Michele Modugno
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.RePEc Biblio mentions
As found on the RePEc Biblio, the curated bibliography of Economics:- Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013.
"Now-Casting and the Real-Time Data Flow,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237,
Elsevier.
- Martha Banbura & Domenico Giannone & Michèle Modugno & Lucrezia Reichlin, 2012. "Now-Casting and the Real-Time Data Flow," Working Papers ECARES ECARES 2012-026, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta & Modugno, Michele, 2013. "Now-casting and the real-time data flow," Working Paper Series 1564, European Central Bank.
- Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.
Mentioned in:
- Laura Coroneo & Domenico Giannone & Michele Modugno, 2014.
"Unspanned macroeconomic factors in the yield curve,"
Finance and Economics Discussion Series
2014-57, Board of Governors of the Federal Reserve System (U.S.).
- Laura Coroneo & Domenico Giannone & Michele Modugno, 2016. "Unspanned Macroeconomic Factors in the Yield Curve," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 472-485, July.
- Laura Coroneo & Domenico Giannone & Michèle Modugno, 2013. "Unspanned Macroeconomic Factors in the Yields Curve," Working Papers ECARES ECARES 2013-07, ULB -- Universite Libre de Bruxelles.
Mentioned in:
Working papers
- Luca Guerrieri & Michele Modugno, 2021.
"The Information Content of Stress Test Announcements,"
Finance and Economics Discussion Series
2021-012, Board of Governors of the Federal Reserve System (U.S.).
- Guerrieri, Luca & Modugno, Michele, 2024. "The information content of stress test announcements," Journal of Banking & Finance, Elsevier, vol. 160(C).
Cited by:
- Paul Glasserman & Mike Li, 2022. "Should Bank Stress Tests Be Fair?," Papers 2207.13319, arXiv.org, revised May 2023.
- Durrani, Agha & Ongena, Steven & Ponte Marques, Aurea, 2022. "The certification role of the EU-wide stress testing exercises in the stock market. What can we learn from the stress tests (2014-2021)?," Working Paper Series 2711, European Central Bank.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021.
"Back to the Present: Learning about the Euro Area through a Now-casting Model,"
International Finance Discussion Papers
1313, Board of Governors of the Federal Reserve System (U.S.).
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024. "Back to the present: Learning about the euro area through a now-casting model," International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
Cited by:
- Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
- Arce-Alfaro, Gabriel & Blagov, Boris, 2021. "Heterogeneity, co-movements and financial fragmentation within the euro area," Ruhr Economic Papers 927, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
- Michiel De Pooter & Giovanni Favara & Michele Modugno & Jason J. Wu, 2020.
"Monetary Policy Uncertainty and Monetary Policy Surprises,"
Finance and Economics Discussion Series
2020-032, Board of Governors of the Federal Reserve System (U.S.).
- De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 112(C).
Cited by:
- Altmeyer, Patrick & Boneva, Leva & Kinston, Rafael & Saha, Shreyosi & Stoja, Evarist, 2023. "Yield curve sensitivity to investor positioning around economic shocks," Bank of England working papers 1029, Bank of England.
- Yang Hu & Yanran Hong & Kai Feng & Jikai Wang, 2023. "Evaluating the Importance of Monetary Policy Uncertainty: The Long- and Short-Term Effects and Responses," Evaluation Review, , vol. 47(2), pages 264-286, April.
- Onur Polat, 2021. "Time-Varying Network Connectedness of G-7 Economic Policy Uncertainties: A Locally Stationary TVP-VAR Approach," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 7(2), pages 47-59, December.
- Bundick, Brent & Herriford, Trenton & Smith, A. Lee, 2024.
"The Term Structure of Monetary Policy Uncertainty,"
Journal of Economic Dynamics and Control, Elsevier, vol. 160(C).
- Brent Bundick & Trenton Herriford & Andrew Lee Smith, 2022. "The Term Structure of Monetary Policy Uncertainty," Research Working Paper RWP 2022-02, Federal Reserve Bank of Kansas City.
- Chao Liang & Yanran Hong & Luu Duc Toan Huynh & Feng Ma, 2023. "Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1543-1567, May.
- Jung, Alexander, 2023. "US monetary policy spillovers to European banks," Working Paper Series 2876, European Central Bank.
- Fraccaroli, Nicolò & Giovannini, Alessandro & Jamet, Jean-Francois, 2020.
"Central banks in parliaments: a text analysis of the parliamentary hearings of the Bank of England, the European Central Bank and the Federal Reserve,"
Working Paper Series
2442, European Central Bank.
- Nicolò Fraccaroli & Alessandro Giovannini & Jean-François Jamet & Eric Persson, 2023. "Central Banks in Parliaments: A Text Analysis of the Parliamentary Hearings of the Bank of England, the European Central Bank, and the Federal Reserve," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 543-600, June.
- Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
- Danilo Cascaldi-Garcia & Cisil Sarisoy & Juan M. Londono & Bo Sun & Deepa D. Datta & Thiago Ferreira & Olesya Grishchenko & Mohammad R. Jahan-Parvar & Francesca Loria & Sai Ma & Marius Rodriguez & Ilk, 2023.
"What Is Certain about Uncertainty?,"
Journal of Economic Literature, American Economic Association, vol. 61(2), pages 624-654, June.
- Danilo Cascaldi-Garcia & Deepa Dhume Datta & Thiago Revil T. Ferreira & Olesya V. Grishchenko & Mohammad R. Jahan-Parvar & Juan M. Londono & Francesca Loria & Sai Ma & Marius del Giudice Rodriguez & J, 2020. "What is Certain about Uncertainty?," International Finance Discussion Papers 1294, Board of Governors of the Federal Reserve System (U.S.).
- Matsumoto, Ryo & Morita, Hiroshi & Ono, Taiki, 2022. "Central Bank Information Effects in Japan : The Role of Uncertainty Channel," Discussion paper series HIAS-E-126, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Enrique Alberola & Carlos Cantú & Paolo Cavallino & Nikola Mirkov, 2022.
"Fiscal regimes and the exchange rate,"
Working Papers
2022-01, Swiss National Bank.
- Enrique Alberola-Ila & Carlos Cantú & Paolo Cavallino & Nikola Mirkov, 2021. "Fiscal regimes and the exchange rate," BIS Working Papers 950, Bank for International Settlements.
- Samuel Federico Kaplan & Arin Kerim Peren & Polyzos Efstathios & Spagnolo Nicola, 2022. "Stock Market Responses to Monetary Policy Shocks: Universal Firm-Level Evidence," Asociación Argentina de Economía Política: Working Papers 4571, Asociación Argentina de Economía Política.
- Sekandary, Ghezal & Bask, Mikael, 2023. "Monetary policy uncertainty, monetary policy surprises and stock returns," Journal of Economics and Business, Elsevier, vol. 124(C).
- Cho, Dooyeon & Im, Pullip, 2023. "Effects of monetary policy uncertainty on debt financing: Evidence from Korean heterogeneous firms," Journal of International Money and Finance, Elsevier, vol. 139(C).
- Long, Shaobo & Zuo, Yulan & Tian, Hao, 2023. "Asymmetries in multi-target monetary policy rule and the role of uncertainty: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 278-296.
- Han, Haozhe & Wang, Xingjian, 2023. "Monetary policy uncertainty and corporate cash holdings: Evidence from China," Journal of Financial Stability, Elsevier, vol. 67(C).
- Camelia Minoiu & Rebecca Zarutskie & Andrei Zlate, 2021. "Motivating Banks to Lend? Credit Spillover Effects of the Main Street Lending Program," Finance and Economics Discussion Series 2021-078, Board of Governors of the Federal Reserve System (U.S.).
- Botshekan , Mohammad Hashem & Takaloo , Amir & H. soureh , Reza & Abdollahi Poor , Mohammad Sadegh, 2021. "Global Economic Policy Uncertainty (GEPU) and Non-Performing Loans (NPL) in Iran's Banking System: Dynamic Correlation using the DCC-GARCH Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(2), pages 187-212, June.
- Elena Afanasyeva & Sam Jerow & Seung Jung Lee & Michele Modugno, 2020.
"Sowing the Seeds of Financial Imbalances: The Role of Macroeconomic Performance,"
Finance and Economics Discussion Series
2020-028, Board of Governors of the Federal Reserve System (U.S.).
- Afanasyeva, Elena & Jerow, Sam & Lee, Seung Jung & Modugno, Michele, 2024. "Sowing the seeds of financial imbalances: The role of macroeconomic performance," Journal of Financial Stability, Elsevier, vol. 74(C).
Cited by:
- Elena Afanasyeva, 2020. "Can Forecast Errors Predict Financial Crises? Exploring the Properties of a New Multivariate Credit Gap," Finance and Economics Discussion Series 2020-045, Board of Governors of the Federal Reserve System (U.S.).
- Herwartz, Helmut & Roestel, Jan, 2022. "Asset prices, financial amplification and monetary policy: Structural evidence from an identified multivariate GARCH model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
- Yilmazkuday, Hakan, 2024.
"Geopolitical risks and energy uncertainty: Implications for global and domestic energy prices,"
Energy Economics, Elsevier, vol. 140(C).
- Hakan Yilmazkuday, 2024. "Geopolitical Risks and Energy Uncertainty: Implications for Global and Domestic Energy Prices," Working Papers 2413, Florida International University, Department of Economics.
- Jack McCoy & Michele Modugno & Berardino Palazzo & Steven A. Sharpe, 2020.
"Macroeconomic News and Stock Prices Over the FOMC Cycle,"
FEDS Notes
2020-10-14-1, Board of Governors of the Federal Reserve System (U.S.).
Cited by:
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Michiel De Pooter & Giovanni Favara & Michele Modugno & Jason J. Wu, 2018.
"Monetary Policy Surprises and Monetary Policy Uncertainty,"
FEDS Notes
2018-05-18, Board of Governors of the Federal Reserve System (U.S.).
Cited by:
- Oguzhan Cepni & Rangan Gupta, 2020.
"Time-Varying Impact of Monetary Policy Shocks on U.S. Stock Returns: The Role of Investor Sentiment,"
Working Papers
202039, University of Pretoria, Department of Economics.
- Cepni, Oguzhan & Gupta, Rangan, 2021. "Time-varying impact of monetary policy shocks on US stock returns: The role of investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
- Tarek Chebbi, 2021. "The response of precious metal futures markets to unconventional monetary surprises in the presence of uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1897-1916, April.
- Aeimit Lakdawala & Michael Bauer & Philippe Mueller, 2019.
"Market-Based Monetary Policy Uncertainty,"
2019 Meeting Papers
1403, Society for Economic Dynamics.
- Michael D Bauer & Aeimit Lakdawala & Philippe Mueller, 2022. "Market-Based Monetary Policy Uncertainty," The Economic Journal, Royal Economic Society, vol. 132(644), pages 1290-1308.
- Michael D. Bauer & Aeimit K. Lakdawala & Philippe Mueller, 2021. "Market-Based Monetary Policy Uncertainty," Working Paper Series 2019-12, Federal Reserve Bank of San Francisco.
- Michael D. Bauer & Aeimit Lakdawala & Philippe Mueller, 2019. "Market-based monetary policy uncertainty," CESifo Working Paper Series 7621, CESifo.
- Jonathan Goldberg & Elizabeth C. Klee & Edward Simpson Prescott & Paul R. Wood, 2020. "Monetary Policy Strategies and Tools: Financial Stability Considerations," Finance and Economics Discussion Series 2020-074, Board of Governors of the Federal Reserve System (U.S.).
- Lucas F. Husted & John H. Rogers & Bo Sun, 2017.
"Monetary Policy Uncertainty,"
International Finance Discussion Papers
1215, Board of Governors of the Federal Reserve System (U.S.).
- Husted, Lucas & Rogers, John & Sun, Bo, 2020. "Monetary policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 20-36.
- Lakdawala, Aeimit, 2021. "The growing impact of US monetary policy on emerging financial markets: Evidence from India," Journal of International Money and Finance, Elsevier, vol. 119(C).
- Oguzhan Cepni & Rangan Gupta, 2020.
"Time-Varying Impact of Monetary Policy Shocks on U.S. Stock Returns: The Role of Investor Sentiment,"
Working Papers
202039, University of Pretoria, Department of Economics.
- Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016.
"Nowcasting Turkish GDP and News Decomposition,"
Finance and Economics Discussion Series
2016-044, Board of Governors of the Federal Reserve System (U.S.).
- Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016. "Nowcasting Turkish GDP and news decomposition," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
Cited by:
- Tony Chernis & Calista Cheung & Gabriella Velasco, 2017.
"A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth,"
Discussion Papers
17-8, Bank of Canada.
- Chernis, Tony & Cheung, Calista & Velasco, Gabriella, 2020. "A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth," International Journal of Forecasting, Elsevier, vol. 36(3), pages 851-872.
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
- Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
- Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
- Laurent Ferrara & Anna Simoni, 2023.
"When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage,"
Post-Print
hal-03919944, HAL.
- Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers 2019-04, Center for Research in Economics and Statistics.
- Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers hal-04159714, HAL.
- Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
- Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working papers 717, Banque de France.
- Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Papers 2007.00273, arXiv.org, revised Sep 2022.
- Laurent Ferrara & Anna Simoni, 2023. "When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1188-1202, October.
- Barış Soybilgen & Ege Yazgan, 2018.
"Nowcasting the New Turkish GDP,"
Economics Bulletin, AccessEcon, vol. 38(2), pages 1083-1089.
- Baris Soybilgen & Ege Yazgan, 2017. "Nowcasting The New Turkish Gdp," Working Papers 1702, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
- Tóth, Peter, 2017.
"Nowcasting Slovak GDP by a Small Dynamic Factor Model,"
MPRA Paper
77245, University Library of Munich, Germany.
- Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
- Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2024. "Big data financial transactions and GDP nowcasting: The case of Turkey," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 227-248, March.
- Glocker, Christian & Kaniovski, Serguei, 2020. "Structural modeling and forecasting using a cluster of dynamic factor models," MPRA Paper 101874, University Library of Munich, Germany.
- Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas & Irena Pekarskiene, 2024. "Future directions in nowcasting economic activity: A systematic literature review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1199-1233, September.
- Mahmut Gunay, 2018. "Nowcasting Annual Turkish GDP Growth with MIDAS," CBT Research Notes in Economics 1810, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Bragoli, Daniela & Modugno, Michele, 2017.
"A now-casting model for Canada: Do U.S. variables matter?,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
- Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
- Porshakov, A. & Ponomarenko, A. & Sinyakov, A., 2016.
"Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model,"
Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 60-76.
- Alexey Porshakov & Elena Deryugina & Alexey Ponomarenko & Andrey Sinyakov, 2015. "Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model," Bank of Russia Working Paper Series wps2, Bank of Russia.
- Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
- Konstantin S. Rybak, 2023. "Evaluating the Role of Global Factors in GDP Nowcasting [Анализ Важности Глобальных Факторов Для Наукастинга Ввп]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
- Daniel Kaufmann & Rolf Scheufele, 2015.
"Business tendency surveys and macroeconomic fluctuations,"
KOF Working papers
15-378, KOF Swiss Economic Institute, ETH Zurich.
- Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
- Christian Glocker & Serguei Kaniovski, 2022.
"Macroeconometric forecasting using a cluster of dynamic factor models,"
Empirical Economics, Springer, vol. 63(1), pages 43-91, July.
- Christian Glocker & Serguei Kaniovski, 2020. "Macroeconometric Forecasting Using a Cluster of Dynamic Factor Models," WIFO Working Papers 614, WIFO.
- Cepni, Oguzhan & Güney, I. Ethem & Swanson, Norman R., 2019. "Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes," International Journal of Forecasting, Elsevier, vol. 35(2), pages 555-572.
- Caruso, Alberto, 2019.
"Macroeconomic news and market reaction: Surprise indexes meet nowcasting,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
- Alberto Caruso, 2018. "Macroeconomic News and Market Reaction: Surprise Indexes meet Nowcasting," Working Papers ECARES 2018-06, ULB -- Universite Libre de Bruxelles.
- Konstantin S. Rybak, 2023. "Анализ Важности Глобальных Факторов Для Наукастинга Ввп," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023.
"Lessons from Nowcasting GDP across the World,"
International Finance Discussion Papers
1385, Board of Governors of the Federal Reserve System (U.S.).
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
- Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2021. "Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey," Papers 2107.03299, arXiv.org.
- Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
- Barış Soybilgen & M. Ege Yazgan & Hüseyin Kaya, 2023. "Nowcasting Turkish Food Inflation Using Daily Online Prices," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 171-190, September.
- Osbat, Chiara & D'Agostino, Antonello & Modugno, Michele, 2016.
"A global trade model for the euro area,"
Working Paper Series
1986, European Central Bank.
- Antonello D’Agostino & Michele Modugno & Chiara Osbat, 2017. "A Global Trade Model for the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 1-34, December.
- Antonello D'Agostino & Michele Modugno & Chiara Osbat, 2015. "A Global Trade Model for the Euro Area," Finance and Economics Discussion Series 2015-13, Board of Governors of the Federal Reserve System (U.S.).
Cited by:
- Behrens, Christoph, 2019. "Evaluating the Joint Efficiency of German Trade Forecasts. A nonparametric multivariate approach," Working Papers 9, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
- Jason Angelopoulos, 2017. "Creating and assessing composite indicators: Dynamic applications for the port industry and seaborne trade," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(1), pages 126-159, March.
- Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016.
"Nowcasting Turkish GDP and news decomposition,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
- Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016. "Nowcasting Turkish GDP and News Decomposition," Finance and Economics Discussion Series 2016-044, Board of Governors of the Federal Reserve System (U.S.).
- Bragoli, Daniela & Modugno, Michele, 2017.
"A now-casting model for Canada: Do U.S. variables matter?,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
- Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
- Behrens, Christoph, 2020. "German trade forecasts since 1970: An evaluation using the panel dimension," Working Papers 26, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
- Christian Grimme & Robert Lehmann & Marvin Noeller, 2019.
"Forecasting Imports with Information from Abroad,"
ifo Working Paper Series
294, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Christian Grimme & Robert Lehmann & Marvin Noeller, 2018. "Forecasting Imports with Information from Abroad," CESifo Working Paper Series 7079, CESifo.
- Grimme, Christian & Lehmann, Robert & Noeller, Marvin, 2021. "Forecasting imports with information from abroad," Economic Modelling, Elsevier, vol. 98(C), pages 109-117.
- Christoph Behrens, 2019. "A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss," Economies, MDPI, vol. 7(3), pages 1-23, September.
- André Binette & Tony Chernis & Daniel de Munnik, 2017. "Global Real Activity for Canadian Exports: GRACE," Discussion Papers 17-2, Bank of Canada.
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023.
"Lessons from Nowcasting GDP across the World,"
International Finance Discussion Papers
1385, Board of Governors of the Federal Reserve System (U.S.).
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
- Daniela Bragoli & Michele Modugno, 2016.
"A Nowcasting Model for Canada: Do U.S. Variables Matter?,"
Finance and Economics Discussion Series
2016-036, Board of Governors of the Federal Reserve System (U.S.).
- Bragoli, Daniela & Modugno, Michele, 2017. "A now-casting model for Canada: Do U.S. variables matter?," International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
Cited by:
- Libero Monteforte & Valentina Raponi, 2019.
"Short‐term forecasts of economic activity: Are fortnightly factors useful?,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(3), pages 207-221, April.
- Libero Monteforte & Valentina Raponi, 2018. "Short term forecasts of economic activity: are fortnightly factors useful?," Temi di discussione (Economic working papers) 1177, Bank of Italy, Economic Research and International Relations Area.
- Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018.
"Uncertain kingdom: nowcasting GDP and its revisions,"
LSE Research Online Documents on Economics
90382, London School of Economics and Political Science, LSE Library.
- Anesti, Nikoleta & Galvão, Ana & Miranda-Agrippino, Silvia, 2018. "Uncertain Kingdom: nowcasting GDP and its revisions," Bank of England working papers 764, Bank of England, revised 31 Jan 2020.
- Nikoleta Anesti & Ana Beatriz Galvao & Silvia Miranda-Agrippino, 2018. "Uncertain Kingdom: Nowcasting GDP and its Revisions," Discussion Papers 1824, Centre for Macroeconomics (CFM).
- Tony Chernis & Calista Cheung & Gabriella Velasco, 2017.
"A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth,"
Discussion Papers
17-8, Bank of Canada.
- Chernis, Tony & Cheung, Calista & Velasco, Gabriella, 2020. "A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth," International Journal of Forecasting, Elsevier, vol. 36(3), pages 851-872.
- Tony Chernis & Rodrigo Sekkel, 2017.
"A dynamic factor model for nowcasting Canadian GDP growth,"
Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
- Tony Chernis & Rodrigo Sekkel, 2017. "A Dynamic Factor Model for Nowcasting Canadian GDP Growth," Staff Working Papers 17-2, Bank of Canada.
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
- Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.
- Timo Wollmershäuser & Marcell Göttert & Christian Grimme & Stefan Lautenbacher & Robert Lehmann & Sebastian Link & Manuel Menkhoff & Sascha Möhrle & Ann-Christin Rathje & Magnus Reif & Pauliina Sandqv, 2020. "ifo Konjunkturprognose Winter 2020: Das Coronavirus schlägt zurück – erneuter Shutdown bremst Konjunktur ein zweites Mal aus," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(Sonderaus), pages 03-61, December.
- Antoine Poulin-Moore & Kerem Tuzcuoglu, 2024. "Forecasting Recessions in Canada: An Autoregressive Probit Model Approach," Staff Working Papers 24-10, Bank of Canada.
- Caruso, Alberto, 2019.
"Macroeconomic news and market reaction: Surprise indexes meet nowcasting,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
- Alberto Caruso, 2018. "Macroeconomic News and Market Reaction: Surprise Indexes meet Nowcasting," Working Papers ECARES 2018-06, ULB -- Universite Libre de Bruxelles.
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023.
"Lessons from Nowcasting GDP across the World,"
International Finance Discussion Papers
1385, Board of Governors of the Federal Reserve System (U.S.).
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
- Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
- Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
- Robert Lehmann & Magnus Reif & Timo Wollmershäuser, 2020. "ifoCAST: Der neue Prognosestandard des ifo Instituts," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(11), pages 31-39, November.
- Jaya Kumari & Ramin Karim & Adithya Thaduri & Pierre Dersin, 2022. "A framework for now-casting and forecasting in augmented asset management," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2640-2655, October.
- David Aikman & Andreas Lehnert & J. Nellie Liang & Michele Modugno, 2016.
"Financial Vulnerabilities, Macroeconomic Dynamics, and Monetary Policy,"
Finance and Economics Discussion Series
2016-055, Board of Governors of the Federal Reserve System (U.S.).
Cited by:
- Boyarchenko, Nina & Adrian, Tobias & Giannone, Domenico, 2020.
"Multimodality in Macro-Financial Dynamics,"
CEPR Discussion Papers
15088, C.E.P.R. Discussion Papers.
- Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019. "Multimodality in Macro-Financial Dynamics," Staff Reports 903, Federal Reserve Bank of New York.
- Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2021. "Multimodality In Macrofinancial Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 861-886, May.
- Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
- Malovaná, Simona & Frait, Jan, 2017.
"Monetary policy and macroprudential policy: Rivals or teammates?,"
Journal of Financial Stability, Elsevier, vol. 32(C), pages 1-16.
- Simona Malovana & Jan Frait, 2016. "Monetary Policy and Macroprudential Policy: Rivals or Teammates?," Working Papers 2016/06, Czech National Bank.
- Simona Malovana & Jan Frait, 2016. "Monetary Policy and Macroprudential Policy: Rivals or Teammates?," Working Papers IES 2016/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2016.
- Tobias Adrian & J. Nellie Liang, 2014.
"Monetary policy, financial conditions, and financial stability,"
Staff Reports
690, Federal Reserve Bank of New York.
- Tobias Adrian & Nellie Liang, 2014. "Monetary Policy, Financial Conditions, and Financial Stability," IMES Discussion Paper Series 14-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
- Adrian, Tobias & Liang, Nellie, 2016. "Monetary Policy, Financial Conditions, and Financial Stability," CEPR Discussion Papers 11394, C.E.P.R. Discussion Papers.
- Tobias Adrian & Nellie Liang, 2018. "Monetary Policy, Financial Conditions, and Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 14(1), pages 73-131, January.
- Aikman, David & Haldane, Andrew & Hinterschweiger, Marc & Kapadia, Sujit, 2018. "Rethinking financial stability," Bank of England working papers 712, Bank of England.
- Wang, Bo & Li, Haoran, 2021. "Downside risk, financial conditions and systemic risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
- Martinez-Miera, David & Repullo, Rafael, 2019.
"Monetary policy, macroprudential policy, and financial stability,"
Working Paper Series
2297, European Central Bank.
- David Martinez-Miera & Rafael Repullo, 2019. "Monetary Policy, Macroprudential Policy, and Financial Stability," Working Papers wp2019_1901, CEMFI.
- David Martinez-Miera & Rafael Repullo, 2019. "Monetary Policy, Macroprudential Policy, and Financial Stability," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 809-832, August.
- Repullo, Rafael & Martinez-Miera, David, 2019. "Monetary Policy, Macroprudential Policy, and Financial Stability," CEPR Discussion Papers 13530, C.E.P.R. Discussion Papers.
- Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
- Scott A. Brave & Jose A. Lopez, 2018.
"Calibrating Macroprudential Policy to Forecasts of Financial Stability,"
Working Paper Series
2017-17, Federal Reserve Bank of San Francisco.
- Scott A. Brave & Jose A. Lopez, 2019. "Calibrating Macroprudential Policy to Forecasts of Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 15(1), pages 1-59, March.
- Zia Abbas & Syed Faizan Iftikhar & Shaista Alam, 2019. "Does bank capital affect the monetary policy transmission mechanism? A case study of Emerging Market Economies (EMEs)," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 1-20, June.
- Aikman, David & Bridges, Jonathan & Burgess, Stephen & Galletly, Richard & Levina, Iren & O'Neill, Cian & Varadi, Alexandra, 2018. "Measuring risks to UK financial stability," Bank of England working papers 738, Bank of England.
- Boyarchenko, Nina & Adrian, Tobias & Giannone, Domenico, 2020.
"Multimodality in Macro-Financial Dynamics,"
CEPR Discussion Papers
15088, C.E.P.R. Discussion Papers.
- Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015.
"Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models,"
Finance and Economics Discussion Series
2015-66, Board of Governors of the Federal Reserve System (U.S.).
- Antonello D’Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2016. "Nowcasting Business Cycles: A Bayesian Approach to Dynamic Heterogeneous Factor Models," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 569-594, Emerald Group Publishing Limited.
Cited by:
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2017.
"Tracking the slowdown in long-run GDP growth,"
LSE Research Online Documents on Economics
81869, London School of Economics and Political Science, LSE Library.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 86243, London School of Economics and Political Science, LSE Library.
- Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2014. "Tracking the Slowdown in Long-Run GDP Growth," Discussion Papers 1604, Centre for Macroeconomics (CFM), revised Jan 2016.
- Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," Bank of England working papers 587, Bank of England.
- Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015.
"Nowcasting Indonesia,"
ADB Economics Working Paper Series
471, Asian Development Bank.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2018. "Nowcasting Indonesia," Empirical Economics, Springer, vol. 55(2), pages 597-619, September.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015. "Nowcasting Indonesia," Finance and Economics Discussion Series 2015-100, Board of Governors of the Federal Reserve System (U.S.).
- Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021.
"Nowcasting with Large Bayesian Vector Autoregressions,"
CEPR Discussion Papers
15854, C.E.P.R. Discussion Papers.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022. "Nowcasting with large Bayesian vector autoregressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023.
"Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails,"
CEPR Discussion Papers
17800, C.E.P.R. Discussion Papers.
- Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
- George Monokroussos & Yongchen Zhao, 2020.
"Nowcasting in Real Time Using Popularity Priors,"
Working Papers
2020-01, Towson University, Department of Economics, revised Feb 2020.
- Monokroussos, George, 2015. "Nowcasting in Real Time Using Popularity Priors," MPRA Paper 68594, University Library of Munich, Germany.
- Monokroussos, George & Zhao, Yongchen, 2020. "Nowcasting in real time using popularity priors," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1173-1180.
- Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018.
"Macroeconomic Nowcasting and Forecasting with Big Data,"
Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
- Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017. "Macroeconomic nowcasting and forecasting with big data," Staff Reports 830, Federal Reserve Bank of New York.
- Giannone, Domenico & Tambalotti, Andrea & Sbordone, Argia & Bok, Brandyn & Caratelli, Daniele, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," CEPR Discussion Papers 12589, C.E.P.R. Discussion Papers.
- Beetsma, Roel & Cimadomo, Jacopo & van Spronsen, Josha, 2022.
"One Scheme Fits All: A Central Fiscal Capacity for the EMU Targeting Eurozone, National and Regional Shocks,"
CEPR Discussion Papers
16829, C.E.P.R. Discussion Papers.
- Beetsma, Roel & Cimadomo, Jacopo & van Spronsen, Josha, 2024. "One scheme fits all: A central fiscal capacity for the EMU targeting eurozone, national and regional shocks," European Economic Review, Elsevier, vol. 165(C).
- Beetsma, Roel & Cimadomo, Jacopo & van Spronsen, Josha, 2022. "One scheme fits all: a central fiscal capacity for the EMU targeting eurozone, national and regional shocks," Working Paper Series 2666, European Central Bank.
- D'Agostino, Antonello & Cimadomo, Jacopo, 2015.
"Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy,"
Working Paper Series
1856, European Central Bank.
- Antonello D’Agostino & Jacopo Cimadomo, 2015. "Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy," Working Papers 7, European Stability Mechanism.
- Jacopo Cimadomo & Antonello D'Agostino, 2016. "Combining Time Variation and Mixed Frequencies: an Analysis of Government Spending Multipliers in Italy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1276-1290, November.
- Marek Jarociński & Michele Lenza, 2018.
"An Inflation‐Predicting Measure of the Output Gap in the Euro Area,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1189-1224, September.
- Lenza, Michele & Jarociński, Marek, 2016. "An inflation-predicting measure of the output gap in the euro area," Working Paper Series 1966, European Central Bank.
- Nataliia Ostapenko, 2022. "Do output gap estimates improve inflation forecasts in Slovakia?," Working and Discussion Papers WP 4/2022, Research Department, National Bank of Slovakia.
- Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
- Scott A. Brave & R. Andrew Butters & David Kelley, 2019. "A New “Big Data” Index of U.S. Economic Activity," Economic Perspectives, Federal Reserve Bank of Chicago, issue 1, pages 1-30.
- Robert Lehmann & Magnus Reif & Timo Wollmershäuser, 2020. "ifoCAST: Der neue Prognosestandard des ifo Instituts," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(11), pages 31-39, November.
- Petrella, Ivan & Santoro, Emiliano & Simonsen, Lasse de la Porte, 2018. "Time-varying Price Flexibility and Inflation Dynamics," CEPR Discussion Papers 13027, C.E.P.R. Discussion Papers.
- Carlo Altavilla & Domenico Giannone & Michèle Modugno, 2014.
"Low Frequency Effects of Macroeconomic News on Government Bond Yields,"
Working Papers ECARES
ECARES 2014-34, ULB -- Universite Libre de Bruxelles.
- Altavilla, Carlo & Giannone, Domenico & Modugno, Michele, 2017. "Low frequency effects of macroeconomic news on government bond yields," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 31-46.
- Carlo Altavilla & Domenico Giannone & Michele Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," CSEF Working Papers 372, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Carlo Altavilla & Domenico Giannone & Michele Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Finance and Economics Discussion Series 2014-52, Board of Governors of the Federal Reserve System (U.S.).
Cited by:
- Moench, Emanuel & Soofi-Siavash, Soroosh, 2022.
"What moves treasury yields?,"
Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
- Soroosh Soofi-Siavash & Emanuel Moench, 2021. "What Moves Treasury Yields?," Bank of Lithuania Working Paper Series 88, Bank of Lithuania.
- Moench, Emanuel & Soofi Siavash, Soroosh, 2022. "What Moves Treasury Yields?," CEPR Discussion Papers 15978, C.E.P.R. Discussion Papers.
- Benjamin Born & Zeno Enders & Manuel Menkhoff & Gernot J. Müller & Knut Niemann, 2023.
"Firm Expectations and News: Micro v Macro,"
ifo Working Paper Series
400, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Born, Benjamin & Enders, Zeno & Menkhoff, Manuel & Müller, Gernot J. & Niemann, Knut, 2023. "Firm expectations and news: Micro v macro," Working Papers 43, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
- Born, Benjamin & Enders, Zeno & Menkhoff, Manuel & Müller, Gernot & Niemann, Knut, 2022. "Firm Expectations and News: Micro v Macro," CEPR Discussion Papers 17768, C.E.P.R. Discussion Papers.
- Benjamin Born & Zeno Enders & Manuel Menkhoff & Gernot J. Müller & Knut Niemann & Gernot Müller, 2022. "Firm Expectations and News: Micro v Macro," CESifo Working Paper Series 10192, CESifo.
- Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
- François Gourio & Phuong Ngo, 2020.
"Risk Premia at the ZLB: A Macroeconomic Interpretation,"
Working Paper Series
WP 2020-01, Federal Reserve Bank of Chicago.
- Phuong Ngo & Francois Gourio, 2016. "Risk Premia at the ZLB: a macroeconomic interpretation," 2016 Meeting Papers 1585, Society for Economic Dynamics.
- François Gourio & Phuong Ngo, 2020. "Risk Premia at the ZLB: A Macroeconomic Interpretation," Working Paper Series WP-2020-01, Federal Reserve Bank of Chicago.
- Miranda-Agrippino, Silvia, 2016.
"Unsurprising shocks: information, premia, and the monetary transmission,"
Bank of England working papers
626, Bank of England.
- Miranda-Agrippino, Silvia, 2016. "Unsurprising shocks: information, Premia, and the Monetary Transmission," LSE Research Online Documents on Economics 86234, London School of Economics and Political Science, LSE Library.
- Silvia Miranda-Agrippino, 2015. "Unsurprising Shocks: Information, Premia, and the Monetary Transmission," Discussion Papers 1613, Centre for Macroeconomics (CFM), revised Apr 2016.
- Stavrakeva, Vania & Tang, Jenny, 2023.
"A Fundamental Connection: Exchange Rates and Macroeconomic Expectations,"
CEPR Discussion Papers
18119, C.E.P.R. Discussion Papers.
- Vania Stavrakeva & Jenny Tang, 2020. "A Fundamental Connection: Exchange Rates and Macroeconomic Expectations," Working Papers 20-20, Federal Reserve Bank of Boston.
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- Ann Xing, Bingxin & Feunou, Bruno & Nongni-Donfack, Morvan & Sekkel, Rodrigo, 2024. "U.S. macroeconomic news and low-frequency changes in bond yields in Canada, Sweden and the U.K," Journal of Banking & Finance, Elsevier, vol. 168(C).
- Banerjee, Ameet Kumar & Dionisio, Andreia & Pradhan, H.K. & Mahapatra, Biplab, 2021. "Hunting the quicksilver: Using textual news and causality analysis to predict market volatility," International Review of Financial Analysis, Elsevier, vol. 77(C).
- Ingomar Krohn & Vladyslav Sushko & Witit Synsatayakul, 2023. "Foreign investor feedback trading in an emerging financial market," BIS Working Papers 1154, Bank for International Settlements.
- Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018.
"Macroeconomic Nowcasting and Forecasting with Big Data,"
Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
- Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017. "Macroeconomic nowcasting and forecasting with big data," Staff Reports 830, Federal Reserve Bank of New York.
- Giannone, Domenico & Tambalotti, Andrea & Sbordone, Argia & Bok, Brandyn & Caratelli, Daniele, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," CEPR Discussion Papers 12589, C.E.P.R. Discussion Papers.
- Philippe Andrade & Filippo Ferroni, 2016.
"Delphic and Odyssean monetary policy shocks: Evidence from the euro-area,"
School of Economics Discussion Papers
1216, School of Economics, University of Surrey.
- Andrade, Philippe & Ferroni, Filippo, 2021. "Delphic and odyssean monetary policy shocks: Evidence from the euro area," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 816-832.
- Philippe Andrade & Filippo Ferroni, 2018. "Delphic and Odyssean Monetary Policy Shocks: Evidence from the Euro Area," Working Paper Series WP-2018-12, Federal Reserve Bank of Chicago.
- Philippe Andrade & Filippo Ferroni, 2019. "Delphic and Odyssean Monetary Policy Shocks: Evidence from the Euro Area," Working Papers 19-17, Federal Reserve Bank of Boston.
- Filippo Ferroni, 2018. "Delphic and Odyssean monetary policy shocks: Evidence from the euro-area," 2018 Meeting Papers 60, Society for Economic Dynamics.
- Andrey Duván Rincón-Torres & Luisa María de la Hortúa-Pulido & Kimberly Rojas-Silva & Juan Manuel Julio-Román, 2023. "The Low Frequency Effect of Macroeconomic News on Colombian Government Bond Yields," Borradores de Economia 1263, Banco de la Republica de Colombia.
- Christoph E. Boehm & Niklas Kroner, 2023.
"The US, Economic News, and the Global Financial Cycle,"
International Finance Discussion Papers
1371, Board of Governors of the Federal Reserve System (U.S.).
- Christoph E. Boehm & T. Niklas Kroner, 2020. "The US, Economic News, and the Global Financial Cycle," Working Papers 677, Research Seminar in International Economics, University of Michigan.
- Christoph E. Boehm & T. Niklas Kroner, 2023. "The US, Economic News, and the Global Financial Cycle," NBER Working Papers 30994, National Bureau of Economic Research, Inc.
- Dumitru, Ana-Maria & Urga, Giovanni, 2016. "Jumps and Information Asymmetry in the US Treasury Market," EconStor Preprints 130148, ZBW - Leibniz Information Centre for Economics.
- Bingxin Ann Xing & Bruno Feunou & Morvan Nongni-Donfack & Rodrigo Sekkel, 2024. "U.S. Macroeconomic News and Low-Frequency Changes in Small Open Economies’ Bond Yields," Staff Working Papers 24-12, Bank of Canada.
- Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2014.
"Macro News and Bond Yield Spreads in the Euro Area,"
Discussion Papers of DIW Berlin
1413, DIW Berlin, German Institute for Economic Research.
- Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2014. "Macro News and Bond Yield Spreads in the Euro Area," CESifo Working Paper Series 5008, CESifo.
- Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2018. "Macro news and bond yield spreads in the euro area," The European Journal of Finance, Taylor & Francis Journals, vol. 24(2), pages 114-134, January.
- Rasmus Fatum & Naoko Hara & Yohei Yamamoto, 2019.
"Negative Interest Rate Policy and the Influence of Macroeconomic News on Yields,"
IMES Discussion Paper Series
19-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
- Rasmus Fatum & Naoko Hara & Yohei Yamamoto, 2019. "Negative Interest Rate Policy and the Influence of Macroeconomic News on Yields," Globalization Institute Working Papers 354, Federal Reserve Bank of Dallas.
- Rasmus Fatum & Naoko Hara & Yohei Yamamoto, 2019. "Negative Interest Rate Policy and the Influence of Macroeconomic News on Yields," GRU Working Paper Series GRU_2019_006, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
- Rasmus Fatum & Naoko Hara & Yohei Yamamoto, 2024. "Negative Interest Rate Policy and the Influence of Macro‐Economic News on Yields," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(5), pages 1261-1285, August.
- Eguren-Martin, Fernando & McLaren, Nick, 2015. "How much do UK market interest rates respond to macroeconomic data news?," Bank of England Quarterly Bulletin, Bank of England, vol. 55(3), pages 259-272.
- Bruno Feunou & Jean-Sébastien Fontaine & Ingomar Krohn, 2022. "Real Exchange Rate Decompositions," Discussion Papers 2022-6, Bank of Canada.
- Bruno Feunou & Rodrigo Sekkel & Morvan Nongni Donfack, 2018. "Does US or Canadian Macro News Drive Canadian Bond Yields?," Staff Analytical Notes 2018-38, Bank of Canada.
- Wildmer Daniel Gregori & Wildmer Agnese Sacchi, 2016.
"Has the Grexit news spilled over into euro area financial markets? The role of domestic political leaders, supranational executives and institutions,"
Mo.Fi.R. Working Papers
134, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
- Gregori, Wildmer & Sacchi, Agnese, 2017. "Has the Grexit news affected euro area financial markets?," JRC Working Papers in Economics and Finance 2017-13, Joint Research Centre, European Commission.
- Goodell, John W. & Alon, Ilan & Chiaramonte, Laura & Dreassi, Alberto & Paltrinieri, Andrea & Piserà, Stefano, 2023. "Risk substitution in cryptocurrencies: Evidence from BRICS announcements," Emerging Markets Review, Elsevier, vol. 54(C).
- Michele Modugno & Berardino Palazzo, 2025. "Decoding Equity Market Reactions to Macroeconomic News," Finance and Economics Discussion Series 2025-007, Board of Governors of the Federal Reserve System (U.S.).
- Michiel De Pooter & Giovanni Favara & Michele Modugno & Jason J. Wu, 2020.
"Monetary Policy Uncertainty and Monetary Policy Surprises,"
Finance and Economics Discussion Series
2020-032, Board of Governors of the Federal Reserve System (U.S.).
- De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 112(C).
- Alberto Caruso, 2016. "The Impact of Macroeconomic News on the Euro-Dollar Exchange Rate," Working Papers ECARES ECARES 2016-32, ULB -- Universite Libre de Bruxelles.
- De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Reprint: Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 114(C).
- Guerino Ardizzi & Simone Emiliozzi & Juri Marcucci & Libero Monteforte, 2019. "News and consumer card payments," Temi di discussione (Economic working papers) 1233, Bank of Italy, Economic Research and International Relations Area.
- Andrew B. Martinez, 2025. "How do Macroeconomic Expectations React to Extreme Weather Shocks?," Working Papers 2025-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Patrick Hirsch & Lars P. Feld & Ekkehard A. Köhler & Tobias Thomas, 2024.
"“Whatever It Takes!” How Tonality of TV-News Affected Government Bond Yield Spreads during the European Debt Crisis,"
CESifo Working Paper Series
10980, CESifo.
- Hirsch, Patrick & Feld, Lars P. & Köhler, Ekkehard A. & Thomas, Tobias, 2024. "“Whatever It Takes!” How tonality of TV-news affected government bond yield spreads during the European debt crisis," European Journal of Political Economy, Elsevier, vol. 82(C).
- Julio E. Sandubete & León Beleña & Juan Carlos García-Villalobos, 2023. "Testing the Efficient Market Hypothesis and the Model-Data Paradox of Chaos on Top Currencies from the Foreign Exchange Market (FOREX)," Mathematics, MDPI, vol. 11(2), pages 1-29, January.
- Kerssenfischer, Mark & Schmeling, Maik, 2022.
"What moves markets?,"
Discussion Papers
16/2022, Deutsche Bundesbank.
- Kerssenfischer, Mark & Schmeling, Maik, 2024. "What moves markets?," Journal of Monetary Economics, Elsevier, vol. 145(C).
- Caruso, Alberto, 2019.
"Macroeconomic news and market reaction: Surprise indexes meet nowcasting,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
- Alberto Caruso, 2018. "Macroeconomic News and Market Reaction: Surprise Indexes meet Nowcasting," Working Papers ECARES 2018-06, ULB -- Universite Libre de Bruxelles.
- Guido Bulligan & Davide Delle Monache, 2018. "Financial markets effects of ECB unconventional monetary policy announcements," Questioni di Economia e Finanza (Occasional Papers) 424, Bank of Italy, Economic Research and International Relations Area.
- Schlepper, Kathi, 2016. "High-frequency trading in the Bund futures market," Discussion Papers 15/2016, Deutsche Bundesbank.
- Banerjee, Ameet Kumar & Pradhan, H.K. & Akhtaruzzaman, Md & Sensoy, Ahmet & Dann, Susan, 2024. "Anatomy of sovereign yield behaviour using textual news," Research in International Business and Finance, Elsevier, vol. 71(C).
- Yunus, Nafeesa, 2023. "Long-run and short-run impact of the U.S. economy on stock, bond and housing markets: An evaluation of U.S. and six major economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 211-232.
- Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
- André Marine Charlotte & Dai Meixing, 2020.
"The limits to robust monetary policy in a small open economy with learning agents,"
Working Papers
2020-12, Banco de México.
- Marine Charlotte André & Meixing Dai, 2018. "The limits to robust monetary policy in a small open economy with learning agents," Working Papers of BETA 2018-45, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Gregori, Wildmer Daniel & Sacchi, Agnese, 2019.
"Has the Grexit news affected euro area financial markets?,"
The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 71-84.
- Gregori, Wildmer & Sacchi, Agnese, 2017. "Has the Grexit news affected euro area financial markets?," JRC Working Papers in Economics and Finance 2017-13, Joint Research Centre, European Commission.
- Luca Brugnolini & Antonello D’Agostino & Alex Tagliabracci, 2021. "Is Anything Predictable in Market-Based Surprises?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(3), pages 387-410, November.
- Sreejata Banerjee & Divya Sinha, 2015. "Effect of Macroeconomic News Releases on Bond Yields in India China and Japan," Working Papers 2015-125, Madras School of Economics,Chennai,India.
- Daniela Bragoli & Luca Metelli & Michele Modugno, 2014.
"The Importance of Updating: Evidence from a Brazilian Nowcasting Model,"
Finance and Economics Discussion Series
2014-94, Board of Governors of the Federal Reserve System (U.S.).
- Daniela Bragoli & Luca Metelli & Michele Modugno, 2015. "The importance of updating: Evidence from a Brazilian nowcasting model," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(1), pages 5-22.
Cited by:
- Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015.
"Nowcasting Indonesia,"
ADB Economics Working Paper Series
471, Asian Development Bank.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2018. "Nowcasting Indonesia," Empirical Economics, Springer, vol. 55(2), pages 597-619, September.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015. "Nowcasting Indonesia," Finance and Economics Discussion Series 2015-100, Board of Governors of the Federal Reserve System (U.S.).
- Tony Chernis & Rodrigo Sekkel, 2017.
"A dynamic factor model for nowcasting Canadian GDP growth,"
Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
- Tony Chernis & Rodrigo Sekkel, 2017. "A Dynamic Factor Model for Nowcasting Canadian GDP Growth," Staff Working Papers 17-2, Bank of Canada.
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
- Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
- Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
- Alain Kabundi & Elmarie Nel & Franz Ruch, 2016.
"Nowcasting Real GDP growth in South Africa,"
Working Papers
54, Economic Research Southern Africa.
- Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 581, Economic Research Southern Africa.
- Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 7068, South African Reserve Bank.
- Laurent Ferrara & Anna Simoni, 2023.
"When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage,"
Post-Print
hal-03919944, HAL.
- Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers 2019-04, Center for Research in Economics and Statistics.
- Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers hal-04159714, HAL.
- Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
- Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working papers 717, Banque de France.
- Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Papers 2007.00273, arXiv.org, revised Sep 2022.
- Laurent Ferrara & Anna Simoni, 2023. "When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1188-1202, October.
- Reichlin, Lucrezia & Andreini, Paolo & Hasenzagl, Thomas & Senftleben-König, Charlotte & Strohsal, Till, 2020. "Nowcasting German GDP," CEPR Discussion Papers 14323, C.E.P.R. Discussion Papers.
- Luca Tiozzo Pezzoli & Elisa Tosetti, 2022. "Seismonomics: Listening to the heartbeat of the economy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 288-309, December.
- Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
- Daniela Bragoli & Jack Fosten, 2016.
"Nowcasting Indian GDP,"
University of East Anglia School of Economics Working Paper Series
2016-06, School of Economics, University of East Anglia, Norwich, UK..
- Daniela Bragoli & Jack Fosten, 2018. "Nowcasting Indian GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 259-282, April.
- Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
- Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016.
"Nowcasting Turkish GDP and news decomposition,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
- Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016. "Nowcasting Turkish GDP and News Decomposition," Finance and Economics Discussion Series 2016-044, Board of Governors of the Federal Reserve System (U.S.).
- Bragoli, Daniela & Modugno, Michele, 2017.
"A now-casting model for Canada: Do U.S. variables matter?,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
- Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
- Porshakov, A. & Ponomarenko, A. & Sinyakov, A., 2016.
"Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model,"
Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 60-76.
- Alexey Porshakov & Elena Deryugina & Alexey Ponomarenko & Andrey Sinyakov, 2015. "Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model," Bank of Russia Working Paper Series wps2, Bank of Russia.
- Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
- Danilo Leiva-Leon & Gabriel Pérez-Quirós & Eyno Rots, 2020.
"Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis,"
MNB Working Papers
2020/4, Magyar Nemzeti Bank (Central Bank of Hungary).
- Danilo Leiva-Leon & Gabriel Perez-Quiros & Eyno Rots, 2020. "Real-time weakness of the global economy: a first assessment of the coronavirus crisis," Working Papers 2015, Banco de España.
- Perez-Quiros, Gabriel & Rots, Eyno & Leiva-Leon, Danilo, 2020. "Real-time weakness of the global economy: a first assessment of the coronavirus crisis," Working Paper Series 2381, European Central Bank.
- Pérez-Quirós, Gabriel & Leiva-León, Danilo & Rots, Eyno, 2020. "Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis," CEPR Discussion Papers 14484, C.E.P.R. Discussion Papers.
- Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
- Nie,Owen, 2020. "The Information Content of Capital Controls," Policy Research Working Paper Series 9343, The World Bank.
- Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017.
"Nowcasting BRIC+M in real time,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
- Tatjana Dahlhaus & Justin-Damien Guénette & Garima Vasishtha, 2015. "Nowcasting BRIC+M in Real Time," Staff Working Papers 15-38, Bank of Canada.
- George Kapetanios & Fotis Papailias, 2018. "Big Data & Macroeconomic Nowcasting: Methodological Review," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-12, Economic Statistics Centre of Excellence (ESCoE).
- Cepni, Oguzhan & Güney, I. Ethem & Swanson, Norman R., 2019. "Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes," International Journal of Forecasting, Elsevier, vol. 35(2), pages 555-572.
- Pérez, Fernando, 2018. "Nowcasting Peruvian GDP using Leading Indicators and Bayesian Variable Selection," Working Papers 2018-010, Banco Central de Reserva del Perú.
- Caruso, Alberto, 2019.
"Macroeconomic news and market reaction: Surprise indexes meet nowcasting,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
- Alberto Caruso, 2018. "Macroeconomic News and Market Reaction: Surprise Indexes meet Nowcasting," Working Papers ECARES 2018-06, ULB -- Universite Libre de Bruxelles.
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023.
"Lessons from Nowcasting GDP across the World,"
International Finance Discussion Papers
1385, Board of Governors of the Federal Reserve System (U.S.).
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
- Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
- Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
- Alberto Caruso, 2015. "Nowcasting Mexican GDP," Working Papers ECARES ECARES 2015-40, ULB -- Universite Libre de Bruxelles.
- Laura Coroneo & Domenico Giannone & Michèle Modugno, 2013.
"Unspanned Macroeconomic Factors in the Yields Curve,"
Working Papers ECARES
ECARES 2013-07, ULB -- Universite Libre de Bruxelles.
- Laura Coroneo & Domenico Giannone & Michele Modugno, 2016. "Unspanned Macroeconomic Factors in the Yield Curve," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 472-485, July.
- Laura Coroneo & Domenico Giannone & Michele Modugno, 2014. "Unspanned macroeconomic factors in the yield curve," Finance and Economics Discussion Series 2014-57, Board of Governors of the Federal Reserve System (U.S.).
Cited by:
- Moench, Emanuel & Soofi-Siavash, Soroosh, 2022.
"What moves treasury yields?,"
Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
- Soroosh Soofi-Siavash & Emanuel Moench, 2021. "What Moves Treasury Yields?," Bank of Lithuania Working Paper Series 88, Bank of Lithuania.
- Moench, Emanuel & Soofi Siavash, Soroosh, 2022. "What Moves Treasury Yields?," CEPR Discussion Papers 15978, C.E.P.R. Discussion Papers.
- Giacomini, Raffaella & Ragusa, Giuseppe & Altavilla, Carlo, 2013.
"Anchoring the Yield Curve Using Survey Expectations,"
CEPR Discussion Papers
9738, C.E.P.R. Discussion Papers.
- Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2017. "Anchoring the yield curve using survey expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1055-1068, September.
- Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2013. "Anchoring the yield curve using survey expectations," CeMMAP working papers 52/13, Institute for Fiscal Studies.
- Giacomini, Raffaella & Altavilla, Carlo & Ragusa, Giuseppe, 2014. "Anchoring the yield curve using survey expectations," Working Paper Series 1632, European Central Bank.
- Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2013. "Anchoring the yield curve using survey expectations," CeMMAP working papers CWP52/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
- Almeida, Thiago Ramos, 2024. "Estimating time-varying factors’ variance in the string-term structure model with stochastic volatility," Research in International Business and Finance, Elsevier, vol. 70(PA).
- Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022.
"Common factors of commodity prices,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2017. "Common factors of commodity prices," Working Paper Series 2112, European Central Bank.
- Giannone, Domenico & Ferrara, Laurent & Delle Chiaie, Simona, 2018. "Common Factors of Commodity Prices," CEPR Discussion Papers 12767, C.E.P.R. Discussion Papers.
- S. Delle Chiaie & L. Ferrara & D. Giannone, 2017. "Common Factors of Commodity Prices," Working papers 645, Banque de France.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
- Joseph P. Byrne & Shuo Cao. & Dimitris Korobilis., 2015.
"Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty,"
Working Papers
2015_08, Business School - Economics, University of Glasgow.
- P. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," SIRE Discussion Papers 2015-71, Scottish Institute for Research in Economics (SIRE).
- Byrne, JP & Cao, S & Korobilis, D, 2016. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Essex Finance Centre Working Papers 18195, University of Essex, Essex Business School.
- Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
- Matteo Barigozzi & Matteo Luciani, 2024.
"Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm,"
Finance and Economics Discussion Series
2024-086, Board of Governors of the Federal Reserve System (U.S.).
- Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Papers 1910.03821, arXiv.org, revised Sep 2024.
- Audrino, Francesco & Serwart, Jan, 2024. "Yield curve trading strategies exploiting sentiment data," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
- Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
- Norman R. Swanson & Weiqi Xiong, 2018.
"Big data analytics in economics: What have we learned so far, and where should we go from here?,"
Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 695-746, August.
- Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 695-746, August.
- Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Michael D. Bauer & Glenn D. Rudebusch, 2017.
"Resolving the Spanning Puzzle in Macro-Finance Term Structure Models,"
Review of Finance, European Finance Association, vol. 21(2), pages 511-553.
- Michael D. Bauer & Glenn D. Rudebusch, 2015. "Resolving the Spanning Puzzle in Macro-Finance Term Structure Models," CESifo Working Paper Series 5187, CESifo.
- Michael D. Bauer & Glenn D. Rudebusch, 2015. "Resolving the spanning puzzle in macro-finance term structure models," Working Paper Series 2015-1, Federal Reserve Bank of San Francisco.
- Hong, Zhiwu & Wang, Zhenhan & Li, Xinda, 2024. "Foreign trade and China’s yield curve during the COVID-19 pandemic: An analysis based on an extended arbitrage-free Nelson–Siegel model," Research in International Business and Finance, Elsevier, vol. 70(PB).
- Luke Hartigan & Michelle Wright, 2023. "Monitoring Financial Conditions and Downside Risk to Economic Activity in Australia," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 253-287, June.
- Carlo Altavilla & Riccardo Costantini & Raffaella Giacomini, 2013.
"Bond returns and market expectations,"
CeMMAP working papers
20/13, Institute for Fiscal Studies.
- Carlo Altavilla & Riccardo Costantini & Raffaella Giacomini, 2013. "Bond returns and market expectations," CeMMAP working papers CWP20/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Carlo Altavilla & Raffaella Giacomini & Riccardo Costantini, 2014. "Bond Returns and Market Expectations," Journal of Financial Econometrics, Oxford University Press, vol. 12(4), pages 708-729.
- Han, Yang & Jiao, Anqi & Ma, Jun, 2021. "The predictive power of Nelson–Siegel factor loadings for the real economy," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 95-127.
- Carlo Altavilla & Domenico Giannone & Michèle Modugno, 2014.
"Low Frequency Effects of Macroeconomic News on Government Bond Yields,"
Working Papers ECARES
ECARES 2014-34, ULB -- Universite Libre de Bruxelles.
- Carlo Altavilla & Domenico Giannone & Michele Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," CSEF Working Papers 372, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Carlo Altavilla & Domenico Giannone & Michele Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Finance and Economics Discussion Series 2014-52, Board of Governors of the Federal Reserve System (U.S.).
- Altavilla, Carlo & Giannone, Domenico & Modugno, Michele, 2017. "Low frequency effects of macroeconomic news on government bond yields," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 31-46.
- Corradi, Valentina & Fosten, Jack & Gutknecht, Daniel, 2024. "Predictive ability tests with possibly overlapping models," Journal of Econometrics, Elsevier, vol. 241(1).
- Byrne, JP & Cao, S & Korobilis, D, 2016.
"Decomposing Global Yield Curve Co-Movement,"
Essex Finance Centre Working Papers
18194, University of Essex, Essex Business School.
- Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2019. "Decomposing global yield curve co-movement," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 500-513.
- Poncela Blanco, Maria Pilar, 2020.
"Factor extraction using Kalman filter and smoothing: this is not just another survey,"
DES - Working Papers. Statistics and Econometrics. WS
30644, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
- Oguzhan Cepni & Ibrahim Ethem Guney & Doruk Kucuksarac & Muhammed Hasan Yilmaz, 2018. "The Interaction between Yield Curve and Macroeconomic Factors," CBT Research Notes in Economics 1802, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Guidolin, Massimo & Pedio, Manuela, 2019. "Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
- Alberto Caruso & Laura Coroneo, 2019. "Predicting interest rates in real-time," Discussion Papers 19/18, Department of Economics, University of York.
- Rui Liu, 2019. "Forecasting Bond Risk Premia with Unspanned Macroeconomic Information," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-62, March.
- Choi, Ahjin & Kang, Kyu Ho, 2023. "Modeling the time-varying dynamic term structure of interest rates," Journal of Banking & Finance, Elsevier, vol. 153(C).
- Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
- Siyu Bie & Francis X. Diebold & Jingyu He & Junye Li, 2024.
"Machine Learning and the Yield Curve: Tree-Based Macroeconomic Regime Switching,"
Papers
2408.12863, arXiv.org.
- Siyu Bie & Francis X. Diebold & Jingyu He & Junye Li, 2024. "Machine Learning and the Yield Curve:Tree-Based Macroeconomic Regime Switching," PIER Working Paper Archive 24-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Monica Defend & Aleksey Min & Lorenzo Portelli & Franz Ramsauer & Francesco Sandrini & Rudi Zagst, 2021. "Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data," Forecasting, MDPI, vol. 3(1), pages 1-35, February.
- Nikoleta Anesti & Ana Beatriz Galvão & Silvia Miranda‐Agrippino, 2022. "Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 42-62, January.
- Dmitriy Stolyarov & Linda L. Tesar, 2019. "Interest Rate Trends in a Global Context," Working Papers wp402, University of Michigan, Michigan Retirement Research Center.
- Dorota Toczydlowska & Gareth W. Peters, 2018. "Financial Big Data Solutions for State Space Panel Regression in Interest Rate Dynamics," Econometrics, MDPI, vol. 6(3), pages 1-45, July.
- Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
- Christos Ioannidis & Kook Ka, 2021. "Economic Policy Uncertainty and Bond Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1479-1522, September.
- Matteo Barigozzi & Lorenzo Trapani, 2018.
"Determining the dimension of factor structures in non-stationary large datasets,"
Papers
1806.03647, arXiv.org.
- Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Discussion Papers 18/01, University of Nottingham, Granger Centre for Time Series Econometrics.
- Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
- Luke Hartigan & Michelle Wright, 2021. "Financial Conditions and Downside Risk to Economic Activity in Australia," RBA Research Discussion Papers rdp2021-03, Reserve Bank of Australia.
- Matteo Barigozzi, 2023. "Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models," Papers 2307.09864, arXiv.org, revised Jun 2024.
- Jiazi Chen & Zhiwu Hong & Linlin Niu, 2022. "Forecasting Interest Rates with Shifting Endpoints: The Role of the Demographic Age Structure," Working Papers 2022-06-25, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Martin Gonzalez-Rozada & Martin sola & Constantino Hevia & Fabio Spagnolo, 2012.
"Estimating and Forecasting the Yield Curve Using a Markov Switching Dynamic Nelson and Siegel Model,"
Department of Economics Working Papers
2012-07, Universidad Torcuato Di Tella.
- Constantino Hevia & Martin Gonzalez‐Rozada & Martin Sola & Fabio Spagnolo, 2015. "Estimating and Forecasting the Yield Curve Using A Markov Switching Dynamic Nelson and Siegel Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 987-1009, September.
- Constantino Hevia & Martin Gonzalez-Rozada & Martin Sola & Fabio Spagnolo, 2014. "Estimating and Forecasting the Yield Curve Using a Markov Switching Dynamic Nelson and Siegel Model," BCAM Working Papers 1403, Birkbeck Centre for Applied Macroeconomics.
- Poncela, Pilar, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023.
"Lessons from Nowcasting GDP across the World,"
International Finance Discussion Papers
1385, Board of Governors of the Federal Reserve System (U.S.).
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
- Siem Jan Koopman & Julia Schaumburg & Quint Wiersma, 2021. "Joint Modelling and Estimation of Global and Local Cross-Sectional Dependence in Large Panels," Tinbergen Institute Discussion Papers 21-008/III, Tinbergen Institute.
- Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
- Goodarzi, Milad & Meinerding, Christoph, 2023. "Asset allocation with recursive parameter updating and macroeconomic regime identifiers," Discussion Papers 06/2023, Deutsche Bundesbank.
- Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
- Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
- Matteo Iacopini & Aubrey Poon & Luca Rossini & Dan Zhu, 2024. "A Quantile Nelson-Siegel model," Papers 2401.09874, arXiv.org.
- Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017. "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 209-225.
- Michele Modugno & Lucrezia Reichlin & Domenico Giannone & Marta Banbura, 2012.
"Nowcasting with Daily Data,"
2012 Meeting Papers
555, Society for Economic Dynamics.
Cited by:
- Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2014.
"Combining distributions of real-time forecasts: An application to U.S. growth,"
Research Memorandum
027, Maastricht University, Graduate School of Business and Economics (GSBE).
- Hecq, A.W. & Götz, T.B. & Urbain, J.R.Y.J., 2012. "Real-time forecast density combinations (forecasting US GDP growth using mixed-frequency data)," Research Memorandum 021, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Park, Sungjun & Kim, Jinsoo, 2018. "The effect of interest in renewable energy on US household electricity consumption: An analysis using Google Trends data," Renewable Energy, Elsevier, vol. 127(C), pages 1004-1010.
- Laurent Ferrara & Anna Simoni, 2023.
"When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage,"
Post-Print
hal-03919944, HAL.
- Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers 2019-04, Center for Research in Economics and Statistics.
- Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers hal-04159714, HAL.
- Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
- Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working papers 717, Banque de France.
- Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Papers 2007.00273, arXiv.org, revised Sep 2022.
- Laurent Ferrara & Anna Simoni, 2023. "When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1188-1202, October.
- Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
- Wieland, Volker & Wolters, Maik Hendrik, 2012.
"Forecasting and policy making,"
IMFS Working Paper Series
62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
- Bragoli, Daniela & Modugno, Michele, 2017.
"A now-casting model for Canada: Do U.S. variables matter?,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
- Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
- Davor Kunovac & Borna Špalat, 2014. "Nowcasting GDP Using Available Monthly Indicators," Working Papers 39, The Croatian National Bank, Croatia.
- Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2014.
"Combining distributions of real-time forecasts: An application to U.S. growth,"
Research Memorandum
027, Maastricht University, Graduate School of Business and Economics (GSBE).
- Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012.
"Now-casting and the real-time data flow,"
CEPR Discussion Papers
9112, C.E.P.R. Discussion Papers.
- Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
- Martha Banbura & Domenico Giannone & Michèle Modugno & Lucrezia Reichlin, 2012. "Now-Casting and the Real-Time Data Flow," Working Papers ECARES ECARES 2012-026, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta & Modugno, Michele, 2013. "Now-casting and the real-time data flow," Working Paper Series 1564, European Central Bank.
Cited by:
- Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022.
"A neural network ensemble approach for GDP forecasting,"
Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
- Luigi Longo & Massimo Riccaboni & Armando Rungi, 2021. "A Neural Network Ensemble Approach for GDP Forecasting," Working Papers 02/2021, IMT School for Advanced Studies Lucca, revised Mar 2021.
- Joshua C. C. Chan & Xuewen Yu, 2022.
"Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility,"
Papers
2206.08438, arXiv.org.
- Joshua C.C. Chan & Xuewen Yu, 2020. "Fast and accurate variational inference for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2020-108, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Chan, Joshua C.C. & Yu, Xuewen, 2022. "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- Eguren-Martin, Fernando & O'Neill, Cian & Sokol, Andrej & von dem Berge, Lukas, 2024.
"Capital flows-at-risk: Push, pull and the role of policy,"
Journal of International Money and Finance, Elsevier, vol. 147(C).
- Eguren-Martin, Fernando & O'Neill, Cian & Sokol, Andrej & von dem Berge, Lukas, 2020. "Capital flows-at-risk: push, pull and the role of policy," Bank of England working papers 881, Bank of England.
- Eguren-Martin, Fernando & O’Neill, Cian & Sokol, Andrej & Berge, Lukas von dem, 2021. "Capital flows-at-risk: push, pull and the role of policy," Working Paper Series 2538, European Central Bank.
- Scott A. Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019.
"Predicting Benchmarked US State Employment Data in Real Time,"
Working Papers
2019-037, Federal Reserve Bank of St. Louis, revised 11 Mar 2021.
- Brave, Scott A. & Gascon, Charles & Kluender, William & Walstrum, Thomas, 2021. "Predicting benchmarked US state employment data in real time," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1261-1275.
- Scott Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019. "Predicting Benchmarked US State Employment Data in Realtime," Working Paper Series WP 2019-11, Federal Reserve Bank of Chicago.
- Edward S. Knotek & Saeed Zaman, 2017.
"Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting,"
Working Papers (Old Series)
1702, Federal Reserve Bank of Cleveland.
- Knotek, Edward S. & Zaman, Saeed, 2019. "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
- Michael Pfarrhofer, 2024.
"Forecasts with Bayesian vector autoregressions under real time conditions,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 771-801, April.
- Michael Pfarrhofer, 2020. "Forecasts with Bayesian vector autoregressions under real time conditions," Papers 2004.04984, arXiv.org.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012.
"Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility,"
Working Papers (Old Series)
1227, Federal Reserve Bank of Cleveland.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2013. "Real-Time Nowcasting with a Bayesian Mixed Frequency Model with Stochastic Volatility," CEPR Discussion Papers 9312, C.E.P.R. Discussion Papers.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015. "Realtime nowcasting with a Bayesian mixed frequency model with stochastic volatility," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 837-862, October.
- Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017.
"The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey,"
Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
- Mogliani, M. & Brunhes-Lesage, V. & Darn , O. & Pluyaud, B., 2014. "New estimate of the MIBA forecasting model. Modeling first-release GDP using the Banque de France's Monthly Business Survey and the blocking approach," Working papers 473, Banque de France.
- Robert Ambrisko, 2022. "Nowcasting Macroeconomic Variables Using High-Frequency Fiscal Data," Working Papers 2022/5, Czech National Bank.
- Claudia Foroni & Massimiliano Marcellino, 2013.
"A survey of econometric methods for mixed-frequency data,"
Working Paper
2013/06, Norges Bank.
- Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Economics Working Papers ECO2013/02, European University Institute.
- Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022.
"Common factors of commodity prices,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2017. "Common factors of commodity prices," Working Paper Series 2112, European Central Bank.
- Giannone, Domenico & Ferrara, Laurent & Delle Chiaie, Simona, 2018. "Common Factors of Commodity Prices," CEPR Discussion Papers 12767, C.E.P.R. Discussion Papers.
- S. Delle Chiaie & L. Ferrara & D. Giannone, 2017. "Common Factors of Commodity Prices," Working papers 645, Banque de France.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
- Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018.
"Uncertain kingdom: nowcasting GDP and its revisions,"
LSE Research Online Documents on Economics
90382, London School of Economics and Political Science, LSE Library.
- Anesti, Nikoleta & Galvão, Ana & Miranda-Agrippino, Silvia, 2018. "Uncertain Kingdom: nowcasting GDP and its revisions," Bank of England working papers 764, Bank of England, revised 31 Jan 2020.
- Nikoleta Anesti & Ana Beatriz Galvao & Silvia Miranda-Agrippino, 2018. "Uncertain Kingdom: Nowcasting GDP and its Revisions," Discussion Papers 1824, Centre for Macroeconomics (CFM).
- Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
- Alkhareif, Ryadh M. & Barnett, William A., 2020.
"Nowcasting Real GDP for Saudi Arabia,"
MPRA Paper
104278, University Library of Munich, Germany.
- Ryadh M. Alkhareif & William A. Barnett, 2020. "Nowcasting Real Gdp For Saudi Arabia," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202018, University of Kansas, Department of Economics, revised Nov 2020.
- Aastveit, Knut Are & Trovik, Tørres, 2014.
"Estimating the output gap in real time: A factor model approach,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 180-193.
- Knut Are Aastveit & Tørres G. Trovik, 2008. "Estimating the output gap in real time: A factor model approach," Working Paper 2008/23, Norges Bank.
- David Kohns & Arnab Bhattacharjee, 2019. "Interpreting Big Data in the Macro Economy: A Bayesian Mixed Frequency Estimator," CEERP Working Paper Series 010, Centre for Energy Economics Research and Policy, Heriot-Watt University.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2017.
"Tracking the slowdown in long-run GDP growth,"
LSE Research Online Documents on Economics
81869, London School of Economics and Political Science, LSE Library.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 86243, London School of Economics and Political Science, LSE Library.
- Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2014. "Tracking the Slowdown in Long-Run GDP Growth," Discussion Papers 1604, Centre for Macroeconomics (CFM), revised Jan 2016.
- Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," Bank of England working papers 587, Bank of England.
- Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015.
"Nowcasting Indonesia,"
ADB Economics Working Paper Series
471, Asian Development Bank.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2018. "Nowcasting Indonesia," Empirical Economics, Springer, vol. 55(2), pages 597-619, September.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015. "Nowcasting Indonesia," Finance and Economics Discussion Series 2015-100, Board of Governors of the Federal Reserve System (U.S.).
- Joseph, Andreas & Potjagailo, Galina & Chakraborty, Chiranjit & Kapetanios, George, 2024.
"Forecasting UK inflation bottom up,"
International Journal of Forecasting, Elsevier, vol. 40(4), pages 1521-1538.
- Joseph, Andreas & Kalamara, Eleni & Kapetanios, George & Potjagailo, Galina & Chakraborty, Chiranjit, 2021. "Forecasting UK inflation bottom up," Bank of England working papers 915, Bank of England, revised 27 Sep 2022.
- Tony Chernis & Calista Cheung & Gabriella Velasco, 2017.
"A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth,"
Discussion Papers
17-8, Bank of Canada.
- Chernis, Tony & Cheung, Calista & Velasco, Gabriella, 2020. "A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth," International Journal of Forecasting, Elsevier, vol. 36(3), pages 851-872.
- Brum, Matias & De Rosa, Mauricio, 2021. "Too little but not too late: nowcasting poverty and cash transfers’ incidence during COVID-19’s crisis," World Development, Elsevier, vol. 140(C).
- Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022.
"Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data,"
Papers
2211.00363, arXiv.org, revised Jan 2024.
- Ballarin, Giovanni & Dellaportas, Petros & Grigoryeva, Lyudmila & Hirt, Marcel & van Huellen, Sophie & Ortega, Juan-Pablo, 2024. "Reservoir computing for macroeconomic forecasting with mixed-frequency data," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1206-1237.
- Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
- Aleksandra Riedl & Julia Wörz, 2018. "A simple approach to nowcasting GDP growth in CESEE economies," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/18, pages 56-74.
- Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2020.
"Price dividend ratio and long-run stock returns: a score driven state space model,"
Temi di discussione (Economic working papers)
1296, Bank of Italy, Economic Research and International Relations Area.
- Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2021. "Price Dividend Ratio and Long-Run Stock Returns: A Score-Driven State Space Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 1054-1065, October.
- Petrella, Ivan & Delle Monache, Davide & Venditti, Fabrizio, 2019. "Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model," CEPR Discussion Papers 14107, C.E.P.R. Discussion Papers.
- Delle Monache, Davide & Venditti, Fabrizio & Petrella, Ivan, 2020. "Price dividend ratio and long-run stock returns: a score driven state space model," Working Paper Series 2369, European Central Bank.
- Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021.
"Nowcasting with Large Bayesian Vector Autoregressions,"
CEPR Discussion Papers
15854, C.E.P.R. Discussion Papers.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022. "Nowcasting with large Bayesian vector autoregressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
- Petrella, Ivan & Drechsel, Thomas & Antolin-Diaz, Juan, 2014. "Following the Trend: Tracking GDP when Long-Run Growth is Uncertain," CEPR Discussion Papers 10272, C.E.P.R. Discussion Papers.
- Matteo Luciani & Lorenzo Ricci, 2014.
"Nowcasting Norway,"
International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 215-248, December.
- Matteo Luciani & Lorenzo Ricci, 2013. "Nowcasting Norway," Working Papers ECARES ECARES 2013-10, ULB -- Universite Libre de Bruxelles.
- Richiardi, Matteo & Lastunen, Jesse, 2021.
"Forecasting recovery from COVID-19 using financial data: an application to Viet Nam,"
Centre for Microsimulation and Policy Analysis Working Paper Series
CEMPA4/21, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
- Lastunen, Jesse & Richiardi, Matteo, 2023. "Forecasting recovery from COVID-19 using financial data: An application to Vietnam," World Development Perspectives, Elsevier, vol. 30(C).
- Jesse Lastunen & Matteo Richiardi, 2021. "Forecasting recovery from COVID-19 using financial data: An application to Viet Nam," WIDER Working Paper Series wp-2021-84, World Institute for Development Economic Research (UNU-WIDER).
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Matías Brum & Mauricio de Rosa, 2020. "Too little but not too late. Nowcasting poverty and cash transfers' incidence in Uruguay during COVID-19's crisis," Documentos de Trabajo (working papers) 20-09, Instituto de EconomÃa - IECON.
- Katja Heinisch & Rolf Scheufele, 2018.
"Bottom-up or direct? Forecasting German GDP in a data-rich environment,"
Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
- Katja Drechsel & Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
- Drechsel, Katja & Scheufele, Rolf, 2013. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," IWH Discussion Papers 7/2013, Halle Institute for Economic Research (IWH).
- Domenico Giannone, 2016. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 342-344, July.
- Beber, Alessandro & Brandt, Michael & Luisi, Maurizio, 2013.
"Distilling the Macroeconomic News Flow,"
CEPR Discussion Papers
9360, C.E.P.R. Discussion Papers.
- Beber, Alessandro & Brandt, Michael W. & Luisi, Maurizio, 2015. "Distilling the macroeconomic news flow," Journal of Financial Economics, Elsevier, vol. 117(3), pages 489-507.
- Alessandro Beber & Michael W. Brandt & Maurizio Luisi, 2013. "Distilling the Macroeconomic News Flow," NBER Working Papers 19650, National Bureau of Economic Research, Inc.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023.
"Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails,"
CEPR Discussion Papers
17800, C.E.P.R. Discussion Papers.
- Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
- Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014.
"Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
- Onorante, Luca & Alessi, Lucia & Ghysels, Eric & Potter, Simon & Peach, Richard, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Working Paper Series 1688, European Central Bank.
- Luci Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon M. Potter, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Staff Reports 680, Federal Reserve Bank of New York.
- Babii, Andrii & Ghysels, Eric & Striaukas, Jonas, 2021.
"Machine Learning Time Series Regressions With an Application to Nowcasting,"
LIDAM Reprints LFIN
2021010, Université catholique de Louvain, Louvain Finance (LFIN).
- Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
- Andrii Babii & Eric Ghysels & Jonas Striaukas, 2020. "Machine Learning Time Series Regressions with an Application to Nowcasting," Papers 2005.14057, arXiv.org, revised Dec 2020.
- Babii, Andrii & Ghysels, Eric & Striaukas, Jonas, 2021. "Machine Learning Time Series Regressions With an Application to Nowcasting," LIDAM Discussion Papers LFIN 2021004, Université catholique de Louvain, Louvain Finance (LFIN).
- Gani Ramadani & Magdalena Petrovska & Vesna Bucevska, 2021. "Evaluation of mixed frequency approaches for tracking near-term economic developments in North Macedonia," Working Papers 2021-03, National Bank of the Republic of North Macedonia.
- Alain Kabundi & Elmarie Nel & Franz Ruch, 2016.
"Nowcasting Real GDP growth in South Africa,"
Working Papers
54, Economic Research Southern Africa.
- Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 581, Economic Research Southern Africa.
- Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 7068, South African Reserve Bank.
- Daniel Baquero & Manuel Gonzalez-Astudillo, 2018. "A Nowcasting Model for the Growth Rate of Real GDP of Ecuador : Implementing a Time-Varying Intercept," Finance and Economics Discussion Series 2018-044, Board of Governors of the Federal Reserve System (U.S.).
- Laura Coroneo & Domenico Giannone & Michele Modugno, 2016.
"Unspanned Macroeconomic Factors in the Yield Curve,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 472-485, July.
- Laura Coroneo & Domenico Giannone & Michele Modugno, 2014. "Unspanned macroeconomic factors in the yield curve," Finance and Economics Discussion Series 2014-57, Board of Governors of the Federal Reserve System (U.S.).
- Laura Coroneo & Domenico Giannone & Michèle Modugno, 2013. "Unspanned Macroeconomic Factors in the Yields Curve," Working Papers ECARES ECARES 2013-07, ULB -- Universite Libre de Bruxelles.
- Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2017.
"Mixed-frequency models for tracking short-term economic developments in Switzerland,"
Working Papers
2017-02, Swiss National Bank.
- Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2019. "Mixed-Frequency Models for Tracking Short-Term Economic Developments in Switzerland," International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 151-178, June.
- Grant Allan & Gary Koop & Stuart McIntyre & Paul Smith, 2019. "Nowcasting Using Mixed Frequency Methods: An Application to the Scottish Economy," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 12-45, September.
- Santiago Etchegaray Alvarez, 2022. "Proyecciones macroeconómicas con datos en frecuencias mixtas. Modelos ADL-MIDAS, U-MIDAS y TF-MIDAS con aplicaciones para Uruguay," Documentos de trabajo 2022004, Banco Central del Uruguay.
- Marianna Cervená & Martin Schneider, 2010.
"Short-term forecasting GDP with a DSGE model augmented by monthly indicators,"
Working Papers
163, Oesterreichische Nationalbank (Austrian Central Bank).
- Červená, Marianna & Schneider, Martin, 2014. "Short-term forecasting of GDP with a DSGE model augmented by monthly indicators," International Journal of Forecasting, Elsevier, vol. 30(3), pages 498-516.
- Reichlin, Lucrezia & Andreini, Paolo & Hasenzagl, Thomas & Senftleben-König, Charlotte & Strohsal, Till, 2020. "Nowcasting German GDP," CEPR Discussion Papers 14323, C.E.P.R. Discussion Papers.
- William A. Barnett & Marcelle Chauvetz & Danilo Leiva-Leonx, 2014.
"Real-Time Nowcasting Nominal GDP Under Structural Break,"
WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS
201313, University of Kansas, Department of Economics, revised Feb 2014.
- Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2014. "Real-Time Nowcasting Nominal GDP Under Structural Break," MPRA Paper 53699, University Library of Munich, Germany.
- Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
- Bae, Juhee, 2024. "Factor-augmented forecasting in big data," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1660-1688.
- 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.
- 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.
- 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.
- Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
- Pradeep Mishra & Khder Alakkari & Mostafa Abotaleb & Pankaj Kumar Singh & Shilpi Singh & Monika Ray & Soumitra Sankar Das & Umme Habibah Rahman & Ali J. Othman & Nazirya Alexandrovna Ibragimova & Gulf, 2021. "Nowcasting India Economic Growth Using a Mixed-Data Sampling (MIDAS) Model (Empirical Study with Economic Policy Uncertainty–Consumer Prices Index)," Data, MDPI, vol. 6(11), pages 1-15, November.
- Tino Berger & James Morley & Benjamin Wong, 2020.
"Nowcasting the output gap,"
CAMA Working Papers
2020-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Berger, Tino & Morley, James & Wong, Benjamin, 2023. "Nowcasting the output gap," Journal of Econometrics, Elsevier, vol. 232(1), pages 18-34.
- Joshua C. C. Chan, 2019.
"Minnesota-type adaptive hierarchical priors for large Bayesian VARs,"
CAMA Working Papers
2019-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Chan, Joshua C.C., 2021. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1212-1226.
- Costa, Alexandre Bonnet R. & Ferreira, Pedro Cavalcanti G. & Gaglianone, Wagner P. & Guillén, Osmani Teixeira C. & Issler, João Victor & Lin, Yihao, 2021.
"Machine learning and oil price point and density forecasting,"
Energy Economics, Elsevier, vol. 102(C).
- Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner P. Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Yihao Lin, 2021. "Machine Learning and Oil Price Point and Density Forecasting," Working Papers Series 544, Central Bank of Brazil, Research Department.
- Francesca Carta, 2020. "Timely Indicators for Inequality and Poverty Using the Italian Labour Force Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 41-65, May.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019.
"Nowcasting GDP using machine learning algorithms: A real-time assessment,"
Reserve Bank of New Zealand Discussion Paper Series
DP2019/03, Reserve Bank of New Zealand.
- Richardson, Adam & van Florenstein Mulder, Thomas & Vehbi, Tuğrul, 2021. "Nowcasting GDP using machine-learning algorithms: A real-time assessment," International Journal of Forecasting, Elsevier, vol. 37(2), pages 941-948.
- Poncela Blanco, Maria Pilar, 2020.
"Factor extraction using Kalman filter and smoothing: this is not just another survey,"
DES - Working Papers. Statistics and Econometrics. WS
30644, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
- Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
- Maaß, Christina Heike, 2021. "Nowcast als Forecast: Neue Verfahren der BIP-Prognose in Echtzeit," Edition HWWI: Chapters, in: Straubhaar, Thomas (ed.), Neuvermessung der Datenökonomie, volume 6, pages 101-127, Hamburg Institute of International Economics (HWWI).
- Tóth, Peter, 2017.
"Nowcasting Slovak GDP by a Small Dynamic Factor Model,"
MPRA Paper
77245, University Library of Munich, Germany.
- Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
- Edward S. Knotek & Saeed Zaman, 2017.
"Nowcasting U.S. Headline and Core Inflation,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 931-968, August.
- Edward S. Knotek & Saeed Zaman, 2014. "Nowcasting U.S. Headline and Core Inflation," Working Papers (Old Series) 1403, Federal Reserve Bank of Cleveland.
- D'Agostino, Antonello & Cimadomo, Jacopo, 2015.
"Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy,"
Working Paper Series
1856, European Central Bank.
- Antonello D’Agostino & Jacopo Cimadomo, 2015. "Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy," Working Papers 7, European Stability Mechanism.
- Jacopo Cimadomo & Antonello D'Agostino, 2016. "Combining Time Variation and Mixed Frequencies: an Analysis of Government Spending Multipliers in Italy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1276-1290, November.
- Blasques, F. & Koopman, S.J. & Mallee, M. & Zhang, Z., 2016. "Weighted maximum likelihood for dynamic factor analysis and forecasting with mixed frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 405-417.
- 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.
- Martyna Marczak & Víctor Gómez, 2017.
"Monthly US business cycle indicators: a new multivariate approach based on a band-pass filter,"
Empirical Economics, Springer, vol. 52(4), pages 1379-1408, June.
- Marczak, Martyna & Gómez, Victor, 2013. "Monthly US business cycle indicators: A new multivariate approach based on a band-pass filter," FZID Discussion Papers 64-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
- Nikolaus Hautsch & Stefan Voigt, 2017.
"Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty,"
Papers
1709.06296, arXiv.org, revised Jun 2018.
- Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series 582, Center for Financial Studies (CFS).
- Hautsch, Nikolaus & Voigt, Stefan, 2019. "Large-scale portfolio allocation under transaction costs and model uncertainty," Journal of Econometrics, Elsevier, vol. 212(1), pages 221-240.
- Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
- Krist'of N'emeth & D'aniel Hadh'azi, 2024. "Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout," Papers 2405.15579, arXiv.org.
- Franky Juliano Galeano-Ramírez & Nicolás Martínez-Cortés & Carlos D. Rojas-Martínez, 2021. "Nowcasting Colombian Economic Activity: DFM and Factor-MIDAS approaches," Borradores de Economia 1168, Banco de la Republica de Colombia.
- Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
- Matteo Iacopini & Aubrey Poon & Luca Rossini & Dan Zhu, 2022.
"Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP,"
Papers
2209.01910, arXiv.org.
- Iacopini, Matteo & Poon, Aubrey & Rossini, Luca & Zhu, Dan, 2023. "Bayesian mixed-frequency quantile vector autoregression: Eliciting tail risks of monthly US GDP," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
- Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
- Bolivar, Osmar, 2024. "GDP nowcasting: A machine learning and remote sensing data-based approach for Bolivia," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(3).
- Steven Trypsteen, 2014. "The Importance of a Time-Varying Variance and Cross-Country Interactions in Forecast Models," Discussion Papers 2014/15, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
- Grant Allan & Gary Koop & Stuart McIntyre & Paul Smith, 2014.
"Nowcasting Scottish GDP Growth,"
Working Paper series
41_14, Rimini Centre for Economic Analysis.
- Grant Allan & Gary Koop & Stuart McIntyre & Paul Smith, 2014. "Nowcasting Scottish GDP growth," Working Papers 1411, University of Strathclyde Business School, Department of Economics.
- Allan, Grant & Koop, Gary & McIntyre, Stuart & Smith, Paul, 2014. "Nowcasting Scottish GDP Growth," SIRE Discussion Papers 2015-08, Scottish Institute for Research in Economics (SIRE).
- Eric W. K. See-To & Eric W. T. Ngai, 2018. "Customer reviews for demand distribution and sales nowcasting: a big data approach," Annals of Operations Research, Springer, vol. 270(1), pages 415-431, November.
- Juan Tenorio & Wilder Perez, 2024. "Monthly GDP nowcasting with Machine Learning and Unstructured Data," Papers 2402.04165, arXiv.org.
- Liu, Ying & Wen, Long & Liu, Han & Song, Haiyan, 2024. "Predicting tourism recovery from COVID-19: A time-varying perspective," Economic Modelling, Elsevier, vol. 135(C).
- Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.
- Gustavo Silva Araujo & Wagner Piazza Gaglianone, 2022.
"Machine Learning Methods for Inflation Forecasting in Brazil: new contenders versus classical models,"
Working Papers Series
561, Central Bank of Brazil, Research Department.
- Araujo, Gustavo Silva & Gaglianone, Wagner Piazza, 2023. "Machine learning methods for inflation forecasting in Brazil: New contenders versus classical models," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(2).
- Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017.
"The role of indicator selection in nowcasting euro-area GDP in pseudo-real time,"
Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
- A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
- Venditti, Fabrizio & Veronese, Giovanni, 2020. "Global financial markets and oil price shocks in real time," Working Paper Series 2472, European Central Bank.
- Mahmut Gunay, 2018. "Nowcasting Annual Turkish GDP Growth with MIDAS," CBT Research Notes in Economics 1810, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Sergiy Nikolaychuk & Yurii Sholomytskyi, 2015. "Using Macroeconomic Models for Monetary Policy in Ukraine," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 233, pages 54-64, September.
- Monica Defend & Aleksey Min & Lorenzo Portelli & Franz Ramsauer & Francesco Sandrini & Rudi Zagst, 2021. "Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data," Forecasting, MDPI, vol. 3(1), pages 1-35, February.
- Kohns, David & Bhattacharjee, Arnab, 2023.
"Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model,"
International Journal of Forecasting, Elsevier, vol. 39(3), pages 1384-1412.
- Bhattacharjee, Arnab & Kohns, David, 2022. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," National Institute of Economic and Social Research (NIESR) Discussion Papers 538, National Institute of Economic and Social Research.
- David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
- Chikamatsu, Kyosuke & Hirakata, Naohisa & Kido, Yosuke & Otaka, Kazuki, 2021. "Mixed-frequency approaches to nowcasting GDP: An application to Japan," Japan and the World Economy, Elsevier, vol. 57(C).
- Thomas Gilbert & Chiara Scotti & Georg H. Strasser & Clara Vega, 2015.
"Is the Intrinsic Value of Macroeconomic News Announcements Related to Their Asset Price Impact?,"
Boston College Working Papers in Economics
874, Boston College Department of Economics, revised 23 Apr 2015.
- Thomas Gilbert & Chiara Scotti & Georg Strasser & Clara Vega, 2015. "Is the Intrinsic Value of Macroeconomic News Announcements Related to their Asset Price Impact?," Finance and Economics Discussion Series 2015-46, Board of Governors of the Federal Reserve System (U.S.).
- Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2016. "Is the intrinsic value of macroeconomic news announcements related to their asset price impact?," Working Paper Series 1882, European Central Bank.
- Eraslan, Sercan & Schröder, Maximilian, 2019. "Nowcasting GDP with a large factor model space," Discussion Papers 41/2019, Deutsche Bundesbank.
- William D. Larson & Tara M. Sinclair, 2020.
"Nowcasting Unemployment Insurance Claims in the Time of COVID-19,"
Working Papers
2020-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Aug 2020.
- William D. Larson & Tara M. Sinclair, 2020. "Nowcasting unemployment insurance claims in the time of COVID-19," CAMA Working Papers 2020-63, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- William D. Larson & Tara M. Sinclair, 2020. "Nowcasting Unemployment Insurance Claims in the Time of COVID-19," FHFA Staff Working Papers 20-02, Federal Housing Finance Agency.
- Larson, William D. & Sinclair, Tara M., 2022. "Nowcasting unemployment insurance claims in the time of COVID-19," International Journal of Forecasting, Elsevier, vol. 38(2), pages 635-647.
- 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.
- Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016.
"Nowcasting Turkish GDP and news decomposition,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
- Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016. "Nowcasting Turkish GDP and News Decomposition," Finance and Economics Discussion Series 2016-044, Board of Governors of the Federal Reserve System (U.S.).
- Miroslav Klucik, 2019. "Tracking the Course of the Economy (Nowcasting of basic macroeconomic indicators of Slovakia)," Working Papers Working Paper No. 1/2019, Council for Budget Responsibility.
- Wieland, Volker & Wolters, Maik Hendrik, 2012.
"Forecasting and policy making,"
IMFS Working Paper Series
62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
- Bragoli, Daniela & Modugno, Michele, 2017.
"A now-casting model for Canada: Do U.S. variables matter?,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
- Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
- Klaus Friesenbichler & Christian Glocker & Werner Hölzl & Philipp Wegmüller, 2018. "Ein neues Modell für die kurzfristige Prognose der Herstellung von Waren und der Ausrüstungsinvestitionen," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(9), pages 651-661, September.
- Zhenzhong Wang & Zhengyuan Zhu & Cindy Yu, 2020. "Variable Selection in Macroeconomic Forecasting with Many Predictors," Papers 2007.10160, arXiv.org.
- Anesti, Nikoleta & Kalamara, Eleni & Kapetanios, George, 2021. "Forecasting UK GDP growth with large survey panels," Bank of England working papers 923, Bank of England.
- Martin Iseringhausen & Konstantinos Theodoridis, 2025. "A survey-based measure of asymmetric macroeconomic risk in the euro area," Working Papers 68, European Stability Mechanism, revised 11 Feb 2025.
- Alain Galli, 2018.
"Which Indicators Matter? Analyzing the Swiss Business Cycle Using a Large-Scale Mixed-Frequency Dynamic Factor Model,"
Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 179-218, November.
- Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.
- Francisco Blasques & Siem Jan Koopman & Max Mallee, 2014. "Low Frequency and Weighted Likelihood Solutions for Mixed Frequency Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-105/III, Tinbergen Institute.
- Osbat, Chiara & D'Agostino, Antonello & Modugno, Michele, 2016.
"A global trade model for the euro area,"
Working Paper Series
1986, European Central Bank.
- Antonello D'Agostino & Michele Modugno & Chiara Osbat, 2015. "A Global Trade Model for the Euro Area," Finance and Economics Discussion Series 2015-13, Board of Governors of the Federal Reserve System (U.S.).
- Antonello D’Agostino & Michele Modugno & Chiara Osbat, 2017. "A Global Trade Model for the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 1-34, December.
- Christian Brownlees & Vladislav Morozov, 2022. "Unit Averaging for Heterogeneous Panels," Papers 2210.14205, arXiv.org, revised May 2024.
- Carriero, Andrea & Galvão, Ana Beatriz & Kapetanios, George, 2019. "A comprehensive evaluation of macroeconomic forecasting methods," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1226-1239.
- Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
- Keeney, Mary & Kennedy, Bernard & Liebermann, Joelle, 2012. "The value of hard and soft data for short-term forecasting of GDP," Economic Letters 11/EL/12, Central Bank of Ireland.
- Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
- Lyu, Yifei & Nie, Jun & Yang, Shu-Kuei X., 2021.
"Forecasting US economic growth in downturns using cross-country data,"
Economics Letters, Elsevier, vol. 198(C).
- , 2020. "Forecasting U.S. Economic Growth in Downturns Using Cross-Country Data," Research Working Paper RWP 20-09, Federal Reserve Bank of Kansas City.
- González-Astudillo, Manuel & Baquero, Daniel, 2019. "A nowcasting model for Ecuador: Implementing a time-varying mean output growth," Economic Modelling, Elsevier, vol. 82(C), pages 250-263.
- Philipp Wegmüller & Christian Glocker & Valentino Guggia, 2021.
"Weekly Economic Activity: Measurement and Informational Content,"
WIFO Working Papers
627, WIFO.
- Wegmüller, Philipp & Glocker, Christian & Guggia, Valentino, 2023. "Weekly economic activity: Measurement and informational content," International Journal of Forecasting, Elsevier, vol. 39(1), pages 228-243.
- Cláudia Duarte & Sónia Cabral, 2016. "Nowcasting Portuguese tourism exports," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
- Hayashi, Fumio & Tachi, Yuta, 2021. "The nowcast revision analysis extended," Economics Letters, Elsevier, vol. 209(C).
- Emilio Blanco & Fiorella Dogliolo & Lorena Garegnani, 2022. "Nowcasting during the Pandemic: Lessons from Argentina," BCRA Working Paper Series 202299, Central Bank of Argentina, Economic Research Department.
- Bell, Venetia & Co, Lai Wah & Stone, Sophie & Wallis, gavin`, 2014. "Nowcasting UK GDP growth," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 58-68.
- Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M Sologon, 2020. "The Impact of COVID-19 and Policy Responses on Australian Income Distribution and Poverty," Papers 2009.04037, arXiv.org.
- Jed Armstrong, 2015. "The Reserve Bank of New Zealand’s output gap indicator suite and its real-time properties," Reserve Bank of New Zealand Analytical Notes series AN2015/08, Reserve Bank of New Zealand.
- Potjagailo, Galina & Wolters, Maik H., 2019.
"Global financial cycles since 1880,"
IMFS Working Paper Series
132, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Potjagailo, Galina & Wolters, Maik H., 2019. "Global financial cycles since 1880," Kiel Working Papers 2122, Kiel Institute for the World Economy (IfW Kiel).
- Potjagailo, Galina & Wolters, Maik H, 2020. "Global financial cycles since 1880," Bank of England working papers 867, Bank of England.
- Potjagailo, Galina & Wolters, Maik H., 2023. "Global financial cycles since 1880," Journal of International Money and Finance, Elsevier, vol. 131(C).
- Nie,Owen, 2020. "The Information Content of Capital Controls," Policy Research Working Paper Series 9343, The World Bank.
- Joel Hasbrouck, 2021. "Price Discovery in High Resolution," Journal of Financial Econometrics, Oxford University Press, vol. 19(3), pages 395-430.
- Juan Carlos Carlo Santos, 2019. "Pronósticos del PIB mediante modelos de factores dinámicos," Revista de Análisis del BCB, Banco Central de Bolivia, vol. 30(1), pages 125-174, January -.
- Joshua C. C. Chan, 2022.
"Comparing Stochastic Volatility Specifications for Large Bayesian VARs,"
Papers
2208.13255, arXiv.org.
- Chan, Joshua C.C., 2023. "Comparing stochastic volatility specifications for large Bayesian VARs," Journal of Econometrics, Elsevier, vol. 235(2), pages 1419-1446.
- Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017.
"Nowcasting BRIC+M in real time,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
- Tatjana Dahlhaus & Justin-Damien Guénette & Garima Vasishtha, 2015. "Nowcasting BRIC+M in Real Time," Staff Working Papers 15-38, Bank of Canada.
- Jonas E. Arias & Minchul Shin, 2020. "Tracking U.S. Real GDP Growth During the Pandemic," Economic Insights, Federal Reserve Bank of Philadelphia, vol. 5(3), pages 9-14, September.
- Bańbura, Marta & Bobeica, Elena, 2023.
"Does the Phillips curve help to forecast euro area inflation?,"
International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
- Bańbura, Marta & Bobeica, Elena, 2020. "Does the Phillips curve help to forecast euro area inflation?," Working Paper Series 2471, European Central Bank.
- George Kapetanios & Fotis Papailias, 2018. "Big Data & Macroeconomic Nowcasting: Methodological Review," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-12, Economic Statistics Centre of Excellence (ESCoE).
- Kaiser, Ulrich & Kuhn, Johan M., 2020.
"The value of publicly available, textual and non-textual information for startup performance prediction,"
ZEW Discussion Papers
20-012, ZEW - Leibniz Centre for European Economic Research.
- Kaiser, Ulrich & Kuhn, Johan M., 2020. "The value of publicly available, textual and non-textual information for startup performance prediction," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
- Daniel Kaufmann & Rolf Scheufele, 2015.
"Business tendency surveys and macroeconomic fluctuations,"
KOF Working papers
15-378, KOF Swiss Economic Institute, ETH Zurich.
- Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
- Michael Graff & Dominik Studer, 2018. "Konstruktion von Sammelindikatoren für den Konjunkturverlauf bei prekärer Datenlage am Beispiel Montenegros," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 12(3), pages 81-91, October.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019.
"Nowcasting New Zealand GDP using machine learning algorithms,"
IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50,
Bank for International Settlements.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2018. "Nowcasting New Zealand GDP using machine learning algorithms," CAMA Working Papers 2018-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Richardson, Adam & van Florenstein Mulder, Thomas & Vehbi, Tuğrul, 2021. "Nowcasting GDP using machine-learning algorithms: A real-time assessment," International Journal of Forecasting, Elsevier, vol. 37(2), pages 941-948.
- Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient matrix approach for classical inference in state space models," Economics Letters, Elsevier, vol. 181(C), pages 22-27.
- Barış Soybilgen & Ege Yazgan, 2021. "Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 387-417, January.
- Cepni, Oguzhan & Güney, I. Ethem & Swanson, Norman R., 2019. "Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes," International Journal of Forecasting, Elsevier, vol. 35(2), pages 555-572.
- Wagner Piazza Gaglianone & Waldyr Dutra Areosa, 2016.
"Financial Conditions Indicators for Brazil,"
Working Papers Series
435, Central Bank of Brazil, Research Department.
- Gaglianone, Wagner Piazza & Dutra Areosa, Waldyr, 2017. "Financial Conditions Indicator for Brazil," IDB Publications (Working Papers) 8488, Inter-American Development Bank.
- Buonanno, Paolo & Puca, Marcello, 2021. "Using newspaper obituaries to “nowcast” daily mortality: Evidence from the Italian COVID-19 hot-spots," Health Policy, Elsevier, vol. 125(4), pages 535-540.
- Fosten, Jack, 2019. "CO2 emissions and economic activity: A short-to-medium run perspective," Energy Economics, Elsevier, vol. 83(C), pages 415-429.
- Heinisch Katja & Scheufele Rolf, 2019.
"Should Forecasters Use Real-Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence,"
German Economic Review, De Gruyter, vol. 20(4), pages 170-200, December.
- Heinisch, Katja & Scheufele, Rolf, 2017. "Should forecasters use real-time data to evaluate leading indicator models for GDP prediction? German evidence," IWH Discussion Papers 5/2017, Halle Institute for Economic Research (IWH).
- Katja Heinisch & Rolf Scheufele, 2019. "Should Forecasters Use Real‐Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 170-200, November.
- Ch. Piette & G. Langenus, 2014. "Using BREL to nowcast the Belgian business cycle: the role of survey data," Economic Review, National Bank of Belgium, issue i, pages 75-98, June.
- Maxime Leboeuf & Louis Morel, 2014. "Forecasting Short-Term Real GDP Growth in the Euro Area and Japan Using Unrestricted MIDAS Regressions," Discussion Papers 14-3, Bank of Canada.
- Elena Andreou & Andros Kourtellos, 2015. "The State and the Future of Cyprus Macroeconomic Forecasting," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 9(1), pages 73-90, June.
- Tea Livaic & Ana Perisic, 2019. "What can Google Tell us about Bitcoin Trading Volume in Croatia? Evidence from the Online Marketplace Localbitcoins," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(4), pages 707-715.
- Pérez, Fernando, 2018. "Nowcasting Peruvian GDP using Leading Indicators and Bayesian Variable Selection," Working Papers 2018-010, Banco Central de Reserva del Perú.
- Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
- Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas, 2023. "Nowcasting Economic Activity Using Electricity Market Data: The Case of Lithuania," Economies, MDPI, vol. 11(5), pages 1-21, May.
- Gálvez-Soriano Oscar de Jesús, 2018. "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers 2018-06, Banco de México.
- Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
- James H. Stock & Mark W. Watson, 2017. "Twenty Years of Time Series Econometrics in Ten Pictures," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 59-86, Spring.
- Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
- Ramadani Gani & Petrovska Magdalena & Bucevska Vesna, 2021. "Evaluation of Mixed Frequency Approaches for Tracking Near-Term Economic Developments in North Macedonia," South East European Journal of Economics and Business, Sciendo, vol. 16(2), pages 43-52, December.
- Marek Rusnak, 2013.
"Nowcasting Czech GDP in Real Time,"
Working Papers
2013/06, Czech National Bank.
- Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
- Caruso, Alberto, 2019.
"Macroeconomic news and market reaction: Surprise indexes meet nowcasting,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
- Alberto Caruso, 2018. "Macroeconomic News and Market Reaction: Surprise Indexes meet Nowcasting," Working Papers ECARES 2018-06, ULB -- Universite Libre de Bruxelles.
- Frédérique Bec & Matteo Mogliani, 2013.
"Nowcasting French GDP in Real-Time from Survey Opinions : Information or Forecast Combinations ?,"
Working Papers
2013-21, Center for Research in Economics and Statistics.
- Bec, F. & Mogliani, M., 2013. "Nowcasting French GDP in Real-Time from Survey Opinions: Information or Forecast Combinations?," Working papers 436, Banque de France.
- Bec, Frédérique & Mogliani, Matteo, 2015. "Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1021-1042.
- Mihnea Constantinescu, 2023. "Sparse Warcasting," Working Papers 01/2023, National Bank of Ukraine.
- Nuttanan Wichitaksorn, 2020. "Analyzing and Forecasting Thai Macroeconomic Data using Mixed-Frequency Approach," PIER Discussion Papers 146, Puey Ungphakorn Institute for Economic Research.
- Fulop, Andras & Kocsis, Zalan, 2023. "News indices on country fundamentals," Journal of Banking & Finance, Elsevier, vol. 154(C).
- Bantis, Evripidis & Clements, Michael P. & Urquhart, Andrew, 2023. "Forecasting GDP growth rates in the United States and Brazil using Google Trends," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1909-1924.
- Ignacio Garr'on & Andrey Ramos, 2025. "High-frequency Density Nowcasts of U.S. State-Level Carbon Dioxide Emissions," Papers 2501.03380, arXiv.org.
- William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.
- Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
- Edward P. Herbst & Fabian Winkler, 2021. "The Factor Structure of Disagreement," Finance and Economics Discussion Series 2021-046, Board of Governors of the Federal Reserve System (U.S.).
- Sandra Bilek-Steindl & Thomas Url, 2022. "Nowcasting and monitoring SDG 8," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(2), pages 313-345, May.
- Ryadh M. Alkhareif & William A. Barnett, 2022. "Nowcasting Real GDP for Saudi Arabia1," Open Economies Review, Springer, vol. 33(2), pages 333-345, April.
- Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
- Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2017. "Is the intrinsic value of a macroeconomic news announcement related to its asset price impact?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 78-95.
- Franz Ramsauer & Aleksey Min & Michael Lingauer, 2019. "Estimation of FAVAR Models for Incomplete Data with a Kalman Filter for Factors with Observable Components," Econometrics, MDPI, vol. 7(3), pages 1-43, July.
- Christophe Piette, 2016. "Predicting Belgium’s GDP using targeted bridge models," Working Paper Research 290, National Bank of Belgium.
- Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
- Marcellino, Massimiliano & Foroni, Claudia, 2014.
"Markov-Switching Mixed-Frequency VAR Models,"
CEPR Discussion Papers
9815, C.E.P.R. Discussion Papers.
- Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2015. "Markov-switching mixed-frequency VAR models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 692-711.
- Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
- Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
- Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
- Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
- Alberto Caruso, 2015. "Nowcasting Mexican GDP," Working Papers ECARES ECARES 2015-40, ULB -- Universite Libre de Bruxelles.
- G. Kenny, 2014. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 500-504, October.
- Heinisch, Katja, 2016. "A real-time analysis on the importance of hard and soft data for nowcasting German GDP," VfS Annual Conference 2016 (Augsburg): Demographic Change 145864, Verein für Socialpolitik / German Economic Association.
- Yi-Ting Chen, 2021. "A mixed-frequency smooth measure for business conditions," Empirical Economics, Springer, vol. 61(4), pages 1699-1724, October.
- Zheng, Tingguo & Fan, Xinyue & Jin, Wei & Fang, Kuangnan, 2024. "Words or numbers? Macroeconomic nowcasting with textual and macroeconomic data," International Journal of Forecasting, Elsevier, vol. 40(2), pages 746-761.
- Kirstin Hubrich & Simone Manganelli, 2014. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 506-509, October.
- Abdalla, Ahmed M. & Carabias, Jose M. & Patatoukas, Panos N., 2021. "The real-time macro content of corporate financial reports: A dynamic factor model approach," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 260-280.
- Arai, Natsuki & Iizuka, Nobuo & Yamamoto, Yohei, 2024. "The efficiency of the Japanese government’s revenue projections," Economics Letters, Elsevier, vol. 244(C).
- Kitlinski, Tobias, 2015. "With or without you: Do financial data help to forecast industrial production?," Ruhr Economic Papers 558, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Ademmer, Martin & Boysen-Hogrefe, Jens & Fiedler, Salomon & Groll, Dominik & Hauber, Philipp & Jannsen, Nils & Kooths, Stefan & Potjagailo, Galina, 2018. "Deutsche Konjunktur im Frühjahr 2018 - Deutsche Wirtschaft näher am Limit [German Economy Spring 2018 - German economy closer to its limit]," Kieler Konjunkturberichte 41, Kiel Institute for the World Economy (IfW Kiel).
- Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
- Wichitaksorn, Nuttanan, 2022. "Analyzing and forecasting Thai macroeconomic data using mixed-frequency approach," Journal of Asian Economics, Elsevier, vol. 78(C).
- Urasawa, Satoshi, 2014. "Real-time GDP forecasting for Japan: A dynamic factor model approach," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 116-134.
- Modugno, Michele, 2011.
"Nowcasting inflation using high frequency data,"
Working Paper Series
1324, European Central Bank.
- Modugno, Michele, 2013. "Now-casting inflation using high frequency data," International Journal of Forecasting, Elsevier, vol. 29(4), pages 664-675.
Cited by:
- Tallman, Ellis W. & Zaman, Saeed, 2020.
"Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy,"
International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
- Ellis W. Tallman & Saeed Zaman, 2018. "Combining Survey Long-Run Forecasts and Nowcasts with BVAR Forecasts Using Relative Entropy," Working Papers (Old Series) 1809, Federal Reserve Bank of Cleveland.
- Edward S. Knotek & Saeed Zaman, 2017.
"Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting,"
Working Papers (Old Series)
1702, Federal Reserve Bank of Cleveland.
- Knotek, Edward S. & Zaman, Saeed, 2019. "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
- Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012.
"Now-casting and the real-time data flow,"
CEPR Discussion Papers
9112, C.E.P.R. Discussion Papers.
- Martha Banbura & Domenico Giannone & Michèle Modugno & Lucrezia Reichlin, 2012. "Now-Casting and the Real-Time Data Flow," Working Papers ECARES ECARES 2012-026, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta & Modugno, Michele, 2013. "Now-casting and the real-time data flow," Working Paper Series 1564, European Central Bank.
- Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
- Anttonen, Jetro, 2018. "Nowcasting the Unemployment Rate in the EU with Seasonal BVAR and Google Search Data," ETLA Working Papers 62, The Research Institute of the Finnish Economy.
- Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015.
"Nowcasting Indonesia,"
ADB Economics Working Paper Series
471, Asian Development Bank.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2018. "Nowcasting Indonesia," Empirical Economics, Springer, vol. 55(2), pages 597-619, September.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015. "Nowcasting Indonesia," Finance and Economics Discussion Series 2015-100, Board of Governors of the Federal Reserve System (U.S.).
- Pierzak, Agnieszka, 2013. "Forecasting inflation in Poland using dynamic factor model," MF Working Papers 17, Ministry of Finance in Poland, revised 01 Aug 2013.
- Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
- Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
- Alain Kabundi & Elmarie Nel & Franz Ruch, 2016.
"Nowcasting Real GDP growth in South Africa,"
Working Papers
54, Economic Research Southern Africa.
- Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 581, Economic Research Southern Africa.
- Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 7068, South African Reserve Bank.
- Knotek, Edward S. & Zaman, Saeed, 2023.
"Real-time density nowcasts of US inflation: A model combination approach,"
International Journal of Forecasting, Elsevier, vol. 39(4), pages 1736-1760.
- Edward S. Knotek & Saeed Zaman, 2020. "Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach," Working Papers 20-31, Federal Reserve Bank of Cleveland.
- Edward Knotek & Saeed Zaman, 2020. "Real-time density nowcasts of US inflation: a model-combination approach," Working Papers 2015, University of Strathclyde Business School, Department of Economics.
- Jack Fosten & Shaoni Nandi, 2023. "Nowcasting from cross‐sectionally dependent panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 898-919, September.
- Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
- Satoshi Urasawa, 2023. "The Usefulness of High-Frequency Alternative Data to Obtain Nowcasts for Japan’s GDP: Evidence from Credit Card Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 191-211, September.
- Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2023.
"Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany,"
Discussion Papers
34/2023, Deutsche Bundesbank.
- Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2024. "Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany," Working Paper Series 2930, European Central Bank.
- Marozzi, Armando, 2021. "The ECB's tracker: nowcasting the press conferences of the ECB," Working Paper Series 2609, European Central Bank.
- Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
- Aparicio, Diego & Bertolotto, Manuel I., 2020. "Forecasting inflation with online prices," International Journal of Forecasting, Elsevier, vol. 36(2), pages 232-247.
- Edward S. Knotek & Saeed Zaman, 2017.
"Nowcasting U.S. Headline and Core Inflation,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 931-968, August.
- Edward S. Knotek & Saeed Zaman, 2014. "Nowcasting U.S. Headline and Core Inflation," Working Papers (Old Series) 1403, Federal Reserve Bank of Cleveland.
- Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
- Fornaro, Paolo, 2016. "Predicting Finnish economic activity using firm-level data," International Journal of Forecasting, Elsevier, vol. 32(1), pages 10-19.
- de Bondt, Gabe J. & Hahn, Elke & Zekaite, Zivile, 2021. "ALICE: Composite leading indicators for euro area inflation cycles," International Journal of Forecasting, Elsevier, vol. 37(2), pages 687-707.
- Paolo Fornaro & Henri Luomaranta, 2020. "Nowcasting Finnish real economic activity: a machine learning approach," Empirical Economics, Springer, vol. 58(1), pages 55-71, January.
- Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016.
"Nowcasting Turkish GDP and news decomposition,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
- Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016. "Nowcasting Turkish GDP and News Decomposition," Finance and Economics Discussion Series 2016-044, Board of Governors of the Federal Reserve System (U.S.).
- Bragoli, Daniela & Modugno, Michele, 2017.
"A now-casting model for Canada: Do U.S. variables matter?,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
- Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
- Łukasz Lenart & Agnieszka Leszczyńska-Paczesna, 2016. "Do market prices improve the accuracy of inflation forecasting in Poland? A disaggregated approach," Bank i Kredyt, Narodowy Bank Polski, vol. 47(5), pages 365-394.
- Andree,Bo Pieter Johannes, 2021. "Estimating Food Price Inflation from Partial Surveys," Policy Research Working Paper Series 9886, The World Bank.
- Edward S. Knotek & Saeed Zaman, 2024. "Nowcasting Inflation," Working Papers 24-06, Federal Reserve Bank of Cleveland.
- Talha Omer & Kristofer Månsson & Pär Sjölander & B. M. Golam Kibria, 2024. "Improved Breitung and Roling estimator for mixed-frequency models with application to forecasting inflation rates," Statistical Papers, Springer, vol. 65(5), pages 3303-3325, July.
- Jonas E. Arias & Minchul Shin, 2020. "Tracking U.S. Real GDP Growth During the Pandemic," Economic Insights, Federal Reserve Bank of Philadelphia, vol. 5(3), pages 9-14, September.
- George Kapetanios & Fotis Papailias, 2018. "Big Data & Macroeconomic Nowcasting: Methodological Review," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-12, Economic Statistics Centre of Excellence (ESCoE).
- Asharani Samal & Mallesh Ummalla & Phanindra Goyari, 2022. "The impact of macroeconomic factors on food price inflation: an evidence from India," Future Business Journal, Springer, vol. 8(1), pages 1-14, December.
- Chad Fulton & Kirstin Hubrich, 2021.
"Forecasting US Inflation in Real Time,"
Finance and Economics Discussion Series
2021-014, Board of Governors of the Federal Reserve System (U.S.).
- Chad Fulton & Kirstin Hubrich, 2021. "Forecasting US Inflation in Real Time," Econometrics, MDPI, vol. 9(4), pages 1-20, October.
- Sbrana, Giacomo & Silvestrini, Andrea & Venditti, Fabrizio, 2017.
"Short-term inflation forecasting: The M.E.T.A. approach,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 1065-1081.
- Giacomo Sbrana & Andrea Silvestrini & Fabrizio Venditti, 2015. "Short term inflation forecasting: the M.E.T.A. approach," Temi di discussione (Economic working papers) 1016, Bank of Italy, Economic Research and International Relations Area.
- Michael Funke & Hao Yu & Aaron Mehrota, 2011.
"Tracking Chinese CPI inflation in real time,"
Quantitative Macroeconomics Working Papers
21112, Hamburg University, Department of Economics.
- Funke, Michael & Mehrotra, Aaron & Yu, Hao, 2011. "Tracking Chinese CPI inflation in real time," BOFIT Discussion Papers 35/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
- Michael Funke & Aaron Mehrotra & Hao Yu, 2015. "Tracking Chinese CPI inflation in real time," Empirical Economics, Springer, vol. 48(4), pages 1619-1641, June.
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023.
"Lessons from Nowcasting GDP across the World,"
International Finance Discussion Papers
1385, Board of Governors of the Federal Reserve System (U.S.).
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
- Jinill Kim & Byung Kwun Ahn, 2012. "A New Measure for Core Inflation Based on Generalized Dynamic-Factor Model," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 18(2), pages 1-28, June.
- Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
- Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
- Yan Leng & Nakash Ali Babwany & Alex Pentland, 2021. "Unraveling the association between socioeconomic diversity and consumer price index in a tourism country," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
- Conefrey, Thomas & Walsh, Graeme, 2018. "A Monthly Indicator of Economic Activity for Ireland," Economic Letters 14/EL/18, Central Bank of Ireland.
- Barış Soybilgen & M. Ege Yazgan & Hüseyin Kaya, 2023. "Nowcasting Turkish Food Inflation Using Daily Online Prices," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 171-190, September.
- Henry, Jerome & Giannone, Domenico & Lalik, Magdalena & Modugno, Michele, 2010.
"An Area-Wide Real-Time Database for the Euro Area,"
CEPR Discussion Papers
7673, C.E.P.R. Discussion Papers.
- Domenico Giannone & Jérôme Henry & Magdalena Lalik & Michele Modugno, 2012. "An Area-Wide Real-Time Database for the Euro Area," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1000-1013, November.
- Domenico Giannone & Jérôme Henry & Magdalena Lalik & Michèle Modugno, 2010. "An Area Wide Real Time Data Base for the Euro Area," Working Papers ECARES ECARES 2010-026, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Henry, Jérôme & Lalik, Magdalena & Modugno, Michele, 2010. "An area-wide real-time database for the euro area," Working Paper Series 1145, European Central Bank.
Cited by:
- Yutaka Kurihara, 2017. "Recent monetary policy effects on Japanese macroeconomy," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 5(5), pages 12-17, October.
- Michael Pfarrhofer, 2024.
"Forecasts with Bayesian vector autoregressions under real time conditions,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 771-801, April.
- Michael Pfarrhofer, 2020. "Forecasts with Bayesian vector autoregressions under real time conditions," Papers 2004.04984, arXiv.org.
- Massimiliano Marcellino & Alberto Musso, 2010.
"the Reliability of Real Time Estimates of the EURO Area Output Gap,"
Economics Working Papers
ECO2010/06, European University Institute.
- Marcellino, Massimiliano & Musso, Alberto, 2010. "The Reliability of Real Time Estimates of the Euro Area Output Gap," CEPR Discussion Papers 7716, C.E.P.R. Discussion Papers.
- Marcellino, Massimiliano & Musso, Alberto, 2011. "The reliability of real-time estimates of the euro area output gap," Economic Modelling, Elsevier, vol. 28(4), pages 1842-1856, July.
- Bańkowski, Krzysztof & Faria, Thomas & Schall, Robert, 2022. "How well-behaved are revisions to quarterly fiscal data in the euro area?," Working Paper Series 2676, European Central Bank.
- Yutaka Kurihara, 2016. "Can the Disparity between GDP and GDP Forecast Cause Economic Instability? The Recent Japanese Case," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 2(8), pages 155-160, 08-2016.
- Giannone, Domenico & Lenza, Michele & Onorante, Luca & Momferatou, Daphne, 2010.
"Short-Term Inflation Projections: a Bayesian Vector Autoregressive approach,"
CEPR Discussion Papers
7746, C.E.P.R. Discussion Papers.
- Giannone, Domenico & Lenza, Michele & Momferatou, Daphne & Onorante, Luca, 2014. "Short-term inflation projections: A Bayesian vector autoregressive approach," International Journal of Forecasting, Elsevier, vol. 30(3), pages 635-644.
- Domenico Giannone & Michèle Lenza & Daphné Momferatu & Luca Onorante, 2010. "Short-term inflation projections: a Bayesian vector autoregressive approach," Working Papers ECARES ECARES 2010-011, ULB -- Universite Libre de Bruxelles.
- Jung, Alexander, 2017. "Forecasting broad money velocity," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 421-432.
- Nektarios A. Michail & George Thucydides, 2018.
"Does Housing Wealth Affect Consumption? The Case of Cyprus,"
Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 67-86, December.
- Nektarios Michail & George Thucydides, 2018. "Does Housing Wealth Affect Consumption? The Case of Cyprus," Working Papers 2018-3, Central Bank of Cyprus.
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- Ana Lamo, 2013. "Firms’ adjustment during times of crisis," Research Bulletin, European Central Bank, vol. 18, pages 9-11.
- Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021.
"Stochastic model specification in Markov switching vector error correction models,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
- Niko Hauzenberger & Florian Huber & Michael Pfarrhofer & Thomas O. Zorner, 2018. "Stochastic model specification in Markov switching vector error correction models," Papers 1807.00529, arXiv.org, revised Sep 2019.
- Huber, Florian & Pfarrhofer, Michael & Zörner, Thomas O., 2018. "Stochastic model specification in Markov switching vector error correction models," Working Papers in Economics 2018-3, University of Salzburg.
- Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
- Alessi, Lucia & Balduzzi, Pierluigi & Savona, Roberto, 2019. "Anatomy of a Sovereign Debt Crisis: CDS Spreads and Real-Time Macroeconomic Data," JRC Working Papers in Economics and Finance 2019-03, Joint Research Centre, European Commission.
- Olivier BIAU & Angela D´ELIA, 2010. "A Non-Balanced Survey-Based Indicator to Track Industrial Production," EcoMod2010 259600028, EcoMod.
- Emilia Tomczyk, 2013. "End of sample vs. real time data: perspectives for analysis of expectations," Working Papers 68, Department of Applied Econometrics, Warsaw School of Economics.
- Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Papers 2311.16333, arXiv.org, revised Apr 2024.
- Joan Paredes & Diego J. Pedregal & Javier J. Pérez, 2009.
"A quarterly fiscal database for the euro area based on intra-annual fiscal information,"
Working Papers
0935, Banco de España.
- Paredes, Joan & Pedregal, Diego J. & Pérez, Javier J., 2009. "A quarterly fiscal database for the euro area based on intra-annual fiscal information," Working Paper Series 1132, European Central Bank.
- Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy (IfW Kiel).
- Jens Boysen‐Hogrefe, 2015.
"Monetary Aggregates to Improve Early Output Gap Estimates in the Euro Area: An Empirical Assessment,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(7), pages 533-542, November.
- Boysen-Hogrefe, Jens, 2014. "Monetary aggregates to improve early output gap estimates in the euro area: An empirical assessment," Kiel Working Papers 1908, Kiel Institute for the World Economy (IfW Kiel).
- Enrico D'Elia, 2014.
"Predictions vs. preliminary sample estimates: the case of eurozone quarterly GDP,"
Working Papers
2, Department of the Treasury, Ministry of the Economy and of Finance.
- D’Elia Enrico, 2014. "Predictions vs. Preliminary Sample Estimates: The Case of Eurozone Quarterly GDP," Journal of Official Statistics, Sciendo, vol. 30(3), pages 499-520, September.
- Cimadomo, Jacopo, 2011.
"Real-time data and fiscal policy analysis: a survey of the literature,"
Working Paper Series
1408, European Central Bank.
- Jacopo Cimadomo, 2016. "Real-Time Data And Fiscal Policy Analysis: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 30(2), pages 302-326, April.
- Jacopo Cimadomo, 2011. "Real-time data and fiscal policy analysis: a survey of the literature," Working Papers 11-25, Federal Reserve Bank of Philadelphia.
- Jacopo Cimadomo, 2011. "Real-Time Data and Fiscal Policy Analysis: a Survey of the Literature," Working Papers 2011-20, CEPII research center.
- Kenny, Geoff & Genre, Véronique & Meyler, Aidan & Timmermann, Allan, 2010. "Combining the forecasts in the ECB survey of professional forecasters: can anything beat the simple average?," Working Paper Series 1277, European Central Bank.
- Edward S. Knotek & Saeed Zaman, 2017.
"Nowcasting U.S. Headline and Core Inflation,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 931-968, August.
- Edward S. Knotek & Saeed Zaman, 2014. "Nowcasting U.S. Headline and Core Inflation," Working Papers (Old Series) 1403, Federal Reserve Bank of Cleveland.
- Cristina Conflitti & Christine De Mol & Domenico Giannone, 2012.
"Optimal Combination of Survey Forecasts,"
Working Papers ECARES
ECARES 2012-023, ULB -- Universite Libre de Bruxelles.
- Conflitti, Cristina & De Mol, Christine & Giannone, Domenico, 2015. "Optimal combination of survey forecasts," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1096-1103.
- Giannone, Domenico & De Mol, Christine & Conflitti, Cristina, 2012. "Optimal Combination of Survey Forecasts," CEPR Discussion Papers 9096, C.E.P.R. Discussion Papers.
- Dmitry Gornostaev & Alexey Ponomarenko & Sergei Seleznev & Alexandra Sterkhova, 2021.
"A Real-Time Historical Database of Macroeconomic Indicators for Russia,"
Bank of Russia Working Paper Series
wps76, Bank of Russia.
- Dmitry Gornostaev & Alexey Ponomarenko & Sergei Seleznev & Alexandra Sterkhova, 2022. "A Real-Time Historical Database of Macroeconomic Indicators for Russia," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 88-103, March.
- Bańbura, Marta & Leiva-León, Danilo & Menz, Jan-Oliver, 2021.
"Do inflation expectations improve model-based inflation forecasts?,"
Discussion Papers
48/2021, Deutsche Bundesbank.
- Bańbura, Marta & Leiva-Leon, Danilo & Menz, Jan-Oliver, 2021. "Do inflation expectations improve model-based inflation forecasts?," Working Paper Series 2604, European Central Bank.
- Marta Bañbura & Danilo Leiva-León & Jan-Oliver Menz, 2021. "Do inflation expectations improve model-based inflation Forecasts?," Working Papers 2138, Banco de España.
- Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.
- Christiane Baumeister & Lutz Kilian, 2014.
"What Central Bankers Need To Know About Forecasting Oil Prices,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 869-889, August.
- Christiane Baumeister & Lutz Kilian, 2013. "What Central Bankers Need to Know about Forecasting Oil Prices," Staff Working Papers 13-15, Bank of Canada.
- Kilian, Lutz & Baumeister, Christiane, 2012. "What Central Bankers Need to Know about Forecasting Oil Prices," CEPR Discussion Papers 9118, C.E.P.R. Discussion Papers.
- Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
- Matteo Barigozzi & Claudio Lissona & Lorenzo Tonni, 2024. "Large datasets for the Euro Area and its member countries and the dynamic effects of the common monetary policy," Papers 2410.05082, arXiv.org.
- Mark Gertler & Peter Karadi, 2013. "Macroeconomic effects of large-scale asset purchase programs," Research Bulletin, European Central Bank, vol. 18, pages 12-15.
- Marek Jarociński & Michele Lenza, 2018.
"An Inflation‐Predicting Measure of the Output Gap in the Euro Area,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1189-1224, September.
- Lenza, Michele & Jarociński, Marek, 2016. "An inflation-predicting measure of the output gap in the euro area," Working Paper Series 1966, European Central Bank.
- Modugno, Michele, 2011.
"Nowcasting inflation using high frequency data,"
Working Paper Series
1324, European Central Bank.
- Modugno, Michele, 2013. "Now-casting inflation using high frequency data," International Journal of Forecasting, Elsevier, vol. 29(4), pages 664-675.
- Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
- Smets, Frank & Warne, Anders & Wouters, Raf, 2013. "Professional forecasters and the real-time forecasting performance of an estimated new keynesian model for the euro area," Working Paper Series 1571, European Central Bank.
- Michael Pfarrhofer & Anna Stelzer, 2019. "High-frequency and heteroskedasticity identification in multicountry models: Revisiting spillovers of monetary shocks," Papers 1912.03158, arXiv.org, revised Dec 2024.
- Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021.
"Measuring and Communicating the Uncertainty in Official Economic Statistics,"
Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
- Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021. "Measuring and Communicating the Uncertainty in Official Economic Statistics," Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
- Gergely Ganics & Florens Odendahl, 2019.
"Bayesian VAR forecasts, survey information and structural change in the euro area,"
Working Papers
1948, Banco de España.
- Ganics, Gergely & Odendahl, Florens, 2021. "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
- Gergely Ganics & Florens Odendahl, 2019. "Bayesian VAR Forecasts, Survey Information and Structural Change in the Euro Area," Working papers 733, Banque de France.
- McAdam, Peter & Warne, Anders, 2018.
"Euro area real-time density forecasting with financial or labor market frictions,"
Working Paper Series
2140, European Central Bank.
- McAdam, Peter & Warne, Anders, 2019. "Euro area real-time density forecasting with financial or labor market frictions," International Journal of Forecasting, Elsevier, vol. 35(2), pages 580-600.
- Zakipour-Saber, Shayan, 2019. "Forecasting in the euro area: The role of the US long rate," Economic Letters 5/EL/19, Central Bank of Ireland.
- Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
- D'Elia, Enrico, 2012. "A case study: the revisions and forecasts of Euro Area quarterly GDP," MPRA Paper 40264, University Library of Munich, Germany.
- Marcellino, Massimiliano & Musso, Alberto, 2010. "Real time estimates of the euro area output gap: reliability and forecasting performance," Working Paper Series 1157, European Central Bank.
- Thomas Brand, 2017. "Vitesse et composition des ajustements budgétaires en équilibre général : une analyse appliquée à la zone euro," Revue économique, Presses de Sciences-Po, vol. 68(HS1), pages 159-182.
- Klose, Jens, 2011. "Asymmetric Taylor reaction functions of the ECB: An approach depending on the state of the economy," The North American Journal of Economics and Finance, Elsevier, vol. 22(2), pages 149-163, August.
- McAdam, Peter & Warne, Anders, 2020.
"Density forecast combinations: the real-time dimension,"
Working Paper Series
2378, European Central Bank.
- Peter McAdam & Anders Warne, 2024. "Density forecast combinations: The real‐time dimension," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1153-1172, August.
- M. Mogliani & T. Ferri re, 2016. "Rationality of announcements, business cycle asymmetry, and predictability of revisions. The case of French GDP," Working papers 600, Banque de France.
- Jung, Alexander & El-Shagi, Makram & Giesen, Sebastian, 2013.
"Does Central Bank Staff Beat Private Forecasters?,"
VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order
79925, Verein für Socialpolitik / German Economic Association.
- El-Shagi, Makram & Giesen, Sebastian & Jung, Alexander, 2012. "Does Central Bank Staff Beat Private Forecasters?," IWH Discussion Papers 5/2012, Halle Institute for Economic Research (IWH).
- Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
- Bańbura, Marta & Bobeica, Elena, 2023.
"Does the Phillips curve help to forecast euro area inflation?,"
International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
- Bańbura, Marta & Bobeica, Elena, 2020. "Does the Phillips curve help to forecast euro area inflation?," Working Paper Series 2471, European Central Bank.
- Marios Polemidiotis & Maria C. Papageorghiou & Maria G. Mithillou, 2018. "Measuring the Competitiveness of the Cyprus Economy: the Case of Unit Labour Costs," Working Papers 2018-2, Central Bank of Cyprus.
- Barbara Rossi & Tatevik Sekhposyan, 2017. "Macroeconomic uncertainty indices for the Euro Area and its individual member countries," Empirical Economics, Springer, vol. 53(1), pages 41-62, August.
- Vermeulen, Philip, 2012. "Quantifying the qualitative responses of the output purchasing managers index in the US and the Euro area," Working Paper Series 1417, European Central Bank.
- Marek RUSNAK, 2013. "Revisions to the Czech National Accounts: Properties and Predictability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(3), pages 244-261, July.
- Naoko Hara & Hibiki Ichiue, 2010.
"Real-time Analysis on Japan's Labor Productivity,"
Bank of Japan Working Paper Series
10-E-7, Bank of Japan.
- Hara, Naoko & Ichiue, Hibiki, 2011. "Real-time analysis on Japan's labor productivity," Journal of the Japanese and International Economies, Elsevier, vol. 25(2), pages 107-130, June.
- Chalmovianský, Jakub & Porqueddu, Mario & Sokol, Andrej, 2020. "Weigh(t)ing the basket: aggregate and component-based inflation forecasts for the euro area," Working Paper Series 2501, European Central Bank.
- Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
- Gregory de Walque & Thomas Lejeune & Ansgar Rannenberg, 2023. "Empirical DSGE model evaluation with interest rate expectations measures and preferences over safe assets," Working Paper Research 433, National Bank of Belgium.
- Natacha Valla & Thomas Brand & Sébastien Doisy, 2014. "A New Architecture for Public Investment in Europe," CEPII Policy Brief 2014-04, CEPII research center.
- Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.
- Asimakopoulos, Stylianos & Lalik, Magdalena & Paredes, Joan & Salvado García, José, 2023. "GDP revisions are not cool: the impact of statistical agencies’ trade-off," Working Paper Series 2857, European Central Bank.
- Nicolas Pinkwart, 2011. "Zur Stabilität von Saisonbereinigungsverfahren: Eine Echtzeitdaten-Analyse am Beispiel BV4.1 und X-12-ARIMA," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(2), pages 125-144, August.
- Ronald Indergand & Stefan Leist, 2014. "A Real-Time Data Set for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(IV), pages 331-352, December.
- Stefano Neri & Tiziano Ropele, 2012.
"Imperfect Information, Real‐Time Data and Monetary Policy in the Euro Area,"
Economic Journal, Royal Economic Society, vol. 122(561), pages 651-674, June.
- Stefano Neri & Tiziano Ropele, 2011. "Imperfect information, real-time data and monetary policy in the euro area," Temi di discussione (Economic working papers) 802, Bank of Italy, Economic Research and International Relations Area.
- Ansgar Belke & Jens Klose, 2011. "Does the ECB Rely on a Taylor Rule During the Financial Crisis? Comparing Ex-post and Real Time Data with Real Time Forecasts," Economic Analysis and Policy, Elsevier, vol. 41(2), pages 147-171, September.
- Gabe de Bondt, 2012. "Nowcasting: Trust the Purchasing Managers’ Index or wait for the flash GDP estimate?," EcoMod2012 3896, EcoMod.
- Smets, Frank & Warne, Anders & Wouters, Rafael, 2014. "Professional forecasters and real-time forecasting with a DSGE model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 981-995.
- Matteo Ciccarelli & Angela Maddaloni, 2013. "Heterogeneous transmission mechanism and the credit channel in the euro area," Research Bulletin, European Central Bank, vol. 18, pages 2-8.
- Marcellino, Massimiliano & Foroni, Claudia, 2014.
"Markov-Switching Mixed-Frequency VAR Models,"
CEPR Discussion Papers
9815, C.E.P.R. Discussion Papers.
- Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2015. "Markov-switching mixed-frequency VAR models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 692-711.
- Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
- Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
- Genre, Véronique & Kenny, Geoff & Meyler, Aidan & Timmermann, Allan, 2013. "Combining expert forecasts: Can anything beat the simple average?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 108-121.
- Bańbura, Marta & Modugno, Michele, 2010.
"Maximum likelihood estimation of factor models on data sets with arbitrary pattern of missing data,"
Working Paper Series
1189, European Central Bank.
- Marta Bańbura & Michele Modugno, 2014. "Maximum Likelihood Estimation Of Factor Models On Datasets With Arbitrary Pattern Of Missing Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 133-160, January.
Cited by:
- C. Thubin & T. Ferri re & E. Monnet & M. Marx & V. Oung, 2016. "The PRISME model: can disaggregation on the production side help to forecast GDP?," Working papers 596, Banque de France.
- Florian Eckert & Nina Mühlebach, 2021. "Global and Local Components of Output Gaps," KOF Working papers 21-497, KOF Swiss Economic Institute, ETH Zurich.
- Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015.
"Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models,"
Finance and Economics Discussion Series
2015-66, Board of Governors of the Federal Reserve System (U.S.).
- Antonello D’Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2016. "Nowcasting Business Cycles: A Bayesian Approach to Dynamic Heterogeneous Factor Models," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 569-594, Emerald Group Publishing Limited.
- Marcellino, Massimiliano & Sivec, Vasja, 2016.
"Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs,"
Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.
- Marcellino, Massimiliano & Sivec, Vasja, 2015. "Monetary, Fiscal and Oil Shocks: Evidence based on Mixed Frequency Structural FAVARs," CEPR Discussion Papers 10610, C.E.P.R. Discussion Papers.
- Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
- Martin Ellison & Sang Seok Lee & Kevin Hjortshøj O'Rourke, 2020.
"The Ends of 27 Big Depressions,"
NBER Working Papers
27586, National Bureau of Economic Research, Inc.
- O'Rourke, Kevin & Ellison, Martin & Lee, Sang Seok, 2020. "The Ends of 27 Big Depressions," CEPR Discussion Papers 15061, C.E.P.R. Discussion Papers.
- Martin Ellison & Sang Seok Lee & Kevin Hjortshøj O'Rourke, 2024. "The Ends of 27 Big Depressions," American Economic Review, American Economic Association, vol. 114(1), pages 134-168, January.
- Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015.
"Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
- Giannone, Domenico & Banbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," CEPR Discussion Papers 9931, C.E.P.R. Discussion Papers.
- Martha Banbura & Domenico Giannone & Michèle Lenza, 2014. "Conditional Forecasts and Scenario Analysis with Vector Autoregressions for Large Cross-Sections," Working Papers ECARES ECARES 2014-15, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Bańbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," Working Paper Series 1733, European Central Bank.
- Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2015.
"Fast ML Estimation of Dynamic Bifactor Models: An Application to European Inflation,"
Working Papers
wp2015_1502, CEMFI.
- Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2015. "Fast ML estimation of dynamic bifactor models: an application to European inflation," Working Papers 1525, Banco de España.
- Sentana, Enrique & Galesi, Alessandro, 2015. "Fast ML estimation of dynamic bifactor models: an application to European inflation," CEPR Discussion Papers 10461, C.E.P.R. Discussion Papers.
- Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2016. "Fast ML Estimation of Dynamic Bifactor Models: An Application to European Inflation," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 215-282, Emerald Group Publishing Limited.
- Libero Monteforte & Valentina Raponi, 2019.
"Short‐term forecasts of economic activity: Are fortnightly factors useful?,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(3), pages 207-221, April.
- Libero Monteforte & Valentina Raponi, 2018. "Short term forecasts of economic activity: are fortnightly factors useful?," Temi di discussione (Economic working papers) 1177, Bank of Italy, Economic Research and International Relations Area.
- Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012.
"Now-casting and the real-time data flow,"
CEPR Discussion Papers
9112, C.E.P.R. Discussion Papers.
- Martha Banbura & Domenico Giannone & Michèle Modugno & Lucrezia Reichlin, 2012. "Now-Casting and the Real-Time Data Flow," Working Papers ECARES ECARES 2012-026, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta & Modugno, Michele, 2013. "Now-casting and the real-time data flow," Working Paper Series 1564, European Central Bank.
- Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
- Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
- Matteo Barigozzi & Filippo Pellegrino, 2023. "Multidimensional dynamic factor models," Papers 2301.12499, arXiv.org.
- David Havrlant & Peter Tóth & Julia Wörz, 2016. "On the optimal number of indicators – nowcasting GDP growth in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 54-72.
- Claudia Foroni & Massimiliano Marcellino, 2013.
"A survey of econometric methods for mixed-frequency data,"
Working Paper
2013/06, Norges Bank.
- Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Economics Working Papers ECO2013/02, European University Institute.
- Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022.
"Common factors of commodity prices,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2017. "Common factors of commodity prices," Working Paper Series 2112, European Central Bank.
- Giannone, Domenico & Ferrara, Laurent & Delle Chiaie, Simona, 2018. "Common Factors of Commodity Prices," CEPR Discussion Papers 12767, C.E.P.R. Discussion Papers.
- S. Delle Chiaie & L. Ferrara & D. Giannone, 2017. "Common Factors of Commodity Prices," Working papers 645, Banque de France.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
- Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018.
"Uncertain kingdom: nowcasting GDP and its revisions,"
LSE Research Online Documents on Economics
90382, London School of Economics and Political Science, LSE Library.
- Anesti, Nikoleta & Galvão, Ana & Miranda-Agrippino, Silvia, 2018. "Uncertain Kingdom: nowcasting GDP and its revisions," Bank of England working papers 764, Bank of England, revised 31 Jan 2020.
- Nikoleta Anesti & Ana Beatriz Galvao & Silvia Miranda-Agrippino, 2018. "Uncertain Kingdom: Nowcasting GDP and its Revisions," Discussion Papers 1824, Centre for Macroeconomics (CFM).
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2008.
"A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models,"
Working Papers ECARES
2008_034, ULB -- Universite Libre de Bruxelles.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," Post-Print hal-00638440, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00638440, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," PSE-Ecole d'économie de Paris (Postprint) hal-00638440, HAL.
- Reichlin, Lucrezia & Doz, Catherine & Giannone, Domenico, 2006. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," CEPR Discussion Papers 5724, C.E.P.R. Discussion Papers.
- Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "A quasi maximum likelihood approach for large approximate dynamic factor models," Working Paper Series 674, European Central Bank.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.
- Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
- Matteo Barigozzi & Matteo Luciani, 2024.
"Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm,"
Finance and Economics Discussion Series
2024-086, Board of Governors of the Federal Reserve System (U.S.).
- Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Papers 1910.03821, arXiv.org, revised Sep 2024.
- Siliverstovs Boriss & Kholodilin Konstantin A., 2012.
"Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland,"
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
- Boriss Siliverstovs & Konstantin A. Kholodilin, 2010. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Discussion Papers of DIW Berlin 970, DIW Berlin, German Institute for Economic Research.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2017.
"Tracking the slowdown in long-run GDP growth,"
LSE Research Online Documents on Economics
81869, London School of Economics and Political Science, LSE Library.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 86243, London School of Economics and Political Science, LSE Library.
- Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2014. "Tracking the Slowdown in Long-Run GDP Growth," Discussion Papers 1604, Centre for Macroeconomics (CFM), revised Jan 2016.
- Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," Bank of England working papers 587, Bank of England.
- Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
- Jin, Sainan & Miao, Ke & Su, Liangjun, 2021.
"On factor models with random missing: EM estimation, inference, and cross validation,"
Journal of Econometrics, Elsevier, vol. 222(1), pages 745-777.
- Su, Liangjun & Miao, Ke & Jin, Sainan, 2019. "On Factor Models with Random Missing: EM Estimation, Inference, and Cross Validation," Economics and Statistics Working Papers 4-2019, Singapore Management University, School of Economics.
- Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015.
"Nowcasting Indonesia,"
ADB Economics Working Paper Series
471, Asian Development Bank.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2018. "Nowcasting Indonesia," Empirical Economics, Springer, vol. 55(2), pages 597-619, September.
- Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015. "Nowcasting Indonesia," Finance and Economics Discussion Series 2015-100, Board of Governors of the Federal Reserve System (U.S.).
- Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation of Non-Stationary Large Approximate Dynamic Factor Models," Papers 1910.09841, arXiv.org.
- Jushan Bai & Serena Ng, 2021.
"Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1746-1763, October.
- Jushan Bai & Serena Ng, 2019. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Papers 1910.06677, arXiv.org, revised Aug 2021.
- Cahan, Ercument & Bai, Jushan & Ng, Serena, 2023.
"Factor-based imputation of missing values and covariances in panel data of large dimensions,"
Journal of Econometrics, Elsevier, vol. 233(1), pages 113-131.
- Ercument Cahan & Jushan Bai & Serena Ng, 2021. "Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions," Papers 2103.03045, arXiv.org, revised Feb 2022.
- Tony Chernis & Calista Cheung & Gabriella Velasco, 2017.
"A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth,"
Discussion Papers
17-8, Bank of Canada.
- Chernis, Tony & Cheung, Calista & Velasco, Gabriella, 2020. "A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth," International Journal of Forecasting, Elsevier, vol. 36(3), pages 851-872.
- Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022.
"Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data,"
Papers
2211.00363, arXiv.org, revised Jan 2024.
- Ballarin, Giovanni & Dellaportas, Petros & Grigoryeva, Lyudmila & Hirt, Marcel & van Huellen, Sophie & Ortega, Juan-Pablo, 2024. "Reservoir computing for macroeconomic forecasting with mixed-frequency data," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1206-1237.
- Tony Chernis & Rodrigo Sekkel, 2017.
"A dynamic factor model for nowcasting Canadian GDP growth,"
Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
- Tony Chernis & Rodrigo Sekkel, 2017. "A Dynamic Factor Model for Nowcasting Canadian GDP Growth," Staff Working Papers 17-2, Bank of Canada.
- Petrella, Ivan & Drechsel, Thomas & Antolin-Diaz, Juan, 2014. "Following the Trend: Tracking GDP when Long-Run Growth is Uncertain," CEPR Discussion Papers 10272, C.E.P.R. Discussion Papers.
- Matteo Luciani & Lorenzo Ricci, 2014.
"Nowcasting Norway,"
International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 215-248, December.
- Matteo Luciani & Lorenzo Ricci, 2013. "Nowcasting Norway," Working Papers ECARES ECARES 2013-10, ULB -- Universite Libre de Bruxelles.
- Avellán, Guillermo & González-Astudillo, Manuel & Salcedo, Juan José, 2020. "A Streamlined Procedure to Construct a Macroeconomic Uncertainty Index with an Application to the Ecuadorian Economy," MPRA Paper 102593, University Library of Munich, Germany.
- David de Antonio Liedo, 2014. "Nowcasting Belgium," Working Paper Research 256, National Bank of Belgium.
- Luke Hartigan & Michelle Wright, 2023. "Monitoring Financial Conditions and Downside Risk to Economic Activity in Australia," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 253-287, June.
- Klaus, Benjamin & Ferroni, Filippo, 2015.
"Euro area business cycles in turbulent times: convergence or decoupling?,"
Working Paper Series
1819, European Central Bank.
- Filippo Ferroni & Benjamin Klaus, 2015. "Euro Area business cycles in turbulent times: convergence or decoupling?," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3791-3815, July.
- F. Ferroni & B. Klaus, 2014. "Euro Area business cycles in turbulent times: convergence or decoupling?," Working papers 522, Banque de France.
- Dovern, Jonas & van Roye, Björn, 2013. "International transmission of financial stress: Evidence from a GVAR," Kiel Working Papers 1844, Kiel Institute for the World Economy (IfW Kiel).
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- Uluceviz, Erhan & Yilmaz, Kamil, 2021.
"Measuring real–financial connectedness in the U.S. economy,"
The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
- Erhan Uluceviz & Kamil Yilmaz, 2018. "Measuring Real-Financial Connectedness in the U.S. Economy," Koç University-TUSIAD Economic Research Forum Working Papers 1812, Koc University-TUSIAD Economic Research Forum.
- Erhan Uluceviz & Kamil Yilmaz, 2018. "Measuring Real-Financial Connectedness in the U.S. Economy," Working Papers 2018-02, Gebze Technical University, Department of Economics.
- O-Chia Chuang & Rangan Gupta & Christian Pierdzioch & Buliao Shu, 2024. "Financial Uncertainty and Gold Market Volatility: Evidence from a GARCH-MIDAS Approach with Variable Selection," Working Papers 202441, University of Pretoria, Department of Economics.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023.
"Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails,"
CEPR Discussion Papers
17800, C.E.P.R. Discussion Papers.
- Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
- Luciana Juvenal & Ivan Petrella, 2011.
"Speculation in the oil market,"
Working Papers
2011-027, Federal Reserve Bank of St. Louis.
- Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
- Luciana Juvenal & Ivan Petrella, 2015. "Speculation in the Oil Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 621-649, June.
- Petrella, Ivan & Juvenal, Luciana, 2014. "Speculation in the Oil Market," CEPR Discussion Papers 9808, C.E.P.R. Discussion Papers.
- Evren Erdogan Cosar & Sevim Kosem & Cagri Sarikaya, 2013. "Do We Really Need Filters In Estimating Output Gap? : Evidence From Turkey," Working Papers 1333, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
- André Nunes Maranhão, 2024. "Brazilian Business Cycle Analysis in a High-Dimensional and Time-Irregular Span Context," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(1), pages 1-58, August.
- Massimiliano Marcellino & Mario Porqueddu & Fabrizio Venditti, 2016.
"Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 118-127, January.
- Massimiliano Marcellino & Mario Porqueddu & Fabrizio Venditti, 2013. "Short-term GDP forecasting with a mixed frequency dynamic factor model with stochastic volatility," Temi di discussione (Economic working papers) 896, Bank of Italy, Economic Research and International Relations Area.
- Marcellino, Massimiliano & Venditti, Fabrizio & Porqueddu, Mario, 2013. "Short-term GDP forecasting with a mixed frequency dynamic factor model with stochastic volatility," CEPR Discussion Papers 9334, C.E.P.R. Discussion Papers.
- Knotek, Edward S. & Zaman, Saeed, 2023.
"Real-time density nowcasts of US inflation: A model combination approach,"
International Journal of Forecasting, Elsevier, vol. 39(4), pages 1736-1760.
- Edward S. Knotek & Saeed Zaman, 2020. "Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach," Working Papers 20-31, Federal Reserve Bank of Cleveland.
- Edward Knotek & Saeed Zaman, 2020. "Real-time density nowcasts of US inflation: a model-combination approach," Working Papers 2015, University of Strathclyde Business School, Department of Economics.
- Daniel Baquero & Manuel Gonzalez-Astudillo, 2018. "A Nowcasting Model for the Growth Rate of Real GDP of Ecuador : Implementing a Time-Varying Intercept," Finance and Economics Discussion Series 2018-044, Board of Governors of the Federal Reserve System (U.S.).
- Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2017.
"Mixed-frequency models for tracking short-term economic developments in Switzerland,"
Working Papers
2017-02, Swiss National Bank.
- Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2019. "Mixed-Frequency Models for Tracking Short-Term Economic Developments in Switzerland," International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 151-178, June.
- André Nunes Maranhão & Nicole Rennó Castro, 2023. "Dissecting Brazilian agriculture business cycles in high-dimensional and time-irregular span contexts," Empirical Economics, Springer, vol. 65(4), pages 1543-1578, October.
- Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2014.
"Combined Density Nowcasting in an uncertain economic environment,"
Working Paper
2014/17, Norges Bank.
- Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2014. "Combined Density Nowcasting in an Uncertain Economic Environment," Tinbergen Institute Discussion Papers 14-152/III, Tinbergen Institute.
- Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2018. "Combined Density Nowcasting in an Uncertain Economic Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 131-145, January.
- Kajal Lahiri & Cheng Yang, 2021.
"Boosting Tax Revenues with Mixed-Frequency Data in the Aftermath of Covid-19: The Case of New York,"
CESifo Working Paper Series
9365, CESifo.
- Lahiri, Kajal & Yang, Cheng, 2022. "Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York," International Journal of Forecasting, Elsevier, vol. 38(2), pages 545-566.
- Ilkin Huseynov & Nazrin Ramazanova & Hikmat Valirzayev, 2022. "Using National Payment System Data to Nowcast Economic Activity in Azerbaijan," IHEID Working Papers 23-2022, Economics Section, The Graduate Institute of International Studies.
- Pablo Guerrón-Quintana & Alexey Khazanov & Molin Zhong, 2023. "Financial and Macroeconomic Data Through the Lens of a Nonlinear Dynamic Factor Model," Finance and Economics Discussion Series 2023-027, Board of Governors of the Federal Reserve System (U.S.).
- Scotti, Chiara, 2016.
"Surprise and uncertainty indexes: Real-time aggregation of real-activity macro-surprises,"
Journal of Monetary Economics, Elsevier, vol. 82(C), pages 1-19.
- Chiara Scotti, 2013. "Surprise and uncertainty indexes: real-time aggregation of real-activity macro surprises," International Finance Discussion Papers 1093, Board of Governors of the Federal Reserve System (U.S.).
- Gupta, Rangan & Ma, Jun & Risse, Marian & Wohar, Mark E., 2018.
"Common business cycles and volatilities in US states and MSAs: The role of economic uncertainty,"
Journal of Macroeconomics, Elsevier, vol. 57(C), pages 317-337.
- Rangan Gupta & Jun Ma & Marian Risse & Mark E. Wohar, 2017. "Common Business Cycles and Volatilities in US States and MSAs: The Role of Economic Uncertainty," Working Papers 201766, University of Pretoria, Department of Economics.
- Reichlin, Lucrezia & Andreini, Paolo & Hasenzagl, Thomas & Senftleben-König, Charlotte & Strohsal, Till, 2020. "Nowcasting German GDP," CEPR Discussion Papers 14323, C.E.P.R. Discussion Papers.
- Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2010.
"Nowcasting,"
Working Papers ECARES
ECARES 2010-021, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta, 2010. "Nowcasting," Working Paper Series 1275, European Central Bank.
- Reichlin, Lucrezia & Giannone, Domenico & Banbura, Marta, 2010. "Nowcasting," CEPR Discussion Papers 7883, C.E.P.R. Discussion Papers.
- William A. Barnett & Marcelle Chauvetz & Danilo Leiva-Leonx, 2014.
"Real-Time Nowcasting Nominal GDP Under Structural Break,"
WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS
201313, University of Kansas, Department of Economics, revised Feb 2014.
- Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2014. "Real-Time Nowcasting Nominal GDP Under Structural Break," MPRA Paper 53699, University Library of Munich, Germany.
- Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018.
"Macroeconomic Nowcasting and Forecasting with Big Data,"
Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
- Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017. "Macroeconomic nowcasting and forecasting with big data," Staff Reports 830, Federal Reserve Bank of New York.
- Giannone, Domenico & Tambalotti, Andrea & Sbordone, Argia & Bok, Brandyn & Caratelli, Daniele, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," CEPR Discussion Papers 12589, C.E.P.R. Discussion Papers.
- Bae, Juhee, 2024. "Factor-augmented forecasting in big data," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1660-1688.
- Aboura, Sofiane & van Roye, Björn, 2013.
"Financial stress and economic dynamics: An application to France,"
Kiel Working Papers
1834, Kiel Institute for the World Economy (IfW Kiel).
- Sofiane Aboura & Björn van Roye, 2017. "Financial stress and economic dynamics: An application to France," Working Papers hal-01526393, HAL.
- Poncela, Pilar, 2015.
"Small versus big-data factor extraction in Dynamic Factor Models: An empirical assessment,"
DES - Working Papers. Statistics and Econometrics. WS
ws1502, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Pilar Poncela & Esther Ruiz, 2016. "Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 401-434, Emerald Group Publishing Limited.
- Philippe Andrade & Filippo Ferroni, 2016.
"Delphic and Odyssean monetary policy shocks: Evidence from the euro-area,"
School of Economics Discussion Papers
1216, School of Economics, University of Surrey.
- Andrade, Philippe & Ferroni, Filippo, 2021. "Delphic and odyssean monetary policy shocks: Evidence from the euro area," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 816-832.
- Philippe Andrade & Filippo Ferroni, 2018. "Delphic and Odyssean Monetary Policy Shocks: Evidence from the Euro Area," Working Paper Series WP-2018-12, Federal Reserve Bank of Chicago.
- Philippe Andrade & Filippo Ferroni, 2019. "Delphic and Odyssean Monetary Policy Shocks: Evidence from the Euro Area," Working Papers 19-17, Federal Reserve Bank of Boston.
- Filippo Ferroni, 2018. "Delphic and Odyssean monetary policy shocks: Evidence from the euro-area," 2018 Meeting Papers 60, Society for Economic Dynamics.
- Kemal Bagzibagli, 2014.
"Monetary transmission mechanism and time variation in the Euro area,"
Empirical Economics, Springer, vol. 47(3), pages 781-823, November.
- Kemal Bagzibagli, 2012. "Monetary Transmission Mechanism and Time Variation in the Euro Area," Discussion Papers 12-12, Department of Economics, University of Birmingham.
- Christina Anderl & Guglielmo Maria Caporale, 2023.
"Shadow rates as a measure of the monetary policy stance: Some international evidence,"
Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(5), pages 399-422, November.
- Christina Anderl & Guglielmo Maria Caporale, 2022. "Shadow Rates as a Measure of the Monetary Policy Stance: Some International Evidence," CESifo Working Paper Series 9839, CESifo.
- Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
- Fernando Avalos & Marco Jacopo Lombardi, 2015. "The biofuel connection: impact of US regulation on oil and food prices," BIS Working Papers 487, Bank for International Settlements.
- Catherine Doz & Peter Fuleky, 2020.
"Dynamic Factor Models,"
Post-Print
halshs-02491811, HAL.
- Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
- Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," PSE Working Papers halshs-02262202, HAL.
- Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
- Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," PSE-Ecole d'économie de Paris (Postprint) halshs-02491811, HAL.
- Evzen Kocenda & Karen Poghosyan, 2020.
"Nowcasting Real GDP Growth: Comparison between Old and New EU Countries,"
Working Papers IES
2020/5, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2020.
- Evžen Kočenda & Karen Poghosyan, 2020. "Nowcasting Real GDP Growth: Comparison between Old and New EU Countries," Eastern European Economics, Taylor & Francis Journals, vol. 58(3), pages 197-220, May.
- Evzen Kocenda & Karen Poghosyan, 2018. "Nowcasting real GDP growth with business tendency surveys data: A cross country analysis," KIER Working Papers 1002, Kyoto University, Institute of Economic Research.
- Barış Soybilgen & Ege Yazgan, 2018.
"Nowcasting the New Turkish GDP,"
Economics Bulletin, AccessEcon, vol. 38(2), pages 1083-1089.
- Baris Soybilgen & Ege Yazgan, 2017. "Nowcasting The New Turkish Gdp," Working Papers 1702, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
- Marco J. Lombardi & Feng Zhu, 2018.
"A Shadow Policy Rate to Calibrate U.S. Monetary Policy at the Zero Lower Bound,"
International Journal of Central Banking, International Journal of Central Banking, vol. 14(5), pages 305-346, December.
- Marco Jacopo Lombardi & Feng Zhu, 2014. "A shadow policy rate to calibrate US monetary policy at the zero lower bound," BIS Working Papers 452, Bank for International Settlements.
- Hasenzagl, Thomas & Pellegrino, Filippo & Reichlin, Lucrezia & Ricco, Giovanni, 2022.
"Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices,"
CEPR Discussion Papers
17111, C.E.P.R. Discussion Papers.
- Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices," Working Papers 2023-06, Center for Research in Economics and Statistics.
- Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices," Working Papers hal-03573080, HAL.
- Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices," Papers 2201.05556, arXiv.org, revised Mar 2023.
- Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices," SciencePo Working papers Main hal-03573080, HAL.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014.
"Density forecasts with MIDAS models,"
Working Paper
2014/10, Norges Bank.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2017. "Density Forecasts With Midas Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 783-801, June.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014. "Density forecasts with MIDAS models," Working Papers No 3/2014, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Ruoxuan Xiong & Markus Pelger, 2019.
"Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference,"
Papers
1910.08273, arXiv.org, revised Jan 2022.
- Xiong, Ruoxuan & Pelger, Markus, 2023. "Large dimensional latent factor modeling with missing observations and applications to causal inference," Journal of Econometrics, Elsevier, vol. 233(1), pages 271-301.
- Michal Franta & David Havrlant & Marek Rusnak, 2014.
"Forecasting Czech GDP Using Mixed-Frequency Data Models,"
Working Papers
2014/08, Czech National Bank.
- Michal Franta & David Havrlant & Marek Rusnák, 2016. "Forecasting Czech GDP Using Mixed-Frequency Data Models," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(2), pages 165-185, December.
- Poncela Blanco, Maria Pilar, 2020.
"Factor extraction using Kalman filter and smoothing: this is not just another survey,"
DES - Working Papers. Statistics and Econometrics. WS
30644, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
- Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
- Tóth, Peter, 2017.
"Nowcasting Slovak GDP by a Small Dynamic Factor Model,"
MPRA Paper
77245, University Library of Munich, Germany.
- Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
- Daniela Bragoli & Jack Fosten, 2016.
"Nowcasting Indian GDP,"
University of East Anglia School of Economics Working Paper Series
2016-06, School of Economics, University of East Anglia, Norwich, UK..
- Daniela Bragoli & Jack Fosten, 2018. "Nowcasting Indian GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 259-282, April.
- Algaba, Andres & Borms, Samuel & Boudt, Kris & Verbeken, Brecht, 2023.
"Daily news sentiment and monthly surveys: A mixed-frequency dynamic factor model for nowcasting consumer confidence,"
International Journal of Forecasting, Elsevier, vol. 39(1), pages 266-278.
- Andres Algaba & Samuel Borms & Kris Boudt & Brecht Verbeken, 2021. "Daily news sentiment and monthly surveys: A mixed–frequency dynamic factor model for nowcasting consumer confidence," Working Paper Research 396, National Bank of Belgium.
- D'Agostino, Antonello & Cimadomo, Jacopo, 2015.
"Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy,"
Working Paper Series
1856, European Central Bank.
- Antonello D’Agostino & Jacopo Cimadomo, 2015. "Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy," Working Papers 7, European Stability Mechanism.
- Jacopo Cimadomo & Antonello D'Agostino, 2016. "Combining Time Variation and Mixed Frequencies: an Analysis of Government Spending Multipliers in Italy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1276-1290, November.
- Grassi, Stefano & Proietti, Tommaso & Frale, Cecilia & Marcellino, Massimiliano & Mazzi, Gianluigi, 2015.
"EuroMInd-C: A disaggregate monthly indicator of economic activity for the Euro area and member countries,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 712-738.
- Cecilia Frale & Stefano Grassi & Massimiliano Marcellino & Gianluigi Mazzi & Tommaso Proietti, 2013. "EuroMInd-C: a Disaggregate Monthly Indicator of Economic Activity for the Euro Area and member countries," CEIS Research Paper 287, Tor Vergata University, CEIS, revised 01 Oct 2013.
- Blasques, F. & Koopman, S.J. & Mallee, M. & Zhang, Z., 2016. "Weighted maximum likelihood for dynamic factor analysis and forecasting with mixed frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 405-417.
- Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2024. "Big data financial transactions and GDP nowcasting: The case of Turkey," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 227-248, March.
- Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon & Ping Wu, 2023.
"Incorporating Short Data into Large Mixed-Frequency VARs for Regional Nowcasting,"
Working Papers
2311, University of Strathclyde Business School, Department of Economics.
- Gary Koop & Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon & Ping Wu, 2023. "Incorporating Short Data into Large Mixed-Frequency VARs for Regional Nowcasting," Working Papers 23-09, Federal Reserve Bank of Cleveland.
- Franky Juliano Galeano-Ramírez & Nicolás Martínez-Cortés & Carlos D. Rojas-Martínez, 2021. "Nowcasting Colombian Economic Activity: DFM and Factor-MIDAS approaches," Borradores de Economia 1168, Banco de la Republica de Colombia.
- 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, 2020. "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.
- Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
- Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
- Hauber, Philipp & Schumacher, Christian, 2021. "Precision-based sampling with missing observations: A factor model application," Discussion Papers 11/2021, Deutsche Bundesbank.
- Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
- Jorge Fornero & Markus Kirchner & Carlos Molina, 2021.
"Estimating Shadow Policy Rates in a Small Open Economy and the Role of Foreign Factors,"
Working Papers Central Bank of Chile
915, Central Bank of Chile.
- Fornero, Jorge & Kirchner, Markus & Molina, Carlos, 2024. "Estimating shadow policy rates in a small open economy and the role of foreign factors," Journal of International Money and Finance, Elsevier, vol. 140(C).
- Fornaro, Paolo, 2016. "Predicting Finnish economic activity using firm-level data," International Journal of Forecasting, Elsevier, vol. 32(1), pages 10-19.
- B. Jungbacker & S.J. Koopman & M. van Der Wel, 2011.
"Maximum likelihood estimation for dynamic factor models with missing data,"
Post-Print
hal-00828980, HAL.
- Jungbacker, B. & Koopman, S.J. & van der Wel, M., 2011. "Maximum likelihood estimation for dynamic factor models with missing data," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1358-1368, August.
- Steffen Henzel & Malte Rengel, 2013.
"Dimensions of macroeconomic uncertainty: A common factor analysis,"
ifo Working Paper Series
167, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Steffen Henzel & Malte Rengel, 2014. "Dimensions of Macroeconomic Uncertainty: A Common Factor Analysis," CESifo Working Paper Series 4991, CESifo.
- Henzel, Steffen R. & Rengel, Malte, 2017. "Dimensions of macroeconomic uncertainty: a common factor analysis," Munich Reprints in Economics 49932, University of Munich, Department of Economics.
- Steffen R. Henzel & Malte Rengel, 2017. "Dimensions Of Macroeconomic Uncertainty: A Common Factor Analysis," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 843-877, April.
- Daniel J. Lewis & Karel Mertens & James H. Stock & Mihir Trivedi, 2020.
"Measuring Real Activity Using a Weekly Economic Index,"
Staff Reports
920, Federal Reserve Bank of New York.
- Daniel J. Lewis & Karel Mertens & James H. Stock & Mihir Trivedi, 2022. "Measuring real activity using a weekly economic index," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 667-687, June.
- Daniel J. Lewis & Karel Mertens & James H. Stock, 2020. "Measuring Real Activity Using a Weekly Economic Index," Working Papers 2011, Federal Reserve Bank of Dallas, revised 02 Mar 2021.
- Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas & Irena Pekarskiene, 2024. "Future directions in nowcasting economic activity: A systematic literature review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1199-1233, September.
- Cleiton Guollo Taufemback, 2023. "Asymptotic Behavior of Temporal Aggregation in Mixed‐Frequency Datasets," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 894-909, August.
- Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
- Itkonen, Juha & Juvonen, Petteri, 2017. "Nowcasting the Finnish economy with a large Bayesian vector autoregressive model," BoF Economics Review 6/2017, Bank of Finland.
- Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
- Efrem Castelnuovo, 2019.
"Domestic and Global Uncertainty: A Survey and Some New Results,"
CESifo Working Paper Series
7900, CESifo.
- Efrem Castelnuovo, 2019. "Domestic and Global Uncertainty: A Survey and Some New Results," Melbourne Institute Working Paper Series wp2019n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Efrem Castelnuovo, 2019. "Domestic and global uncertainty: A survey and some new results," CAMA Working Papers 2019-75, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Juan Tenorio & Wilder Perez, 2024. "Monthly GDP nowcasting with Machine Learning and Unstructured Data," Papers 2402.04165, arXiv.org.
- Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.
- Cem Çakmakli & Hamza Dem I˙rcani & Sumru Altug, 2021. "Modelling of Economic and Financial Conditions for Real‐Time Prediction of Recessions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 663-685, June.
- Modugno, Michele, 2011.
"Nowcasting inflation using high frequency data,"
Working Paper Series
1324, European Central Bank.
- Modugno, Michele, 2013. "Now-casting inflation using high frequency data," International Journal of Forecasting, Elsevier, vol. 29(4), pages 664-675.
- Rocio Alvarez & Maximo Camacho & Gabriel Perez-Quiros, 2012.
"Finite sample performance of small versus large scale dynamic factor models,"
Working Papers
1204, Banco de España.
- Pérez-Quirós, Gabriel & Camacho, Máximo & Alvarez, Rocio, 2012. "Finite sample performance of small versus large scale dynamic factor models," CEPR Discussion Papers 8867, C.E.P.R. Discussion Papers.
- Monica Defend & Aleksey Min & Lorenzo Portelli & Franz Ramsauer & Francesco Sandrini & Rudi Zagst, 2021. "Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data," Forecasting, MDPI, vol. 3(1), pages 1-35, February.
- Pawel M. Krolikowski & Kurt G. Lunsford, 2024.
"Advance layoff notices and aggregate job loss,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 462-480, April.
- Pawel Krolikowski & Kurt Graden Lunsford, 2020. "Advance Layoff Notices and Aggregate Job Loss," Working Papers 20-03R, Federal Reserve Bank of Cleveland, revised 02 Feb 2022.
- Chikamatsu, Kyosuke & Hirakata, Naohisa & Kido, Yosuke & Otaka, Kazuki, 2021. "Mixed-frequency approaches to nowcasting GDP: An application to Japan," Japan and the World Economy, Elsevier, vol. 57(C).
- Eraslan, Sercan & Schröder, Maximilian, 2019. "Nowcasting GDP with a large factor model space," Discussion Papers 41/2019, Deutsche Bundesbank.
- Chudik, Alexander & Grossman, Valerie & Pesaran, M. Hashem, 2016.
"A multi-country approach to forecasting output growth using PMIs,"
Journal of Econometrics, Elsevier, vol. 192(2), pages 349-365.
- Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A Multi-Country Approach to Forecasting Output Growth Using PMIs," CESifo Working Paper Series 5100, CESifo.
- Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
- 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.
- Tai-Hock Kuek & Chin-Hong Puah & M. Affendy Arip, 2020. "Financial Vulnerability and Economic Dynamics in Malaysia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 55-73.
- Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016.
"Nowcasting Turkish GDP and news decomposition,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
- Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016. "Nowcasting Turkish GDP and News Decomposition," Finance and Economics Discussion Series 2016-044, Board of Governors of the Federal Reserve System (U.S.).
- Rünstler, Gerhard & Bańbura, Marta, 2007.
"A look into the factor model black box: publication lags and the role of hard and soft data in forecasting GDP,"
Working Paper Series
751, European Central Bank.
- Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
- Bańbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346.
- Bragoli, Daniela & Modugno, Michele, 2017.
"A now-casting model for Canada: Do U.S. variables matter?,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
- Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
- Giovanni Caggiano & Efrem Castelnuovo, 2023. "Global financial uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 432-449, April.
- Nikoleta Anesti & Ana Beatriz Galvão & Silvia Miranda‐Agrippino, 2022. "Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 42-62, January.
- Łukasz Lenart & Agnieszka Leszczyńska-Paczesna, 2016. "Do market prices improve the accuracy of inflation forecasting in Poland? A disaggregated approach," Bank i Kredyt, Narodowy Bank Polski, vol. 47(5), pages 365-394.
- 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.
- Lombardi, Marco J. & Godbout, Claudia, 2012.
"Short-term forecasting of the Japanese economy using factor models,"
Working Paper Series
1428, European Central Bank.
- Claudia Godbout & Marco J. Lombardi, 2012. "Short-Term Forecasting of the Japanese Economy Using Factor Models," Staff Working Papers 12-7, Bank of Canada.
- Alvarez, Rocio & Camacho, Maximo & Perez-Quiros, Gabriel, 2016. "Aggregate versus disaggregate information in dynamic factor models," International Journal of Forecasting, Elsevier, vol. 32(3), pages 680-694.
- Hagher Ben Rhomdhane & Brahim Mehdi Benlallouna, 2022. "Nowcasting real GDP in Tunisia using large datasets and mixed-frequency models," IHEID Working Papers 02-2022, Economics Section, The Graduate Institute of International Studies.
- Junfan Mao & Zhigen Gao & Bing-Yi Jing & Jianhua Guo, 2024. "On the statistical analysis of high-dimensional factor models," Statistical Papers, Springer, vol. 65(8), pages 4991-5019, October.
- Deicy J. Cristiano-Botia & Manuel Dario Hernandez-Bejarano & Mario A. Ramos-Veloza, 2021. "Labor Market Indicator for Colombia (LMI)," Borradores de Economia 1152, Banco de la Republica de Colombia.
- Alain Galli, 2018.
"Which Indicators Matter? Analyzing the Swiss Business Cycle Using a Large-Scale Mixed-Frequency Dynamic Factor Model,"
Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 179-218, November.
- Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.
- Osbat, Chiara & D'Agostino, Antonello & Modugno, Michele, 2016.
"A global trade model for the euro area,"
Working Paper Series
1986, European Central Bank.
- Antonello D'Agostino & Michele Modugno & Chiara Osbat, 2015. "A Global Trade Model for the Euro Area," Finance and Economics Discussion Series 2015-13, Board of Governors of the Federal Reserve System (U.S.).
- Antonello D’Agostino & Michele Modugno & Chiara Osbat, 2017. "A Global Trade Model for the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 1-34, December.
- Samuel N. Cohen & Silvia Lui & Will Malpass & Giulia Mantoan & Lars Nesheim & 'Aureo de Paula & Andrew Reeves & Craig Scott & Emma Small & Lingyi Yang, 2023. "Nowcasting with signature methods," Papers 2305.10256, arXiv.org.
- Jansen, W. Jos & Jin, Xiaowen & de Winter, Jasper M., 2016.
"Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts,"
International Journal of Forecasting, Elsevier, vol. 32(2), pages 411-436.
- Jos Jansen, W. & Jin, Xiaowen & Winter, Jasper M. de, 2016. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," Munich Reprints in Economics 43488, University of Munich, Department of Economics.
- Dimitar EFTIMOSKI, 2019. "Improving Short-Term Forecasting of Macedonian GDP: Comparing the Factor Model with the Macroeconomic Structural Equation Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 32-53, June.
- Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," CRC TR 224 Discussion Paper Series crctr224_2025_625, University of Bonn and University of Mannheim, Germany.
- Lenza Michele & Warmedinger Thomas, 2011. "A Factor Model for Euro-area Short-term Inflation Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 50-62, February.
- Giovanni Caggiano & Efrem Castelnuovo, 2021.
"Global Uncertainty,"
"Marco Fanno" Working Papers
0269, Dipartimento di Scienze Economiche "Marco Fanno".
- Giovanni Caggiano & Efrem Castelnuovo, 2021. "Global Uncertainty," Monash Economics Working Papers 2021-12, Monash University, Department of Economics.
- Giovanni Caggiano & Efrem Castelnuovo, 2021. "Global Uncertainty," CESifo Working Paper Series 8885, CESifo.
- Caggiano, Giovanni & Castelnuovo, Efrem, 2021. "Global uncertainty," Bank of Finland Research Discussion Papers 1/2021, Bank of Finland.
- Giovanni Caggiano & Efrem Castelnuovo, 2021. "Global uncertainty," CAMA Working Papers 2021-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Luke Hartigan & Tom Rosewall, 2024.
"Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator,"
Working Papers
2024-15, University of Sydney, School of Economics.
- Luke Hartigan & Tom Rosewall, 2024. "Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator," RBA Research Discussion Papers rdp2024-04, Reserve Bank of Australia.
- Kevin Hjortshøj O’Rourke & Sang Seok Lee & Martin Ellison, 2020.
"The Ends of 30 Big Depressions,"
Working Papers
20200035, New York University Abu Dhabi, Department of Social Science, revised May 2020.
- Martin Ellison & Sang Seok Lee & Kevin Hjortshøj O’Rourke, 2020. "The Ends of 30 Big Depressions," Economics Series Working Papers 896, University of Oxford, Department of Economics.
- Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
- Gent Bajraj & Guillermo Carlomagno & Juan M. Wlasiuk, 2023. "Where is the Inflation? The Diverging Patterns of Prices of Goods and Services," Working Papers Central Bank of Chile 969, Central Bank of Chile.
- Lyu, Yifei & Nie, Jun & Yang, Shu-Kuei X., 2021.
"Forecasting US economic growth in downturns using cross-country data,"
Economics Letters, Elsevier, vol. 198(C).
- , 2020. "Forecasting U.S. Economic Growth in Downturns Using Cross-Country Data," Research Working Paper RWP 20-09, Federal Reserve Bank of Kansas City.
- González-Astudillo, Manuel & Baquero, Daniel, 2019. "A nowcasting model for Ecuador: Implementing a time-varying mean output growth," Economic Modelling, Elsevier, vol. 82(C), pages 250-263.
- Alain Kabundi & Asi Mbelu, 2017.
"Estimating a timevarying financial conditions index for South Africa,"
Working Papers
8008, South African Reserve Bank.
- Alain Kabundi & Asithandile Mbelu, 2021. "Estimating a time-varying financial conditions index for South Africa," Empirical Economics, Springer, vol. 60(4), pages 1817-1844, April.
- Florian Eckert & Nina Mühlebach, 2023. "Global and local components of output gaps," Empirical Economics, Springer, vol. 65(5), pages 2301-2331, November.
- Bulligan, Guido & Marcellino, Massimiliano & Venditti, Fabrizio, 2015. "Forecasting economic activity with targeted predictors," International Journal of Forecasting, Elsevier, vol. 31(1), pages 188-206.
- Hayashi, Fumio & Tachi, Yuta, 2021. "The nowcast revision analysis extended," Economics Letters, Elsevier, vol. 209(C).
- Emilio Blanco & Fiorella Dogliolo & Lorena Garegnani, 2022. "Nowcasting during the Pandemic: Lessons from Argentina," BCRA Working Paper Series 202299, Central Bank of Argentina, Economic Research Department.
- Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.
- Alessandro Barbarino & Efstathia Bura, 2015. "Forecasting with Sufficient Dimension Reductions," Finance and Economics Discussion Series 2015-74, Board of Governors of the Federal Reserve System (U.S.).
- Byron Botha & Tim Olds & Geordie Reid & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Nowcasting South African gross domestic product using a suite of statistical models," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 526-554, December.
- Mr. Troy D Matheson, 2013. "The Global Financial Crisis: An Anatomy of Global Growth," IMF Working Papers 2013/076, International Monetary Fund.
- Maria A. Arias & Charles S. Gascon & David E. Rapach, 2014.
"Metro Business Cycles,"
Working Papers
2014-46, Federal Reserve Bank of St. Louis.
- Arias, Maria A. & Gascon, Charles S. & Rapach, David E., 2016. "Metro business cycles," Journal of Urban Economics, Elsevier, vol. 94(C), pages 90-108.
- Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
- Luke Hartigan & Michelle Wright, 2021. "Financial Conditions and Downside Risk to Economic Activity in Australia," RBA Research Discussion Papers rdp2021-03, Reserve Bank of Australia.
- Erhan Uluceviz & Kamil Yilmaz, 2020. "Real-financial connectedness in the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-20, December.
- Eugen Ivanov & Aleksey Min & Franz Ramsauer, 2017. "Copula-Based Factor Models for Multivariate Asset Returns," Econometrics, MDPI, vol. 5(2), pages 1-24, May.
- Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
- Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017.
"Nowcasting BRIC+M in real time,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
- Tatjana Dahlhaus & Justin-Damien Guénette & Garima Vasishtha, 2015. "Nowcasting BRIC+M in Real Time," Staff Working Papers 15-38, Bank of Canada.
- Guido Bulligan & Massimiliano Marcellino & Fabrizio Venditti, 2012. "Forecasting economic activity with higher frequency targeted predictors," Temi di discussione (Economic working papers) 847, Bank of Italy, Economic Research and International Relations Area.
- Fumio Hayashi & Yuta Tachi, 2023. "Nowcasting Japan’s GDP," Empirical Economics, Springer, vol. 64(4), pages 1699-1735, April.
- Hajer Ben Romdhane & Nahed Ben Tanfous, 2017. "Conditional FAVAR and scenario analysis for a large data: case of Tunisia," IHEID Working Papers 15-2017, Economics Section, The Graduate Institute of International Studies.
- Daniel Kaufmann & Rolf Scheufele, 2015.
"Business tendency surveys and macroeconomic fluctuations,"
KOF Working papers
15-378, KOF Swiss Economic Institute, ETH Zurich.
- Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
- Martina Hengge & Seton Leonard, 2017. "Factor Models for Non-Stationary Series: Estimates of Monthly U.S. GDP," IHEID Working Papers 13-2017, Economics Section, The Graduate Institute of International Studies.
- Han Liu & Yongjing Wang & Haiyan Song & Ying Liu, 2023. "Measuring tourism demand nowcasting performance using a monotonicity test," Tourism Economics, , vol. 29(5), pages 1302-1327, August.
- Bhadury, Soumya & Ghosh, Saurabh & Kumar, Pankaj, 2019. "Nowcasting GDP Growth Using a Coincident Economic Indicator for India," MPRA Paper 96007, University Library of Munich, Germany.
- Liebermann, Joelle, 2011.
"Real-Time Nowcasting of GDP: Factor Model versus Professional Forecasters,"
Research Technical Papers
3/RT/11, Central Bank of Ireland.
- Liebermann, Joelle, 2010. "Real-time nowcasting of GDP: Factor model versus professional forecasters," MPRA Paper 28819, University Library of Munich, Germany.
- Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient matrix approach for classical inference in state space models," Economics Letters, Elsevier, vol. 181(C), pages 22-27.
- Fosten, Jack, 2019. "CO2 emissions and economic activity: A short-to-medium run perspective," Energy Economics, Elsevier, vol. 83(C), pages 415-429.
- André Binette & Tony Chernis & Daniel de Munnik, 2017. "Global Real Activity for Canadian Exports: GRACE," Discussion Papers 17-2, Bank of Canada.
- Camacho Maximo & Lovcha Yuliya & Quiros Gabriel Perez, 2015. "Can we use seasonally adjusted variables in dynamic factor models?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(3), pages 377-391, June.
- Luke Mosley & Tak-Shing Chan & Alex Gibberd, 2023. "sparseDFM: An R Package to Estimate Dynamic Factor Models with Sparse Loadings," Papers 2303.14125, arXiv.org.
- Gálvez-Soriano Oscar de Jesús, 2018. "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers 2018-06, Banco de México.
- Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
- Michael Funke & Hao Yu & Aaron Mehrota, 2011.
"Tracking Chinese CPI inflation in real time,"
Quantitative Macroeconomics Working Papers
21112, Hamburg University, Department of Economics.
- Funke, Michael & Mehrotra, Aaron & Yu, Hao, 2011. "Tracking Chinese CPI inflation in real time," BOFIT Discussion Papers 35/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
- Michael Funke & Aaron Mehrotra & Hao Yu, 2015. "Tracking Chinese CPI inflation in real time," Empirical Economics, Springer, vol. 48(4), pages 1619-1641, June.
- Marek Rusnak, 2013.
"Nowcasting Czech GDP in Real Time,"
Working Papers
2013/06, Czech National Bank.
- Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
- Truong, Chi & Sheen, Jeffrey & Trück, Stefan & Villafuerte, James, 2022. "Early warning systems using dynamic factor models: An application to Asian economies," Journal of Financial Stability, Elsevier, vol. 58(C).
- James T. E. Chapman & Ajit Desai, 2022.
"Macroeconomic Predictions using Payments Data and Machine Learning,"
Papers
2209.00948, arXiv.org.
- James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
- James Chapman & Ajit Desai, 2022. "Macroeconomic Predictions Using Payments Data and Machine Learning," Staff Working Papers 22-10, Bank of Canada.
- Pami Dua & Neha Verma, 2024. "Dynamics of Capital Flows and Global Factors: Case of Emerging Economies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(4), pages 945-975, December.
- Caruso, Alberto, 2019.
"Macroeconomic news and market reaction: Surprise indexes meet nowcasting,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
- Alberto Caruso, 2018. "Macroeconomic News and Market Reaction: Surprise Indexes meet Nowcasting," Working Papers ECARES 2018-06, ULB -- Universite Libre de Bruxelles.
- Hie Joo Ahn & Leland E. Farmer, 2024. "Disagreement About the Term Structure of Inflation Expectations," Finance and Economics Discussion Series 2024-084, Board of Governors of the Federal Reserve System (U.S.).
- Poncela, Pilar, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023.
"Lessons from Nowcasting GDP across the World,"
International Finance Discussion Papers
1385, Board of Governors of the Federal Reserve System (U.S.).
- Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
- Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2024. "Nowcasting Norwegian household consumption with debit card transaction data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1220-1244, November.
- Asger Lunde & Miha Torkar, 2020. "Including news data in forecasting macro economic performance of China," Computational Management Science, Springer, vol. 17(4), pages 585-611, December.
- Simone Auer, 2017. "A Financial Conditions Index for the CEE economies," Temi di discussione (Economic working papers) 1145, Bank of Italy, Economic Research and International Relations Area.
- William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.
- Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
- Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2021. "Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey," Papers 2107.03299, arXiv.org.
- Franz Ramsauer & Aleksey Min & Michael Lingauer, 2019. "Estimation of FAVAR Models for Incomplete Data with a Kalman Filter for Factors with Observable Components," Econometrics, MDPI, vol. 7(3), pages 1-43, July.
- Juho Koistinen & Bernd Funovits, 2022. "Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization," Papers 2202.00310, arXiv.org, revised Feb 2022.
- Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
- Riccardo (Jack) Lucchetti & Ioannis A. Venetis, 2019. "Dynamic Factor Models in gretl. The DFM package," gretl working papers 7, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
- Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
- Stéphanie Guichard & Elena Rusticelli, 2011. "A Dynamic Factor Model for World Trade Growth," OECD Economics Department Working Papers 874, OECD Publishing.
- Hauber, Philipp & Schumacher, Christian & Zhang, Jiachun, 2019. "A flexible state-space model with lagged states and lagged dependent variables: Simulation smoothing," Discussion Papers 15/2019, Deutsche Bundesbank.
- Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
- Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
- Alberto Caruso, 2015. "Nowcasting Mexican GDP," Working Papers ECARES ECARES 2015-40, ULB -- Universite Libre de Bruxelles.
- Jeremy Bejarano, 2023. "The Transition to Alternative Reference Rates in the OFR Financial Stress Index," Working Papers 23-07, Office of Financial Research, US Department of the Treasury.
- Björn Roye, 2014. "Financial stress and economic activity in Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 101-126, February.
- Robert Lehmann & Magnus Reif & Timo Wollmershäuser, 2020. "ifoCAST: Der neue Prognosestandard des ifo Instituts," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(11), pages 31-39, November.
- Liebermann, Joelle, 2012.
"Real-time forecasting in a data-rich environment,"
Research Technical Papers
07/RT/12, Central Bank of Ireland.
- Liebermann, Joelle, 2012. "Real-time forecasting in a data-rich environment," MPRA Paper 39452, University Library of Munich, Germany.
- Danilo Vassallo & Giacomo Bormetti & Fabrizio Lillo, 2019. "A tale of two sentiment scales: Disentangling short-run and long-run components in multivariate sentiment dynamics," Papers 1910.01407, arXiv.org, revised Sep 2020.
- Julian Ashwin & Eleni Kalamara & Lorena Saiz, 2024. "Nowcasting Euro area GDP with news sentiment: A tale of two crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 887-905, August.
- Dovern, Jonas & van Roye, Björn, 2014. "International transmission and business-cycle effects of financial stress," Journal of Financial Stability, Elsevier, vol. 13(C), pages 1-17.
- Guillermo Avellán & Manuel González-Astudillo & Juan José Salcedo Cruz, 2022. "Measuring uncertainty: A streamlined application for the Ecuadorian economy," Empirical Economics, Springer, vol. 62(4), pages 1517-1542, April.
- KOCAK, Necmettin Alpay, 2021. "The Impacts Of Speeches On Nowcasting Gdp: A Case Study On Euro Area Markets," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 25(1), pages 6-29, March.
- Yan Leng & Nakash Ali Babwany & Alex Pentland, 2021. "Unraveling the association between socioeconomic diversity and consumer price index in a tourism country," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
- Filippo Pellegrino, 2021. "Factor-augmented tree ensembles," Papers 2111.14000, arXiv.org, revised Jun 2023.
- Kocsis, Zalan & Monostori, Zoltan, 2016. "The role of country-specific fundamentals in sovereign CDS spreads: Eastern European experiences," Emerging Markets Review, Elsevier, vol. 27(C), pages 140-168.
- Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
- Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," ECONtribute Discussion Papers Series 351, University of Bonn and University of Cologne, Germany.
- B. Jungbacker & S.J. Koopman & M. van der Wel, 2009. "Dynamic Factor Analysis in The Presence of Missing Data," Tinbergen Institute Discussion Papers 09-010/4, Tinbergen Institute, revised 11 Mar 2011.
- Nikolaou, Kleopatra & Modugno, Michele, 2009.
"The forecasting power of internal yield curve linkages,"
Working Paper Series
1044, European Central Bank.
Cited by:
- Mirko Abbritti & Mr. Salvatore Dell'Erba & Mr. Antonio Moreno & Mr. Sergio Sola, 2013.
"Global Factors in the Term Structure of Interest Rates,"
IMF Working Papers
2013/223, International Monetary Fund.
- Mirko Abbritti & Salvatore Dell'Erba & ​Antonio Moreno & Sergio Sola, 2014. "Global Factors in the Term Structure of Interest Rates," Faculty Working Papers 01/14, School of Economics and Business Administration, University of Navarra.
- Mirko Abbritti & Salvatore Dell’Erba & Antonio Moreno & Sergio Sola, 2018. "Global Factors in the Term Structure of Interest Rates," International Journal of Central Banking, International Journal of Central Banking, vol. 14(2), pages 301-340, March.
- Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2018.
"Global trends in interest rates,"
Staff Reports
866, Federal Reserve Bank of New York.
- Marco Del Negro & Domenico Giannone & Marc P. Giannoni & Andrea Tambalotti, 2018. "Global Trends in Interest Rates," NBER Working Papers 25039, National Bureau of Economic Research, Inc.
- Brandyn Bok & Marco Del Negro & Domenico Giannone & Marc Giannoni & Eric Qian & Andrea Tambalotti, 2019. "Global Trends in Interest Rates," Liberty Street Economics 20190227, Federal Reserve Bank of New York.
- Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2018. "Global Trends in Interest Rates," Working Papers 1812, Federal Reserve Bank of Dallas.
- Del Negro, Marco & Giannone, Domenico & Giannoni, Marc P. & Tambalotti, Andrea, 2019. "Global trends in interest rates," Journal of International Economics, Elsevier, vol. 118(C), pages 248-262.
- Marco Del Negro & Andrea Tambalotti & Domenico Giannone & Marc Giannoni, 2019. "Global Trends in Interest Rates," 2019 Meeting Papers 77, Society for Economic Dynamics.
- Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2018. "Global Trends in Interest Rates," NBER Chapters, in: NBER International Seminar on Macroeconomics 2018, pages 248-262, National Bureau of Economic Research, Inc.
- Penikas, Henry, 2008. "Forecasting for the Bank's Asset-Liability Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 12(4), pages 3-26.
- Mirko Abbritti & Mr. Salvatore Dell'Erba & Mr. Antonio Moreno & Mr. Sergio Sola, 2013.
"Global Factors in the Term Structure of Interest Rates,"
IMF Working Papers
2013/223, International Monetary Fund.
Articles
- Afanasyeva, Elena & Jerow, Sam & Lee, Seung Jung & Modugno, Michele, 2024.
"Sowing the seeds of financial imbalances: The role of macroeconomic performance,"
Journal of Financial Stability, Elsevier, vol. 74(C).
See citations under working paper version above.
- Elena Afanasyeva & Sam Jerow & Seung Jung Lee & Michele Modugno, 2020. "Sowing the Seeds of Financial Imbalances: The Role of Macroeconomic Performance," Finance and Economics Discussion Series 2020-028, Board of Governors of the Federal Reserve System (U.S.).
- Guerrieri, Luca & Modugno, Michele, 2024.
"The information content of stress test announcements,"
Journal of Banking & Finance, Elsevier, vol. 160(C).
See citations under working paper version above.
- Luca Guerrieri & Michele Modugno, 2021. "The Information Content of Stress Test Announcements," Finance and Economics Discussion Series 2021-012, Board of Governors of the Federal Reserve System (U.S.).
- Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024.
"Back to the present: Learning about the euro area through a now-casting model,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
See citations under working paper version above.
- Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
- De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021.
"Reprint: Monetary policy uncertainty and monetary policy surprises,"
Journal of International Money and Finance, Elsevier, vol. 114(C).
Cited by:
- Altmeyer, Patrick & Boneva, Leva & Kinston, Rafael & Saha, Shreyosi & Stoja, Evarist, 2023. "Yield curve sensitivity to investor positioning around economic shocks," Bank of England working papers 1029, Bank of England.
- Yang Hu & Yanran Hong & Kai Feng & Jikai Wang, 2023. "Evaluating the Importance of Monetary Policy Uncertainty: The Long- and Short-Term Effects and Responses," Evaluation Review, , vol. 47(2), pages 264-286, April.
- Onur Polat, 2021. "Time-Varying Network Connectedness of G-7 Economic Policy Uncertainties: A Locally Stationary TVP-VAR Approach," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 7(2), pages 47-59, December.
- Raza, Syed Ali & Sharif, Arshian & Kumar, Satish & Ahmed, Maiyra, 2023. "Connectedness between monetary policy uncertainty and sectoral stock market returns: Evidence from asymmetric TVP-VAR approach," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Chao Liang & Yanran Hong & Luu Duc Toan Huynh & Feng Ma, 2023. "Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1543-1567, May.
- Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2024. "Examining spillovers and connectedness among commodities, inflation, and uncertainty: A quantile-VAR framework," Energy Economics, Elsevier, vol. 133(C).
- Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
- Akkaya, Yıldız & Bitter, Lea & Brand, Claus & Fonseca, Luís, 2024. "A statistical approach to identifying ECB monetary policy," Working Paper Series 2994, European Central Bank.
- Yasmeen Bayaa & Mahmoud Qadan, 2024. "Interest rate uncertainty and the shape of the yield curve of U.S. treasury bonds," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 981-1003, December.
- Matsumoto, Ryo & Morita, Hiroshi & Ono, Taiki, 2022. "Central Bank Information Effects in Japan : The Role of Uncertainty Channel," Discussion paper series HIAS-E-126, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Samuel Federico Kaplan & Arin Kerim Peren & Polyzos Efstathios & Spagnolo Nicola, 2022. "Stock Market Responses to Monetary Policy Shocks: Universal Firm-Level Evidence," Asociación Argentina de Economía Política: Working Papers 4571, Asociación Argentina de Economía Política.
- Sekandary, Ghezal & Bask, Mikael, 2023. "Monetary policy uncertainty, monetary policy surprises and stock returns," Journal of Economics and Business, Elsevier, vol. 124(C).
- Nguyen Ba Trung, 2022. "Output fluctuations and portfolio flows to emerging economies: The role of monetary uncertainty," International Finance, Wiley Blackwell, vol. 25(3), pages 285-295, December.
- Camelia Minoiu & Rebecca Zarutskie & Andrei Zlate, 2021. "Motivating Banks to Lend? Credit Spillover Effects of the Main Street Lending Program," Finance and Economics Discussion Series 2021-078, Board of Governors of the Federal Reserve System (U.S.).
- Botshekan , Mohammad Hashem & Takaloo , Amir & H. soureh , Reza & Abdollahi Poor , Mohammad Sadegh, 2021. "Global Economic Policy Uncertainty (GEPU) and Non-Performing Loans (NPL) in Iran's Banking System: Dynamic Correlation using the DCC-GARCH Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(2), pages 187-212, June.
- De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021.
"Monetary policy uncertainty and monetary policy surprises,"
Journal of International Money and Finance, Elsevier, vol. 112(C).
See citations under working paper version above.
- Michiel De Pooter & Giovanni Favara & Michele Modugno & Jason J. Wu, 2020. "Monetary Policy Uncertainty and Monetary Policy Surprises," Finance and Economics Discussion Series 2020-032, Board of Governors of the Federal Reserve System (U.S.).
- Bragoli, Daniela & Modugno, Michele, 2017.
"A now-casting model for Canada: Do U.S. variables matter?,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
See citations under working paper version above.
- Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
- Altavilla, Carlo & Giannone, Domenico & Modugno, Michele, 2017.
"Low frequency effects of macroeconomic news on government bond yields,"
Journal of Monetary Economics, Elsevier, vol. 92(C), pages 31-46.
See citations under working paper version above.
- Carlo Altavilla & Domenico Giannone & Michele Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," CSEF Working Papers 372, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Carlo Altavilla & Domenico Giannone & Michèle Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Working Papers ECARES ECARES 2014-34, ULB -- Universite Libre de Bruxelles.
- Carlo Altavilla & Domenico Giannone & Michele Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Finance and Economics Discussion Series 2014-52, Board of Governors of the Federal Reserve System (U.S.).
- Antonello D’Agostino & Michele Modugno & Chiara Osbat, 2017.
"A Global Trade Model for the Euro Area,"
International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 1-34, December.
See citations under working paper version above.
- Osbat, Chiara & D'Agostino, Antonello & Modugno, Michele, 2016. "A global trade model for the euro area," Working Paper Series 1986, European Central Bank.
- Antonello D'Agostino & Michele Modugno & Chiara Osbat, 2015. "A Global Trade Model for the Euro Area," Finance and Economics Discussion Series 2015-13, Board of Governors of the Federal Reserve System (U.S.).
- Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016.
"Nowcasting Turkish GDP and news decomposition,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
See citations under working paper version above.
- Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016. "Nowcasting Turkish GDP and News Decomposition," Finance and Economics Discussion Series 2016-044, Board of Governors of the Federal Reserve System (U.S.).
- Laura Coroneo & Domenico Giannone & Michele Modugno, 2016.
"Unspanned Macroeconomic Factors in the Yield Curve,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 472-485, July.
See citations under working paper version above.
- Laura Coroneo & Domenico Giannone & Michele Modugno, 2014. "Unspanned macroeconomic factors in the yield curve," Finance and Economics Discussion Series 2014-57, Board of Governors of the Federal Reserve System (U.S.).
- Laura Coroneo & Domenico Giannone & Michèle Modugno, 2013. "Unspanned Macroeconomic Factors in the Yields Curve," Working Papers ECARES ECARES 2013-07, ULB -- Universite Libre de Bruxelles.
- Daniela Bragoli & Luca Metelli & Michele Modugno, 2015.
"The importance of updating: Evidence from a Brazilian nowcasting model,"
OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(1), pages 5-22.
See citations under working paper version above.
- Daniela Bragoli & Luca Metelli & Michele Modugno, 2014. "The Importance of Updating: Evidence from a Brazilian Nowcasting Model," Finance and Economics Discussion Series 2014-94, Board of Governors of the Federal Reserve System (U.S.).
- Marta Bańbura & Michele Modugno, 2014.
"Maximum Likelihood Estimation Of Factor Models On Datasets With Arbitrary Pattern Of Missing Data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 133-160, January.
See citations under working paper version above.
- Bańbura, Marta & Modugno, Michele, 2010. "Maximum likelihood estimation of factor models on data sets with arbitrary pattern of missing data," Working Paper Series 1189, European Central Bank.
- Modugno, Michele, 2013.
"Now-casting inflation using high frequency data,"
International Journal of Forecasting, Elsevier, vol. 29(4), pages 664-675.
See citations under working paper version above.
- Modugno, Michele, 2011. "Nowcasting inflation using high frequency data," Working Paper Series 1324, European Central Bank.
- Domenico Giannone & Jérôme Henry & Magdalena Lalik & Michele Modugno, 2012.
"An Area-Wide Real-Time Database for the Euro Area,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1000-1013, November.
See citations under working paper version above.
- Henry, Jerome & Giannone, Domenico & Lalik, Magdalena & Modugno, Michele, 2010. "An Area-Wide Real-Time Database for the Euro Area," CEPR Discussion Papers 7673, C.E.P.R. Discussion Papers.
- Domenico Giannone & Jérôme Henry & Magdalena Lalik & Michèle Modugno, 2010. "An Area Wide Real Time Data Base for the Euro Area," Working Papers ECARES ECARES 2010-026, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Henry, Jérôme & Lalik, Magdalena & Modugno, Michele, 2010. "An area-wide real-time database for the euro area," Working Paper Series 1145, European Central Bank.
Chapters
- Antonello D’Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2016.
"Nowcasting Business Cycles: A Bayesian Approach to Dynamic Heterogeneous Factor Models,"
Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 569-594,
Emerald Group Publishing Limited.
See citations under working paper version above.
- Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
- Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013.
"Now-Casting and the Real-Time Data Flow,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237,
Elsevier.
See citations under working paper version above.Sorry, no citations of chapters recorded.
- Martha Banbura & Domenico Giannone & Michèle Modugno & Lucrezia Reichlin, 2012. "Now-Casting and the Real-Time Data Flow," Working Papers ECARES ECARES 2012-026, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta & Modugno, Michele, 2013. "Now-casting and the real-time data flow," Working Paper Series 1564, European Central Bank.
- Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.