors," Economic Change and Restructuring, Springer, vol. 57(5), pages 1-31, October.
- Zhang, Ailian & Pan, Mengmeng & Liu, Bai & Weng, Yin-Che, 2020. "Systemic risk: The coordination of macroprudential and monetary policies in China," Economic Modelling, Elsevier, vol. 93(C), pages 415-429.
- Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
- Junko Koeda, 2018.
"Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures,"
IMES Discussion Paper Series
18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
- Koeda, Junko, 2019. "Macroeconomic effects of quantitative and qualitative monetary easing measures," Journal of the Japanese and International Economies, Elsevier, vol. 52(C), pages 121-141.
- Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
- Helmi, Mohamad Husam & Çatık, Abdurrahman Nazif & Akdeniz, Coşkun, 2023. "The impact of central bank digital currency news on the stock and cryptocurrency markets: Evidence from the TVP-VAR model," Research in International Business and Finance, Elsevier, vol. 65(C).
- Yang, Ronghai & Sun, Xiaowen & Wang, Honglei & Wang, Xiao, 2024. "A study of the time-varying impact of capital account liberalization on monetary policy rules in the open economy: Evidence from China," Finance Research Letters, Elsevier, vol. 65(C).
- Wildmer Daniel Gregori & Ângelo Ramos, 2024. "Time-varying effects of monetary and macroprudential policies: does high inflation matter?," Working Papers w202401, Banco de Portugal, Economics and Research Department.
- Qiao, Xingzhi & Zhu, Huiming & Zhang, Zhongqingyang & Mao, Weifang, 2022. "Time-frequency transmission mechanism of EPU, investor sentiment and financial assets: A multiscale TVP-VAR connectedness analysis," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
- Wei, Jiangqiao & Ma, Zhe & Wang, Anjian & Li, Pengyuan & Sun, Xiaoyan & Yuan, Xiaojing & Hao, Hongchang & Jia, Hongxiang, 2022. "Multiscale nonlinear Granger causality and time-varying effect analysis of the relationship between iron ore futures and spot prices," Resources Policy, Elsevier, vol. 77(C).
- Su, Chi-Wei & Qin, Meng & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Factors driving oil price —— from the perspective of United States," Energy, Elsevier, vol. 197(C).
- Ko, Jun-Hyung & Murase, Koichi, 2013. "Great Moderation in the Japanese economy," Japan and the World Economy, Elsevier, vol. 27(C), pages 10-24.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruwirth-Scnatter, 2009.
"Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form,"
IMES Discussion Paper Series
09-E-32, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima, Jouchi & Kunihama, Tsuyoshi & Omori, Yasuhiro & Frühwirth-Schnatter, Sylvia, 2012. "Generalized extreme value distribution with time-dependence using the AR and MA models in state space form," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3241-3259.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruhwirth-Schnatter, 2011. "Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form," CIRJE F-Series CIRJE-F-782, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruhwirth-Schnatter, 2009. "Generalized extreme value distribution with time-dependence using the AR and MA models in state space form," CIRJE F-Series CIRJE-F-689, CIRJE, Faculty of Economics, University of Tokyo.
Cited by:
- Stéphane Auray & Aurélien Eyquem & Frédéric Jouneau-Sion, 2014.
"Modelling Tails of Aggregated Economic Processes in a Stochastic Growth Model,"
Post-Print
halshs-00995703, HAL.
- Stéphane Auray & Aurélien Eyquem & Fréderic Jouneau-Sion, 2012. "Modelling Tails of Aggregated Economic Processes in a Stochastic Growth Model," Working Papers 2012-29, Center for Research in Economics and Statistics.
- Auray, Stéphane & Eyquem, Aurélien & Jouneau-Sion, Frédéric, 2014. "Modeling tails of aggregate economic processes in a stochastic growth model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 76-94.
- Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2010. "Bayesian Estimation and Particle Filter for Max-Stable Processes," CIRJE F-Series CIRJE-F-757, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015.
"Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ,"
CIRJE F-Series
CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2017. "Bayesian modeling of dynamic extreme values: extension of generalized extreme value distributions with latent stochastic processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1248-1268, May.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
- Wang, Yixin & So, Mike K.P., 2016. "A Bayesian hierarchical model for spatial extremes with multiple durations," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 39-56.
- Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2012.
"Efficient estimation and particle filter for max‐stable processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 33(1), pages 61-80, January.
- Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2011. "Efficient estimation and particle filter for max-stable processes," CIRJE F-Series CIRJE-F-791, CIRJE, Faculty of Economics, University of Tokyo.
- Douissi, Soukaina & Es-Sebaiy, Khalifa & Alshahrani, Fatimah & Viens, Frederi G., 2022. "AR(1) processes driven by second-chaos white noise: Berry–Esséen bounds for quadratic variation and parameter estimation," Stochastic Processes and their Applications, Elsevier, vol. 150(C), pages 886-918.
- Chen, Lei & Kou, Yingxin & Li, Zhanwu & Xu, An & Wu, Cheng, 2018. "Empirical research on complex networks modeling of combat SoS based on data from real war-game, Part I: Statistical characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 754-773.
- Chao Huang & Jin-Guan Lin, 2014. "Modified maximum spacings method for generalized extreme value distribution and applications in real data analysis," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(7), pages 867-894, October.
- Jouchi Nakajima & Yuki Teranishi, 2009.
"The Evolution of Loan Rate Stickiness Across the Euro Area,"
IMES Discussion Paper Series
09-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
Cited by:
- Jouchi Nakajima, 2011.
"Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
- Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
- Hinterschweiger, Marc & Khairnar, Kunal & Ozden, Tolga & Stratton, Tom, 2021. "Macroprudential policy interactions in a sectoral DSGE model with staggered interest rates," Bank of England working papers 904, Bank of England.
- Mr. Sohrab Rafiq, 2015. "How Important are Debt and Growth Expectations for Interest Rates?," IMF Working Papers 2015/094, International Monetary Fund.
- Jouchi Nakajima, 2011.
"Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
- Jouchi Nakajima & Yasuhiro Omori, 2009.
"Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's t-distribution,"
CARF F-Series
CARF-F-199, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Nakajima, Jouchi & Omori, Yasuhiro, 2012. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3690-3704.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution," Global COE Hi-Stat Discussion Paper Series gd09-124, Institute of Economic Research, Hitotsubashi University.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution," CARF F-Series CARF-F-215, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Jouchi Nakajima & Yasuhiro Omori, 2009. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution," CIRJE F-Series CIRJE-F-701, CIRJE, Faculty of Economics, University of Tokyo.
Cited by:
- Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
- Hai-Chuan Xu & Fredj Jawadi & Jie Zhou & Wei-Xing Zhou, 2023.
"Quantifying interconnectedness and centrality ranking among financial institutions with TVP-VAR framework,"
Empirical Economics, Springer, vol. 65(1), pages 93-110, July.
- Hai-Chuan Xu & Fredj Jawadi & Jie Zhou & Wei-Xing Zhou, 2022. "Quantifying interconnectedness and centrality ranking among financial institutions with TVP-VAR framework," Post-Print hal-04478741, HAL.
- Makoto Takahashi & Toshiaki Watanabe & Yasuhiro Omori, 2014.
"Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution,"
CIRJE F-Series
CIRJE-F-949, CIRJE, Faculty of Economics, University of Tokyo.
- Makoto Takahashi & Toshiaki Watanabe & Yasuhiro Omori, 2015. "Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution," CIRJE F-Series CIRJE-F-975, CIRJE, Faculty of Economics, University of Tokyo.
- Makoto Takahashi & Toshiaki Watanabe & Yasuhiro Omori, 2014. "Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution," CIRJE F-Series CIRJE-F-921, CIRJE, Faculty of Economics, University of Tokyo.
- Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2016. "Volatility and quantile forecasts by realized stochastic volatility models with generalized hyperbolic distribution," International Journal of Forecasting, Elsevier, vol. 32(2), pages 437-457.
- Joshua C.C. Chan & Angelia L. Grant, 2014. "Issues in Comparing Stochastic Volatility Models Using the Deviance Information Criterion," CAMA Working Papers 2014-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
- Tsunehiro Ishihara & Yasuhiro Omori, 2009.
"Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors,"
CARF F-Series
CARF-F-198, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-746, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2009. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-700, CIRJE, Faculty of Economics, University of Tokyo.
- Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CARF F-Series CARF-F-221, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Chan, Joshua C.C., 2013.
"Moving average stochastic volatility models with application to inflation forecast,"
Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
- Joshua C C Chan, 2012. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," ANU Working Papers in Economics and Econometrics 2012-591, Australian National University, College of Business and Economics, School of Economics.
- Joshua C.C. Chan, 2013. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," CAMA Working Papers 2013-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Saikat Saha, 2015. "Noise Robust Online Inference for Linear Dynamic Systems," Papers 1504.05723, arXiv.org.
- Gregor Kastner & Sylvia Fruhwirth-Schnatter, 2017.
"Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models,"
Papers
1706.05280, arXiv.org.
- Kastner, Gregor & Frühwirth-Schnatter, Sylvia, 2014. "Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 408-423.
- Cabral, Celso Rômulo Barbosa & da-Silva, Cibele Queiroz & Migon, Helio S., 2014. "A dynamic linear model with extended skew-normal for the initial distribution of the state parameter," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 64-80.
- P. de Zea Bermudez & J. Miguel Marín & Helena Veiga, 2020.
"Data cloning estimation for asymmetric stochastic volatility models,"
Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 1057-1074, November.
- Zea Bermudez, Patrícia de, 2019. "Data cloning estimation for asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 28214, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Cem Çakmakli & Selva Demi̇ralp & Gökhan Şahi̇n Güneş, 2024. "Do Financial Markets Respond to Populist Rhetoric?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 541-567, June.
- Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021.
"Vector autoregression models with skewness and heavy tails,"
Papers
2105.11182, arXiv.org.
- Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
- Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023. "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
- Makoto Takahashi & Yasuhiro Omori & Toshiaki Watanabe, 2012.
"News Impact Curve for Stochastic Volatility Models,"
Global COE Hi-Stat Discussion Paper Series
gd12-242, Institute of Economic Research, Hitotsubashi University.
- Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2013. "News impact curve for stochastic volatility models," Economics Letters, Elsevier, vol. 120(1), pages 130-134.
- Minheng Xiao, 2022. "Data-Driven Risk Measurement by SV-GARCH-EVT Model," Papers 2201.09434, arXiv.org, revised Dec 2024.
- Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018.
"Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
- Marco Valerio Geraci & Jean-Yves Gnabo, 2015. "Measuring interconnectedness between financial institutions with Bayesian time-varying vector autoregressions," Working Papers ECARES 2015-51, ULB -- Universite Libre de Bruxelles.
- Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2021. "Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility," Discussion paper series HIAS-E-104, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Igor Ferreira Batista Martins & Hedibert Freitas Lopes, 2023. "Stochastic volatility models with skewness selection," Papers 2312.00282, arXiv.org.
- Nonejad Nima, 2015. "Particle Gibbs with ancestor sampling for stochastic volatility models with: heavy tails, in mean effects, leverage, serial dependence and structural breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 561-584, December.
- Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
- Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
- Nakajima Jouchi, 2013. "Stochastic volatility model with regime-switching skewness in heavy-tailed errors for exchange rate returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 499-520, December.
- Roland Langrock & Théo Michelot & Alexander Sohn & Thomas Kneib, 2015. "Semiparametric stochastic volatility modelling using penalized splines," Computational Statistics, Springer, vol. 30(2), pages 517-537, June.
- Martin Iseringhausen, 2018.
"The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility – Stochastic Skewness Model,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
18/944, Ghent University, Faculty of Economics and Business Administration.
- Iseringhausen, Martin, 2020. "The time-varying asymmetry of exchange rate returns: A stochastic volatility – stochastic skewness model," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 275-292.
- C. A. Abanto-Valle & V. H. Lachos & Dipak K. Dey, 2015. "Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model," Methodology and Computing in Applied Probability, Springer, vol. 17(3), pages 721-738, September.
- Lee, Cheol Woo & Kang, Kyu Ho, 2023. "Estimating and testing skewness in a stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 445-467.
- Laura Garcia-Jorcano & Alfonso Novales, 2020.
"A dominance approach for comparing the performance of VaR forecasting models,"
Computational Statistics, Springer, vol. 35(3), pages 1411-1448, September.
- Laura Garcia-Jorcano & Alfonso Novales, 2019. "A dominance approach for comparing the performance of VaR forecasting models," Documentos de Trabajo del ICAE 2019-23, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
- Sakae Oya & Teruo Nakatsuma, 2021. "Identification in Bayesian Estimation of the Skewness Matrix in a Multivariate Skew-Elliptical Distribution," Papers 2108.04019, arXiv.org.
- Mengheng Li & Marcel Scharth, 2022.
"Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 285-301, January.
- Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
- Felicia Ramona Birău, 2012. "Stochastic Volatility Models For Financial Time Series Analysis," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 472-475, November.
- Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2017. "Creating Investment Scheme with State Space Modeling," CARF F-Series cf406, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
- Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Xiao Jiang & Saralees Nadarajah & Thomas Hitchen, 2024. "A Review of Generalized Hyperbolic Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 595-624, July.
- Omar Abbara & Mauricio Zevallos, 2022. "Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models," Econometrics, MDPI, vol. 11(1), pages 1-18, December.
- Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
- Jouchi Nakajima & Yasuhiro Omori, 2007.
"Leverage, heavy-tails and correlated jumps in stochastic volatility models,"
CIRJE F-Series
CIRJE-F-514, CIRJE, Faculty of Economics, University of Tokyo.
- Nakajima, Jouchi & Omori, Yasuhiro, 2009. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
Cited by:
- Bauwens, Luc & Rombouts, Jeroen V.K., 2012.
"On marginal likelihood computation in change-point models,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3415-3429.
- BAUWENS, Luc & ROMBOUTS, Jeroen, 2009. "On marginal likelihood computation in change-point models," LIDAM Discussion Papers CORE 2009061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Luc Bauwens & Jeroen V.K. Rombouts, 2009. "On Marginal Likelihood Computation in Change-point Models," Cahiers de recherche 0942, CIRPEE.
- BAUWENS, Luc & ROMBOUTS, Jeroen VK, 2012. "On marginal likelihood computation in change-point models," LIDAM Reprints CORE 2403, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
- Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
- Shang, Yuhuang & Liu, Lulu, 2017. "An extension of stochastic volatility model with mixed frequency information," Economics Letters, Elsevier, vol. 155(C), pages 144-148.
- Lux, Thomas & Morales-Arias, Leonardo, 2010. "Forecasting volatility under fractality, regime-switching, long memory and student-t innovations," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2676-2692, November.
- Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
- Makoto Takahashi & Yasuhiro Omori & Toshiaki Watanabe, 2007.
"Estimating Stochastic Volatility Models Using Daily Returns and Realized Volatility Simultaneously,"
CIRJE F-Series
CIRJE-F-515, CIRJE, Faculty of Economics, University of Tokyo.
- Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2009. "Estimating stochastic volatility models using daily returns and realized volatility simultaneously," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2404-2426, April.
- Willy Alanya & Gabriel Rodríguez, 2019.
"Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets,"
Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-18, March.
- Gabriel Rodriguez & Willy Alanya, 2016. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers 2016-413, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
- Angelos Alexopoulos & Petros Dellaportas & Omiros Papaspiliopoulos, 2019. "Bayesian prediction of jumps in large panels of time series data," Papers 1904.05312, arXiv.org, revised Apr 2021.
- Tsunehiro Ishihara & Yasuhiro Omori, 2009.
"Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors,"
CARF F-Series
CARF-F-198, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-746, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2009. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-700, CIRJE, Faculty of Economics, University of Tokyo.
- Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CARF F-Series CARF-F-221, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2016. "Volatility Forecasts Using Nonlinear Leverage Effects," Papers 1605.06482, arXiv.org, revised Dec 2017.
- Joshua C C Chan & Cody Y L Hsiao, 2013. "Estimation of Stochastic Volatility Models with Heavy Tails and Serial Dependence," CAMA Working Papers 2013-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Minheng Xiao, 2022. "Data-Driven Risk Measurement by SV-GARCH-EVT Model," Papers 2201.09434, arXiv.org, revised Dec 2024.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models," CIRJE F-Series CIRJE-F-738, CIRJE, Faculty of Economics, University of Tokyo.
- Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
- Audrone Virbickaite & Hedibert F. Lopes & Maria Concepción Ausín & Pedro Galeano, 2018.
"Particle Learning for Bayesian Semi-Parametric Stochastic Volatility Model,"
DEA Working Papers
88, Universitat de les Illes Balears, Departament d'Economía Aplicada.
- Audronė Virbickaitė & Hedibert F. Lopes & M. Concepción Ausín & Pedro Galeano, 2019. "Particle learning for Bayesian semi-parametric stochastic volatility model," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 1007-1023, October.
- Maria Kalli & Jim Griffin, 2015. "Flexible Modeling of Dependence in Volatility Processes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 102-113, January.
- Abdelhakim Aknouche, 2017. "Periodic autoregressive stochastic volatility," Statistical Inference for Stochastic Processes, Springer, vol. 20(2), pages 139-177, July.
- Nakajima, Jouchi & Omori, Yasuhiro, 2012.
"Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3690-3704.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution," Global COE Hi-Stat Discussion Paper Series gd09-124, Institute of Economic Research, Hitotsubashi University.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution," CARF F-Series CARF-F-215, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Jouchi Nakajima & Yasuhiro Omori, 2009. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's t-distribution," CARF F-Series CARF-F-199, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Jouchi Nakajima & Yasuhiro Omori, 2009. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution," CIRJE F-Series CIRJE-F-701, CIRJE, Faculty of Economics, University of Tokyo.
- Frédéric Karamé, 2018.
"A new particle filtering approach to estimate stochastic volatility models with Markov-switching,"
Post-Print
hal-02296093, HAL.
- Karamé, Frédéric, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Econometrics and Statistics, Elsevier, vol. 8(C), pages 204-230.
- Audrone Virbickaite & Hedibert F. Lopes, 2018. "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers 89, Universitat de les Illes Balears, Departament d'Economía Aplicada.
- Shinichiro Shirota & Takayuki Hizu & Yasuhiro Omori, 2013.
"Realized Stochastic Volatility with Leverage and Long Memory,"
CIRJE F-Series
CIRJE-F-880, CIRJE, Faculty of Economics, University of Tokyo.
- Shirota, Shinichiro & Hizu, Takayuki & Omori, Yasuhiro, 2014. "Realized stochastic volatility with leverage and long memory," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 618-641.
- Shinichiro Shirota & Takayuki Hizu & Yasuhiro Omori, 2012. "Realized stochastic volatility with leverage and long memory," CIRJE F-Series CIRJE-F-869, CIRJE, Faculty of Economics, University of Tokyo.
- Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
- Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
- Nakajima Jouchi, 2013. "Stochastic volatility model with regime-switching skewness in heavy-tailed errors for exchange rate returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 499-520, December.
- Xiao-Bin Liu & Yong Li, 2013. "Bayesian testing volatility persistence in stochastic volatility models with jumps," Quantitative Finance, Taylor & Francis Journals, vol. 14(8), pages 1415-1426, December.
- Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
- Raanju R. Sundararajan & Wagner Barreto‐Souza, 2023. "Student‐t stochastic volatility model with composite likelihood EM‐algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 125-147, January.
- Yanhui Xi & Hui Peng & Yemei Qin, 2016. "Modeling Financial Time Series Based on a Market Microstructure Model with Leverage Effect," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, February.
- Zhou, Yang & Wang, Xiaoxiao & Dong, Rebecca Kechen & Pu, Ruihui & Yue, Xiao-Guang, 2022. "Natural resources commodity prices volatility: Evidence from COVID-19 for the US economy," Resources Policy, Elsevier, vol. 78(C).
- Delatola, E.-I. & Griffin, J.E., 2013. "A Bayesian semiparametric model for volatility with a leverage effect," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 97-110.
- Arthur T. Rego & Thiago R. dos Santos, 2018. "Non-Gaussian Stochastic Volatility Model with Jumps via Gibbs Sampler," Papers 1809.01501, arXiv.org, revised Oct 2018.
- Darjus Hosszejni & Gregor Kastner, 2019. "Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage," Papers 1901.11491, arXiv.org, revised Nov 2019.
- Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Tak Kuen Siu, 2023. "Bayesian nonlinear expectation for time series modelling and its application to Bitcoin," Empirical Economics, Springer, vol. 64(1), pages 505-537, January.
- T. R. Santos, 2018. "A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach," Papers 1809.01489, arXiv.org.
- Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Watanabe, Toshiaki & Nakajima, Jouchi, 2023. "High-frequency realized stochastic volatility model," Discussion paper series HIAS-E-127, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Pan, Qunxing & Mei, Xiaowen & Gao, Tianqing, 2022. "Modeling dynamic conditional correlations with leverage effects and volatility spillover effects: Evidence from the Chinese and US stock markets affected by the recent trade friction," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
- Noriyuki Kunimoto & Kazuhiko Kakamu, 2021. "Is Bitcoin really a currency? A viewpoint of a stochastic volatility model," Papers 2111.15351, arXiv.org.
- Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
- Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005.
"Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies Undergoing Financial Distress,"
CIRJE F-Series
CIRJE-F-364, CIRJE, Faculty of Economics, University of Tokyo.
Cited by:
- Uchida, Hirofumi & Miyakawa, Daisuke & Hosono, Kaoru & Ono, Arito & Uchino, Taisuke & Uesugi, Iichiro, 2014.
"Natural Disaster and Natural Selection,"
HIT-REFINED Working Paper Series
10, Institute of Economic Research, Hitotsubashi University.
- Uchida, Hirofumi & Miyakawa, Daisuke & Hosono, Kaoru & Ono, Arito & Uchino, Taisuke & Uesugi, Iichiro, 2013. "Natural Disaster and Natural Selection," Working Paper Series 25, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
- UCHIDA Hirofumi & MIYAKAWA Daisuke & HOSONO Kaoru & ONO Arito & UCHINO Taisuke & UESUGI Iichiro, 2014. "Natural Disaster and Natural Selection," Discussion papers 14055, Research Institute of Economy, Trade and Industry (RIETI).
- Akiyoshi, Fumio & Kobayashi, Keiichiro, 2010. "Banking crisis and productivity of borrowing firms: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 22(3), pages 141-150, August.
- Andreas Stephan & Andriy Tsapin & Oleksandr Talavera, 2009.
"Why Do Firms Switch Their Main Bank?: Theory and Evidence from Ukraine,"
Discussion Papers of DIW Berlin
894, DIW Berlin, German Institute for Economic Research.
- Stephan, Andreas & Tsapin, Andriy & Talavera, Oleksandr, 2009. "Why Do Firms Switch Their Main Bank? - theory and evidence from Ukraine," Working Paper Series in Economics and Institutions of Innovation 180, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
- David Archer, 2006. "Implications of recent changes in banking for the conduct of monetary policy," BIS Papers chapters, in: Bank for International Settlements (ed.), The banking system in emerging economies: how much progress has been made?, volume 28, pages 123-51, Bank for International Settlements.
- Andreas Stephan & Oleksandr Talavera & Andriy Tsapin, 2011. "Main bank power, Switching Costs, and Firm Performance. Evidence from Ukraine," University of East Anglia Applied and Financial Economics Working Paper Series 026, School of Economics, University of East Anglia, Norwich, UK..
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2007. "The Role of Trade Credit for Small Firms : An Implication from Japan’s Banking Crisis," Finance Working Papers 22596, East Asian Bureau of Economic Research.
- Uchida, Hirofumi & Miyakawa, Daisuke & Hosono, Kaoru & Ono, Arito & Uchino, Taisuke & Uesugi, Iichiro, 2014.
"Natural Disaster and Natural Selection,"
HIT-REFINED Working Paper Series
10, Institute of Economic Research, Hitotsubashi University.
- Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005.
"Bank Health and Investment: An Analysis of Unlisted Companies in Japan,"
Bank of Japan Working Paper Series
05-E-5, Bank of Japan.
- Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005. "Bank Health and Investment: An Analysis of Unlisted Companies in Japan," CIRJE F-Series CIRJE-F-330, CIRJE, Faculty of Economics, University of Tokyo.
- Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005. "Bank Health and Investment: An Analysis of Unlisted Companies in Japan," CARF F-Series CARF-F-029, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
Cited by:
- Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005. "Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies Undergoing Financial Distress," CIRJE F-Series CIRJE-F-364, CIRJE, Faculty of Economics, University of Tokyo.
- Emmanuel De Veirman & Andrew T. Levin, 2012.
"When Did Firms Become More Different? Time-Varying Firm-Specific Volatility in Japan,"
CAMA Working Papers
2012-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- De Veirman, Emmanuel & Levin, Andrew T., 2012. "When did firms become more different? Time-varying firm-specific volatility in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 26(4), pages 578-601.
- Emmanuel De Veirman & Andrew Levin, 2012. "When Did Firms Become More Different? Time-Varying Firm-Specific Volatility in Japan," Working Papers 351, DNB.
- Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005. "Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies Undergoing Financial Distress (Subsequently published in "Journal of the Asia Pacific Economy" Vo.11, No.4, D," CARF F-Series CARF-F-042, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2008. "Impaired Bank Health and Default Risk ( Forthcoming in "Pacific-Basin Finance Journal". )," CARF F-Series CARF-F-122, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Shin-Ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2006. "Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies under Financial Distress," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 11(4), pages 482-501.
- Tsapin Andriy & Tsapin Oleksandr, 2014. "Corporate Investment and Financial Crisis: Can Under- and Overinvestment Be Mitigated by Banks in an Emerging Market?," EERC Working Paper Series 14/04e, EERC Research Network, Russia and CIS.
- Akiyoshi, Fumio & Kobayashi, Keiichiro, 2010. "Banking crisis and productivity of borrowing firms: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 22(3), pages 141-150, August.
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2008.
"Impaired Bank Health and Default Risk,"
CIRJE F-Series
CIRJE-F-564, CIRJE, Faculty of Economics, University of Tokyo.
- Fukuda, Shin-ichi & Kasuya, Munehisa & Akashi, Kentaro, 2009. "Impaired bank health and default risk," Pacific-Basin Finance Journal, Elsevier, vol. 17(2), pages 145-162, April.
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2005. "Impaired Bank Health and Default Risk," Bank of Japan Working Paper Series 05-E-13, Bank of Japan.
- Imai, Kentaro, 2016. "A panel study of zombie SMEs in Japan: Identification, borrowing and investment behavior," Journal of the Japanese and International Economies, Elsevier, vol. 39(C), pages 91-107.
- Kazuo Ogawa, 2006. "Comment: What Caused Fixed Investment To Stagnate During The 1990s In Japan? Evidence From Panel Data Of Listed Companies," The Japanese Economic Review, Japanese Economic Association, vol. 57(2), pages 307-309, June.
- Yasuhiro Omori & Siddhartha Chib & Neil Shephard & Jouchi Nakajima, 2004.
"Stochastic volatility with leverage: fast likelihood inference,"
Economics Papers
2004-W19, Economics Group, Nuffield College, University of Oxford.
- Neil Shephard & Yashurio Omori & Faculty of Economics & University of Tokyo & Siddhartha Chib & Olin School of Business & Washington University & Jouchi Nakajima & Faculty of Economics & University of, 2004. "Stochastic volatility with leverage: fast likelihood inference," Economics Series Working Papers 2004-FE-16, University of Oxford, Department of Economics.
- Yasuhiro Omori & Siddhartha Chib & Neil Shephard & Jouchi Nakajima, 2004. "Stochastic Volatility with Leverage: Fast Likelihood Inference," CIRJE F-Series CIRJE-F-297, CIRJE, Faculty of Economics, University of Tokyo.
Cited by:
- Yuriy Kitsul & Jonathan H. Wright, 2012.
"The Economics of Options-Implied Inflation Probability Density Functions,"
Economics Working Paper Archive
600, The Johns Hopkins University,Department of Economics.
- Jonathan Wright & Yuriy Kitsul, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," 2012 Meeting Papers 174, Society for Economic Dynamics.
- Yuriy Kitsul & Jonathan H. Wright, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," NBER Working Papers 18195, National Bureau of Economic Research, Inc.
- Kitsul, Yuriy & Wright, Jonathan H., 2013. "The economics of options-implied inflation probability density functions," Journal of Financial Economics, Elsevier, vol. 110(3), pages 696-711.
- Hans J. Skaug & Jun Yu, 2007.
"Automated Likelihood Based Inference for Stochastic Volatility Models,"
Working Papers
CoFie-01-2007, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Hans J. Skaug & Jun Yu, 2009. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers 15-2009, Singapore Management University, School of Economics.
- Jun Yu, 2007. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers 01-2007, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Toshitaka Sekine, 2006. "Time-varying exchange rate pass-through: experiences of some industrial countries," BIS Working Papers 202, Bank for International Settlements.
- Fruhwirth-Schnatter, Sylvia & Fruhwirth, Rudolf, 2007. "Auxiliary mixture sampling with applications to logistic models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3509-3528, April.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014.
"Matrix Exponential Stochastic Volatility with Cross Leverage,"
CIRJE F-Series
CIRJE-F-932, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-938, CIRJE, Faculty of Economics, University of Tokyo.
- Ishihara, Tsunehiro & Omori, Yasuhiro & Asai, Manabu, 2016. "Matrix exponential stochastic volatility with cross leverage," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 331-350.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2011. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
- Fulvia Focker & Umberto Triacca, 2006. "A new proxy of the average volatility of a basket of returns: A Monte Carlo study," Economics Bulletin, AccessEcon, vol. 3(15), pages 1-14.
Articles
- Takuji Fueki & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2021.
"Identifying oil price shocks and their consequences: The role of expectations in the crude oil market,"
International Finance, Wiley Blackwell, vol. 24(1), pages 53-76, April.
See citations under working paper version above.
- Takuji Fueki & Hiroka Higashi & Naoto Higashio & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2018. "Identifying oil price shocks and their consequences: the role of expectations in the crude oil market," BIS Working Papers 725, Bank for International Settlements.
- Jouchi Nakajima, 2020.
"Skew selection for factor stochastic volatility models,"
Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(4), pages 582-601, March.
Cited by:
- Roman V. Ivanov, 2023. "On the Stochastic Volatility in the Generalized Black-Scholes-Merton Model," Risks, MDPI, vol. 11(6), pages 1-23, June.
- Igor Ferreira Batista Martins & Hedibert Freitas Lopes, 2023. "Stochastic volatility models with skewness selection," Papers 2312.00282, arXiv.org.
- Nakajima, Jouchi, 2020.
"The role of household debt heterogeneity on consumption: Evidence from Japanese household data,"
Economic Analysis and Policy, Elsevier, vol. 65(C), pages 186-197.
See citations under working paper version above.
- Jouchi Nakajima, 2018. "The role of household debt heterogeneity on consumption: Evidence from Japanese household data," BIS Working Papers 736, Bank for International Settlements.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020.
"Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1092-1110, July.
See citations under working paper version above.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Fukuda, Shin-ichi & Kasuya, Munehisa & Nakajima, Jouchi, 2018.
"The role of corporate governance in Japanese unlisted companies,"
Japan and the World Economy, Elsevier, vol. 47(C), pages 27-39.
See citations under working paper version above.
- Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2018. "The Role of Corporate Governance in Japanese Unlisted Companies," CIRJE F-Series CIRJE-F-1081, CIRJE, Faculty of Economics, University of Tokyo.
- Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2018.
"The natural yield curve: its concept and measurement,"
Empirical Economics, Springer, vol. 55(2), pages 551-572, September.
See citations under working paper version above.
- Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2015. "The natural yield curve: its concept and measurement," Bank of Japan Working Paper Series 15-E-5, Bank of Japan.
- Kaihatsu, Sohei & Nakajima, Jouchi, 2018.
"Has trend inflation shifted?: An empirical analysis with an equally-spaced regime-switching model,"
Economic Analysis and Policy, Elsevier, vol. 59(C), pages 69-83.
Cited by:
- Niwa, Hidekazu, 2024. "A fiscal theory of central bank’s solvency: Perils of the quantitative and qualitative monetary easing," Japan and the World Economy, Elsevier, vol. 70(C).
- Behera, Harendra Kumar & Patra, Michael Debabrata, 2022. "Measuring trend inflation in India," Journal of Asian Economics, Elsevier, vol. 80(C).
- NAKAJIMA, Jouchi & SUDO, Nao & HOGEN, Yoshihiko & TAKIZUKA, Yasutaka, 2023. "On the estimation of the natural yield curve," Discussion Paper Series 753, Institute of Economic Research, Hitotsubashi University.
- NAKAJIMA, Jouchi, 2023. "Estimation of firms' inflation expectations using the survey DI," Discussion Paper Series 749, Institute of Economic Research, Hitotsubashi University.
- Kosuke Aoki & Ko Munakata & Nao Sudo, 2019. "Prolonged Low Interest Rates and Banking Stability," IMES Discussion Paper Series 19-E-21, Institute for Monetary and Economic Studies, Bank of Japan.
- Takatoshi Ito, 2021. "An Assessment of Abenomics: Evolution and Achievements," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(2), pages 190-219, July.
- Masahiko Shibamoto, 2023. "Inflation, Business Cycle, and Monetary Policy: The Role of Inflationary Pressure," Discussion Paper Series DP2023-04, Research Institute for Economics & Business Administration, Kobe University.
- Ryuzo Miyao & Tatsuyoshi Okimoto, 2020. "Regime shifts in the effects of Japan’s unconventional monetary policies," Manchester School, University of Manchester, vol. 88(6), pages 749-772, December.
- Yui Kishaba & Tatsushi Okuda, 2023. "The Slope of the Phillips Curve for Service Prices in Japan: Regional Panel Data Approach," Bank of Japan Working Paper Series 23-E-8, Bank of Japan.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2017.
"Bayesian modeling of dynamic extreme values: extension of generalized extreme value distributions with latent stochastic processes,"
Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1248-1268, May.
See citations under working paper version above.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
- Nakajima, Jouchi & Watanabe, Toshiaki, 2017.
"Econometric Analysis of Japanese Exports Using a Time-Varying Parameter Vector Autoregressive Model,"
Economic Review, Hitotsubashi University, vol. 68(3), pages 237-249, July.
Cited by:
- Yosuke Okazaki & Nao Sudo, 2018. "Natural Rate of Interest in Japan -- Measuring its size and identifying drivers based on a DSGE model --," Bank of Japan Working Paper Series 18-E-6, Bank of Japan.
- Jouchi Nakajima, 2017.
"Bayesian analysis of multivariate stochastic volatility with skew return distribution,"
Econometric Reviews, Taylor & Francis Journals, vol. 36(5), pages 546-562, May.
Cited by:
- Guanyu Hu & Ming-Hui Chen & Nalini Ravishanker, 2023. "Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models," Computational Statistics, Springer, vol. 38(2), pages 845-869, June.
- Kurose, Yuta & Omori, Yasuhiro, 2020. "Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity," Econometrics and Statistics, Elsevier, vol. 13(C), pages 46-68.
- Anders Nõu & Darya Lapitskaya & Mustafa Hakan Eratalay & Rajesh Sharma, 2021. "Predicting Stock Return And Volatility With Machine Learning And Econometric Models: A Comparative Case Study Of The Baltic Stock Market," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 135, Faculty of Economics and Business Administration, University of Tartu (Estonia).
- Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024.
"Bayesian forecasting in economics and finance: A modern review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
- Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
- Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
- Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
- Sakae Oya & Teruo Nakatsuma, 2021. "Identification in Bayesian Estimation of the Skewness Matrix in a Multivariate Skew-Elliptical Distribution," Papers 2108.04019, arXiv.org.
- Watanabe, Toshiaki & Nakajima, Jouchi, 2023. "High-frequency realized stochastic volatility model," Discussion paper series HIAS-E-127, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Kimura Takeshi & Nakajima Jouchi, 2016.
"Identifying conventional and unconventional monetary policy shocks: a latent threshold approach,"
The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 277-300, January.
See citations under working paper version above.
- Takeshi Kimura & Jouchi Nakajima, 2013. "Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach," Bank of Japan Working Paper Series 13-E-7, Bank of Japan.
- Koichiro Kamada & Jouchi Nakajima, 2014.
"On the reliability of Japanese inflation expectations using purchasing power parity,"
Economic Analysis and Policy, Elsevier, vol. 44(3), pages 259-265.
See citations under working paper version above.
- Koichiro Kamada & Jouchi Nakajima, 2013. "On the Reliability of Japanese Inflation Expectations Using Purchasing Power Parity," Bank of Japan Working Paper Series 13-E-13, Bank of Japan.
- Zhou, Xiaocong & Nakajima, Jouchi & West, Mike, 2014.
"Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models,"
International Journal of Forecasting, Elsevier, vol. 30(4), pages 963-980.
Cited by:
- Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
- Florian Huber & Gregor Kastner & Martin Feldkircher, 2016.
"Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models,"
Papers
1607.04532, arXiv.org, revised Jul 2018.
- Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Papers wuwp235, Vienna University of Economics and Business, Department of Economics.
- Florian Huber & Gregor Kastner & Martin Feldkircher, 2019. "Should I stay or should I go? A latent threshold approach to large‐scale mixture innovation models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 621-640, August.
- Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Paper Series 235, WU Vienna University of Economics and Business.
- Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2018. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Working Papers in Economics 2018-5, University of Salzburg.
- Hui ‘Fox’ Ling & Christian Franzen, 2017. "Online learning of time-varying stochastic factor structure by variational sequential Bayesian factor analysis," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1277-1304, August.
- Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in dairy markets," Papers 2104.12707, arXiv.org.
- Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018.
"Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies,"
Working Paper
2018/10, Norges Bank.
- Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019. "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
- Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers 18-076/III, Tinbergen Institute.
- Gregor Kastner, 2016.
"Sparse Bayesian time-varying covariance estimation in many dimensions,"
Papers
1608.08468, arXiv.org, revised Nov 2017.
- Kastner, Gregor, 2019. "Sparse Bayesian time-varying covariance estimation in many dimensions," Journal of Econometrics, Elsevier, vol. 210(1), pages 98-115.
- Niyati Bhanja & Samia Nasreen & Arif Billah Dar & Aviral Kumar Tiwari, 2022. "Connectedness in International Crude Oil Markets," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 227-262, January.
- Gunawan, David & Kohn, Robert & Nott, David, 2021. "Variational Bayes approximation of factor stochastic volatility models," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1355-1375.
- Leif Anders Thorsrud, 2016.
"Nowcasting using news topics. Big Data versus big bank,"
Working Paper
2016/20, Norges Bank.
- Leif Anders Thorsrud, 2016. "Nowcasting using news topics Big Data versus big bank," Working Papers No 6/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Ajab Khan, 2024. "Nexus Between Discount Rate and Industrial Performance," Global Business Review, International Management Institute, vol. 25(6), pages 1590-1602, December.
- Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2016. "A Return Prediction-based Investment with Particle Filtering and Anomaly Detection," CARF F-Series CARF-F-391, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Anthony N. Rezitis & Gregor Kastner, 2021.
"On the joint volatility dynamics in international dairy commodity markets,"
Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(3), pages 704-728, July.
- Rezitis, Anthony N. & Kastner, Gregor, 2021. "On the joint volatility dynamics in international dairy commodity markets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 60(2), January.
- Chaim, Pedro & Laurini, Márcio P., 2019. "Nonlinear dependence in cryptocurrency markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 32-47.
- Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024.
"Bayesian forecasting in economics and finance: A modern review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
- Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
- Yuta Kurose & Yasuhiro Omori, 2016.
"Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity,"
CIRJE F-Series
CIRJE-F-1024, CIRJE, Faculty of Economics, University of Tokyo.
- Yuta Kurose & Yasuhiro Omori, 2018. "Multiple-lock Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1075, CIRJE, Faculty of Economics, University of Tokyo.
- Yuta Kurose & Yasuhiro Omori, 2016. "Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1022, CIRJE, Faculty of Economics, University of Tokyo.
- Vegard H ghaug Larsen & Leif Anders Thorsrud, 2018.
"Business cycle narratives,"
Working Papers
No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Vegard H. Larsen & Leif Anders Thorsrud, 2019. "Business Cycle Narratives," CESifo Working Paper Series 7468, CESifo.
- Vegard H. Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Paper 2018/3, Norges Bank.
- Adriano S. Koshiyama & Nikan Firoozye & Philip Treleaven, 2019. "A derivatives trading recommendation system: The mid‐curve calendar spread case," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(2), pages 83-103, April.
- Leung, Dennis & Drton, Mathias, 2016. "Order-invariant prior specification in Bayesian factor analysis," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 60-66.
- Mike West, 2020. "Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 1-31, February.
- Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
- Leif Anders Thorsrud, 2016.
"Words are the new numbers: A newsy coincident index of business cycles,"
Working Papers
No 4/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Leif Anders Thorsrud, 2016. "Words are the new numbers: A newsy coincident index of business cycles," Working Paper 2016/21, Norges Bank.
- Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
- Zhenlong Jiang & Ran Ji & Kuo-Chu Chang, 2020. "A Machine Learning Integrated Portfolio Rebalance Framework with Risk-Aversion Adjustment," JRFM, MDPI, vol. 13(7), pages 1-20, July.
- Wilms, Ines & Croux, Christophe, 2016. "Forecasting using sparse cointegration," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1256-1267.
- McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
- Gregor Kastner & Sylvia Fruhwirth-Schnatter & Hedibert Freitas Lopes, 2016. "Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models," Papers 1602.08154, arXiv.org, revised Jul 2017.
- Gillen, Benjamin J., 2014. "An empirical Bayesian approach to stein-optimal covariance matrix estimation," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 402-420.
- Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
- Adriano Soares Koshiyama & Nick Firoozye & Philip Treleaven, 2018. "A Machine Learning-based Recommendation System for Swaptions Strategies," Papers 1810.02125, arXiv.org.
- Nakajima Jouchi, 2013.
"Stochastic volatility model with regime-switching skewness in heavy-tailed errors for exchange rate returns,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 499-520, December.
Cited by:
- Chen, Rongda & Zhou, Hanxian & Yu, Lean & Jin, Chenglu & Zhang, Shuonan, 2021. "An efficient method for pricing foreign currency options," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
- Lhuissier Stéphane, 2022.
"Financial Conditions and Macroeconomic Downside Risks in the Euro Area,"
Working papers
863, Banque de France.
- Lhuissier, Stéphane, 2022. "Financial conditions and macroeconomic downside risks in the euro area," European Economic Review, Elsevier, vol. 143(C).
- Stéphane Lhuissier, 2019. "Bayesian Inference for Markov-switching Skewed Autoregressive Models," Working papers 726, Banque de France.
- Iseringhausen, Martin, 2024.
"A time-varying skewness model for Growth-at-Risk,"
International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
- Martin Iseringhausen, 2021. "A time-varying skewness model for Growth-at-Risk," Working Papers 49, European Stability Mechanism.
- Hainaut, Donatien & Moraux, Franck, 2019.
"A switching self-exciting jump diffusion process for stock prices,"
LIDAM Reprints ISBA
2019017, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hainaut, Donatien & Moraux, Franck, 2018. "A switching self-exciting jump diffusion process for stock prices," LIDAM Discussion Papers ISBA 2018013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Donatien Hainaut & Franck Moraux, 2019. "A switching self-exciting jump diffusion process for stock prices," Annals of Finance, Springer, vol. 15(2), pages 267-306, June.
- Donatien Hainaut & Franck Moraux, 2019. "A switching self-exciting jump diffusion process for stock prices," Post-Print halshs-01909772, HAL.
- Jeffrey Chu & Saralees Nadarajah & Stephen Chan, 2015. "Statistical Analysis of the Exchange Rate of Bitcoin," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-27, July.
- Zhen Fang & Zhang Jin E., 2020. "Dissecting skewness under affine jump-diffusions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-19, September.
- Martin Iseringhausen, 2018.
"The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility – Stochastic Skewness Model,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
18/944, Ghent University, Faculty of Economics and Business Administration.
- Iseringhausen, Martin, 2020. "The time-varying asymmetry of exchange rate returns: A stochastic volatility – stochastic skewness model," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 275-292.
- Saldaña-Zepeda, Dayna P. & Velasco-Cruz, Ciro & Torres-Preciado, Víctor H., 2020. "Mexican peso-USD exchange rate: A switching linear dynamical model application," International Economics, Elsevier, vol. 162(C), pages 80-91.
- Carlos A. Abanto-Valle & Hernán B. Garrafa-Aragón, 2019. "Threshold Stochastic Volatility Models with Heavy Tails:A Bayesian Approach," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 32-53.
- Jouchi Nakajima & Mike West, 2013.
"Bayesian Analysis of Latent Threshold Dynamic Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
Cited by:
- Liu, Dayu & Xu, Ning & Zhao, Tingting & Song, Yang, 2018. "Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 73(C), pages 45-54.
- Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
- Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
- Kim, Hea-Jung & Choi, Taeryon & Jo, Seongil, 2016. "Bayesian factor analysis with uncertain functional constraints about factor loadings," Journal of Multivariate Analysis, Elsevier, vol. 144(C), pages 110-128.
- Korobilis, Dimitris & Koop, Gary, 2020.
"Bayesian dynamic variable selection in high dimensions,"
MPRA Paper
100164, University Library of Munich, Germany.
- Gary Koop & Dimitris Korobilis, 2020. "Bayesian dynamic variable selection in high dimensions," Working Papers 2020_11, Business School - Economics, University of Glasgow.
- Gary Koop & Dimitris Korobilis, 2018. "Bayesian dynamic variable selection in high dimensions," Papers 1809.03031, arXiv.org, revised May 2020.
- Gary Koop & Dimitris Korobilis, 2023. "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1047-1074, August.
- Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2020.
"Deep Dynamic Factor Models,"
Papers
2007.11887, arXiv.org, revised May 2023.
- Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2023. "Deep Dynamic Factor Models," Working Papers 2023-08, Center for Research in Economics and Statistics.
- Koop, Gary & Korobilis, Dimitris, 2018.
"Variational Bayes inference in high-dimensional time-varying parameter models,"
MPRA Paper
87972, University Library of Munich, Germany.
- Gary Koop & Dimitris Korobilis, 2018. "Variational Bayes inference in high-dimensional time-varying parameter models," Working Paper series 18-31, Rimini Centre for Economic Analysis.
- Korobilis, Dimitris & Koop, Gary, 2018. "Variational Bayes inference in high-dimensional time-varying parameter models," Essex Finance Centre Working Papers 22665, University of Essex, Essex Business School.
- Che, Ming & Zhu, Zixiang & Li, Yujia, 2023. "Geopolitical risk and economic policy uncertainty: Different roles in China's financial cycle," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Eric Eisenstat & Joshua C.C. Chan & Rodney W. Strachan, 2014.
"Stochastic Model Specification Search for Time-Varying Parameter VARs,"
CAMA Working Papers
2014-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Eric Eisenstat & Joshua C.C. Chan & Rodney Strachan, 2014. "Stochastic Model Specification Search for Time-Varying Parameter VARs," Working Paper series 44_14, Rimini Centre for Economic Analysis.
- Eric Eisenstat & Joshua C. C. Chan & Rodney W. Strachan, 2016. "Stochastic Model Specification Search for Time-Varying Parameter VARs," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1638-1665, December.
- Dimitris Korobilis & Kenichi Shimizu, 2021.
"Bayesian Approaches to Shrinkage and Sparse Estimation,"
Working Papers
2021_19, Business School - Economics, University of Glasgow.
- Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers 2112.11751, arXiv.org.
- Korobilis, Dimitris & Shimizu, Kenichi, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," MPRA Paper 111631, University Library of Munich, Germany.
- Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(4), pages 230-354, June.
- Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Paper series 22-02, Rimini Centre for Economic Analysis.
- Niko Hauzenberger, 2020. "Flexible Mixture Priors for Large Time-varying Parameter Models," Papers 2006.10088, arXiv.org, revised Nov 2020.
- Henrike Michaelis & Sebastian Watzka, 2014.
"Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?,"
CESifo Working Paper Series
4901, CESifo.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
- Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Munich Reprints in Economics 55051, University of Munich, Department of Economics.
- Dufays, Arnaud & Rombouts, Jeroen V.K., 2020. "Relevant parameter changes in structural break models," Journal of Econometrics, Elsevier, vol. 217(1), pages 46-78.
- Korobilis, D, 2017.
"Forecasting with many predictors using message passing algorithms,"
Essex Finance Centre Working Papers
19565, University of Essex, Essex Business School.
- Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
- Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
- Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2016.
"Cholesky Realized Stochastic Volatility Model,"
CIRJE F-Series
CIRJE-F-1019, CIRJE, Faculty of Economics, University of Tokyo.
- Shirota, Shinichiro & Omori, Yasuhiro & F. Lopes, Hedibert. & Piao, Haixiang, 2017. "Cholesky realized stochastic volatility model," Econometrics and Statistics, Elsevier, vol. 3(C), pages 34-59.
- Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2015. "Cholesky Realized Stochastic Volatility Model," CIRJE F-Series CIRJE-F-979, CIRJE, Faculty of Economics, University of Tokyo.
- Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
- Sui, Yuelei & Holan, Scott H. & Yang, Wen-Hsi, 2023. "Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
- Vegard H. Larsen & Leif Anders Thorsrud, 2015. "The Value of News," Working Papers No 6/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Leif Anders Thorsrud, 2016.
"Nowcasting using news topics. Big Data versus big bank,"
Working Paper
2016/20, Norges Bank.
- Leif Anders Thorsrud, 2016. "Nowcasting using news topics Big Data versus big bank," Working Papers No 6/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Dimitris Korobilis, 2020.
"High-dimensional macroeconomic forecasting using message passing algorithms,"
Papers
2004.11485, arXiv.org.
- Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
- Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
- Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
- Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Papers 2019_07, Business School - Economics, University of Glasgow.
- Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
- Daniele Bianchi & Kenichiro McAlinn, 2018. "Large-Scale Dynamic Predictive Regressions," Papers 1803.06738, arXiv.org.
- Takahiro Yabe & Yunchang Zhang & Satish Ukkusuri, 2020. "Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach," Papers 2004.11121, arXiv.org.
- Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019.
"News-driven inflation expectations and information rigidities,"
Working Paper
2019/5, Norges Bank.
- Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
- Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Papers No 03/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Hacioglu, Sinem & Tuzcuoglu, Kerem, 2016. "Interpreting the latent dynamic factors by threshold FAVAR model," Bank of England working papers 622, Bank of England.
- Gustavo Romero Cardoso & Marcio Issao Nakane, 2024. "What’s in a headline? News impact on the Brazilian economy," Working Papers, Department of Economics 2024_12, University of São Paulo (FEA-USP).
- Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
- Joshua C.C. Chan, 2015.
"Specification tests for time-varying parameter models with stochastic volatility,"
CAMA Working Papers
2015-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Joshua C. C. Chan, 2018. "Specification tests for time-varying parameter models with stochastic volatility," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 807-823, September.
- Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
- Zijian Zeng & Meng Li, 2020. "Bayesian Median Autoregression for Robust Time Series Forecasting," Papers 2001.01116, arXiv.org, revised Dec 2020.
- Joshua C. C. Chan & Eric Eisenstat, 2018.
"Bayesian model comparison for time‐varying parameter VARs with stochastic volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(4), pages 509-532, June.
- Joshua C.C. Chan & Eric Eisenstat, 2015. "Bayesian model comparison for time-varying parameter VARs with stochastic volatility," CAMA Working Papers 2015-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Martin Feldkircher & Florian Huber & Isabella Moder, 2016. "Modeling the evolution of monetary policy rules in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 8-27.
- Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
- Vegard H ghaug Larsen & Leif Anders Thorsrud, 2018.
"Business cycle narratives,"
Working Papers
No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Vegard H. Larsen & Leif Anders Thorsrud, 2019. "Business Cycle Narratives," CESifo Working Paper Series 7468, CESifo.
- Vegard H. Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Paper 2018/3, Norges Bank.
- Kenichiro McAlinn, 2021. "Mixed‐frequency Bayesian predictive synthesis for economic nowcasting," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1143-1163, November.
- Siem Jan Koopman & Geert Mesters, 2014.
"Empirical Bayes Methods for Dynamic Factor Models,"
Tinbergen Institute Discussion Papers
14-061/III, Tinbergen Institute.
- S. J. Koopman & G. Mesters, 2017. "Empirical Bayes Methods for Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 486-498, July.
- Sergei Seleznev, 2019. "Truncated priors for tempered hierarchical Dirichlet process vector autoregression," Bank of Russia Working Paper Series wps47, Bank of Russia.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019.
"Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting,"
Working Paper
2019/2, Norges Bank.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1092-1110, July.
- Florian Huber & Gary Koop & Michael Pfarrhofer, 2020. "Bayesian Inference in High-Dimensional Time-varying Parameter Models using Integrated Rotated Gaussian Approximations," Papers 2002.10274, arXiv.org.
- Leung, Dennis & Drton, Mathias, 2016. "Order-invariant prior specification in Bayesian factor analysis," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 60-66.
- Mike West, 2020. "Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 1-31, February.
- Leif Anders Thorsrud, 2016.
"Words are the new numbers: A newsy coincident index of business cycles,"
Working Papers
No 4/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Leif Anders Thorsrud, 2016. "Words are the new numbers: A newsy coincident index of business cycles," Working Paper 2016/21, Norges Bank.
- Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
- Chuanglian Chen & Xiaobin Liu & Jun Yu & Tao Zeng, 2024. "The Time-varying Zone-like and Asymmetric Preference of Central Banks: Evidence from China," Working Papers 202421, University of Macau, Faculty of Business Administration.
- Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
- James Sampi, 2016. "High Dimensional Factor Models: An Empirical Bayes Approach," Working Papers 75, Peruvian Economic Association.
- Schepp, Zoltán & Abaligeti, Gallusz & Németh, Kristóf, 2018. "Időben változó Taylor-szabály a hazai monetáris politika jellemzésére [A time-varying parameter Taylor rule for Hungarian monetary policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 24-43.
- McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
- Hauber, Philipp, 2022. "Real-time nowcasting with sparse factor models," EconStor Preprints 251551, ZBW - Leibniz Information Centre for Economics.
- Kimura Takeshi & Nakajima Jouchi, 2016.
"Identifying conventional and unconventional monetary policy shocks: a latent threshold approach,"
The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 277-300, January.
- Takeshi Kimura & Jouchi Nakajima, 2013. "Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach," Bank of Japan Working Paper Series 13-E-7, Bank of Japan.
- Rodríguez, Gabriel & Vassallo, Renato & Castillo B., Paul, 2023. "Effects of external shocks on macroeconomic fluctuations in Pacific Alliance countries," Economic Modelling, Elsevier, vol. 124(C).
- Bruno P. C. Levy & Hedibert F. Lopes, 2021. "Dynamic Ordering Learning in Multivariate Forecasting," Papers 2101.04164, arXiv.org, revised Nov 2021.
- Zeng, Zijian & Li, Meng, 2021. "Bayesian median autoregression for robust time series forecasting," International Journal of Forecasting, Elsevier, vol. 37(2), pages 1000-1010.
- Eraslan, Sercan & Schröder, Maximilian, 2019. "Nowcasting GDP with a large factor model space," Discussion Papers 41/2019, Deutsche Bundesbank.
- Bakerman, Jordan & Pazdernik, Karl & Korkmaz, Gizem & Wilson, Alyson G., 2022. "Dynamic logistic regression and variable selection: Forecasting and contextualizing civil unrest," International Journal of Forecasting, Elsevier, vol. 38(2), pages 648-661.
- Jouchi Nakajima, 2020. "Discussion of “Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions”," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 33-36, February.
- Junli Cheng & Feng Lin, 2022. "The Dynamic Effects of Urban–Rural Income Inequality on Sustainable Economic Growth under Urbanization and Monetary Policy in China," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
- Eraslan, Sercan & Schröder, Maximilian, 2023. "Nowcasting GDP with a pool of factor models and a fast estimation algorithm," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1460-1476.
- Felix Abramovich & Vadim Grinshtein, 2013. "Estimation of a sparse group of sparse vectors," Biometrika, Biometrika Trust, vol. 100(2), pages 355-370.
- Gabriel Rodríguez & Renato Vassallo, 2022. "Time Evolution of External Shocks on Macroeconomic Fluctuations in Pacific Alliance Countries: Empirical Application using TVP-VAR-SV Models," Documentos de Trabajo / Working Papers 2022-508, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Lopes, Hedibert F. & McCulloch, Robert E. & Tsay, Ruey S., 2022. "Parsimony inducing priors for large scale state–space models," Journal of Econometrics, Elsevier, vol. 230(1), pages 39-61.
- Fu, Bowen, 2020. "Is the slope of the Phillips curve time-varying? Evidence from unobserved components models," Economic Modelling, Elsevier, vol. 88(C), pages 320-340.
- Joshua C.C. Chan & Eric Eisenstat, 2018.
"Comparing hybrid time-varying parameter VARs,"
CAMA Working Papers
2018-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Chan, Joshua C.C. & Eisenstat, Eric, 2018. "Comparing hybrid time-varying parameter VARs," Economics Letters, Elsevier, vol. 171(C), pages 1-5.
- Zhou, Xiaocong & Nakajima, Jouchi & West, Mike, 2014. "Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 963-980.
- Valentina Aprigliano, 2020. "A large Bayesian VAR with a block‐specific shrinkage: A forecasting application for Italian industrial production," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1291-1304, December.
- Daniel Felix Ahelegbey & Luis Carvalho & Eric D. Kolaczyk, 2020. "A Bayesian Covariance Graph And Latent Position Model For Multivariate Financial Time Series," DEM Working Papers Series 181, University of Pavia, Department of Economics and Management.
- Nakajima, Jouchi & Kunihama, Tsuyoshi & Omori, Yasuhiro & Frühwirth-Schnatter, Sylvia, 2012.
"Generalized extreme value distribution with time-dependence using the AR and MA models in state space form,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3241-3259.
See citations under working paper version above.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruhwirth-Schnatter, 2011. "Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form," CIRJE F-Series CIRJE-F-782, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruhwirth-Schnatter, 2009. "Generalized extreme value distribution with time-dependence using the AR and MA models in state space form," CIRJE F-Series CIRJE-F-689, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruwirth-Scnatter, 2009. "Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form," IMES Discussion Paper Series 09-E-32, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima, Jouchi & Omori, Yasuhiro, 2012.
"Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3690-3704.
See citations under working paper version above.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution," Global COE Hi-Stat Discussion Paper Series gd09-124, Institute of Economic Research, Hitotsubashi University.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution," CARF F-Series CARF-F-215, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Jouchi Nakajima & Yasuhiro Omori, 2009. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's t-distribution," CARF F-Series CARF-F-199, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Jouchi Nakajima & Yasuhiro Omori, 2009. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution," CIRJE F-Series CIRJE-F-701, CIRJE, Faculty of Economics, University of Tokyo.
- Nakajima, Jouchi & Watanabe, Toshiaki, 2012.
"Time-Varying Vector Autoregressive Modei-A Survey with the Application to the Japanese Macroeconomic Data-,"
Economic Review, Hitotsubashi University, vol. 63(3), pages 193-208, July.
See citations under working paper version above.
- Jouchi Nakajima & Toshiaki Watanabe, 2012. "Time-Varying Vector Autoregressive Model - A Survey with the Application to the Japanese Macroeconomic Data -," Global COE Hi-Stat Discussion Paper Series gd12-232, Institute of Economic Research, Hitotsubashi University.
- Jouchi Nakajima & Mike West, 2012.
"Dynamic Factor Volatility Modeling: A Bayesian Latent Threshold Approach,"
Journal of Financial Econometrics, Oxford University Press, vol. 11(1), pages 116-153, December.
Cited by:
- Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
- Víctor Peña & Kaoru Irie, 2022. "On the Relationship between Uhlig Extended and beta‐Bartlett Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 147-153, January.
- Tao Sun, 2024. "Bundle Choice Model with Endogenous Regressors: An Application to Soda Tax," Papers 2412.05794, arXiv.org.
- Jouchi Nakajima, 2012.
"Bayesian Analysis Of Generalized Autoregressive Conditional Heteroskedasticity And Stochastic Volatility: Modeling Leverage, Jumps And Heavy‐Tails For Financial Time Series,"
The Japanese Economic Review, Japanese Economic Association, vol. 63(1), pages 81-103, March.
Cited by:
- Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana, 2020.
"Uncertainty Shocks and Business Cycle Research,"
NBER Working Papers
26768, National Bureau of Economic Research, Inc.
- Jesus Fernandez-Villaverde & Pablo Guerron-Quintana, 2020. "Uncertainty Shocks and Business Cycle Research," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 118-166, August.
- Fernández-Villaverde, Jesús, 2020. "Uncertainty Shocks and Business Cycle Research," CEPR Discussion Papers 14398, C.E.P.R. Discussion Papers.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024.
"A note on the determinants of NFTs returns,"
Working Paper series
24-07, Rimini Centre for Economic Analysis.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Discussion Paper Series 2024_02, Department of Economics, University of Macedonia, revised Feb 2024.
- Willy Alanya & Gabriel Rodríguez, 2019.
"Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets,"
Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-18, March.
- Gabriel Rodriguez & Willy Alanya, 2016. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers 2016-413, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2024.
"A Bayesian approach for the determinants of bitcoin returns,"
International Review of Financial Analysis, Elsevier, vol. 91(C).
- Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "A Bayesian approach for the determinants of bitcoin returns," Working Papers 2302, University of Guelph, Department of Economics and Finance.
- Theodore Panagiotidis & Georgios Papapanagiotou & Thanasis Stengos, 2023. "A Bayesian approach for the determinants of bitcoin returns," Discussion Paper Series 2023_05, Department of Economics, University of Macedonia, revised May 2023.
- Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
- Todd E. Clark & Francesco Ravazzolo, 2012.
"The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility,"
Working Paper
2012/09, Norges Bank.
- Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Papers (Old Series) 1218, Federal Reserve Bank of Cleveland.
- Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
- Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Noriyuki Kunimoto & Kazuhiko Kakamu, 2021. "Is Bitcoin really a currency? A viewpoint of a stochastic volatility model," Papers 2111.15351, arXiv.org.
- Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
- Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana, 2020.
"Uncertainty Shocks and Business Cycle Research,"
NBER Working Papers
26768, National Bureau of Economic Research, Inc.
- Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011.
"Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy,"
Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
See citations under working paper version above.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd09-072, Institute of Economic Research, Hitotsubashi University.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," IMES Discussion Paper Series 09-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima Jouchi, 2011.
"Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach,"
The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
See citations under working paper version above.
- Jouchi Nakajima, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," IMES Discussion Paper Series 11-E-08, Institute for Monetary and Economic Studies, Bank of Japan.
- Jouchi Nakajima, 2011.
"Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
See citations under working paper version above.
- Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
- Nakajima, Jouchi & Omori, Yasuhiro, 2009.
"Leverage, heavy-tails and correlated jumps in stochastic volatility models,"
Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
See citations under working paper version above.
- Jouchi Nakajima & Yasuhiro Omori, 2007. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," CIRJE F-Series CIRJE-F-514, CIRJE, Faculty of Economics, University of Tokyo.
- Omori, Yasuhiro & Chib, Siddhartha & Shephard, Neil & Nakajima, Jouchi, 2007.
"Stochastic volatility with leverage: Fast and efficient likelihood inference,"
Journal of Econometrics, Elsevier, vol. 140(2), pages 425-449, October.
Cited by:
- Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
- Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
- Martin Iseringhausen & Hauke Vierke, 2018.
"What Drives Output Volatility? The Role of Demographics and Government Size Revisited,"
European Economy - Discussion Papers
075, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
- Martin Iseringhausen & Hauke Vierke, 2019. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 849-867, August.
- Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
- Mark J. Jensen & John M. Maheu, 2008.
"Bayesian semiparametric stochastic volatility modeling,"
FRB Atlanta Working Paper
2008-15, Federal Reserve Bank of Atlanta.
- Jensen, Mark J. & Maheu, John M., 2010. "Bayesian semiparametric stochastic volatility modeling," Journal of Econometrics, Elsevier, vol. 157(2), pages 306-316, August.
- Mark J Jensen & John M Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," Working Papers tecipa-314, University of Toronto, Department of Economics.
- Mark J. Jensen & John M. Maheu, 2009. "Bayesian Semiparametric Stochastic Volatility Modeling," Working Paper series 23_09, Rimini Centre for Economic Analysis.
- Bermudez, P. de Zea & Marín, J. Miguel & Rue, Håvard & Veiga, Helena, 2024.
"Integrated nested Laplace approximations for threshold stochastic volatility models,"
Econometrics and Statistics, Elsevier, vol. 30(C), pages 15-35.
- Zea Bermudez, Patrícia de & Rue, Havard, 2021. "Integrated nested Laplace approximations for threshold stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 31804, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Khorunzhina, Natalia & Richard, Jean-Francois, 2016.
"Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels,"
MPRA Paper
72326, University Library of Munich, Germany.
- Jean-Francois Richard, 2016. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kerkels," Working Paper 5980, Department of Economics, University of Pittsburgh.
- Natalia Khorunzhina & Jean-François Richard, 2019. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 991-1017, March.
- Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018.
"Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?,"
Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 34-62.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Dissecting the 2007-2009 real estate market bust: systematic pricing correction or just a housing fad?," Working Paper 2013/22, Norges Bank.
- Jin‐Yu Chen & Xue‐Hong Zhu & Mei‐Rui Zhong, 2021. "Time‐varying effects and structural change of oil price shocks on industrial output: Evidence from China's oil industrial chain," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3460-3472, July.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018.
"Measuring Uncertainty and Its Impact on the Economy,"
The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 799-815, December.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Measuring Uncertainty and Its Impact on the Economy," BAFFI CAREFIN Working Papers 1639, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
- Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2016. "Measuring Uncertainty and Its Impact on the Economy," Working Papers (Old Series) 1622, Federal Reserve Bank of Cleveland.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
- Yuta Kurose, 2021. "Stochastic volatility model with range-based correction and leverage," Papers 2110.00039, arXiv.org, revised Oct 2021.
- Makoto Takahashi & Toshiaki Watanabe & Yasuhiro Omori, 2014.
"Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution,"
CIRJE F-Series
CIRJE-F-949, CIRJE, Faculty of Economics, University of Tokyo.
- Makoto Takahashi & Toshiaki Watanabe & Yasuhiro Omori, 2015. "Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution," CIRJE F-Series CIRJE-F-975, CIRJE, Faculty of Economics, University of Tokyo.
- Makoto Takahashi & Toshiaki Watanabe & Yasuhiro Omori, 2014. "Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution," CIRJE F-Series CIRJE-F-921, CIRJE, Faculty of Economics, University of Tokyo.
- Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2016. "Volatility and quantile forecasts by realized stochastic volatility models with generalized hyperbolic distribution," International Journal of Forecasting, Elsevier, vol. 32(2), pages 437-457.
- Gerdie Everaert & Martin Iseringhausen, 2017.
"Measuring The International Dimension Of Output Volatility,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
17/928, Ghent University, Faculty of Economics and Business Administration.
- Everaert, Gerdie & Iseringhausen, Martin, 2018. "Measuring the international dimension of output volatility," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 20-39.
- Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
- Manabu Asai & Michael McAleer, 2010.
"Alternative Asymmetric Stochastic Volatility Models,"
Working Papers in Economics
10/70, University of Canterbury, Department of Economics and Finance.
- Manabu Asai & Michael McAleer, 2009. "Alternative Asymmetric Stochastic Volatility Models," CIRJE F-Series CIRJE-F-655, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," KIER Working Papers 739, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2011. "Alternative Asymmetric Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 30(5), pages 548-564, October.
- Asai, M. & McAleer, M.J., 2010. "Alternative Asymmetric Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-69, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Manabu Asai & Michael McAleer, 2009. "Alternative Asymmetric Stochastic Volatility Models," CARF F-Series CARF-F-166, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
- Makoto Takahashi & Yasuhiro Omori & Toshiaki Watanabe, 2007.
"Estimating Stochastic Volatility Models Using Daily Returns and Realized Volatility Simultaneously,"
CIRJE F-Series
CIRJE-F-515, CIRJE, Faculty of Economics, University of Tokyo.
- Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2009. "Estimating stochastic volatility models using daily returns and realized volatility simultaneously," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2404-2426, April.
- Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024.
"Constructing fan charts from the ragged edge of SPF forecasts,"
Working Papers
2429, Banco de España.
- Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36, Federal Reserve Bank of Cleveland.
- Clark, Todd E. & Ganics, Gergely & Mertens, Elmar, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Discussion Papers 38/2024, Deutsche Bundesbank.
- Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36R, Federal Reserve Bank of Cleveland.
- Tino Berger & Gerdie Everaert & Hauke Vierke, 2015.
"Testing for time variation in an unobserved components model for the U.S. economy,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
15/903, Ghent University, Faculty of Economics and Business Administration.
- Berger, Tino & Everaert, Gerdie & Vierke, Hauke, 2016. "Testing for time variation in an unobserved components model for the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 179-208.
- Creal, Drew D. & Tsay, Ruey S., 2015. "High dimensional dynamic stochastic copula models," Journal of Econometrics, Elsevier, vol. 189(2), pages 335-345.
- Süleyman Taşpınar & Osman DoĞan & Jiyoung Chae & Anil K. Bera, 2021. "Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1243-1272, October.
- Guglielmo Maria Caporale & Luis Alberiko Gil‐Alana & Tommaso Trani, 2022.
"On the persistence of UK inflation: A long‐range dependence approach,"
International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 439-454, January.
- Guglielmo Maria Caporale & Luis A. Gil-Alana & Tommaso Trani, 2018. "On the Persistence of UK Inflation: A Long-Range Dependence Approach," Discussion Papers of DIW Berlin 1731, DIW Berlin, German Institute for Economic Research.
- Guglielmo Maria Caporale & Luis A. Gil-Alana & Tommaso Trani, 2018. "On the Persistence of UK Inflation: A Long-Range Dependence Approach," CESifo Working Paper Series 6968, CESifo.
- Omori, Yasuhiro & Watanabe, Toshiaki, 2008.
"Block sampler and posterior mode estimation for asymmetric stochastic volatility models,"
Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2892-2910, February.
- Yasuhiro Omori & Toshiaki Watanabe, 2007. "Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models," CIRJE F-Series CIRJE-F-507, CIRJE, Faculty of Economics, University of Tokyo.
- Kelly Trinh & Bo Zhang & Chenghan Hou, 2025. "Macroeconomic real‐time forecasts of univariate models with flexible error structures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(1), pages 59-78, January.
- Wang, Joanna J.J. & Chan, Jennifer S.K. & Choy, S.T. Boris, 2011. "Stochastic volatility models with leverage and heavy-tailed distributions: A Bayesian approach using scale mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 852-862, January.
- Yuriy Kitsul & Jonathan H. Wright, 2012.
"The Economics of Options-Implied Inflation Probability Density Functions,"
Economics Working Paper Archive
600, The Johns Hopkins University,Department of Economics.
- Jonathan Wright & Yuriy Kitsul, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," 2012 Meeting Papers 174, Society for Economic Dynamics.
- Yuriy Kitsul & Jonathan H. Wright, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," NBER Working Papers 18195, National Bureau of Economic Research, Inc.
- Kitsul, Yuriy & Wright, Jonathan H., 2013. "The economics of options-implied inflation probability density functions," Journal of Financial Economics, Elsevier, vol. 110(3), pages 696-711.
- Haroon Mumtaz, 2018. "A generalised stochastic volatility in mean VAR," Working Papers 855, Queen Mary University of London, School of Economics and Finance.
- Nakajima, Jouchi & Omori, Yasuhiro, 2009.
"Leverage, heavy-tails and correlated jumps in stochastic volatility models,"
Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
- Jouchi Nakajima & Yasuhiro Omori, 2007. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," CIRJE F-Series CIRJE-F-514, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima, 2011.
"Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications,"
Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
- Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024.
"A note on the determinants of NFTs returns,"
Working Paper series
24-07, Rimini Centre for Economic Analysis.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Discussion Paper Series 2024_02, Department of Economics, University of Macedonia, revised Feb 2024.
- Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
- Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011.
"Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy,"
Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd09-072, Institute of Economic Research, Hitotsubashi University.
- Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," IMES Discussion Paper Series 09-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
- Casas, Isabel, 2019.
"Exploring option pricing and hedging via volatility asymmetry,"
DES - Working Papers. Statistics and Econometrics. WS
28234, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Isabel Casas & Helena Veiga, 2021. "Exploring Option Pricing and Hedging via Volatility Asymmetry," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1015-1039, April.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2020.
"Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors,"
The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 17-33, March.
- Todd E Clark & Michael W McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," BIS Working Papers 667, Bank for International Settlements.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 2017-026, Federal Reserve Bank of St. Louis.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 17-15R, Federal Reserve Bank of Cleveland.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers (Old Series) 1715, Federal Reserve Bank of Cleveland.
- Tsionas, Mike G., 2017. "A non-iterative (trivial) method for posterior inference in stochastic volatility models," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 83-87.
- Willy Alanya & Gabriel Rodríguez, 2019.
"Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets,"
Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-18, March.
- Gabriel Rodriguez & Willy Alanya, 2016. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers 2016-413, Departamento de Economía - Pontificia Universidad Católica del Perú.
- James H. Stock & Mark W. Watson, 2015.
"Core Inflation and Trend Inflation,"
NBER Working Papers
21282, National Bureau of Economic Research, Inc.
- James H. Stock & Mark W. Watson, 2016. "Core Inflation and Trend Inflation," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 770-784, October.
- Yu, Jun, 2012.
"A semiparametric stochastic volatility model,"
Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
- Jun Yu, 2008. "A Semiparametric Stochastic Volatility Model," Working Papers CoFie-04-2008, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
- Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2024.
"A Bayesian approach for the determinants of bitcoin returns,"
International Review of Financial Analysis, Elsevier, vol. 91(C).
- Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "A Bayesian approach for the determinants of bitcoin returns," Working Papers 2302, University of Guelph, Department of Economics and Finance.
- Theodore Panagiotidis & Georgios Papapanagiotou & Thanasis Stengos, 2023. "A Bayesian approach for the determinants of bitcoin returns," Discussion Paper Series 2023_05, Department of Economics, University of Macedonia, revised May 2023.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2020.
"Bayesian Modelling of TVP-VARs Using Regression Trees,"
Working Papers
2308, University of Strathclyde Business School, Department of Economics, revised Aug 2023.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2022. "Bayesian Modeling of TVP-VARs Using Regression Trees," Papers 2209.11970, arXiv.org, revised May 2023.
- Drew D. Creal & Jing Cynthia Wu, 2017.
"Monetary Policy Uncertainty And Economic Fluctuations,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(4), pages 1317-1354, November.
- Drew D. Creal & Jing Cynthia Wu, 2014. "Monetary Policy Uncertainty and Economic Fluctuations," NBER Working Papers 20594, National Bureau of Economic Research, Inc.
- Koop, Gary & Korobilis, Dimitris, 2010.
"Bayesian Multivariate Time Series Methods for Empirical Macroeconomics,"
Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
- Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
- Gary Koop & Dimitris Korobilis, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Working Paper series 47_09, Rimini Centre for Economic Analysis.
- Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
- Angelos Alexopoulos & Petros Dellaportas & Omiros Papaspiliopoulos, 2019. "Bayesian prediction of jumps in large panels of time series data," Papers 1904.05312, arXiv.org, revised Apr 2021.
- Bognanni, Mark & Zito, John, 2020. "Sequential Bayesian inference for vector autoregressions with stochastic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
- Tsunehiro Ishihara & Yasuhiro Omori, 2009.
"Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors,"
CARF F-Series
CARF-F-198, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-746, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2009. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-700, CIRJE, Faculty of Economics, University of Tokyo.
- Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CARF F-Series CARF-F-221, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Chan, Joshua C.C., 2013.
"Moving average stochastic volatility models with application to inflation forecast,"
Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
- Joshua C C Chan, 2012. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," ANU Working Papers in Economics and Econometrics 2012-591, Australian National University, College of Business and Economics, School of Economics.
- Joshua C.C. Chan, 2013. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," CAMA Working Papers 2013-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2016.
"Cholesky Realized Stochastic Volatility Model,"
CIRJE F-Series
CIRJE-F-1019, CIRJE, Faculty of Economics, University of Tokyo.
- Shirota, Shinichiro & Omori, Yasuhiro & F. Lopes, Hedibert. & Piao, Haixiang, 2017. "Cholesky realized stochastic volatility model," Econometrics and Statistics, Elsevier, vol. 3(C), pages 34-59.
- Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2015. "Cholesky Realized Stochastic Volatility Model," CIRJE F-Series CIRJE-F-979, CIRJE, Faculty of Economics, University of Tokyo.
- Fabian Kr ger & Todd E. Clark & Francesco Ravazzolo, 2015.
"Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts,"
Working Papers
No 8/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Fabian Krüger & Todd E. Clark & Francesco Ravazzolo, 2017. "Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 470-485, July.
- Krüger, Fabian & Clark, Todd E. & Ravazzolo, Francesco, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113077, Verein für Socialpolitik / German Economic Association.
- Todd E. Clark & Fabian Krueger & Francesco Ravazzolo, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers (Old Series) 1439, Federal Reserve Bank of Cleveland.
- Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2022.
"Aggregate Skewness and the Business Cycle,"
CEPR Discussion Papers
17162, C.E.P.R. Discussion Papers.
- Martin Iseringhausen & Ivan Petrella & Konstantinos Theodoridis, 2022. "Aggregate skewness and the business cycle," Working Papers 53, European Stability Mechanism.
- Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2021. "Aggregate Skewness and the Business Cycle," Cardiff Economics Working Papers E2021/30, Cardiff University, Cardiff Business School, Economics Section.
- James H. Stock & Mark W. Watson, 2019. "Trend, Seasonal, and Sectoral Inflation in the Euro Area," Working Papers Central Bank of Chile 847, Central Bank of Chile.
- Bai, Yu & Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022.
"Macroeconomic Forecasting in a Multi-country Context,"
CEPR Discussion Papers
16994, C.E.P.R. Discussion Papers.
- Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic forecasting in a multi‐country context," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1230-1255, September.
- Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic Forecasting in a Multi-country Context," Working Papers 22-02, Federal Reserve Bank of Cleveland.
- Jouchi Nakajima & Yasuhiro Omori, 2007. "Leverage, Heavy-Tails and Correlated Jumps in Stochastic Volatility Models (Revised in January 2008; Published in "Computational Statistics and Data Analysis", 53-6, 2335-2353. April 2009. )," CARF F-Series CARF-F-107, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Kastner, Gregor, 2016.
"Dealing with Stochastic Volatility in Time Series Using the R Package stochvol,"
Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i05).
- Gregor Kastner, 2019. "Dealing with Stochastic Volatility in Time Series Using the R Package stochvol," Papers 1906.12134, arXiv.org.
- Gregor Kastner & Sylvia Fruhwirth-Schnatter, 2017.
"Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models,"
Papers
1706.05280, arXiv.org.
- Kastner, Gregor & Frühwirth-Schnatter, Sylvia, 2014. "Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 408-423.
- Cabral, Celso Rômulo Barbosa & da-Silva, Cibele Queiroz & Migon, Helio S., 2014. "A dynamic linear model with extended skew-normal for the initial distribution of the state parameter," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 64-80.
- Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2024. "Consumption in asset returns," LSE Research Online Documents on Economics 126152, London School of Economics and Political Science, LSE Library.
- Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
- Dinghai Xu, 2009. "The Applications of Mixtures of Normal Distributions in Empirical Finance: A Selected Survey," Working Papers 0904, University of Waterloo, Department of Economics, revised Sep 2009.
- IIBOSHI Hirokuni & MATSUMAE Tatsuyoshi & NISHIYAMA Shin-Ichi, 2014. "Sources of the Great Recession:A Bayesian Approach of a Data-Rich DSGE model with Time-Varying Volatility Shocks," ESRI Discussion paper series 313, Economic and Social Research Institute (ESRI).
- Mark J Jensen & John M Maheu, 2012.
"Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture,"
Working Papers
tecipa-453, University of Toronto, Department of Economics.
- Mark J. Jensen & John M. Maheu, 2012. "Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture," FRB Atlanta Working Paper 2012-06, Federal Reserve Bank of Atlanta.
- Mark J. Jensen & John M. Maheu, 2012. "Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture," Working Paper series 45_12, Rimini Centre for Economic Analysis.
- Jensen, Mark J. & Maheu, John M., 2014. "Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture," Journal of Econometrics, Elsevier, vol. 178(P3), pages 523-538.
- Florian Huber & Katrin Rabitsch, 2019.
"Exchange rate dynamics and monetary policy -- Evidence from a non-linear DSGE-VAR approach,"
Department of Economics Working Papers
wuwp295, Vienna University of Economics and Business, Department of Economics.
- Huber, Florian & Rabitsch, Katrin, 2019. "Exchange rate dynamics and monetary policy - Evidence from a non-linear DSGE-VAR approach," Department of Economics Working Paper Series 295, WU Vienna University of Economics and Business.
- Huber, Florian & Rabithsc, Katrin, 2019. "Exchange rate dynamics and monetary policy: Evidence from a non-linear DSGE-VAR approach," Working Papers in Economics 2019-5, University of Salzburg.
- Cem Çakmakli & Selva Demi̇ralp & Gökhan Şahi̇n Güneş, 2024. "Do Financial Markets Respond to Populist Rhetoric?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 541-567, June.
- Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016.
"Have Standard VARs Remained Stable Since the Crisis?,"
CEPR Discussion Papers
11558, C.E.P.R. Discussion Papers.
- Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2017. "Have Standard VARS Remained Stable Since the Crisis?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 931-951, August.
- Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2014. "Have Standard VARs Remained Stable since the Crisis?," Working Papers (Old Series) 1411, Federal Reserve Bank of Cleveland.
- Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2014. "Have standard VARs remained stable since the crisis?," Working Paper 2014/13, Norges Bank.
- James H. Stock & Mark W. Watson, 2020. "Trend, Seasonal, and Sectorial Inflation in the Euro Area," Central Banking, Analysis, and Economic Policies Book Series, in: Gonzalo Castex & Jordi Galí & Diego Saravia (ed.),Changing Inflation Dynamics,Evolving Monetary Policy, edition 1, volume 27, chapter 9, pages 317-344, Central Bank of Chile.
- Arnoud Stevens & Joris Wauters, 2021.
"Is euro area lowflation here to stay? Insights from a time‐varying parameter model with survey data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 566-586, August.
- Arnoud Stevens & Joris Wauters, 2018. "Is euro area lowflation here to stay ? Insights from a time-varying parameter model with survey data," Working Paper Research 355, National Bank of Belgium.
- Lin, Qian & Sun, Xianming & Zhou, Chao, 2020. "Horizon-unbiased investment with ambiguity," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
- Naoki Awaya & Yasuhiro Omori, 2017.
"Particle rolling MCMC with Double Block Sampling: Conditional SMC Update Approach,"
CIRJE F-Series
CIRJE-F-1066, CIRJE, Faculty of Economics, University of Tokyo.
- Naoki Awaya & Yasuhiro Omori, 2018. "Particle rolling MCMC with double block sampling: conditional SMC update approach," CIRJE F-Series CIRJE-F-1080, CIRJE, Faculty of Economics, University of Tokyo.
- Nalan Baştürk & Cem Çakmakli & S. Pinar Ceyhan & Herman K. Van Dijk, 2014.
"Posterior‐Predictive Evidence On Us Inflation Using Extended New Keynesian Phillips Curve Models With Non‐Filtered Data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1164-1182, November.
- Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Extended New Keynesian Phillips Curve Models with Non-filtered Data," Tinbergen Institute Discussion Papers 13-090/III, Tinbergen Institute.
- Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020.
"A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior,"
Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
- Sebastian Ankargren & M{aa}ns Unosson & Yukai Yang, 2019. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Papers 1911.09151, arXiv.org.
- Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
- Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
- Hong, Hui & Bian, Zhicun & Chen, Naiwei, 2020. "Leverage effect on stochastic volatility for option pricing in Hong Kong: A simulation and empirical study," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
- Joseph P. Byrne & Boulis M. Ibrahim & Xiaoyu Zong, 2020.
"Asset Prices and Capital Share Risks: Theory and Evidence,"
Papers
2006.14023, arXiv.org.
- Byrne, Joseph P & Ibrahim, Boulis Maher & Zong, Xiaoyu, 2020. "Asset Prices and Capital Share Risks: Theory and Evidence," MPRA Paper 101781, University Library of Munich, Germany.
- Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2016. "Volatility Forecasts Using Nonlinear Leverage Effects," Papers 1605.06482, arXiv.org, revised Dec 2017.
- Makoto Takahashi & Yasuhiro Omori & Toshiaki Watanabe, 2012.
"News Impact Curve for Stochastic Volatility Models,"
Global COE Hi-Stat Discussion Paper Series
gd12-242, Institute of Economic Research, Hitotsubashi University.
- Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2013. "News impact curve for stochastic volatility models," Economics Letters, Elsevier, vol. 120(1), pages 130-134.
- Joshua C C Chan & Cody Y L Hsiao, 2013. "Estimation of Stochastic Volatility Models with Heavy Tails and Serial Dependence," CAMA Working Papers 2013-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
- Minheng Xiao, 2022. "Data-Driven Risk Measurement by SV-GARCH-EVT Model," Papers 2201.09434, arXiv.org, revised Dec 2024.
- Pym Manopimoke & Vorada Limjaroenrat, 2016.
"Trend Inflation Estimates for Thailand from Disaggregated Data,"
PIER Discussion Papers
51, Puey Ungphakorn Institute for Economic Research.
- Manopimoke, Pym & Limjaroenrat, Vorada, 2017. "Trend inflation estimates for Thailand from disaggregated data," Economic Modelling, Elsevier, vol. 65(C), pages 75-94.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models," CIRJE F-Series CIRJE-F-738, CIRJE, Faculty of Economics, University of Tokyo.
- James M. Nason & Gregor W. Smith, 2021.
"UK inflation forecasts since the thirteenth century,"
CAMA Working Papers
2021-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- James M. Nason & Gregor W. Smith, 2021. "UK Inflation Forecasts since the Thirteenth Century," Working Paper 1454, Economics Department, Queen's University.
- McAleer, Michael & Medeiros, Marcelo C., 2008.
"A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries,"
Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
- Michael McAller & Marcelo C. Medeiros, 2007. "A multiple regime smooth transition heterogeneous autoregressive model for long memory and asymmetries," Textos para discussão 544, Department of Economics PUC-Rio (Brazil).
- Zhu, Qinwen & Diao, Xundi & Wu, Chongfeng, 2023. "Volatility forecast with the regularity modifications," Finance Research Letters, Elsevier, vol. 58(PA).
- Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
- Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2021. "Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility," Discussion paper series HIAS-E-104, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Bauwens, L. & Hafner C. & Laurent, S., 2011.
"Volatility Models,"
LIDAM Discussion Papers ISBA
2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Michael Pitt & Sheheryar Malik & Arnaud Doucet, 2014. "Simulated likelihood inference for stochastic volatility models using continuous particle filtering," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 66(3), pages 527-552, June.
- Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2008. "Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4608-4624, June.
- Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda, 2022.
"Sectoral Uncertainty,"
"Marco Fanno" Working Papers
0288, Dipartimento di Scienze Economiche "Marco Fanno".
- Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda, 2024. "Sectoral uncertainty," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Granular data: new horizons and challenges, volume 61, Bank for International Settlements.
- Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda, 2022. "Sectoral Uncertainty," CAMA Working Papers 2022-62, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda, 2022. "Sectoral Uncertainty," CESifo Working Paper Series 10034, CESifo.
- Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda, 2022. "Sectoral Uncertainty," Staff Working Papers 22-38, Bank of Canada.
- Travis J. Berge, 2023.
"Time-Varying Uncertainty of the Federal Reserve's Output Gap Estimate,"
The Review of Economics and Statistics, MIT Press, vol. 105(5), pages 1191-1206, September.
- Travis J. Berge, 2020. "Time-varying Uncertainty of the Federal Reserve’s Output Gap Estimate," Finance and Economics Discussion Series 2020-012r1, Board of Governors of the Federal Reserve System (U.S.), revised 14 Apr 2021.
- Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
- Maciej Kostrzewski, 2016. "Bayesian SVLEDEJ Model for Detecting Jumps in Logarithmic Growth Rates of One Month Forward Gas Contract Prices," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(3), pages 161-179, September.
- Audrone Virbickaite & Hedibert F. Lopes & Maria Concepción Ausín & Pedro Galeano, 2018.
"Particle Learning for Bayesian Semi-Parametric Stochastic Volatility Model,"
DEA Working Papers
88, Universitat de les Illes Balears, Departament d'Economía Aplicada.
- Audronė Virbickaitė & Hedibert F. Lopes & M. Concepción Ausín & Pedro Galeano, 2019. "Particle learning for Bayesian semi-parametric stochastic volatility model," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 1007-1023, October.
- Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Siddhartha Chib & Minchul Shin & Fei Tan, 2020. "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers 20-35, Federal Reserve Bank of Philadelphia.
- Danilo Cascaldi-Garcia, 2017. "Amplification effects of news shocks through uncertainty," 2017 Papers pca1251, Job Market Papers.
- Iseringhausen, Martin, 2024.
"A time-varying skewness model for Growth-at-Risk,"
International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
- Martin Iseringhausen, 2021. "A time-varying skewness model for Growth-at-Risk," Working Papers 49, European Stability Mechanism.
- Tsunehiro Ishihara & Yasuhiro Omori, 2017. "Portfolio optimization using dynamic factor and stochastic volatility: evidence on Fat-tailed errors and leverage," The Japanese Economic Review, Japanese Economic Association, vol. 68(1), pages 63-94, March.
- Nonejad Nima, 2015. "Particle Gibbs with ancestor sampling for stochastic volatility models with: heavy tails, in mean effects, leverage, serial dependence and structural breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 561-584, December.
- István Barra & Lennart Hoogerheide & Siem Jan Koopman & André Lucas, 2017.
"Joint Bayesian Analysis of Parameters and States in Nonlinear non‐Gaussian State Space Models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 1003-1026, August.
- István Barra & Lennart Hoogerheide & Siem Jan Koopman & André Lucas, 2014. "Joint Bayesian Analysis of Parameters and States in Nonlinear, Non-Gaussian State Space Models," Tinbergen Institute Discussion Papers 14-118/III, Tinbergen Institute, revised 31 Mar 2016.
- Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2022.
"Tail Forecasting with Multivariate Bayesian Additive Regression Trees,"
CEPR Discussion Papers
17461, C.E.P.R. Discussion Papers.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023. "Tail Forecasting With Multivariate Bayesian Additive Regression Trees," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
- Qin, Yun & Chen, Jinyu & Dong, Xuesong, 2021. "Oil prices, policy uncertainty and travel and leisure stocks in China," Energy Economics, Elsevier, vol. 96(C).
- Maria Kalli & Jim Griffin, 2015. "Flexible Modeling of Dependence in Volatility Processes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 102-113, January.
- Abdelhakim Aknouche, 2017. "Periodic autoregressive stochastic volatility," Statistical Inference for Stochastic Processes, Springer, vol. 20(2), pages 139-177, July.
- Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019.
"The Global Component of Inflation Volatility,"
CEPR Discussion Papers
13470, C.E.P.R. Discussion Papers.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2022. "The global component of inflation volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 700-721, June.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
- Didit Nugroho & Takayuki Morimoto, 2015. "Estimation of realized stochastic volatility models using Hamiltonian Monte Carlo-Based methods," Computational Statistics, Springer, vol. 30(2), pages 491-516, June.
- Nakajima, Jouchi & Omori, Yasuhiro, 2012.
"Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3690-3704.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution," Global COE Hi-Stat Discussion Paper Series gd09-124, Institute of Economic Research, Hitotsubashi University.
- Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution," CARF F-Series CARF-F-215, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Jouchi Nakajima & Yasuhiro Omori, 2009. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's t-distribution," CARF F-Series CARF-F-199, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Jouchi Nakajima & Yasuhiro Omori, 2009. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution," CIRJE F-Series CIRJE-F-701, CIRJE, Faculty of Economics, University of Tokyo.
- Frédéric Karamé, 2018.
"A new particle filtering approach to estimate stochastic volatility models with Markov-switching,"
Post-Print
hal-02296093, HAL.
- Karamé, Frédéric, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Econometrics and Statistics, Elsevier, vol. 8(C), pages 204-230.
- Audrone Virbickaite & Hedibert F. Lopes, 2018. "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers 89, Universitat de les Illes Balears, Departament d'Economía Aplicada.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014.
"Matrix Exponential Stochastic Volatility with Cross Leverage,"
CIRJE F-Series
CIRJE-F-932, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-938, CIRJE, Faculty of Economics, University of Tokyo.
- Ishihara, Tsunehiro & Omori, Yasuhiro & Asai, Manabu, 2016. "Matrix exponential stochastic volatility with cross leverage," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 331-350.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2011. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
- Nalan Basturk & Pinar Ceyhan & Herman K. van Dijk, 2014. "Bayesian Forecasting of US Growth using Basic Time Varying Parameter Models and Expectations Data," Tinbergen Institute Discussion Papers 14-119/III, Tinbergen Institute, revised 14 Sep 2014.
- Shinichiro Shirota & Takayuki Hizu & Yasuhiro Omori, 2013.
"Realized Stochastic Volatility with Leverage and Long Memory,"
CIRJE F-Series
CIRJE-F-880, CIRJE, Faculty of Economics, University of Tokyo.
- Shirota, Shinichiro & Hizu, Takayuki & Omori, Yasuhiro, 2014. "Realized stochastic volatility with leverage and long memory," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 618-641.
- Shinichiro Shirota & Takayuki Hizu & Yasuhiro Omori, 2012. "Realized stochastic volatility with leverage and long memory," CIRJE F-Series CIRJE-F-869, CIRJE, Faculty of Economics, University of Tokyo.
- Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
- Ulm, M. & Hambuckers, J., 2022. "Do interest rate differentials drive the volatility of exchange rates? Evidence from an extended stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 65(C), pages 125-148.
- Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
- Huang Yu-Fan, 2021. "An effcient exact Bayesian method For state space models with stochastic volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-10, April.
- Helmut Lutkepohl & Fei Shang & Luis Uzeda & Tomasz Wo'zniak, 2024.
"Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference,"
Papers
2404.11057, arXiv.org.
- Helmut Lütkepohl & Fei Shang & Luis Uzeda & Tomasz Woźniak, 2024. "Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference," Discussion Papers of DIW Berlin 2081, DIW Berlin, German Institute for Economic Research.
- Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
- Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
- Mark Bognanni & John Zito, 2019. "Sequential Bayesian Inference for Vector Autoregressions with Stochastic Volatility," Working Papers 19-29, Federal Reserve Bank of Cleveland.
- Xiao-Bin Liu & Yong Li, 2013. "Bayesian testing volatility persistence in stochastic volatility models with jumps," Quantitative Finance, Taylor & Francis Journals, vol. 14(8), pages 1415-1426, December.
- Sergey Egiev, 2016. "On Persistence of Uncertainty Shocks," HSE Working papers WP BRP 144/EC/2016, National Research University Higher School of Economics.
- Chen, Jinyu & Zhu, Xuehong & Li, Hailing, 2020. "The pass-through effects of oil price shocks on China's inflation: A time-varying analysis," Energy Economics, Elsevier, vol. 86(C).
- Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
- Djennad, Abdelmajid & Rigby, Robert & Stasinopoulos, Dimitrios & Voudouris, Vlasios & Eilers, Paul, 2015. "Beyond location and dispersion models: The Generalized Structural Time Series Model with Applications," MPRA Paper 62807, University Library of Munich, Germany.
- Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014.
"On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility,"
Energy Economics, Elsevier, vol. 45(C), pages 66-98.
- Ikram Jebabli & Mohamed Arouri & Frédéric Teulon, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVPVAR models with stochastic volatility," Working Papers 2014-209, Department of Research, Ipag Business School.
- Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2010. "Bayesian Estimation and Particle Filter for Max-Stable Processes," CIRJE F-Series CIRJE-F-757, CIRJE, Faculty of Economics, University of Tokyo.
- Istvan Barra & Siem Jan Koopman & Agnieszka Borowska, 2016.
"Bayesian Dynamic Modeling of High-Frequency Integer Price Changes,"
Tinbergen Institute Discussion Papers
16-028/III, Tinbergen Institute, revised 16 Feb 2018.
- István Barra & Agnieszka Borowska & Siem Jan Koopman, 2018. "Bayesian Dynamic Modeling of High-Frequency Integer Price Changes," Journal of Financial Econometrics, Oxford University Press, vol. 16(3), pages 384-424.
- Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
- Nakajima, Jouchi & Kunihama, Tsuyoshi & Omori, Yasuhiro & Frühwirth-Schnatter, Sylvia, 2012.
"Generalized extreme value distribution with time-dependence using the AR and MA models in state space form,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3241-3259.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruhwirth-Schnatter, 2011. "Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form," CIRJE F-Series CIRJE-F-782, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruhwirth-Schnatter, 2009. "Generalized extreme value distribution with time-dependence using the AR and MA models in state space form," CIRJE F-Series CIRJE-F-689, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruwirth-Scnatter, 2009. "Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form," IMES Discussion Paper Series 09-E-32, Institute for Monetary and Economic Studies, Bank of Japan.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015.
"Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section,"
Working Papers
550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2017. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 110-129, January.
- Xu Gong & Yujing Jin & Chuanwang Sun, 2022. "Time‐varying pure contagion effect between energy and nonenergy commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1960-1986, October.
- Awijen, Haithem & Ben Zaied, Younes & Nguyen, Duc Khuong & Sensoy, Ahmet, 2020. "Endogenous Financial Uncertainty and Macroeconomic Volatility: Evidence from the United States," MPRA Paper 101276, University Library of Munich, Germany, revised Jun 2020.
- Tsunehiro Ishihara & Yasuhiro Omori, 2017. "Portfolio optimization using dynamic factor and stochastic volatility: evidence on Fat-tailed errors and leverage," The Japanese Economic Review, Springer, vol. 68(1), pages 63-94, March.
- Christopher D. Walker, 2024. "A Bayesian Perspective on the Maximum Score Problem," Papers 2410.17153, arXiv.org.
- Francesco Ravazzolo & Philip Rothman, 2015.
"Oil-Price Density Forecasts of U.S. GDP,"
Working Papers
No 10/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Ravazzolo Francesco & Rothman Philip, 2016. "Oil-price density forecasts of US GDP," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 441-453, September.
- Naoki Awaya & Yasuhiro Omori, 2019. "Particle rolling MCMC," CIRJE F-Series CIRJE-F-1110, CIRJE, Faculty of Economics, University of Tokyo.
- Kleppe, Tore Selland & Skaug, Hans J., 2008. "Simulated maximum likelihood for general stochastic volatility models: a change of variable approach," MPRA Paper 12022, University Library of Munich, Germany.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015.
"Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ,"
CIRJE F-Series
CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2017. "Bayesian modeling of dynamic extreme values: extension of generalized extreme value distributions with latent stochastic processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1248-1268, May.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima, 2008. "EGARCH and Stochastic Volatility: Modeling Jumps and Heavy-tails for Stock Returns," IMES Discussion Paper Series 08-E-23, Institute for Monetary and Economic Studies, Bank of Japan.
- Mumtaz, Haroon, 2018. "A generalised stochastic volatility in mean VAR," Economics Letters, Elsevier, vol. 173(C), pages 10-14.
- Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024.
"Bayesian forecasting in economics and finance: A modern review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
- Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
- Chon, Sora & Kim, Jaeho, 2021. "Does the Financial Leverage Effect Depend on Volatility Regimes?," Finance Research Letters, Elsevier, vol. 39(C).
- Naoko Hara & Kazuhiro Hiraki & Yoshitaka Ichise, 2015. "Changing Exchange Rate Pass-Through in Japan: Does It Indicate Changing Pricing Behavior?," Bank of Japan Working Paper Series 15-E-4, Bank of Japan.
- Martin Iseringhausen, 2018.
"The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility – Stochastic Skewness Model,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
18/944, Ghent University, Faculty of Economics and Business Administration.
- Iseringhausen, Martin, 2020. "The time-varying asymmetry of exchange rate returns: A stochastic volatility – stochastic skewness model," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 275-292.
- Charles S. Bos, 2011. "Relating Stochastic Volatility Estimation Methods," Tinbergen Institute Discussion Papers 11-049/4, Tinbergen Institute.
- Malik, Sheheryar & Pitt, Michael K., 2011. "Particle filters for continuous likelihood evaluation and maximisation," Journal of Econometrics, Elsevier, vol. 165(2), pages 190-209.
- Zribi, Wissal & Boufateh, Talel & Guesmi, Khaled, 2023. "Climate uncertainty effects on bitcoin ecological footprint through cryptocurrency environmental attention," Finance Research Letters, Elsevier, vol. 58(PD).
- Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2022.
"Understanding trend inflation through the lens of the goods and services sectors,"
CAMA Working Papers
2022-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2020. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Staff Working Papers 20-45, Bank of Canada.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Discussion Paper Series 2301, Institute of Economic Research, Korea University.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding trend inflation through the lens of the goods and services sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 751-766, August.
- Sabiwalsky, Ralf, 2012. "Does Basel II pillar 3 risk exposure data help to identify risky banks?," SFB 649 Discussion Papers 2012-008, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Christophe Chesneau & Salima El Kolei & Fabien Navarro, 2022. "Parametric estimation of hidden Markov models by least squares type estimation and deconvolution," Statistical Papers, Springer, vol. 63(5), pages 1615-1648, October.
- Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
- Tino Berger & Sibylle Grabert & Bernd Kempa, 2016. "Global and Country-Specific Output Growth Uncertainty and Macroeconomic Performance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 694-716, October.
- Maciej Kostrzewski & Jadwiga Kostrzewska, 2021. "The Impact of Forecasting Jumps on Forecasting Electricity Prices," Energies, MDPI, vol. 14(2), pages 1-17, January.
- Malik, Sheheryar & Pitt, Michael K., 2009. "Modelling Stochastic Volatility with Leverage and Jumps: A Simulated Maximum Likelihood Approach via Particle Filtering," Economic Research Papers 271302, University of Warwick - Department of Economics.
- Cathy W.S. Chen & Toshiaki Watanabe, 2019. "Bayesian modeling and forecasting of Value‐at‐Risk via threshold realized volatility," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(3), pages 747-765, May.
- Cem Cakmakli & Verda Ozturk, 2021. "Economic Value of Modeling the Joint Distribution of Returns and Volatility: Leverage Timing," Koç University-TUSIAD Economic Research Forum Working Papers 2110, Koc University-TUSIAD Economic Research Forum.
- Yuta Kurose & Yasuhiro Omori, 2012. "Bayesian Analysis of Time-Varying Quantiles Using a Smoothing Spline," CIRJE F-Series CIRJE-F-845, CIRJE, Faculty of Economics, University of Tokyo.
- Lee, Cheol Woo & Kang, Kyu Ho, 2023. "Estimating and testing skewness in a stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 445-467.
- Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
- Kim, Jaeho, 2015. "Bayesian Inference in a Non-linear/Non-Gaussian Switching State Space Model: Regime-dependent Leverage Effect in the U.S. Stock Market," MPRA Paper 67153, University Library of Munich, Germany.
- Joshua C.C. Chan & Rodney W. Strachan, 2023.
"Bayesian State Space Models In Macroeconometrics,"
Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
- Joshua C.C. Chan & Rodney W. Strachan, 2020. "Bayesian state space models in macroeconometrics," CAMA Working Papers 2020-90, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
- Yanhui Xi & Hui Peng & Yemei Qin, 2016. "Modeling Financial Time Series Based on a Market Microstructure Model with Leverage Effect," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, February.
- Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2012.
"Efficient estimation and particle filter for max‐stable processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 33(1), pages 61-80, January.
- Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2011. "Efficient estimation and particle filter for max-stable processes," CIRJE F-Series CIRJE-F-791, CIRJE, Faculty of Economics, University of Tokyo.
- Kreuzer, Alexander & Czado, Claudia, 2021. "Bayesian inference for a single factor copula stochastic volatility model using Hamiltonian Monte Carlo," Econometrics and Statistics, Elsevier, vol. 19(C), pages 130-150.
- Phillip, Andrew & Chan, Jennifer & Peiris, Shelton, 2020. "On generalized bivariate student-t Gegenbauer long memory stochastic volatility models with leverage: Bayesian forecasting of cryptocurrencies with a focus on Bitcoin," Econometrics and Statistics, Elsevier, vol. 16(C), pages 69-90.
- Doğan, Osman & Taşpınar, Süleyman & Bera, Anil K., 2021. "A Bayesian robust chi-squared test for testing simple hypotheses," Journal of Econometrics, Elsevier, vol. 222(2), pages 933-958.
- Xiuqin Xu & Ying Chen, 2021. "Deep Stochastic Volatility Model," Papers 2102.12658, arXiv.org.
- Francesco Corsello & Valerio Nispi Landi, 2020.
"Labor Market and Financial Shocks: A Time‐Varying Analysis,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(4), pages 777-801, June.
- Francesco Corsello & Valerio Nispi Landi, 2018. "Labor market and financial shocks: a time varying analysis," Temi di discussione (Economic working papers) 1179, Bank of Italy, Economic Research and International Relations Area.
- Michael Grabchak & Eliana Christou, 2021. "A note on calculating expected shortfall for discrete time stochastic volatility models," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-16, December.
- Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
- Virbickaitė, Audronė & Frey, Christoph & Macedo, Demian N., 2020. "Bayesian sequential stock return prediction through copulas," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
- Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2020. "The effects of geopolitical risks on the stock dynamics of China's rare metals: A TVP-VAR analysis," Resources Policy, Elsevier, vol. 68(C).
- Malik, Sheheryar & Pitt, Michael K, 2009. "Modelling Stochastic Volatility with Leverage and Jumps : A Simulated Maximum Likelihood Approach via Particle Filtering," The Warwick Economics Research Paper Series (TWERPS) 897, University of Warwick, Department of Economics.
- Berger, Tino & Grabert, Sibylle & Kempa, Bernd, 2017. "Global macroeconomic uncertainty," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 42-56.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2020. "The economic drivers of volatility and uncertainty," Temi di discussione (Economic working papers) 1285, Bank of Italy, Economic Research and International Relations Area.
- Boufateh, Talel & Saadaoui, Zied, 2021. "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 102(C).
- Cem Cakmakli & Hamza Demircan, 2020. "Using Survey Information for Improving the Density Nowcasting of US GDP with a Focus on Predictive Performance during Covid-19 Pandemic," Koç University-TUSIAD Economic Research Forum Working Papers 2016, Koc University-TUSIAD Economic Research Forum.
- Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhuang, Xin-Tian, 2018. "Modeling volatility dynamics using non-Gaussian stochastic volatility model based on band matrix routine," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 193-201.
- Gregor Kastner & Sylvia Fruhwirth-Schnatter & Hedibert Freitas Lopes, 2016. "Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models," Papers 1602.08154, arXiv.org, revised Jul 2017.
- Abanto-Valle, C.A. & Bandyopadhyay, D. & Lachos, V.H. & Enriquez, I., 2010. "Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 2883-2898, December.
- Skaug, Hans J. & Yu, Jun, 2014. "A flexible and automated likelihood based framework for inference in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 642-654.
- Huang, Jing-Zhi & Ni, Jun & Xu, Li, 2022. "Leverage effect in cryptocurrency markets," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
- McCausland, William J., 2012. "The HESSIAN method: Highly efficient simulation smoothing, in a nutshell," Journal of Econometrics, Elsevier, vol. 168(2), pages 189-206.
- Daichi Hiraki & Siddhartha Chib & Yasuhiro Omori, 2024. "Stochastic Volatility in Mean: Efficient Analysis by a Generalized Mixture Sampler," Papers 2404.13986, arXiv.org, revised Nov 2024.
- Florian Huber & Gregor Kastner & Michael Pfarrhofer, 2018. "Introducing shrinkage in heavy-tailed state space models to predict equity excess returns," Papers 1805.12217, arXiv.org, revised Jul 2019.
- Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007.
"Multivariate stochastic volatility,"
CIRJE F-Series
CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility," Microeconomics Working Papers 22058, East Asian Bureau of Economic Research.
- Qian Lin & Xianming Sun & Chao Zhou, 2019. "Horizon-unbiased Investment with Ambiguity," Papers 1904.09379, arXiv.org.
- Kostrzewski, Maciej & Kostrzewska, Jadwiga, 2019. "Probabilistic electricity price forecasting with Bayesian stochastic volatility models," Energy Economics, Elsevier, vol. 80(C), pages 610-620.
- Delatola, E.-I. & Griffin, J.E., 2013. "A Bayesian semiparametric model for volatility with a leverage effect," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 97-110.
- Dinghai Xu & John Knight, 2013. "Stochastic volatility model under a discrete mixture-of-normal specification," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 216-239, April.
- Arthur T. Rego & Thiago R. dos Santos, 2018. "Non-Gaussian Stochastic Volatility Model with Jumps via Gibbs Sampler," Papers 1809.01501, arXiv.org, revised Oct 2018.
- Sebastian Ankargren & Paulina Jon'eus, 2019. "Estimating Large Mixed-Frequency Bayesian VAR Models," Papers 1912.02231, arXiv.org.
- Umberto Triacca & Fulvia Focker, 2014. "Estimating overnight volatility of asset returns by using the generalized dynamic factor model approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(2), pages 235-254, October.
- Darjus Hosszejni & Gregor Kastner, 2019. "Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage," Papers 1901.11491, arXiv.org, revised Nov 2019.
- Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Cross, Jamie L. & Hou, Chenghan & Trinh, Kelly, 2021. "Returns, volatility and the cryptocurrency bubble of 2017–18," Economic Modelling, Elsevier, vol. 104(C).
- Tak Kuen Siu, 2023. "Bayesian nonlinear expectation for time series modelling and its application to Bitcoin," Empirical Economics, Springer, vol. 64(1), pages 505-537, January.
- Osman Dou{g}an & Raffaele Mattera & Philipp Otto & Suleyman Tac{s}p{i}nar, 2024. "A Dynamic Spatiotemporal and Network ARCH Model with Common Factors," Papers 2410.16526, arXiv.org.
- Berger, Tino & Richter, Julia, 2017. "What has caused global business cycle decoupling: Smaller shocks or reduced sensitivity?," University of Göttingen Working Papers in Economics 300, University of Goettingen, Department of Economics.
- Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
- T. R. Santos, 2018. "A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach," Papers 1809.01489, arXiv.org.
- Asai, Manabu & McAleer, Michael, 2009. "The structure of dynamic correlations in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 150(2), pages 182-192, June.
- Naoki Awaya & Yasuhiro Omori, 2021. "Particle Rolling MCMC with Double-Block Sampling ," CIRJE F-Series CIRJE-F-1175, CIRJE, Faculty of Economics, University of Tokyo.
- Zhou, Xiaocong & Nakajima, Jouchi & West, Mike, 2014. "Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 963-980.
- Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Sanha Noh, 2020. "Posterior Inference on Parameters in a Nonlinear DSGE Model via Gaussian-Based Filters," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 795-841, December.
- Watanabe, Toshiaki & Nakajima, Jouchi, 2023. "High-frequency realized stochastic volatility model," Discussion paper series HIAS-E-127, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Annika Camehl & Tomasz Wo'zniak, 2023. "Time-Varying Identification of Monetary Policy Shocks," Papers 2311.05883, arXiv.org, revised May 2024.
- Nonejad, Nima, 2017. "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 61(C), pages 388-408.
- Yasuhiro Omori & Toshiaki Watanabe, 2007. "Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models (Published in "Computational Statistics and Data Analysis", 52-6, 2892-2910. February 2008. )," CARF F-Series CARF-F-103, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Jonathan R. Stroud & Michael S. Johannes, 2014. "Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1368-1384, December.
- Ming Ma & Jing Zhang, 2023. "RETRACTED ARTICLE: A Bayesian analysis based on multivariate stochastic volatility model: evidence from green stocks," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-14, January.
- James H. Stock & Mark W. Watson, 2019. "Trend, Seasonal, and Sectoral Inflation in the Euro Area," Working Papers 2019-30, Princeton University. Economics Department..
- Omar Abbara & Mauricio Zevallos, 2022. "Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models," Econometrics, MDPI, vol. 11(1), pages 1-18, December.
- Kleppe, Tore Selland & Skaug, Hans Julius, 2012. "Fitting general stochastic volatility models using Laplace accelerated sequential importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3105-3119.
- Cem Çakmakli, 2012. "Bayesian Semiparametric Dynamic Nelson-Siegel Model," Working Paper series 59_12, Rimini Centre for Economic Analysis, revised Sep 2012.
- Noriyuki Kunimoto & Kazuhiko Kakamu, 2021. "Is Bitcoin really a currency? A viewpoint of a stochastic volatility model," Papers 2111.15351, arXiv.org.
- Osman Doğan & Süleyman Taşpınar & Anil K. Bera, 2021. "Bayesian estimation of stochastic tail index from high-frequency financial data," Empirical Economics, Springer, vol. 61(5), pages 2685-2711, November.
- Carlos A. Abanto-Valle & Hernán B. Garrafa-Aragón, 2019. "Threshold Stochastic Volatility Models with Heavy Tails:A Bayesian Approach," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 32-53.
- Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
- Smith Daniel R, 2009. "Asymmetry in Stochastic Volatility Models: Threshold or Correlation?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(3), pages 1-36, May.
- Shin-Ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2006.
"Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies under Financial Distress,"
Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 11(4), pages 482-501.
Cited by:
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2007.
"The Role of Trade Credit for Small Firms: An Implication from Japan's Banking Crisis,"
Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 3(1), pages 27-50, December.
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2006. "The Role of Trade Credit for Small Firms: An Implication from Japan's Banking Crisis," CARF F-Series CARF-F-078, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Fukuda, Shin-ichi & 福田, 慎一 & フクダ, シンイチ & Kasuya, Munehisa & 粕谷, 宗久 & カスヤ, ムネヒサ & Akashi, Kentaro & 赤司, 健太郎, 2006. "The Role of Trade Credit for Small Firms: An Implication from Japan's Banking Crisis," CEI Working Paper Series 2006-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2006. "The Role of Trade Credit for Small Firms: An Implication from Japan's Banking Crisis," CIRJE F-Series CIRJE-F-440, CIRJE, Faculty of Economics, University of Tokyo.
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2006. "The Role of Trade Credit for Small Firms: An Implication from Japan's Banking Crisis," Bank of Japan Working Paper Series 06-E-18, Bank of Japan.
- Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2018.
"The Role of Corporate Governance in Japanese Unlisted Companies,"
CIRJE F-Series
CIRJE-F-1081, CIRJE, Faculty of Economics, University of Tokyo.
- Fukuda, Shin-ichi & Kasuya, Munehisa & Nakajima, Jouchi, 2018. "The role of corporate governance in Japanese unlisted companies," Japan and the World Economy, Elsevier, vol. 47(C), pages 27-39.
- HOSONO Kaoru, 2009. "Financial Crisis, Firm Dynamics and Aggregate Productivity in Japan," Discussion papers 09012, Research Institute of Economy, Trade and Industry (RIETI).
- Uchida, Hirofumi & Miyakawa, Daisuke & Hosono, Kaoru & Ono, Arito & Uchino, Taisuke & Uesugi, Iichiro, 2014.
"Natural Disaster and Natural Selection,"
HIT-REFINED Working Paper Series
10, Institute of Economic Research, Hitotsubashi University.
- Uchida, Hirofumi & Miyakawa, Daisuke & Hosono, Kaoru & Ono, Arito & Uchino, Taisuke & Uesugi, Iichiro, 2013. "Natural Disaster and Natural Selection," Working Paper Series 25, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
- UCHIDA Hirofumi & MIYAKAWA Daisuke & HOSONO Kaoru & ONO Arito & UCHINO Taisuke & UESUGI Iichiro, 2014. "Natural Disaster and Natural Selection," Discussion papers 14055, Research Institute of Economy, Trade and Industry (RIETI).
- Berg, Tobias & Kaserer, Christoph, 2015.
"Does contingent capital induce excessive risk-taking?,"
Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems
488, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
- Berg, Tobias & Kaserer, Christoph, 2015. "Does contingent capital induce excessive risk-taking?," Journal of Financial Intermediation, Elsevier, vol. 24(3), pages 356-385.
- Akiyoshi, Fumio & Kobayashi, Keiichiro, 2010. "Banking crisis and productivity of borrowing firms: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 22(3), pages 141-150, August.
- Kentaro Imai, 2013. "A Panel Study of Zombie SMEs in Japan: Identification, Borrowing and Investment Behavior," Discussion Papers in Economics and Business 13-16-Rev., Osaka University, Graduate School of Economics, revised Sep 2014.
- Hirofumi Uchida & Daisuke Miyakawa & Kaoru Hosono & Arito Ono & Taisuke Uchino & Ichiro Uesugi, 2015.
"Financial Shocks, Bankruptcy, and Natural Selection,"
Mo.Fi.R. Working Papers
110, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
- Uchida, Hirofumi & Miyakawa, Daisuke & Hosono, Kaoru & Ono, Arito & Uchino, Taisuke & Uesugi, Iichiro, 2015. "Financial shocks, bankruptcy, and natural selection," Japan and the World Economy, Elsevier, vol. 36(C), pages 123-135.
- Scott Wilbur, 2019. "Credit Guarantees and Zombie Firms," Working Papers hal-02382926, HAL.
- Santiago Carbó‐Valverde & Francisco Rodríguez‐Fernández & Gregory F. Udell, 2016. "Trade Credit, the Financial Crisis, and SME Access to Finance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(1), pages 113-143, February.
- Imai, Kentaro, 2016. "A panel study of zombie SMEs in Japan: Identification, borrowing and investment behavior," Journal of the Japanese and International Economies, Elsevier, vol. 39(C), pages 91-107.
- Kaihatsu, Sohei & Kurozumi, Takushi, 2014. "What caused Japan’s Great Stagnation in the 1990s? Evidence from an estimated DSGE model," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 217-235.
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2007. "The Role of Trade Credit for Small Firms : An Implication from Japan’s Banking Crisis," Finance Working Papers 22596, East Asian Bureau of Economic Research.
- Kentaro Imai, 2013. "A Panel Study of eZombie f SMEs in Japan: Identification, Borrowing and Investment Behavior," Discussion Papers in Economics and Business 13-16, Osaka University, Graduate School of Economics.
- Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2007.
"The Role of Trade Credit for Small Firms: An Implication from Japan's Banking Crisis,"
Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 3(1), pages 27-50, December.