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Ernst Schaumburg

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Mila Getmansky & Ravi Jagannathan & Loriana Pelizzon & Ernst Schaumburg & Darya Yuferova, 2017. "Stock Price Crashes: Role of Slow-Moving Capital," NBER Working Papers 24098, National Bureau of Economic Research, Inc.

    Cited by:

    1. Amin, Shehryar & Tédongap, Roméo, 2023. "The changing landscape of treasury auctions," Journal of Banking & Finance, Elsevier, vol. 148(C).

  2. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2016. "Characteristic-Sorted Portfolios: Estimation and Inference," Staff Reports 788, Federal Reserve Bank of New York.

    Cited by:

    1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "On Binscatter," Papers 1902.09608, arXiv.org, revised Apr 2024.
    2. Ni, Xuanming & Zheng, Tiantian & Zhao, Huimin & Zhu, Shushang, 2023. "High-dimensional portfolio optimization based on tree-structured factor model," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
    3. Joachim Freyberger & Andreas Neuhierl & Michael Weber & Michael Weber, 2018. "Dissecting Characteristics Nonparametrically," CESifo Working Paper Series 7187, CESifo.
    4. Chaieb, Ines & Langlois, Hugues & Scaillet, Olivier, 2021. "Factors and risk premia in individual international stock returns," Journal of Financial Economics, Elsevier, vol. 141(2), pages 669-692.
    5. Christophe J. GODLEWSKI & Katarzyna BYRKA-KITA & Renata GOLA & Jacek CYPRYJANSKI, 2022. "Silence is not golden anymore? Social media activity and stock market valuation in Europe," Working Papers of LaRGE Research Center 2022-04, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    6. Yu, Xiufan & Yao, Jiawei & Xue, Lingzhou, 2024. "Power enhancement for testing multi-factor asset pricing models via Fisher’s method," Journal of Econometrics, Elsevier, vol. 239(2).
    7. Matias Cattaneo & Richard K. Crump & Weining Wang, 2024. "Beta-sorted portfolios," CeMMAP working papers 20/24, Institute for Fiscal Studies.
    8. Jianyuan Zhong & Zhijian Xu & Saizhuo Wang & Xiangyu Wen & Jian Guo & Qiang Xu, 2024. "DSPO: An End-to-End Framework for Direct Sorted Portfolio Construction," Papers 2405.15833, arXiv.org.
    9. Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
    10. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2018. "Large Sample Properties of Partitioning-Based Series Estimators," Papers 1804.04916, arXiv.org, revised Jun 2019.
    11. Kim, Junyong, 2024. "Zoom in on momentum," International Review of Financial Analysis, Elsevier, vol. 94(C).

  3. Michael J. Fleming & Frank M. Keane & Ernst Schaumburg, 2016. "Primary Dealer Participation in the Secondary U.S. Treasury Market," Liberty Street Economics 20160212, Federal Reserve Bank of New York.

    Cited by:

    1. 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).
    2. 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).
    3. Onofrio Panzarino, 2023. "Investor behavior under market stress:evidence from the Italian sovereign bond market," Temi di discussione (Economic working papers) 33, Bank of Italy, Economic Research and International Relations Area.

  4. Torben G. Andersen & Dobrislav Dobrev & Ernst Schaumburg, 2013. "A robust neighborhood truncation approach to estimation of integrated quarticity," International Finance Discussion Papers 1078, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Dette, Holger & Golosnoy, Vasyl & Kellermann, Janosch, 2022. "Correcting Intraday Periodicity Bias in Realized Volatility Measures," Econometrics and Statistics, Elsevier, vol. 23(C), pages 36-52.
    2. Wang, Bin & Zheng, Xu, 2022. "Testing for the presence of jump components in jump diffusion models," Journal of Econometrics, Elsevier, vol. 230(2), pages 483-509.
    3. Simon Clinet & Yoann Potiron, 2017. "Efficient asymptotic variance reduction when estimating volatility in high frequency data," Papers 1701.01185, arXiv.org, revised Jun 2018.
    4. Milan Ficura & Jiri Witzany, 2016. "Estimating Stochastic Volatility and Jumps Using High-Frequency Data and Bayesian Methods," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 278-301, August.
    5. Simon Clinet & Yoann Potiron, 2017. "Estimation for high-frequency data under parametric market microstructure noise," Papers 1712.01479, arXiv.org, revised Sep 2020.
    6. Donggyu Kim & Minseok Shin & Yazhen Wang, 2023. "Overnight GARCH-Itô Volatility Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1215-1227, October.
    7. Pierre Bajgrowicz & Olivier Scaillet & Adrien Treccani, 2016. "Jumps in High-Frequency Data: Spurious Detections, Dynamics, and News," Management Science, INFORMS, vol. 62(8), pages 2198-2217, August.
    8. Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2016. "Exploiting the errors: A simple approach for improved volatility forecasting," Journal of Econometrics, Elsevier, vol. 192(1), pages 1-18.
    9. Mykland, Per A. & Zhang, Lan, 2021. "The Observed Asymptotic Variance: Hard edges, and a regression approach," Journal of Econometrics, Elsevier, vol. 222(1), pages 411-428.
    10. Holger Dette & Vasyl Golosnoy & Janosch Kellermann, 2023. "The effect of intraday periodicity on realized volatility measures," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(3), pages 315-342, April.
    11. Shen, Yiwen & Shi, Meiqi, 2024. "Intraday variation in cross-sectional stock comovement and impact of index-based strategies," Journal of Financial Markets, Elsevier, vol. 68(C).
    12. Yingjie Dong & Yiu-Kuen Tse, 2017. "Business Time Sampling Scheme with Applications to Testing Semi-Martingale Hypothesis and Estimating Integrated Volatility," Econometrics, MDPI, vol. 5(4), pages 1-19, November.
    13. Giulia Livieri & Maria Elvira Mancino & Stefano Marmi, 2019. "Asymptotic results for the Fourier estimator of the integrated quarticity," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 471-502, December.
    14. Mykland, Per A. & Zhang, Lan, 2016. "Between data cleaning and inference: Pre-averaging and robust estimators of the efficient price," Journal of Econometrics, Elsevier, vol. 194(2), pages 242-262.

  5. David O. Lucca & Ernst Schaumburg, 2011. "What to Make of Market Measures of Inflation Expectations?," Liberty Street Economics 20110815, Federal Reserve Bank of New York.

    Cited by:

    1. Michael J. Fleming & John Sporn, 2013. "Trading activity and price transparency in the inflation swap market," Economic Policy Review, Federal Reserve Bank of New York, vol. 19(May), pages 45-57.
    2. Petra Gerlach-Kristen & Richhild Moessner & Rina Rosenblatt-Wisch, 2018. "Computing Long-Term Market Inflation Expectations for Countries without Inflation Expectation Markets," Russian Journal of Money and Finance, Bank of Russia, vol. 77(3), pages 23-48, September.
    3. Binder, Carola Conces, 2016. "Estimation of historical inflation expectations," Explorations in Economic History, Elsevier, vol. 61(C), pages 1-31.

  6. Zhi Da & Qianqiu Liu & Ernst Schaumburg, 2011. "Decomposing short-term return reversal," Staff Reports 513, Federal Reserve Bank of New York.

    Cited by:

    1. Campbell R. Harvey & Yan Liu & Heqing Zhu, 2014. ". . . and the Cross-Section of Expected Returns," NBER Working Papers 20592, National Bureau of Economic Research, Inc.
    2. Zaremba, Adam & Long, Huaigang & Karathanasopoulos, Andreas, 2019. "Short-term momentum (almost) everywhere," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    3. Blitz, David & Huij, Joop & Lansdorp, Simon & Verbeek, Marno, 2013. "Short-term residual reversal," Journal of Financial Markets, Elsevier, vol. 16(3), pages 477-504.
    4. Meng, Xiangtong & Zhang, Wei & Li, Youwei & Cao, Xing & Feng, Xu, 2020. "Social media effect, investor recognition and the cross-section of stock returns," International Review of Financial Analysis, Elsevier, vol. 67(C).
    5. Robert Ślepaczuk & Grzegorz Zakrzewski & Paweł Sakowski, 2012. "Investment strategies beating the market. What can we squeeze from the market?," Working Papers 2012-04, Faculty of Economic Sciences, University of Warsaw.

  7. Torben G. Andersen & Dobrislav Dobrev & Ernst Schaumburg, 2011. "A Functional Filtering and Neighborhood Truncation Approach to Integrated Quarticity Estimation," NBER Working Papers 17152, National Bureau of Economic Research, Inc.

    Cited by:

    1. Maria Elvira Mancino & Simona Sanfelici, 2011. "Estimation of Quarticity with High Frequency Data," Working Papers - Mathematical Economics 2011-06, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, revised Jan 2012.
    2. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," CREATES Research Papers 2011-37, Department of Economics and Business Economics, Aarhus University.
    3. Andersen, Torben G. & Dobrev, Dobrislav & Schaumburg, Ernst, 2012. "Jump-robust volatility estimation using nearest neighbor truncation," Journal of Econometrics, Elsevier, vol. 169(1), pages 75-93.
    4. Rene Carmona & Laura Leal, 2021. "Optimal Execution with Quadratic Variation Inventories," Papers 2104.14615, arXiv.org.
    5. Neil Shephard & Kevin Sheppard, 2012. "Efficient and feasible inference for the components of financial variation using blocked multipower variation," Economics Series Working Papers 593, University of Oxford, Department of Economics.
    6. Chin Wen CHEONG & Lee Min CHERNG & Grace Lee Ching YAP, 2016. "Heterogeneous Market Hypothesis Evaluations using Various Jump-Robust Realized Volatility," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 50-64, December.
    7. Rasmus Tangsgaard Varneskov, 2011. "Generalized Flat-Top Realized Kernel Estimation of Ex-Post Variation of Asset Prices Contaminated by Noise," CREATES Research Papers 2011-31, Department of Economics and Business Economics, Aarhus University.
    8. Ewald, Christian & Zou, Yihan, 2021. "Stochastic volatility: A tale of co-jumps, non-normality, GMM and high frequency data," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 37-52.
    9. Vortelinos, Dimitrios I., 2015. "The Greek equity market in European equity portfolios," Economic Modelling, Elsevier, vol. 49(C), pages 144-153.

  8. Torben G. Andersen & Dobrislav Dobrev & Ernst Schaumburg, 2009. "Jump-Robust Volatility Estimation using Nearest Neighbor Truncation," NBER Working Papers 15533, National Bureau of Economic Research, Inc.

    Cited by:

    1. Audrino, Francesco & Fengler, Matthias, 2013. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Economics Working Paper Series 1311, University of St. Gallen, School of Economics and Political Science.
    2. Yoann Potiron & Per Mykland, 2015. "Estimation of integrated quadratic covariation with endogenous sampling times," Papers 1507.01033, arXiv.org, revised Nov 2016.
    3. Degiannakis, Stavros & Filis, George & Klein, Tony & Walther, Thomas, 2019. "Forecasting Realized Volatility of Agricultural Commodities," MPRA Paper 96267, University Library of Munich, Germany.
    4. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers 202009, University of Pretoria, Department of Economics.
    5. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Post-Print halshs-01442618, HAL.
    6. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Oil-Price Volatility: The Role of Financial Stress and Asymmetric Loss," Working Papers 201903, University of Pretoria, Department of Economics.
    7. Dette, Holger & Golosnoy, Vasyl & Kellermann, Janosch, 2022. "Correcting Intraday Periodicity Bias in Realized Volatility Measures," Econometrics and Statistics, Elsevier, vol. 23(C), pages 36-52.
    8. Boudt, Kris & Dragun, Kirill & Sauri, Orimar & Vanduffel, Steven, 2023. "ETF Basket-Adjusted Covariance estimation," Journal of Econometrics, Elsevier, vol. 235(2), pages 1144-1171.
    9. Grace Lee Ching Yap, 2020. "Optimal Filter Approximations for Latent Long Memory Stochastic Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 547-568, August.
    10. Demirer, Riza & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Time-varying risk aversion and realized gold volatility," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    11. Kim Christensen & Roel Oomen & Mark Podolskij, 2009. "Realised Quantile-Based Estimation of the Integrated Variance," CREATES Research Papers 2009-27, Department of Economics and Business Economics, Aarhus University.
    12. Cheng, Mingmian & Liao, Yuan & Yang, Xiye, 2023. "Uniform predictive inference for factor models with instrumental and idiosyncratic betas," Journal of Econometrics, Elsevier, vol. 237(2).
    13. Gilder, Dudley & Shackleton, Mark B. & Taylor, Stephen J., 2014. "Cojumps in stock prices: Empirical evidence," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 443-459.
    14. Bauwens, Luc & Chevillon, Guillaume & Laurent, Sébastien, 2023. "We modeled long memory with just one lag!," Journal of Econometrics, Elsevier, vol. 236(1).
    15. Sévi, Benoît, 2015. "Explaining the convenience yield in the WTI crude oil market using realized volatility and jumps," Economic Modelling, Elsevier, vol. 44(C), pages 243-251.
    16. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Post-Print halshs-02505861, HAL.
    17. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    18. Chuong Luong & Nikolai Dokuchaev, 2016. "Modeling Dependency Of Volatility On Sampling Frequency Via Delay Equations," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-21, June.
    19. Filip Žikeš & Jozef Baruník, 2016. "Semi-parametric Conditional Quantile Models for Financial Returns and Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 14(1), pages 185-226.
    20. Da Fonseca, José & Ignatieva, Katja, 2019. "Jump activity analysis for affine jump-diffusion models: Evidence from the commodity market," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 45-62.
    21. Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2019. "Overnight Momentum, Informational Shocks, and Late-Informed Trading in China," MPRA Paper 96784, University Library of Munich, Germany.
    22. Wang, Bin & Zheng, Xu, 2022. "Testing for the presence of jump components in jump diffusion models," Journal of Econometrics, Elsevier, vol. 230(2), pages 483-509.
    23. Fabrizio Cipollini & Giampiero M. Gallo & Edoardo Otranto, 2019. "Realized Volatility Forecasting: Robustness to Measurement Errors," Econometrics Working Papers Archive 2019_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    24. Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2016. "Modeling and Forecasting (Un)Reliable Realized Covariances for More Reliable Financial Decisions," CREATES Research Papers 2016-10, Department of Economics and Business Economics, Aarhus University.
    25. Jozef Barunik & Lukas Vacha, 2015. "Realized wavelet-based estimation of integrated variance and jumps in the presence of noise," Quantitative Finance, Taylor & Francis Journals, vol. 15(8), pages 1347-1364, August.
    26. Chevallier, Julien & Sévi, Benoît, 2012. "On the volatility–volume relationship in energy futures markets using intraday data," Energy Economics, Elsevier, vol. 34(6), pages 1896-1909.
    27. Chen, Cathy W.S. & Hsu, Hsiao-Yun & Watanabe, Toshiaki, 2023. "Tail risk forecasting of realized volatility CAViaR models," Finance Research Letters, Elsevier, vol. 51(C).
    28. Barunik, Jozef & Krehlik, Tomas & Vacha, Lukas, 2016. "Modeling and forecasting exchange rate volatility in time-frequency domain," European Journal of Operational Research, Elsevier, vol. 251(1), pages 329-340.
    29. Arumugam, Devika & Prasanna, P. Krishna & Marathe, Rahul R., 2023. "Do algorithmic traders exploit volatility?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    30. Manabu Asai & Michael McAleer, 2017. "The impact of jumps and leverage in forecasting covolatility," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 638-650, October.
    31. Barunik, Jozef & Vacha, Lukas, 2018. "Do co-jumps impact correlations in currency markets?," Journal of Financial Markets, Elsevier, vol. 37(C), pages 97-119.
    32. Faheem Aslam & Yasir Tariq Mohmand & Saqib Aziz & Jamal Ouenniche, 2020. "A complex networks based analysis of jump risk in equity returns: An evidence using intraday movements from Pakistan stock market," Post-Print hal-03160685, HAL.
    33. Virgil DAMIAN & Cosmin – Octavian CEPOI, 2016. "Volatility Estimators With High-Frequency Data From Bucharest Stock Exchange," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 247-264.
    34. Liu, Jing & Ma, Feng & Zhang, Yaojie, 2019. "Forecasting the Chinese stock volatility across global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 466-477.
    35. Lyócsa, Štefan & Todorova, Neda, 2020. "Trading and non-trading period realized market volatility: Does it matter for forecasting the volatility of US stocks?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 628-645.
    36. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427, Edward Elgar Publishing.
    37. Worapree Maneesoonthorn & Gael M. Martin & Catherine S. Forbes, 2017. "High-Frequency Jump Tests: Which Test Should We Use?," Papers 1708.09520, arXiv.org, revised Jan 2020.
    38. Dehua Shen & Andrew Urquhart & Pengfei Wang, 2020. "Forecasting the volatility of Bitcoin: The importance of jumps and structural breaks," European Financial Management, European Financial Management Association, vol. 26(5), pages 1294-1323, November.
    39. Trong‐Nghia Nguyen & Minh‐Ngoc Tran & Robert Kohn, 2022. "Recurrent conditional heteroskedasticity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1031-1054, August.
    40. Hotta, Luiz & Trucíos, Carlos, 2015. "Robust bootstrap forecast densities for GARCH models: returns, volatilities and value-at-risk," DES - Working Papers. Statistics and Econometrics. WS ws1523, Universidad Carlos III de Madrid. Departamento de Estadística.
    41. Özbekler, Ali Gencay & Kontonikas, Alexandros & Triantafyllou, Athanasios, 2020. "Volatility Forecasting in European Government Bond Markets," Essex Finance Centre Working Papers 27362, University of Essex, Essex Business School.
    42. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2015. "Volatility transmission in global financial markets," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 3-18.
    43. Antonio Naimoli & Giuseppe Storti, 2021. "Forecasting Volatility and Tail Risk in Electricity Markets," JRFM, MDPI, vol. 14(7), pages 1-17, June.
    44. Aslam, Faheem & Mohmand, Yasir Tariq & Aziz, Saqib & Ouenniche, Jamal, 2020. "A complex networks based analysis of jump risk in equity returns: An evidence using intraday movements from Pakistan stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    45. Wen Cheong Chin & Min Cherng Lee, 2018. "S&P500 volatility analysis using high-frequency multipower variation volatility proxies," Empirical Economics, Springer, vol. 54(3), pages 1297-1318, May.
    46. Sévi, Benoît, 2014. "Forecasting the volatility of crude oil futures using intraday data," European Journal of Operational Research, Elsevier, vol. 235(3), pages 643-659.
    47. Fengler, M.R. & Mammen, E. & Vogt, M., 2015. "Specification and structural break tests for additive models with applications to realized variance data," Journal of Econometrics, Elsevier, vol. 188(1), pages 196-218.
    48. Li, Dan & Drovandi, Christopher & Clements, Adam, 2024. "Outlier-robust methods for forecasting realized covariance matrices," International Journal of Forecasting, Elsevier, vol. 40(1), pages 392-408.
    49. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cyber-Attacks, Cryptocurrencies, and Cyber Security," CESifo Working Paper Series 8124, CESifo.
    50. Andersen, Torben G. & Fusari, Nicola & Todorov, Viktor & Varneskov, Rasmus T., 2019. "Unified inference for nonlinear factor models from panels with fixed and large time span," Journal of Econometrics, Elsevier, vol. 212(1), pages 4-25.
    51. Clinet, Simon & Potiron, Yoann, 2019. "Testing if the market microstructure noise is fully explained by the informational content of some variables from the limit order book," Journal of Econometrics, Elsevier, vol. 209(2), pages 289-337.
    52. Štefan Lyócsa & Peter Molnár, 2016. "Volatility forecasting of strategically linked commodity ETFs: gold-silver," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1809-1822, December.
    53. Li, Xiafei & Liao, Yin & Lu, Xinjie & Ma, Feng, 2022. "An oil futures volatility forecast perspective on the selection of high-frequency jump tests," Energy Economics, Elsevier, vol. 116(C).
    54. Christensen, Kim & Oomen, Roel C.A. & Podolskij, Mark, 2014. "Fact or friction: Jumps at ultra high frequency," Journal of Financial Economics, Elsevier, vol. 114(3), pages 576-599.
    55. Harry Vander Elst, 2015. "FloGARCH : Realizing long memory and asymmetries in returns volatility," Working Paper Research 280, National Bank of Belgium.
    56. Todorov, Viktor & Zhang, Yang, 2023. "Bias reduction in spot volatility estimation from options," Journal of Econometrics, Elsevier, vol. 234(1), pages 53-81.
    57. Wu, Hanlin & Li, Pan & Cao, Jiawei & Xu, Zijian, 2024. "Forecasting the Chinese crude oil futures volatility using jump intensity and Markov-regime switching model," Energy Economics, Elsevier, vol. 134(C).
    58. Li, Yifan & Nolte, Ingmar & Vasios, Michalis & Voev, Valeri & Xu, Qi, 2022. "Weighted Least Squares Realized Covariation Estimation," Journal of Banking & Finance, Elsevier, vol. 137(C).
    59. Timo Dimitriadis & Roxana Halbleib & Jeannine Polivka & Jasper Rennspies & Sina Streicher & Axel Friedrich Wolter, 2022. "Efficient Sampling for Realized Variance Estimation in Time-Changed Diffusion Models," Papers 2212.11833, arXiv.org, revised Dec 2023.
    60. Marcel Aloy & Gilles de Truchis, 2015. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Post-Print hal-01410660, HAL.
    61. Aitor Ciarreta & Peru Muniain & Ainhoa Zarraga, 2020. "Realized volatility and jump testing in the Japanese electricity spot market," Empirical Economics, Springer, vol. 58(3), pages 1143-1166, March.
    62. Liu, Yi & Liu, Huifang & Zhang, Lei, 2019. "Modeling and forecasting return jumps using realized variation measures," Economic Modelling, Elsevier, vol. 76(C), pages 63-80.
    63. Sebastiano Michele Zema & Francesco Cordoni, 2023. "A non-Normal framework for price discovery: The independent component based information shares measure," LEM Papers Series 2023/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    64. Arouri, Mohamed & M’saddek, Oussama & Nguyen, Duc Khuong & Pukthuanthong, Kuntara, 2019. "Cojumps and asset allocation in international equity markets," Journal of Economic Dynamics and Control, Elsevier, vol. 98(C), pages 1-22.
    65. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    66. Kirill Dragun & Kris Boudt & Orimar Sauri & Steven Vanduffel, 2021. "Beta-Adjusted Covariance Estimation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1010, Ghent University, Faculty of Economics and Business Administration.
    67. Sébastien Laurent & Shuping Shi, 2018. "Volatility Estimation and Jump Detection for drift-diffusion Processes," Working Papers halshs-01944449, HAL.
    68. Aviral Kumar Tiwari & Goodness C. Aye & Rangan Gupta & Konstantinos Gkillas, 2019. "Gold-Oil Dependence Dynamics and the Role of Geopolitical Risks: Evidence from a Markov-Switching Time-Varying Copula Model," Working Papers 201918, University of Pretoria, Department of Economics.
    69. Pham, Son Duy & Nguyen, Thao Thac Thanh & Li, Xiao-Ming, 2024. "Stabilizing global foreign exchange markets in the time of COVID-19: The role of vaccinations," Global Finance Journal, Elsevier, vol. 59(C).
    70. Kevin Sheppard & Lily Liu & Andrew J. Patton, 2013. "Does Anything Beat 5-Minute RV? A Comparison of Realized Measures Across Multiple Asset Classes," Economics Series Working Papers 645, University of Oxford, Department of Economics.
    71. Malinská, Barbora, 2022. "Time-varying pricing of risk in sovereign bond futures returns," Finance Research Letters, Elsevier, vol. 47(PA).
    72. Riza Demirer & Konstantinos Gkillas & Christos Kountzakis & Amaryllis Mavragani, 2020. "Risk Appetite and Jumps in Realized Correlation," Mathematics, MDPI, vol. 8(12), pages 1-11, December.
    73. Köchling, Gerrit & Schmidtke, Philipp & Posch, Peter N., 2020. "Volatility forecasting accuracy for Bitcoin," Economics Letters, Elsevier, vol. 191(C).
    74. Bergsli, Lykke Øverland & Lind, Andrea Falk & Molnár, Peter & Polasik, Michał, 2022. "Forecasting volatility of Bitcoin," Research in International Business and Finance, Elsevier, vol. 59(C).
    75. Dovonon, Prosper & Goncalves, Silvia & Hounyo, Ulrich & Meddahi, Nour, 2017. "Bootstrapping high-frequency jump tests," IDEI Working Papers 870, Institut d'Économie Industrielle (IDEI), Toulouse.
    76. Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2022. "Risk aversion and the predictability of crude oil market volatility: A forecasting experiment with random forests," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(8), pages 1755-1767, August.
    77. Eduardo Rossi & Paolo Santucci de Magistris, 2018. "Indirect inference with time series observed with error," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 874-897, September.
    78. Andor, György & Bohák, András, 2017. "Identifying events in financial time series – A new approach with bipower variation," Finance Research Letters, Elsevier, vol. 22(C), pages 42-48.
    79. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," CREATES Research Papers 2011-37, Department of Economics and Business Economics, Aarhus University.
    80. Bent Jesper Christensen & Rasmus Tangsgaard Varneskov, 2021. "Dynamic Global Currency Hedging [Arbitrage in the Foreign Exchange Market: Turning on the Microscope]," Journal of Financial Econometrics, Oxford University Press, vol. 19(1), pages 97-127.
    81. Gkillas, Konstantinos & Boako, Gideon & Vortelinos, Dimitrios & Vasiliadis, Lavrentios, 2020. "Non-parametric quantile dependencies between volatility discontinuities and political risk," Finance Research Letters, Elsevier, vol. 32(C).
    82. Denisa BANULESCU-RADU & Elena Ivona DUMITRESCU, 2019. "Do High-frequency-based Measures Improve Conditional Covariance Forecasts?," LEO Working Papers / DR LEO 2709, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    83. Han, Seung-Oh & Huh, Sahn-Wook & Park, Jeayoung, 2023. "Detecting jumps amidst prevalent zero returns: Evidence from the U.S. Treasury securities," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 276-307.
    84. Chorro, Christophe & Ielpo, Florian & Sévi, Benoît, 2020. "The contribution of intraday jumps to forecasting the density of returns," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    85. Gkillas, Konstantinos & Konstantatos, Christoforos & Floros, Christos & Tsagkanos, Athanasios, 2021. "Realized volatility spillovers between US spot and futures during ECB news: Evidence from the European sovereign debt crisis," International Review of Financial Analysis, Elsevier, vol. 74(C).
    86. Pan, Ging-Ginq & Shiu, Yung-Ming & Wu, Tu-Cheng, 2022. "Can risk-neutral skewness and kurtosis subsume the information content of historical jumps?," Journal of Financial Markets, Elsevier, vol. 57(C).
    87. Ubukata, Masato & Watanabe, Toshiaki, 2015. "Evaluating the performance of futures hedging using multivariate realized volatility," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 148-171.
    88. BOUSALAM, Issam & HAMZAOUI, Moustapha & ZOUHAYR, Otman, 2016. "Forecasting Daily Stock Volatility Using GARCH-CJ Type Models with Continuous and Jump Variation," MPRA Paper 69636, University Library of Munich, Germany.
    89. Wang Gao & Jiajia Wei & Shixiong Yang, 2023. "The Asymmetric Effects of Extreme Climate Risk Perception on Coal Futures Return Dynamics: Evidence from Nonparametric Causality-In-Quantiles Tests," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    90. Eric Hillebrand & Marcelo C. Medeiros, 2012. "Nonlinearity, Breaks, and Long-Range Dependence in Time-Series Models," CREATES Research Papers 2012-30, Department of Economics and Business Economics, Aarhus University.
    91. Masato Ubukata & Toshiaki Watanabe, 2014. "Pricing Nikkei 225 Options Using Realized Volatility," The Japanese Economic Review, Japanese Economic Association, vol. 65(4), pages 431-467, December.
    92. Konstantinos Gkillas & Dimitrios Vortelinos & Christos Floros & Alexandros Garefalakis & Nikolaos Sariannidis, 2020. "Greek sovereign crisis and European exchange rates: effects of news releases and their providers," Annals of Operations Research, Springer, vol. 294(1), pages 515-536, November.
    93. Palomba, Giulio & Tedeschi, Marco, 2024. "Contagion among European financial indices, evidence from a quantile VAR approach," Economic Systems, Elsevier, vol. 48(2).
    94. Bonato, Matteo & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "A note on investor happiness and the predictability of realized volatility of gold," Finance Research Letters, Elsevier, vol. 39(C).
    95. Klein, Tony, 2024. "Investor behavior in times of conflict: A natural experiment on the interplay of geopolitical risk and defense stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 222(C), pages 294-313.
    96. Vander Elst, Harry & Veredas, David, 2014. "Disentangled jump-robust realized covariances and correlations with non-synchronous prices," DES - Working Papers. Statistics and Econometrics. WS ws142416, Universidad Carlos III de Madrid. Departamento de Estadística.
    97. Luo, Jiawen & Klein, Tony & Ji, Qiang & Hou, Chenghan, 2022. "Forecasting realized volatility of agricultural commodity futures with infinite Hidden Markov HAR models," International Journal of Forecasting, Elsevier, vol. 38(1), pages 51-73.
    98. Lyócsa, Štefan & Molnár, Peter, 2018. "Exploiting dependence: Day-ahead volatility forecasting for crude oil and natural gas exchange-traded funds," Energy, Elsevier, vol. 155(C), pages 462-473.
    99. Noss, Joseph & Pedace, Lucas & Tobek, Ondrej & Linton, Oliver & Crowley-Reidy, Liam, 2017. "The October 2016 sterling flash episode: when liquidity disappeared from one of the world’s most liquid markets," Bank of England working papers 687, Bank of England.
    100. Peter Christoffersen & Bruno Feunou & Yoontae Jeon & Chayawat Ornthanalai, 2016. "Time-Varying Crash Risk: The Role of Stock Market Liquidity," Staff Working Papers 16-35, Bank of Canada.
    101. Park, Joon Y. & Wang, Bin, 2021. "Nonparametric estimation of jump diffusion models," Journal of Econometrics, Elsevier, vol. 222(1), pages 688-715.
    102. Klein, Tony & Todorova, Neda, 2019. "Night Trading with Futures in China: The Case of Aluminum and Copper," QBS Working Paper Series 2019/06, Queen's University Belfast, Queen's Business School.
    103. Soojin Jo, 2012. "The Effects of Oil Price Uncertainty on the Macroeconomy," Staff Working Papers 12-40, Bank of Canada.
    104. Slim, Skander & Dahmene, Meriam, 2016. "Asymmetric information, volatility components and the volume–volatility relationship for the CAC40 stocks," Global Finance Journal, Elsevier, vol. 29(C), pages 70-84.
    105. Huang, Jiefei & Xu, Yang & Song, Yuping, 2022. "A high-frequency approach to VaR measures and forecasts based on the HAR-QREG model with jumps," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    106. Qu, Hui & Duan, Qingling & Niu, Mengyi, 2018. "Modeling the volatility of realized volatility to improve volatility forecasts in electricity markets," Energy Economics, Elsevier, vol. 74(C), pages 767-776.
    107. Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian & Shahzad, Syed Jawad Hussain, 2020. "The predictive power of oil price shocks on realized volatility of oil: A note," Resources Policy, Elsevier, vol. 69(C).
    108. Boudt, Kris & Petitjean, Mikael, 2014. "Intraday liquidity dynamics and news releases around price jumps: Evidence from the DJIA stocks," LIDAM Reprints LFIN 2014006, Université catholique de Louvain, Louvain Finance (LFIN).
    109. Chevillon, G. & Hecq, A.W. & Laurent, S.F.J.A., 2015. "Long memory through marginalization of large systems and hidden cross-section dependence," Research Memorandum 014, Maastricht University, Graduate School of Business and Economics (GSBE).
    110. Francesco Audrino & Simon D. Knaus, 2016. "Lassoing the HAR Model: A Model Selection Perspective on Realized Volatility Dynamics," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1485-1521, December.
    111. Taylor, Nick, 2017. "Realised variance forecasting under Box-Cox transformations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 770-785.
    112. Siem Jan Koopman & Marcel Scharth, 2011. "The Analysis of Stochastic Volatility in the Presence of Daily Realised Measures," Tinbergen Institute Discussion Papers 11-132/4, Tinbergen Institute.
    113. Peter Reinhard Hansen & Zhuo Huang & Chen Tong & Tianyi Wang, 2024. "Realized GARCH, CBOE VIX, and the Volatility Risk Premium," Journal of Financial Econometrics, Oxford University Press, vol. 22(1), pages 187-223.
    114. Giuseppe Buccheri & Stefano Grassi & Giorgio Vocalelli, 2021. "Estimating Risk in Illiquid Markets: a Model of Market Friction with Stochastic Volatility," CEIS Research Paper 506, Tor Vergata University, CEIS, revised 08 Nov 2021.
    115. Zhou, Haigang & Zhu, John Qi, 2019. "Firm characteristics and jump dynamics in stock prices around earnings announcements," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    116. Simon Clinet & Yoann Potiron, 2017. "Efficient asymptotic variance reduction when estimating volatility in high frequency data," Papers 1701.01185, arXiv.org, revised Jun 2018.
    117. Christophe Boucher & Gilles de Truchis & Elena Ivona Dumitrescu & Sessi Tokpavi, 2017. "Testing for Extreme Volatility Transmission with Realized Volatility Measures," Working Papers hal-04141651, HAL.
    118. Piotr Fiszeder & Grzegorz Perczak, 2013. "A new look at variance estimation based on low, high and closing prices taking into account the drift," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(4), pages 456-481, November.
    119. Gerlach, Richard & Naimoli, Antonio & Storti, Giuseppe, 2018. "Time Varying Heteroskedastic Realized GARCH models for tracking measurement error bias in volatility forecasting," MPRA Paper 83893, University Library of Munich, Germany.
    120. Li, Shaoyu & Zheng, Tingguo, 2017. "Modeling spot rate using a realized stochastic volatility model with level effect and dynamic drift☆," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 200-221.
    121. Johnson, James A. & Medeiros, Marcelo C. & Paye, Bradley S., 2022. "Jumps in stock prices: New insights from old data," Journal of Financial Markets, Elsevier, vol. 60(C).
    122. Hui Qu & Ping Ji, 2016. "Modeling Realized Volatility Dynamics with a Genetic Algorithm," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(5), pages 434-444, August.
    123. Hansen, Peter Reinhard, 2015. "A martingale decomposition of discrete Markov chains," Economics Letters, Elsevier, vol. 133(C), pages 14-18.
    124. Gkillas, Konstantinos & Gupta, Rangan & Wohar, Mark E., 2018. "Volatility jumps: The role of geopolitical risks," Finance Research Letters, Elsevier, vol. 27(C), pages 247-258.
    125. Worapree Maneesoonthorn & Gael M Martin & Catherine S Forbes, 2018. "Dynamic price jumps: The performance of high frequency tests and measures, and the robustness of inference," Monash Econometrics and Business Statistics Working Papers 17/18, Monash University, Department of Econometrics and Business Statistics.
    126. Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
    127. Gong, Xu & Lin, Boqiang, 2019. "Modeling stock market volatility using new HAR-type models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 194-211.
    128. Liu, Min, 2022. "The driving forces of green bond market volatility and the response of the market to the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 288-309.
    129. Trucíos, Carlos, 2019. "Forecasting Bitcoin risk measures: A robust approach," International Journal of Forecasting, Elsevier, vol. 35(3), pages 836-847.
    130. Jan Hanousek & Evzen Kocenda & Jan Novotny, 2014. "Price jumps on European stock markets," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 14(1), pages 10-22, March.
    131. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Documents de travail du Centre d'Economie de la Sorbonne 17006, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    132. Ao Kong & Hongliang Zhu & Robert Azencott, 2021. "Predicting intraday jumps in stock prices using liquidity measures and technical indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 416-438, April.
    133. Bilel Sanhaji & Julien Chevallier, 2023. "Tracking ‘Pure’ Systematic Risk with Realized Betas for Bitcoin and Ethereum," Post-Print hal-04218488, HAL.
    134. Lena Cleanthous & Pany Karamanou, 2011. "The ECB Monetary Policy and the Current Financial Crisis," Working Papers 2011-1, Central Bank of Cyprus.
    135. Diego Amaya & Peter Christoffersen & Kris Jacobs & Aurelio Vasquez, 2013. "Does Realized Skewness Predict the Cross-Section of Equity Returns?," CREATES Research Papers 2013-41, Department of Economics and Business Economics, Aarhus University.
    136. T. -N. Nguyen & M. -N. Tran & R. Kohn, 2020. "Recurrent Conditional Heteroskedasticity," Papers 2010.13061, arXiv.org, revised Jan 2022.
    137. Vortelinos, Dimitrios I. & Saha, Shrabani, 2016. "The impact of political risk on return, volatility and discontinuity: Evidence from the international stock and foreign exchange markets," Finance Research Letters, Elsevier, vol. 17(C), pages 222-226.
    138. Tomáš Plíhal, 2021. "Scheduled macroeconomic news announcements and Forex volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1379-1397, December.
    139. Trucíos, Carlos & Hotta, Luiz K., 2016. "Bootstrap prediction in univariate volatility models with leverage effect," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 120(C), pages 91-103.
    140. Nolte, Ingmar & Xu, Qi, 2015. "The economic value of volatility timing with realized jumps," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 45-59.
    141. Xin Zhang & Donggyu Kim & Yazhen Wang, 2016. "Jump Variation Estimation with Noisy High Frequency Financial Data via Wavelets," Econometrics, MDPI, vol. 4(3), pages 1-26, August.
    142. Jan Hanousek & Jan Novotný, 2014. "Cenové skoky během finanční nejistoty: od intuice k regulační perspektivě [Price Jumps during Financial Crisis: From Intuition to Financial Regulation]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(1), pages 32-48.
    143. Kim Christensen & Mark Podolskij & Nopporn Thamrongrat & Bezirgen Veliyev, 2015. "Inference from high-frequency data: A subsampling approach," CREATES Research Papers 2015-45, Department of Economics and Business Economics, Aarhus University.
    144. Sharma, Prateek & Vipul,, 2016. "Forecasting stock market volatility using Realized GARCH model: International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 222-230.
    145. Ying Jiang & Shamim Ahmed & Xiaoquan Liu, 2017. "Volatility forecasting in the Chinese commodity futures market with intraday data," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 1123-1173, May.
    146. Christophe Boucher & Gilles de Truchis & Elena Dumitrescu & Sessi Tokpavi, 2017. "Testing for Extreme Volatility Transmission with Realized Volatility Measures," EconomiX Working Papers 2017-20, University of Paris Nanterre, EconomiX.
    147. Ao Kong & Robert Azencott & Hongliang Zhu & Xindan Li, 2020. "Pattern recognition in micro-trading behaviors before stock price jumps: A framework based on multivariate time series analysis," Papers 2011.04939, arXiv.org, revised Feb 2021.
    148. Konstantinos Gkillas & Rangan Gupta & Chi Keung Marco Lau & Muhammad Tahir Suleman, 2020. "Jumps beyond the realms of cricket: India's performance in One Day Internationals and stock market movements," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(6), pages 1109-1127, April.
    149. Štefan Lyócsa & Roman Horváth, 2018. "Stock Market Contagion: a New Approach," Open Economies Review, Springer, vol. 29(3), pages 547-577, July.
    150. Neil Shephard & Kevin Sheppard, 2012. "Efficient and feasible inference for the components of financial variation using blocked multipower variation," Economics Series Working Papers 593, University of Oxford, Department of Economics.
    151. Liu, Yifan & Popova, Ivilina, 2023. "Threats to central bank independence and exchange rate volatility: High-frequency identification with Trump’s Fed tweets," Finance Research Letters, Elsevier, vol. 53(C).
    152. Chin Wen CHEONG & Lee Min CHERNG & Grace Lee Ching YAP, 2016. "Heterogeneous Market Hypothesis Evaluations using Various Jump-Robust Realized Volatility," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 50-64, December.
    153. Julien Chevallier & Bilel Sanhaji, 2023. "Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices," Post-Print halshs-04344131, HAL.
    154. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2021. "Realized skewness and the short-term predictability for aggregate stock market volatility," Economic Modelling, Elsevier, vol. 103(C).
    155. Andersen, Torben G. & Li, Yingying & Todorov, Viktor & Zhou, Bo, 2023. "Volatility measurement with pockets of extreme return persistence," Journal of Econometrics, Elsevier, vol. 237(2).
    156. Song, Yuping & Huang, Jiefei & Zhang, Qichao & Xu, Yang, 2024. "Heterogeneity effect of positive and negative jumps on the realized volatility: Evidence from China," Economic Modelling, Elsevier, vol. 136(C).
    157. Chiranjit Dutta & Nalini Ravishanker & Sumanta Basu, 2022. "Modeling Multivariate Positive-Valued Time Series Using R-INLA," Papers 2206.05374, arXiv.org, revised Jul 2022.
    158. Jan Novotný & Giovanni Urga, 2018. "Testing for Co-jumps in Financial Markets," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 118-128.
    159. Kim Christensen & Ulrich Hounyo & Mark Podolskij, 2016. "Testing for heteroscedasticity in jumpy and noisy high-frequency data: A resampling approach," CREATES Research Papers 2016-27, Department of Economics and Business Economics, Aarhus University.
    160. Lyócsa, Štefan & Halousková, Martina & Haugom, Erik, 2023. "The US banking crisis in 2023: Intraday attention and price variation of banks at risk," Finance Research Letters, Elsevier, vol. 57(C).
    161. Fei, Tianlun & Liu, Xiaoquan & Wen, Conghua, 2019. "Cross-sectional return dispersion and volatility prediction," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    162. Hecq, A.W. & Palm, F.C. & Laurent, S.F.J.A., 2011. "Common intraday periodicity," Research Memorandum 010, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    163. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02505861, HAL.
    164. Thierry Ane & Carole Metais, 2010. "Jump Distribution Characteristics: Evidence from European Stock Markets," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 9(1), pages 1-22, April.
    165. Donggyu Kim & Minseok Shin & Yazhen Wang, 2023. "Overnight GARCH-Itô Volatility Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1215-1227, October.
    166. Pierre Bajgrowicz & Olivier Scaillet & Adrien Treccani, 2016. "Jumps in High-Frequency Data: Spurious Detections, Dynamics, and News," Management Science, INFORMS, vol. 62(8), pages 2198-2217, August.
    167. Lyócsa, Štefan & Todorova, Neda, 2021. "What drives volatility of the U.S. oil and gas firms?," Energy Economics, Elsevier, vol. 100(C).
    168. Kim Christensen & Ulrich Hounyo & Mark Podolskij, 2017. "Is the diurnal pattern sufficient to explain the intraday variation in volatility? A nonparametric assessment," CREATES Research Papers 2017-30, Department of Economics and Business Economics, Aarhus University.
    169. Klein, Tony & Todorova, Neda, 2021. "Night trading with futures in China: The case of Aluminum and Copper," Resources Policy, Elsevier, vol. 73(C).
    170. Figueroa-López, José E. & Mancini, Cecilia, 2019. "Optimum thresholding using mean and conditional mean squared error," Journal of Econometrics, Elsevier, vol. 208(1), pages 179-210.
    171. Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2016. "Exploiting the errors: A simple approach for improved volatility forecasting," Journal of Econometrics, Elsevier, vol. 192(1), pages 1-18.
    172. Alizadeh, Amir H. & Huang, Chih-Yueh & Marsh, Ian W., 2021. "Modelling the volatility of TOCOM energy futures: A regime switching realised volatility approach," Energy Economics, Elsevier, vol. 93(C).
    173. Caporin, Massimiliano & Rossi, Eduardo & Santucci de Magistris, Paolo, 2017. "Chasing volatility," Journal of Econometrics, Elsevier, vol. 198(1), pages 122-145.
    174. Prateek Sharma & Swati Sharma, 2015. "Forecasting gains of robust realized variance estimators: evidence from European stock markets," Economics Bulletin, AccessEcon, vol. 35(1), pages 61-69.
    175. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš, 2019. "Central bank announcements and realized volatility of stock markets in G7 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 117-135.
    176. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    177. Jean Jacod, 2019. "Estimation of volatility in a high-frequency setting: a short review," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 351-385, December.
    178. Konstantinos Gkillas & Rangan Gupta & Mark E. Wohar, 2020. "Oil shocks and volatility jumps," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 247-272, January.
    179. Eric Jacquier & Cedric Okou, 2013. "Disentangling Continuous Volatility from Jumps in Long-Run Risk-Return Relationships," CIRANO Working Papers 2013s-14, CIRANO.
    180. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2018. "Forecasting (Good and Bad) Realized Exchange-Rate Volatility: Is there a Role for Realized Skewness and Kurtosis?," Working Papers 201879, University of Pretoria, Department of Economics.
    181. Gnabo, Jean-Yves & Hvozdyk, Lyudmyla & Lahaye, Jérôme, 2014. "System-wide tail comovements: A bootstrap test for cojump identification on the S&P 500, US bonds and currencies," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 147-174.
    182. Kris Boudt & Koen Schoors & Milan van den Heuvel & Johannes Weytjens, 2023. "Taming the Zoo of Consumption Responses to Labour Income Changes," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1067, Ghent University, Faculty of Economics and Business Administration.
    183. Li, Gang & Zhang, Chu, 2016. "On the relationship between conditional jump intensity and diffusive volatility," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 196-213.
    184. Zhang, Hongwei & Demirer, Riza & Huang, Jianbai & Huang, Wanjun & Tahir Suleman, Muhammad, 2021. "Economic policy uncertainty and gold return dynamics: Evidence from high-frequency data," Resources Policy, Elsevier, vol. 72(C).
    185. Degiannakis, Stavros & Filis, George, 2023. "Oil price assumptions for macroeconomic policy," Energy Economics, Elsevier, vol. 117(C).
    186. Niu, Zibo & Ma, Feng & Zhang, Hongwei, 2022. "The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 112(C).
    187. Hoga, Yannick, 2021. "The uncertainty in extreme risk forecasts from covariate-augmented volatility models," International Journal of Forecasting, Elsevier, vol. 37(2), pages 675-686.
    188. Stefan Lyocsa & Peter Molnar & Igor Fedorko, 2016. "Forecasting Exchange Rate Volatility: The Case of the Czech Republic, Hungary and Poland," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(5), pages 453-475, October.
    189. Jiang, Wei & Ruan, Qingsong & Li, Jianfeng & Li, Ye, 2018. "Modeling returns volatility: Realized GARCH incorporating realized risk measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 249-258.
    190. Bandi, F.M. & Renò, R., 2016. "Price and volatility co-jumps," Journal of Financial Economics, Elsevier, vol. 119(1), pages 107-146.
    191. Aitor Ciarreta & Peru Muniainy & Ainhoa Zarraga, 2017. "Modelling Realized Volatility in Electricity Spot Prices: New insights and Application to the Japanese Electricity Market," ISER Discussion Paper 0991, Institute of Social and Economic Research, Osaka University.
    192. Paula A. Yepes-Henao & Diego A. Agudelo & Ramazan Gencay, 2018. "Muddying the waters: Who Induces Volatility in an Emerging Market?," Documentos de Trabajo de Valor Público 16974, Universidad EAFIT.
    193. Ao Kong & Hongliang Zhu & Robert Azencott, 2019. "Predicting intraday jumps in stock prices using liquidity measures and technical indicators," Papers 1912.07165, arXiv.org.
    194. Lyócsa, Štefan & Plíhal, Tomáš & Výrost, Tomáš, 2021. "FX market volatility modelling: Can we use low-frequency data?," Finance Research Letters, Elsevier, vol. 40(C).
    195. Omura, Akihiro & Li, Bin & Chung, Richard & Todorova, Neda, 2018. "Convenience yield, realised volatility and jumps: Evidence from non-ferrous metals," Economic Modelling, Elsevier, vol. 70(C), pages 496-510.
    196. Kim, Jihyun & Park, Joon & Wang, Bin, 2020. "Estimation of Volatility Functions in Jump Diffusions Using Truncated Bipower Increments," TSE Working Papers 20-1096, Toulouse School of Economics (TSE).
    197. Jacod, Jean & Mykland, Per A., 2015. "Microstructure noise in the continuous case: Approximate efficiency of the adaptive pre-averaging method," Stochastic Processes and their Applications, Elsevier, vol. 125(8), pages 2910-2936.
    198. Tingguo Zheng & Tao Song, 2014. "A Realized Stochastic Volatility Model With Box-Cox Transformation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 593-605, October.
    199. Masato Ubukata & Toshiaki Watanabe, 2013. "Pricing Nikkei 225 Options Using Realized Volatility," Global COE Hi-Stat Discussion Paper Series gd12-273, Institute of Economic Research, Hitotsubashi University.
    200. Ye, Xu-Guo & Lin, Jin-Guan & Zhao, Yan-Yong & Hao, Hong-Xia, 2015. "Two-step estimation of the volatility functions in diffusion models with empirical applications," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 135-159.
    201. Svetlana Borovkova & Diego Mahakena, 2015. "News, volatility and jumps: the case of natural gas futures," Quantitative Finance, Taylor & Francis Journals, vol. 15(7), pages 1217-1242, July.
    202. Golosnoy, Vasyl & Schmid, Wolfgang & Seifert, Miriam Isabel & Lazariv, Taras, 2020. "Statistical inferences for realized portfolio weights," Econometrics and Statistics, Elsevier, vol. 14(C), pages 49-62.
    203. Tian, Xiao & Duong, Huu Nhan & Kalev, Petko S., 2019. "Information content of the limit order book for crude oil futures price volatility," Energy Economics, Elsevier, vol. 81(C), pages 584-597.
    204. Zhao, X. & Hong, S. Y. & Linton, O. B., 2024. "Jumps Versus Bursts: Dissection and Origins via a New Endogenous Thresholding Approach," Janeway Institute Working Papers 2423, Faculty of Economics, University of Cambridge.
    205. Konstantinos Gkillas & Paraskevi Katsiampa & Dimitrios I. Vortelinos & Mark E. Wohar, 2023. "Greek government‐debt crisis events and European financial markets: News surprises on Greek bond yields and inter‐relations of European financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4037-4054, October.
    206. Fang, Yan & Ielpo, Florian & Sévi, Benoît, 2012. "Empirical bias in intraday volatility measures," Finance Research Letters, Elsevier, vol. 9(4), pages 231-237.
    207. Xiao, Xijuan & Yamamoto, Ryuichi, 2024. "Realized volatility, price informativeness, and tick size: A market microstructure approach," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 410-426.
    208. Nkwoma, Inekwe John, 2017. "Futures-Based Measures Of Monetary Policy And Jump Risk," Macroeconomic Dynamics, Cambridge University Press, vol. 21(2), pages 384-405, March.
    209. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2016. "Common trends in global volatility," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 194-214.
    210. Ahdi Noomen Ajmi & Roula Inglesi-Lotz, 2021. "Revisiting the Kuznets Curve Hypothesis for Tunisia: Carbon Dioxide vs. Ecological Footprint," Working Papers 202171, University of Pretoria, Department of Economics.
    211. Hassan Zada & Huma Maqsood & Shakeel Ahmed & Muhammad Zeb Khan, 2023. "Information shocks, market returns and volatility: a comparative analysis of developed equity markets in Asia," SN Business & Economics, Springer, vol. 3(1), pages 1-22, January.
    212. Mykland, Per A. & Zhang, Lan, 2021. "The Observed Asymptotic Variance: Hard edges, and a regression approach," Journal of Econometrics, Elsevier, vol. 222(1), pages 411-428.
    213. Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 29-53, January.
    214. Oikonomou, Ioannis & Stancu, Andrei & Symeonidis, Lazaros & Wese Simen, Chardin, 2019. "The information content of short-term options," Journal of Financial Markets, Elsevier, vol. 46(C).
    215. Maria Čuljak & Josip Arnerić & Ante Žigman, 2022. "Is Jump Robust Two Times Scaled Estimator Superior among Realized Volatility Competitors?," Mathematics, MDPI, vol. 10(12), pages 1-11, June.
    216. Holger Dette & Vasyl Golosnoy & Janosch Kellermann, 2023. "The effect of intraday periodicity on realized volatility measures," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(3), pages 315-342, April.
    217. Lyócsa, Štefan & Molnár, Peter, 2017. "The effect of non-trading days on volatility forecasts in equity markets," Finance Research Letters, Elsevier, vol. 23(C), pages 39-49.
    218. Huang, Chuangxia & Zhao, Xian & Deng, Yunke & Yang, Xiaoguang & Yang, Xin, 2022. "Evaluating influential nodes for the Chinese energy stocks based on jump volatility spillover network," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 81-94.
    219. Sun, Bianxia & Gao, Yang, 2020. "Market liquidity and macro announcement around intraday jumps: Evidence from Chinese stock index futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    220. G.M. Gallo & O. Okhrin & G. Storti, 2024. "Dynamic tail risk forecasting: what do realized skewness and kurtosis add?," Working Paper CRENoS 202416, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    221. Hassan Zada & Arshad Hassan & Wing-Keung Wong, 2021. "Do Jumps Matter in Both Equity Market Returns and Integrated Volatility: A Comparison of Asian Developed and Emerging Markets," Economies, MDPI, vol. 9(2), pages 1-26, June.
    222. Theoplasti Kolaiti & Mwasi Mboya & Philipp Sibbertsen, 2020. "Volatility Transmission across Financial Markets: A Semiparametric Analysis," JRFM, MDPI, vol. 13(8), pages 1-13, July.
    223. Boudt, Kris & Cornelissen, Jonathan & Croux, Christophe, 2012. "Jump robust daily covariance estimation by disentangling variance and correlation components," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 2993-3005.
    224. Zema, Sebastiano Michele, 2022. "Directed acyclic graph based information shares for price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    225. Zhang, Chuanhai & Liu, Zhi & Liu, Qiang, 2021. "Jumps at ultra-high frequency: Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    226. Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2021. "A note on oil price shocks and the forecastability of gold realized volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 28(21), pages 1889-1897, December.
    227. Hoang‐Long Phan & Ralf Zurbruegg, 2020. "The time‐to‐maturity pattern of futures price sensitivity to news," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 126-144, January.
    228. Dumitru, Ana-Maria & Hizmeri, Rodrigo & Izzeldin, Marwan, 2019. "Forecasting the Realized Variance in the Presence of Intraday Periodicity," EconStor Preprints 193631, ZBW - Leibniz Information Centre for Economics.
    229. Panagiotis Delis & Stavros Degiannakis & George Filis, 2022. "What matters when developing oil price volatility forecasting frameworks?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 361-382, March.
    230. Huang, Dashan & Li, Jiangyuan & Wang, Liyao, 2021. "Are disagreements agreeable? Evidence from information aggregation," Journal of Financial Economics, Elsevier, vol. 141(1), pages 83-101.
    231. Josip Arneriæ & Mario Matkoviæ, 2019. "Challenges of integrated variance estimation in emerging stock markets," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(2), pages 713-739.
    232. Degiannakis, Stavros & Filis, George, 2022. "Oil price volatility forecasts: What do investors need to know?," Journal of International Money and Finance, Elsevier, vol. 123(C).
    233. Wang, Weichen & An, Ran & Zhu, Ziwei, 2024. "Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective," Journal of Econometrics, Elsevier, vol. 239(2).
    234. B. Cooper Boniece & Jos'e E. Figueroa-L'opez & Yuchen Han, 2023. "Data-driven fixed-point tuning for truncated realized variations," Papers 2311.00905, arXiv.org, revised Oct 2024.
    235. Lyócsa, Štefan & Todorova, Neda, 2024. "Forecasting of clean energy market volatility: The role of oil and the technology sector," Energy Economics, Elsevier, vol. 132(C).
    236. Lyócsa, Štefan & Molnár, Peter & Výrost, Tomáš, 2021. "Stock market volatility forecasting: Do we need high-frequency data?," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1092-1110.
    237. Didit Budi Nugroho & Takayuki Morimoto, 2019. "Incorporating Realized Quarticity into a Realized Stochastic Volatility Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(4), pages 495-528, December.
    238. Liu, Min & Lee, Chien-Chiang, 2021. "Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting," Energy Economics, Elsevier, vol. 103(C).
    239. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    240. Konstantinos Gkillas & Dimitrios Vortelinos & Christos Floros & Athanasios Tsagkanos, 2019. "Economic News Releases and Financial Markets in South Africa," Economies, MDPI, vol. 7(4), pages 1-13, November.
    241. Bouri, Elie & Harb, Etienne, 2022. "The size of good and bad volatility shocks does matter for spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    242. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".
    243. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2021. "The realized volatility of commodity futures: Interconnectedness and determinants#," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 139-151.
    244. Yingjie Dong & Yiu-Kuen Tse, 2017. "Business Time Sampling Scheme with Applications to Testing Semi-Martingale Hypothesis and Estimating Integrated Volatility," Econometrics, MDPI, vol. 5(4), pages 1-19, November.
    245. Naimoli, Antonio & Gerlach, Richard & Storti, Giuseppe, 2022. "Improving the accuracy of tail risk forecasting models by combining several realized volatility estimators," Economic Modelling, Elsevier, vol. 107(C).
    246. Worapree Maneesoonthorn & Gael M. Martin & Catherine S. Forbes, 2017. "Dynamic asset price jumps and the performance of high frequency tests and measures," Monash Econometrics and Business Statistics Working Papers 14/17, Monash University, Department of Econometrics and Business Statistics.
    247. Mykland, Per A. & Zhang, Lan, 2016. "Between data cleaning and inference: Pre-averaging and robust estimators of the efficient price," Journal of Econometrics, Elsevier, vol. 194(2), pages 242-262.
    248. Niu, Zibo & Liu, Yuanyuan & Gao, Wang & Zhang, Hongwei, 2021. "The role of coronavirus news in the volatility forecasting of crude oil futures markets: Evidence from China," Resources Policy, Elsevier, vol. 73(C).
    249. Camponovo, Lorenzo & Matsushita, Yukitoshi & Otsu, Taisuke, 2019. "Empirical likelihood for high frequency data," LSE Research Online Documents on Economics 100320, London School of Economics and Political Science, LSE Library.
    250. Vasile George MARICA & Lucian Claudiu ANGHEL, 2015. "Sovereign Default Analysis through Extreme Events Identification," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(2), pages 339-353, June.
    251. Audrino, Francesco & Sigrist, Fabio & Ballinari, Daniele, 2020. "The impact of sentiment and attention measures on stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 334-357.
    252. Phan, Hoàng-Long & Zurbruegg, Ralf & Brockman, Paul & Yu, Chia-Feng (Jeffrey), 2022. "Time-to-maturity and commodity futures return volatility: The role of time-varying asymmetric information," Journal of Commodity Markets, Elsevier, vol. 26(C).
    253. Kam F. Chan & Philip Gray, 2018. "Volatility jumps and macroeconomic news announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(8), pages 881-897, August.
    254. George Filis & Stavros Degiannakis & Zacharias Bragoudakis, 2022. "Forecasting macroeconomic indicators for Eurozone and Greece: How useful are the oil price assumptions?," Working Papers 296, Bank of Greece.
    255. Konstantinos Gkillas & Christoforos Konstantatos & Costas Siriopoulos, 2021. "Uncertainty Due to Infectious Diseases and Stock–Bond Correlation," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
    256. Gao, Jun & Gao, Xiang & Gu, Chen, 2023. "Forecasting European stock volatility: The role of the UK," International Review of Financial Analysis, Elsevier, vol. 89(C).
    257. Sebastiano Michele Zema, 2020. "Directed Acyclic Graph based Information Shares for Price Discovery," LEM Papers Series 2020/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    258. Qianli Zhao & Chao Wang & Richard Gerlach & Giuseppe Storti & Lingxiang Zhang, 2024. "Autoencoder Enhanced Realised GARCH on Volatility Forecasting," Papers 2411.17136, arXiv.org.
    259. Jos'e E. Figueroa-L'opez & Cecilia Mancini, 2017. "Optimum thresholding using mean and conditional mean square error," Papers 1708.04339, arXiv.org.
    260. Plíhal, Tomáš & Lyócsa, Štefan, 2021. "Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 811-829.
    261. Sirio Aramonte & Mohammad Jahan-Parvar & Samuel Rosen & John W. Schindler, 2017. "Firm-Specific Risk-Neutral Distributions : The Role of CDS Spreads," International Finance Discussion Papers 1212, Board of Governors of the Federal Reserve System (U.S.).

  9. Torben G. Andersen & Dobrislav Dobrev & Ernst Schaumburg, 2009. "Duration-Based Volatility Estimation," Global COE Hi-Stat Discussion Paper Series gd08-034, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Bibinger, Markus & Hautsch, Nikolaus & Malec, Peter & Reiss, Markus, 2014. "Estimating the spot covariation of asset prices: Statistical theory and empirical evidence," SFB 649 Discussion Papers 2014-055, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Zikes, Filip & Barunik, Jozef & Shenai, Nikhil, 2015. "Modeling and forecasting persistent financial durations," FinMaP-Working Papers 36, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    3. Andersen, Torben G. & Dobrev, Dobrislav & Schaumburg, Ernst, 2012. "Jump-robust volatility estimation using nearest neighbor truncation," Journal of Econometrics, Elsevier, vol. 169(1), pages 75-93.
    4. Zu, Yang & Peter Boswijk, H., 2014. "Estimating spot volatility with high-frequency financial data," Journal of Econometrics, Elsevier, vol. 181(2), pages 117-135.
    5. Peter Reinhard Hansen & Guillaume Horel, 2009. "Quadratic Variation by Markov Chains," CREATES Research Papers 2009-13, Department of Economics and Business Economics, Aarhus University.
    6. Wu, Xinyu & Zhao, An & Wang, Yuyao & Han, Yang, 2024. "Forecasting Chinese stock market volatility with high-frequency intraday and current return information," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).

  10. Ravi Jagannathan & Mudit Kapoor & Ernst Schaumburg, 2009. "Causes of the Great Recession of 2007-9: The Financial Crisis is the Symptom not the Disease!," NBER Working Papers 15404, National Bureau of Economic Research, Inc.

    Cited by:

    1. Christophe André, 2010. "A Bird's Eye View of OECD Housing Markets," OECD Economics Department Working Papers 746, OECD Publishing.
    2. Fabio C. Bagliano & Claudio Morana, 2010. "The Great Recession: US dynamics and spillovers to the world economy," Working papers 17, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    3. Francesco Sarracino & Małgorzata Mikucka, 2019. "Consume More, Work Longer, and Be Unhappy: Possible Social Roots of Economic Crisis?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 14(1), pages 59-84, March.
    4. Fligstein, Neil & Goldstein, Adam, 2012. "The Transformation of Mortgage Finance and the Industrial Roots of the Mortgage Meltdown," Institute for Research on Labor and Employment, Working Paper Series qt2zx8r7fb, Institute of Industrial Relations, UC Berkeley.
    5. Acharya, Viral & Naqvi, Hassan, 2012. "The seeds of a crisis: A theory of bank liquidity and risk taking over the business cycle," Journal of Financial Economics, Elsevier, vol. 106(2), pages 349-366.
    6. Amato, Amedeo & Consigliere, Isabella, 2010. "Globalisation and Development in the Encyclical Caritas in Veritate - Globalizzazione e sviluppo nell’enciclica Caritas in Veritate," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 63(2), pages 143-167.
    7. Ross Levine, 2010. "An Autopsy of the U.S. Financial System," NBER Working Papers 15956, National Bureau of Economic Research, Inc.

  11. Giorgio E. Primiceri & Ernst Schaumburg & Andrea Tambalotti, 2006. "Intertemporal Disturbances," NBER Working Papers 12243, National Bureau of Economic Research, Inc.

    Cited by:

    1. Pablo Burriel & Jesús Fernández-Villaverde & Juan Rubio-Ramírez, 2010. "MEDEA: a DSGE model for the Spanish economy," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 175-243, March.
    2. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2008. "Investment shocks and business cycles," Working Paper Series WP-08-12, Federal Reserve Bank of Chicago.
    3. Del Negro, Marco & Schorfheide, Frank, 2005. "Monetary policy analysis with potentially misspecified models," Working Paper Series 475, European Central Bank.
    4. Guido Lorenzoni, 2006. "A Theory of Demand Shocks," NBER Working Papers 12477, National Bureau of Economic Research, Inc.
    5. Alejandro Justiniano & Bruce Preston, 2006. "Can Structural Small Open Economy Models Account for the Influence of Foreign Disturbances?," 2006 Meeting Papers 479, Society for Economic Dynamics.
    6. Óscar Arce & Galo Nuño & Dominik Thaler & Carlos Thomas, 2018. "A large central bank balance sheet? floor vs corridor systems in a new keynesian environment," Working Papers 1851, Banco de España.
    7. Francesco Nucci & Marianna Riggi, 2015. "Labour force participation, wage rigidities, and inflation," DSS Empirical Economics and Econometrics Working Papers Series 2015/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    8. Diego A. Comin & Mark Gertler & Ana Maria Santacreu, 2009. "Technology Innovation and Diffusion as Sources of Output and Asset Price Fluctuations," NBER Working Papers 15029, National Bureau of Economic Research, Inc.
    9. Alejandro Justiniano & Claudio Michelacci, 2012. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies in the United States and Europe," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 8(1), pages 169-235.
    10. Mr. Ruy Lama & Mr. Pau Rabanal, 2012. "Deciding to Enter a Monetary Union: TheRole of Trade and Financial Linkages," IMF Working Papers 2012/240, International Monetary Fund.
    11. Craighead, William, 2016. "Hysteresis in a New Keynesian Model," MPRA Paper 70777, University Library of Munich, Germany.
    12. Andre Kurmann & Julien Champagne, 2010. "The Great Increase in Relative Volatility of Real Wages in the United States," 2010 Meeting Papers 674, Society for Economic Dynamics.
    13. Jordi Galí & Mark Gertler, 2007. "Macroeconomic modeling for monetary policy evaluation," Economics Working Papers 1039, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2007.
    14. Mark Gertler & Luca Sala & Antonella Trigari, 2008. "An Estimated Monetary DSGE Model with Unemployment and Staggered Nominal Wage Bargaining," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1713-1764, December.
    15. Tutino, Antonella, 2011. "Rationally inattentive macroeconomic wedges," Journal of Economic Dynamics and Control, Elsevier, vol. 35(3), pages 344-362, March.
    16. Moran, Patrick & Queralto, Albert, 2018. "Innovation, productivity, and monetary policy," Journal of Monetary Economics, Elsevier, vol. 93(C), pages 24-41.
    17. Benjamin Keen, 2009. "Output, Inflation, and Interest Rates in an Estimated Optimizing Model of Monetary Policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 327-343, April.
    18. Nicolas Groshenny, 2013. "Monetary Policy, Inflation And Unemployment: In Defense Of The Federal Reserve," Post-Print hal-04204720, HAL.
    19. Andrea Tambalotti & Andrea Ferrero & Vasco Curdia, 2010. "Evaluating Interest Rate Rules in an Estimated DSGE Model," 2010 Meeting Papers 402, Society for Economic Dynamics.
    20. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
    21. Foerster, Andrew T., 2015. "Financial crises, unconventional monetary policy exit strategies, and agents׳ expectations," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 191-207.
    22. Rabanal, Pau & Tuesta, Vicente, 2010. "Euro-dollar real exchange rate dynamics in an estimated two-country model: An assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 780-797, April.
    23. Lee, Hangyu & Kim, Tae Bong, 2023. "The effectiveness of labor market indicators for conducting monetary policy: Evidence from the Korean economy," Economic Modelling, Elsevier, vol. 118(C).
    24. Costa Junior, Celso José & Sampaio, Armando Vaz, 2014. "Tax Reduction Policies of the Productive Sector and Its Impacts on Brazilian Economy," Dynare Working Papers 36, CEPREMAP.
    25. Pauline Gandré, 2020. "Learning, house prices and macro-financial linkages," Working Papers hal-04159701, HAL.
    26. Gregory Erin Givens, 2008. "Unemployment Insurance in a Sticky-Price Model with Worker Moral Hazard," Working Papers 200807, Middle Tennessee State University, Department of Economics and Finance.
    27. Simon Gilchrist & Vladimir Yankov & Egon Zakrajsek, 2009. "Credit Market Shocks and Economic Fluctuations: Evidence from Corporate Bond and Stock Markets," NBER Working Papers 14863, National Bureau of Economic Research, Inc.
    28. Mateusz Machaj, 2016. "Can the Taylor Rule be a Good Guidance for Policy? The Case of 2001-2008 Real Estate Bubble," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(4), pages 381-395.
    29. He, Zhaochen, 2019. "Fear itself: How risk sensitive firms can give demand shocks bite," Economic Modelling, Elsevier, vol. 82(C), pages 437-452.
    30. Lakuma, Corti Paul & Mawejje, Joseph & Lwanga, Musa Mayanja & Munyambonera, Ezra, 2018. "The distributional impacts of fiscal consolidation in Uganda," Research Series 275660, Economic Policy Research Centre (EPRC).
    31. Urban Jermann & Lukas Schmid & Joao Gomes, 2014. "Sticky Leverage," 2014 Meeting Papers 40, Society for Economic Dynamics.
    32. Alejandro Justiniano & Claudio Michelacci, 2011. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies in the US and Europe," NBER Working Papers 17429, National Bureau of Economic Research, Inc.
    33. Dia, Enzo & Jiang, Lunan & Menna, Lorenzo & Zhang, Lin, 2023. "Interest margins, lending rates and bank productivity among Chinese provinces," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 104-127.
    34. Christopher M. Gunn, 2013. "Animal Spirits as an Engine of Boom-Busts and Throttle of Productivity Growth," Carleton Economic Papers 13-04, Carleton University, Department of Economics, revised 10 Apr 2015.
    35. Caraiani, Petre & Luik, Marc-André & Wesselbaum, Dennis, 2020. "Credit policy and asset price bubbles," Journal of Macroeconomics, Elsevier, vol. 65(C).
    36. Martin Møller Andreasen, 2008. "Explaining Macroeconomic and Term Structure Dynamics Jointly in a Non-linear DSGE Model," CREATES Research Papers 2008-43, Department of Economics and Business Economics, Aarhus University.
    37. Ruy Lama, 2011. "Accounting for Output Drops in Latin America," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(2), pages 295-316, April.
    38. Edoardo Palombo, 2020. "Unconventional Monetary Policy, Leverage & Default Dynamics," Working Papers 910, Queen Mary University of London, School of Economics and Finance.
    39. Champagne, Julien & Kurmann, André, 2013. "The great increase in relative wage volatility in the United States," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 166-183.

  12. Henry Kim & Jinill Kim & Ernst Schaumburg & Christopher A. Sims, 2005. "Calculating and Using Second Order Accurate Solutions of Discrete Time Dynamic Equilibrium Models," Discussion Papers Series, Department of Economics, Tufts University 0505, Department of Economics, Tufts University.

    Cited by:

    1. Juillard Michel, 2011. "Local approximation of DSGE models around the risky steady state," wp.comunite 0087, Department of Communication, University of Teramo.
    2. Gianluca Benigno & Pierpaolo Benigno & Salvatore Nistico, 2011. "Second-Order Approximation of Dynamic Models with Time-Varying Risk," FMG Discussion Papers dp677, Financial Markets Group.
    3. Aysun, Uluc, 2008. "Automatic stabilizer feature of fixed exchange rate regimes," Emerging Markets Review, Elsevier, vol. 9(4), pages 302-328, December.
    4. Benigno, Pierpaolo & Woodford, Michael, 2012. "Linear-quadratic approximation of optimal policy problems," Journal of Economic Theory, Elsevier, vol. 147(1), pages 1-42.
    5. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    6. Uribe, Martín & Rubio-Ramírez, Juan Francisco & Fernández-Villaverde, Jesús & Guerron-Quintana, Pablo A., 2009. "Risk Matters: The Real Effects of Volatility Shocks," CEPR Discussion Papers 7264, C.E.P.R. Discussion Papers.
    7. Mr. Alan Sutherland & Michael B. Devereux, 2007. "Country Portfolio Dynamics," IMF Working Papers 2007/283, International Monetary Fund.
    8. Stephanie Schmitt-Grohe & Martin Uribe, 2007. "Optimal simple and implementable monetary and fiscal rules," FRB Atlanta Working Paper 2007-24, Federal Reserve Bank of Atlanta.
    9. Laxton, Douglas & Pesenti, Paolo & Juillard, Michel & Karam, Philippe, 2006. "Welfare-based monetary policy rules in an estimated DSGE model of the US economy," Working Paper Series 613, European Central Bank.
    10. Paul Gomme & Paul Klein, 2009. "Second-order approximation of dynamic models without the use of tensors," Working Papers 09004, Concordia University, Department of Economics, revised 28 Apr 2010.
    11. Angelo M. Fasolo, 2011. "The Accuracy of Perturbation Methods to Solve Small Open Economy Models," Working Papers Series 262, Central Bank of Brazil, Research Department.
    12. Luigi MARATTIN & Massimiliano MARZO & Paolo ZAGAGLIA, 2010. "Distortionary Tax Instruments and Implementable Monetary Policy," EcoMod2010 259600110, EcoMod.
    13. KIM, Jinill & RUGE-MURCIA, Francisco J., 2009. "Monetary Policy When Wages Are Downwardly Rigid : Friedman Meets Tobin," Cahiers de recherche 15-2009, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    14. Raf Wouters & Frank Smets, 2004. "Welfare analysis of non-fundamental asset price and investment shocks: Implications for monetary policy," Computing in Economics and Finance 2004 132, Society for Computational Economics.
    15. Cédric Tille & Eric Van Wincoop, 2007. "International capital flows," Staff Reports 280, Federal Reserve Bank of New York.
    16. Richard Dennis, 2009. "Timeless Perspective Policymaking: When is Discretion Superior?," NCER Working Paper Series 38, National Centre for Econometric Research.
    17. Marcela Meirelles Aurelio, 2006. "Targeting inflation and the fiscal balance : what is the optimal policy mix?," Research Working Paper RWP 06-07, Federal Reserve Bank of Kansas City.
    18. Horvath Michal, 2011. "Alternative Perspectives on Optimal Public Debt Adjustment," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-22, November.
    19. Ravenna, Federico & Seppälä, Juha, 2006. "Monetary policy and rejections of the expectations hypothesis," Bank of Finland Research Discussion Papers 25/2006, Bank of Finland.
    20. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    21. Verónica Acurio Vásconez & Gaël Giraud & Florent Mc Isaac & Ngoc-Sang Pham, 2015. "The effects of oil price shocks in a new-Keynesian framework with capital accumulation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01309299, HAL.
    22. Alexei Onatski & Noah Williams, 2010. "Empirical and policy performance of a forward-looking monetary model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 145-176.
    23. Gianni Amisano & Oreste Tristani, 2006. "Euro area inflation persistence in an estimated nonlinear," Computing in Economics and Finance 2006 347, Society for Computational Economics.
    24. Francisco Blasques, 2012. "Transformed Polynomials for Nonlinear Autoregressive Models of the Conditional Mean," Tinbergen Institute Discussion Papers 12-133/III, Tinbergen Institute.
    25. Kim, Jinill & Ruge-Murcia, Francisco J., 2009. "How much inflation is necessary to grease the wheels?," Journal of Monetary Economics, Elsevier, vol. 56(3), pages 365-377, April.
    26. Lombardo, Giovanni & Sutherland, Alan, 2007. "Computing second-order-accurate solutions for rational expectation models using linear solution methods," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 515-530, February.
    27. Monacelli, Tommas & Faia, Ester, 2004. "Ramsey Monetary Policy and International Relative Prices," CEPR Discussion Papers 4386, C.E.P.R. Discussion Papers.
    28. Francisco J. Ruge-Murcia, 2010. "Estimating Nonlinear DSGE Models by the Simulated Method of Moments," Working Paper series 49_10, Rimini Centre for Economic Analysis.
    29. L. Marattin & S. Salotti, 2009. "The Response of Private Consumption to Different Public Spending Categories: VAR Evidence from UK," Working Papers 670, Dipartimento Scienze Economiche, Universita' di Bologna.
    30. Rabitsch, Katrin & Stepanchuk, Serhiy & Tsyrennikov, Viktor, 2015. "International portfolios: A comparison of solution methods," Journal of International Economics, Elsevier, vol. 97(2), pages 404-422.
    31. Robert Kollmann, 2013. "Tractable latent state filtering for non-linear DSGE models using a second-order approximation," Globalization Institute Working Papers 147, Federal Reserve Bank of Dallas.
    32. Jian Wang, 2007. "Home bias, exchange rate disconnect, and optimal exchange rate policy," Working Papers 0701, Federal Reserve Bank of Dallas.
    33. Barbara Annicchiarico & Luisa Corrado & Alessandra Pelloni, 2011. "Long‐Term Growth And Short‐Term Volatility: The Labour Market Nexus," Manchester School, University of Manchester, vol. 79(s1), pages 646-672, June.
    34. José Antonio Rodríguez-López, 2011. "Prices and Exchange Rates: A Theory of Disconnect," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(3), pages 1135-1177.
    35. Michael Woodford & Pierpaolo Benigno, 2004. "Inflation Stabilization and Welfare: The Case of a Distorted Steady State," 2004 Meeting Papers 481, Society for Economic Dynamics.
    36. Henry Kim & Jinill Kim & Robert Kollmann, 2005. "Applying Perturbation Methods to Incomplete Market Models with Exogenous Borrowing Constraints," Discussion Papers Series, Department of Economics, Tufts University 0504, Department of Economics, Tufts University.
    37. Tovar, Camilo Ernesto, 2008. "DSGE Models and Central Banks," Economics Discussion Papers 2008-30, Kiel Institute for the World Economy (IfW Kiel).
    38. M. Marzo & I. Strid & P. Zagaglia, 2006. "Optimal Opportunistic Monetary Policy in A New-Keynesian Model," Working Papers 573, Dipartimento Scienze Economiche, Universita' di Bologna.
    39. Verónica Acurio Vasconez & Gaël Giraud & Florent Mc Isaac & Ngoc Sang Pham, 2012. "Energy and Capital in a New-Keynesian Framework," Post-Print halshs-00827666, HAL.
    40. Tristani, Oreste & Amisano, Gianni, 2007. "Euro area inflation persistence in an estimated nonlinear DSGE model," Working Paper Series 754, European Central Bank.
    41. Oscar Jorda, 2004. "Model-Free Impulse Responses," Macroeconomics 0403016, University Library of Munich, Germany.
    42. Tommaso Monacelli & Ester Faia, 2005. "Optimal Interest Rate Rules, Asset Prices and Credit Frictions," Computing in Economics and Finance 2005 452, Society for Computational Economics.
    43. Stephanie Schmitt-Grohe & Martin Uribe, 2004. "Optimal Operational Monetary Policy in the Christiano-Eichenbaum-Evans Model of the U.S. Business Cycle," NBER Working Papers 10724, National Bureau of Economic Research, Inc.
    44. Antonella Tutino, 2008. "The rigidity of choice: Lifecycle savings with information-processing limits," Finance and Economics Discussion Series 2008-62, Board of Governors of the Federal Reserve System (U.S.).
    45. Sunghyun H. Kim & Jinill Kim, 2004. "Welfare Effects of Tax Policy in Open Economies: Stabilization and Cooperation," Econometric Society 2004 Far Eastern Meetings 399, Econometric Society.
    46. Francisco Ruge-Murcia, 2012. "Skewness Risk and Bond Prices," Cahiers de recherche 17-2012, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    47. Martin M Andreasen & Jesús Fernández-Villaverde & Juan F Rubio-Ramírez, 2018. "The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 1-49.
    48. Ahmad, Yamin & Lo, Ming Chien & Mykhaylova, Olena, 2013. "Causes of nonlinearities in low-order models of the real exchange rate," Journal of International Economics, Elsevier, vol. 91(1), pages 128-141.
    49. Schorfheide, Frank & An, Sungbae, 2005. "Bayesian Analysis of DSGE Models," CEPR Discussion Papers 5207, C.E.P.R. Discussion Papers.
    50. Darlene C. Chisholm & Margaret S. McMillan & George Norman, 2006. "Product Differentiation and Film Programming Choice: Do First-Run Movie Theatres Show the Same Films?," NBER Working Papers 12646, National Bureau of Economic Research, Inc.
    51. Niels Arne Dam & Jesper Gregers Linaa, 2005. "Assessing the Welfare Cost of a Fixed Exchange-Rate Policy," EPRU Working Paper Series 05-04, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    52. Tristani, Oreste & Vestin, David & Hördahl, Peter, 2004. "A joint econometric model of macroeconomic and term structure dynamics," Working Paper Series 405, European Central Bank.
    53. Andrew T. Levin & Alexei Onatski & John C. Williams & Noah Williams, 2005. "Monetary Policy Under Uncertainty in Micro-Founded Macroeconometric Models," NBER Working Papers 11523, National Bureau of Economic Research, Inc.
    54. Federico Ravenna & Fabio M. Natalucci, 2008. "Monetary Policy Choices in Emerging Market Economies: The Case of High Productivity Growth," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2-3), pages 243-271, March.
    55. Paul R. Bergin & Hyung-Cheol Shin & Ivan Tchakarov, 2017. "Does Exchange Rate Variability Matter for Welfare? A Quantitative Investigation of Stabilization Policies," World Scientific Book Chapters, in: International Macroeconomic Interdependence, chapter 13, pages 363-386, World Scientific Publishing Co. Pte. Ltd..
    56. Yannis M. Ioannides & Adriaan R. Soetevent, 2005. "Social Networking and Individual Outcomes Beyond the Mean Field Case," Discussion Papers Series, Department of Economics, Tufts University 0521, Department of Economics, Tufts University.
    57. Gilbert E. Metcalf & Jongsang Park, 2006. "A Comment on The Role of Prices for Excludable Public Goods," NBER Working Papers 12535, National Bureau of Economic Research, Inc.
    58. Fernandez-Villaverde, Jesus & Rubio-Ramirez, Juan F., 2006. "Solving DSGE models with perturbation methods and a change of variables," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2509-2531, December.
    59. Paustian, Matthias, 2003. "Gains from second-order approximations," Bonn Econ Discussion Papers 25/2003, University of Bonn, Bonn Graduate School of Economics (BGSE).
    60. Nooman Rebei & Steven Ambler & Ali Dib, 2004. "Optimal Taylor Rules in an Estimated Model of a Small Open Economy," Econometric Society 2004 North American Summer Meetings 627, Econometric Society.
    61. Antoni Calvo-Armengol & Yannis M. Ioannides, 2005. "Social Networks in Labor Markets," Discussion Papers Series, Department of Economics, Tufts University 0517, Department of Economics, Tufts University.
    62. Schmidt, Sebastian & Wieland, Volker, 2013. "The New Keynesian Approach to Dynamic General Equilibrium Modeling: Models, Methods and Macroeconomic Policy Evaluation," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1439-1512, Elsevier.
    63. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2003. "Some results on the solution of the neoclassical growth model," FRB Atlanta Working Paper 2003-34, Federal Reserve Bank of Atlanta.
    64. Mr. Mauro F Roca, 2009. "Search in the Labor Market under Imperfectly Insurable Income Risk," IMF Working Papers 2009/188, International Monetary Fund.
    65. Feigenbaum, James, 2005. "Second-, third-, and higher-order consumption functions: a precautionary tale," Journal of Economic Dynamics and Control, Elsevier, vol. 29(8), pages 1385-1425, August.
    66. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2004. "Estimating dynamic equilibrium economies: linear versus nonlinear likelihood," FRB Atlanta Working Paper 2004-3, Federal Reserve Bank of Atlanta.
    67. Ester Faia & Tommaso Monacelli, 2005. "Optimal Monetary Policy Rules, Asset Prices and Credit Frictions," Working Papers 279, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    68. Teo, Wing Leong, 2009. "Should East Asia's currencies be pegged to the yen? The role of invoice currency," Journal of the Japanese and International Economies, Elsevier, vol. 23(3), pages 283-308, September.
    69. Massimiliano Marzo, 2006. "Optimal Monetary Policy with Price and Wage Rigidities," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 35(1), pages 63-95, February.
    70. Kim, Sunghyun Henry & Kollmann, Robert & Kim, Jinill, 2010. "Solving the incomplete market model with aggregate uncertainty using a perturbation method," Journal of Economic Dynamics and Control, Elsevier, vol. 34(1), pages 50-58, January.
    71. Barbara Annicchiarico & Luisa Corrado & Alessandra Pelloni, 2008. "Volatility, Growth and Labour Elasticity," Working Paper series 32_08, Rimini Centre for Economic Analysis.
    72. Alali, Walid Y., 2009. "Solution Strategies of Dynamic Stochastic General Equilibrium (DSGE) models," EconStor Preprints 269876, ZBW - Leibniz Information Centre for Economics.
    73. Pierpaolo Benigno & Michael Woodford, 2005. "Optimal Taxation in an RBC Model: A Linear-Quadratic Approach," NBER Working Papers 11029, National Bureau of Economic Research, Inc.
    74. Deming Luo & Stephen Ferris, 2008. "Optimal Simple Monetary Policy Rules in a Small Open Economy with Exchange Rate Imperfections," Carleton Economic Papers 08-03, Carleton University, Department of Economics.
    75. John Keating & Andrew Lee Smith, 2013. "Price Versus Financial Stability: A role for money in Taylor rules?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201307, University of Kansas, Department of Economics.
    76. Josef Hollmayr & Christian Matthes, 2015. "Tales of Transition Paths: Policy Uncertainty and Random Walks," Working Paper 15-11, Federal Reserve Bank of Richmond.
    77. Martin Møller Andreasen, 2008. "Explaining Macroeconomic and Term Structure Dynamics Jointly in a Non-linear DSGE Model," CREATES Research Papers 2008-43, Department of Economics and Business Economics, Aarhus University.
    78. Marzo, Massimiliano & Strid, Ingvar & Zagaglia, Paolo, 2009. "Nonlinearity in monetary policy: A reconsideration of the opportunistic approach to disinflation," Structural Change and Economic Dynamics, Elsevier, vol. 20(4), pages 288-300, December.
    79. Alali, Walid Y., 2009. "Solution Strategies of Dynamic Stochastic General Equilibrium (DSGE) models," MPRA Paper 116480, University Library of Munich, Germany.
    80. Bruce Preston & Mauro Roca, 2007. "Incomplete Markets, Heterogeneity and Macroeconomic Dynamics," NBER Working Papers 13260, National Bureau of Economic Research, Inc.
    81. Tutino, Antonella, 2008. "The rigidity of choice: lifetime savings under information-processing constraints," MPRA Paper 16744, University Library of Munich, Germany, revised 24 Jul 2009.
    82. Elekdag, Selim & Tchakarov, Ivan, 2007. "Balance sheets, exchange rate policy, and welfare," Journal of Economic Dynamics and Control, Elsevier, vol. 31(12), pages 3986-4015, December.
    83. Marzo, Massimiliano, 2009. "Wage or price-based inflation? Alternative targets in optimal monetary policy rules," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1296-1313, June.
    84. Martin Møller Andreasen, 2008. "Non-linear DSGE Models, The Central Difference Kalman Filter, and The Mean Shifted Particle Filter," CREATES Research Papers 2008-33, Department of Economics and Business Economics, Aarhus University.
    85. Gabriela Cugat, 2019. "Emerging markets, household heterogeneity, and exchange rate policy," 2019 Meeting Papers 526, Society for Economic Dynamics.
    86. Taeyoung Doh, 2009. "Yield curve in an estimated nonlinear macro model," Research Working Paper RWP 09-04, Federal Reserve Bank of Kansas City.
    87. Martin M. Andreasen, 2010. "Non-linear DSGE Models and The Optimized Particle Filter," CREATES Research Papers 2010-05, Department of Economics and Business Economics, Aarhus University.
    88. Lan, Hong & Meyer-Gohde, Alexander, 2011. "Solving DSGE models with a nonlinear moving average," SFB 649 Discussion Papers 2011-087, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    89. Gregory Erin Givens, 2006. "Revisiting the Delegation Problem in a Sticky Price and Wage Economy," Working Papers 200601, Middle Tennessee State University, Department of Economics and Finance.
    90. Amisano, Gianni & Tristani, Oreste, 2011. "Exact likelihood computation for nonlinear DSGE models with heteroskedastic innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2167-2185.
    91. Stephanie Schmitt-Grohé & Martín Uribe, 2004. "The Research Agenda: Stephanie Schmitt-Grohé and Martín Uribe on Policy Evaluation in Macroeconomics," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 6(1), November.
    92. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2010. "A Cluster-Grid Projection Method: Solving Problems with High Dimensionality," NBER Working Papers 15965, National Bureau of Economic Research, Inc.
    93. Darlene C. Chisholm & George Norman, 2006. "When to Exit a Product: Evidence from the U. S. Motion-Picture Exhibition Market," American Economic Review, American Economic Association, vol. 96(2), pages 57-61, May.
    94. M. Marzo, 2004. "Optimal Monetary Policy in a Simple Distorted Economy," Working Papers 511, Dipartimento Scienze Economiche, Universita' di Bologna.

  13. Andrea Tambalotti & Ernst Schaumburg, 2004. "An Investigation of the Gains from Commitment in Monetary Policy," Econometric Society 2004 North American Summer Meetings 282, Econometric Society.

    Cited by:

    1. Dreher, Axel & Moser, Christoph, 2008. "Do Markets Care About Central Bank Governor Changes? Evidence from Emerging Markets," Proceedings of the German Development Economics Conference, Zurich 2008 29, Verein für Socialpolitik, Research Committee Development Economics.
    2. Groll, Dominik & Monacelli, Tommaso, 2020. "The inherent benefit of monetary unions," Journal of Monetary Economics, Elsevier, vol. 111(C), pages 63-79.
    3. Dennis, Richard, 2010. "When is discretion superior to timeless perspective policymaking?," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 266-277, April.
    4. Castelnuovo, Efrem, 2010. "Tracking U.S. inflation expectations with domestic and global indicators," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1340-1356, November.
    5. Gersbach, Hans & Liu, Yulin & Tischhauser, Martin, 2018. "Versatile Forward Guidance: Escaping or Switching?," CEPR Discussion Papers 12559, C.E.P.R. Discussion Papers.
    6. Chatelain, Jean-Bernard & Ralf, Kirsten, 2017. "Can we Identify the Fed's Preferences?," MPRA Paper 76831, University Library of Munich, Germany.
    7. Jean-Bernard Chatelain & Kirsten Ralf, 2021. "Imperfect Credibility versus No Credibility of Optimal Monetary Policy," Post-Print halshs-03029892, HAL.
    8. Jeffrey R. Campbell & Jacob P. Weber, 2018. "Discretion Rather than Rules: Equilibrium Uniqueness and Forward Guidance with Inconsistent Optimal Plans," Working Paper Series WP-2018-14, Federal Reserve Bank of Chicago.
    9. Hahn, Volker, 2014. "An argument in favor of long terms for central bankers," Economics Letters, Elsevier, vol. 122(2), pages 132-135.
    10. Lakdawala, Aeimit & Wu, Shu, 2017. "Federal Reserve Credibility and the Term Structure of Interest Rates," MPRA Paper 78253, University Library of Munich, Germany.
    11. Debortoli, Davide & Nunes, Ricardo, 2010. "Fiscal policy under loose commitment," Journal of Economic Theory, Elsevier, vol. 145(3), pages 1005-1032, May.
    12. Haberis, Alex & Harrison, Richard & Waldron, Matt, 2014. "Transitory interest-rate pegs under imperfect credibility," LSE Research Online Documents on Economics 86335, London School of Economics and Political Science, LSE Library.
    13. Kenneth N. Kuttner & Adam S. Posen, 2007. "Do Markets Care Who Chairs the Central Bank?," Working Paper Series WP07-3, Peterson Institute for International Economics.
    14. Eric T. Swanson & John C. Williams, 2012. "Measuring the effect of the zero lower bound on medium- and longer-term interest rates," Working Paper Series 2012-02, Federal Reserve Bank of San Francisco.
    15. Yang Lu & Ernesto Pasten & Robert King, 2013. "Policy design with private sector skepticism in the textbook New Keynesian model," 2013 Meeting Papers 241, Society for Economic Dynamics.
    16. Alfred Duncan & Charles Nola, 2017. "Disputes , Debt And Equity," Working Papers 2017_08, Business School - Economics, University of Glasgow.
    17. Richard Dennis, 2009. "Timeless Perspective Policymaking: When is Discretion Superior?," NCER Working Paper Series 38, National Centre for Econometric Research.
    18. Chatelain, Jean-Bernard & Ralf, Kirsten, 2020. "Ramsey Optimal Policy versus Multiple Equilibria with Fiscal and Monetary Interactions," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 40(1), pages 140-147.
    19. Lu, Yang K. & King, Robert G. & Pasten, Ernesto, 2016. "Optimal reputation building in the New Keynesian model," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 233-249.
    20. Campbell Leith & Simon Wren-Lewis, 2006. "Fiscal Sustainability in a New Keynesian Model," Working Papers 2006_11, Business School - Economics, University of Glasgow, revised Nov 2008.
    21. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2014. "An Empirical Assessment of Optimal Monetary Policy Delegation in the Euro Area," Stirling Economics Discussion Papers 2014-11, University of Stirling, Division of Economics.
    22. Michelis, Andrea De & Iacoviello, Matteo, 2016. "Raising an inflation target: The Japanese experience with Abenomics," European Economic Review, Elsevier, vol. 88(C), pages 67-87.
    23. Ali, Syed Zahid & Anwar, Sajid, 2013. "Inflation and interest rates in the presence of a cost channel, wealth effect and agent heterogeneity," Economic Modelling, Elsevier, vol. 31(C), pages 286-296.
    24. Bai, Yuting & Kirsanova, Tatiana, 2013. "Infrequent Fiscal Stabilization," SIRE Discussion Papers 2013-17, Scottish Institute for Research in Economics (SIRE).
    25. Davide Debortoli & Junior Maih & Ricardo Nunes, 2010. "Loose commitment in medium-scale macroeconomic models: Theory and an application," Working Paper 2010/25, Norges Bank.
    26. Jean-Bernard Chatelain & Kirsten Ralf, 2020. "Policy Maker's Credibility with Predetermined Instruments for Forward-Looking Targets," Papers 2012.02806, arXiv.org.
    27. Ernst Schaumburg & Andrea Tambalotti, 2003. "An investigation of the gains from commitment in monetary policy," Staff Reports 171, Federal Reserve Bank of New York.
    28. Chatelain, Jean-Bernard & Ralf, Kirsten, 2021. "Hopf Bifurcation From New-Keynesian Taylor Rule To Ramsey Optimal Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 25(8), pages 2204-2236, December.
    29. Giorgio Di Giorgio & Guido Traficante, 2011. "The loss from uncertainty on policy targets," Working Papers CASMEF 1104, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    30. Chatelain, Jean-Bernard & Ralf, Kirsten, 2020. "Ramsey Optimal Policy in the New-Keynesian Model with Public Debt," MPRA Paper 104536, University Library of Munich, Germany.
    31. Loisel, Olivier, 2008. "Central bank reputation in a forward-looking model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(11), pages 3718-3742, November.
    32. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2013. "How Optimal is US Monetary Policy?," Stirling Economics Discussion Papers 2013-05, University of Stirling, Division of Economics.
    33. Coroneo, Laura & Corradi, Valentina & Santos Monterio, Paulo, 2012. "Testing for optimal monetary policy via moment inequalities," Economic Research Papers 270654, University of Warwick - Department of Economics.
    34. J. Scott Davis & Ippei Fujiwara & Jiao Wang, 2018. "Dealing with Time Inconsistency: Inflation Targeting versus Exchange Rate Targeting," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1369-1399, October.
    35. Hanson Michael S. & Kapinos Pavel S., 2008. "Endogenous Persistence and the Performance of Inertial Targeting Rules," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-31, March.
    36. A. Hakan Kara, 2003. "Optimal Monetary Policy, Commitment, and Imperfect Credibility," Working Papers 0301, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    37. Jean-Bernard Chatelain & Kirsten Ralf, 2018. "The Indeterminacy of Determinacy with Fiscal, Macro-prudential or Taylor Rules," PSE Working Papers halshs-01877766, HAL.
    38. Kwangyong Park, 2023. "Central Bank Credibility and Monetary Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 145-197, June.
    39. Hatcher, Michael, 2022. "Solving linear rational expectations models in the presence of structural change: Some extensions," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    40. Gary S. Anderson & Jinill Kim & Tack Yun, 2010. "Using a projection method to analyze inflation bias in a micro-founded model," Finance and Economics Discussion Series 2010-18, Board of Governors of the Federal Reserve System (U.S.).
    41. Jensen, Christian, 2013. "The gains from short-term commitments," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 14-23.
    42. Richard Dennis, 2013. "Imperfect Credibility and Robust Monetary Policy," Working Papers 2013_14, Business School - Economics, University of Glasgow.
    43. Basso, Henrique S, 2008. "Delegation, Time Inconsistency and Sustainable Equilibrium," Working Paper Series 2008:15, Uppsala University, Department of Economics.
    44. Oleksiy Kryvtsov & Malik Shukayev & Alexander Ueberfeldt, 2008. "Adopting Price-Level Targeting under Imperfect Credibility," Staff Working Papers 08-3, Bank of Canada.
    45. Henry Ergas, 2008. "Should Australia Encourage Developing Countries to Adopt Competition Laws?," Asia Pacific Economic Papers 376, Australia-Japan Research Centre, Crawford School of Public Policy, The Australian National University.
    46. Oleksiy Kryvtsov & Malik Shukayev & Alexander Ueberfeldt, 2008. "Adopting Price-Level Targeting under Imperfect Credibility: An Update," Staff Working Papers 08-37, Bank of Canada.
    47. Oscar To, 2024. "Stochastic credibility and optimal monetary policy," Australian Economic Papers, Wiley Blackwell, vol. 63(S1), pages 124-134, May.
    48. Henry Ergas, 2010. "New policies create a new politics: issues of institutional design in climate change policy," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(2), pages 143-164, April.
    49. Ippei Fujiwara & Scott Davis, 2017. "Dealing with Time-inconsistency: Inflation Targeting vs. Exchange Rate Targeting," 2017 Meeting Papers 795, Society for Economic Dynamics.
    50. Gino Cateau & Malik Shukayev, 2018. "Limited Commitment, Endogenous Credibility and the Challenges of Price-level Targeting," Staff Working Papers 18-61, Bank of Canada.
    51. Davide Debortoli & Ricardo Nunes, 2008. "Political disagreement, lack of commitment and the level of debt," International Finance Discussion Papers 938, Board of Governors of the Federal Reserve System (U.S.).
    52. Jeffrey R. Campbell & Jacob P. Weber, 2018. "Open Mouth Operations," Working Paper Series WP-2018-3, Federal Reserve Bank of Chicago.
    53. Givens, Gregory E., 2016. "On the gains from monetary policy commitment under deep habits," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 19-36.
    54. Roulleau-Pasdeloup, Jordan, 2020. "Optimal monetary policy and determinacy under active/passive regimes," European Economic Review, Elsevier, vol. 130(C).
    55. Christian Matthes, 2015. "Figuring Out the Fed—Beliefs about Policymakers and Gains from Transparency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(1), pages 1-29, February.
    56. Jean-Bernard Chatelain & Kirsten Ralf, 2023. "Super-Inertial Interest Rate Rules are not Solutions of Ramsey Optimal Policy," Revue d'économie politique, Dalloz, vol. 133(1), pages 119-146.
    57. van Holle, Frederiek, 2017. "Essays in empirical finance and monetary policy," Other publications TiSEM 30d11a4b-7bc9-4c81-ad24-5, Tilburg University, School of Economics and Management.
    58. Bursian Dirk & Roth Markus, 2014. "Optimal policy and Taylor rule cross-checking under parameter uncertainty," The B.E. Journal of Macroeconomics, De Gruyter, vol. 14(1), pages 301-324, January.
    59. Demirel, Ufuk Devrim, 2013. "Gains from commitment in monetary policy: Implications of the cost channel," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 218-226.
    60. Libich, Jan & Nguyen, Dat & Stehlik, Petr, 2014. "Monetary Exit and Fiscal Spillovers," MPRA Paper 57266, University Library of Munich, Germany.
    61. Jan Libich & Petr Stehlik, 2009. "Endogenours monetary commitment," CAMA Working Papers 2009-01, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    62. Hakan Kara, 2004. "Monetary Policy under Imperfect Commitment : Reconciling Theory with Evidence," Working Papers 0415, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    63. Cateau, Gino & Shukayev, Malik, 2016. "Credibility of History-Dependent Monetary Policies and Macroeconomic Instability," Working Papers 2016-7, University of Alberta, Department of Economics.
    64. Nunes, Ricardo, 2008. "Delegation and Loose Commitment," MPRA Paper 11555, University Library of Munich, Germany.
    65. Juan Paez-Farrell, 2023. "On the Unimportance of Commitment for Monetary Policy," Working Papers 2023018, The University of Sheffield, Department of Economics.
    66. Kozo Ueda, 2010. "A Time-Invariant Duration Policy under the Zero Lower Bound," IMES Discussion Paper Series 10-E-12, Institute for Monetary and Economic Studies, Bank of Japan.
    67. Ippei Fujiwara & Timothy Kam & Takeki Sunakawa, 2016. "A note on imperfect credibility," CAMA Working Papers 2016-37, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    68. Svensson, Lars E.O., 2010. "Inflation Targeting," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 22, pages 1237-1302, Elsevier.
    69. Bodenstein, Martin & Hebden, James & Nunes, Ricardo, 2012. "Imperfect credibility and the zero lower bound," Journal of Monetary Economics, Elsevier, vol. 59(2), pages 135-149.
    70. Fabio Canetg, 2018. "Strategic Deviations in Optimal Monetary Policy," Diskussionsschriften dp1817, Universitaet Bern, Departement Volkswirtschaft.
    71. Antoine Camous & Dmitry Matveev, 2023. "The Central Bank Strikes Back! Credibility of Monetary Policy under Fiscal Influence," The Economic Journal, Royal Economic Society, vol. 133(649), pages 1-29.
    72. Jordi Galí, 2018. "The State of New Keynesian Economics: A Partial Assessment," NBER Working Papers 24845, National Bureau of Economic Research, Inc.
    73. Jan Libich & Dat Thanh Nguyen & Petr Stehlík, 2011. "Monetary Exit Strategy and Fiscal Spillovers," CAMA Working Papers 2011-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    74. Davide Debortoli & Ricardo Nunes, 2011. "Monetary regime switches and unstable objectives," International Finance Discussion Papers 1036, Board of Governors of the Federal Reserve System (U.S.).
    75. Christoph Himmels & Tatiana Kirsanova, 2011. "Expectations Traps and Monetary Policy with Limited Commitment," Discussion Papers 1102, University of Exeter, Department of Economics.
    76. Fujiwara, Ippei & Kam, Timothy & Sunakawa, Takeki, 2019. "On two notions of imperfect credibility in optimal monetary policies," Economics Letters, Elsevier, vol. 174(C), pages 22-25.
    77. Christoph Himmels & Tatiana Kirsanova, 2012. "Escaping Expectation Traps: How Much Commitment is Required?," Economics Discussion Paper Series 1220, Economics, The University of Manchester.
    78. Gregory E. Givens, 2012. "Estimating Central Bank Preferences under Commitment and Discretion," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(6), pages 1033-1061, September.
    79. Tokhir Mirzoev, 2004. "Limited Commitment, Inaction and Optimal Monetary Policy," Macroeconomics 0409027, University Library of Munich, Germany.
    80. Jose Eduardo Gomez‐Gonzalez & Julian Andres Parra‐Polania & Mauricio Villamizar‐Villegas, 2021. "More than words: Foreign exchange intervention under imperfect credibility," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 499-507, October.
    81. Demirel, Ufuk Devrim, 2012. "The value of monetary policy commitment under imperfect fiscal credibility," Journal of Economic Dynamics and Control, Elsevier, vol. 36(6), pages 813-829.
    82. Robert G. King & Yang K. Lu, 2020. "Managing Expectations in the New Keynesian Model," HKUST CEP Working Papers Series 202007, HKUST Center for Economic Policy.
    83. Fabio Canetg, 2021. "Strategic deviations in optimal monetary policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 157(1), pages 1-13, December.
    84. Stefano Marzioni & Guido Traficante, 2020. "Heterogeneous Expectations and Uncertain Inflation Target," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 601-621, October.
    85. Libich Jan, 2011. "Inflation Nutters? Modelling the Flexibility of Inflation Targeting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-36, June.
    86. Ergas, Henry, 2010. "New policies create a new politics: issues of institutional design in climate change policy," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(2), pages 1-22.
    87. Henry Ergas, 2008. "Should Australia Encourage Developing Countries to Adopt Competition Laws?," Macroeconomics Working Papers 22307, East Asian Bureau of Economic Research.
    88. Marzioni, Stefano & Traficante, Guido, 2023. "Learning with uncertain inflation target," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 624-634.
    89. Nunes, Ricardo & Park, Donghyun & Rondina, Luca, 2021. "Imperfect credibility, sticky wages, and welfare," Journal of Macroeconomics, Elsevier, vol. 70(C).
    90. J. Scott Davis & Ippei Fujiwara, 2015. "Pegging the exchange rate to gain monetary policy credibility," Globalization Institute Working Papers 224, Federal Reserve Bank of Dallas.
    91. Davide Debortoli & Ricardo Nunes, 2008. "The macroeconomic effect of external pressures on monetary policy," International Finance Discussion Papers 944, Board of Governors of the Federal Reserve System (U.S.).
    92. Eurilton Araújo, 2016. "Monetary Policy Credibility and the Comovement between Stock Returns and Inflation," Working Papers Series 449, Central Bank of Brazil, Research Department.
    93. Eggertsson, Gauti B. & Pugsley, Benjamin, 2006. "The mistake of 1931: A general equilibrium analysis," CFS Working Paper Series 2007/06, Center for Financial Studies (CFS).
    94. Campbell Leith & Simon Wren-Lewis, 2012. "Fiscal Sustainability in a New Keynesian Model - Additional Appendix," Working Papers 2012_13, Business School - Economics, University of Glasgow.

  14. Johansen, S. & Schaumburg, E., 1997. "Likelihood Analysis of Seasonal Cointegration," Economics Working Papers eco97/16, European University Institute.

    Cited by:

    1. Cubadda, Gianluca & Omtzigt, Pieter, 2003. "Small Sample Improvements in the Statistical Analysis of Seasonally Cointegrated Systems," Economics & Statistics Discussion Papers esdp03012, University of Molise, Department of Economics.
    2. Gustavsson, Patrik & Nordström, Jonas, 1999. "The Impact of Seasonal Unit Roots and Vector ARMA Modeling on Forecasting Monthly Tourism Flows," Working Paper Series 150, Trade Union Institute for Economic Research, revised 01 Jul 2000.
    3. B. Nielsen, 2009. "Test for cointegration rank in general vector autoregressions," Economics Papers 2009-W10, Economics Group, Nuffield College, University of Oxford.
    4. Hansen, Peter Reinhard, 2000. "The Johansen-Granger Representation Theorem: An Explicit Expression for I(1) Processes," University of California at San Diego, Economics Working Paper Series qt832256dg, Department of Economics, UC San Diego.
    5. Löf, M. & Franses, Ph.H.B.F., 2000. "On forecasting cointegrated seasonal time series," Econometric Institute Research Papers EI 2000-04/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Mårten Löf & Johan Lyhagen, 2003. "On seasonal error correction when the processes include different numbers of unit roots," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(5), pages 377-389.
    7. del Barrio Castro, Tomás, 2022. "Testing for the cointegration rank between Periodically Integrated processes," MPRA Paper 112730, University Library of Munich, Germany, revised 2022.
    8. Dietmar Bauer & Martin Wagner, 2003. "A Canonical Form for Unit Root Processes in the State Space Framework," Diskussionsschriften dp0312, Universitaet Bern, Departement Volkswirtschaft.
    9. Massimo Franchi & Paolo Paruolo, 2021. "Cointegration, Root Functions and Minimal Bases," Econometrics, MDPI, vol. 9(3), pages 1-27, August.
    10. Barhoumi, Karim, 2006. "Differences in long run exchange rate pass-through into import prices in developing countries: An empirical investigation," Economic Modelling, Elsevier, vol. 23(6), pages 926-951, December.
    11. Svend Hylleberg, 2006. "Seasonal Adjustment," Economics Working Papers 2006-04, Department of Economics and Business Economics, Aarhus University.
    12. H. Peter Boswijk & Jurgen A. Doornik, 2004. "Identifying, estimating and testing restricted cointegrated systems: An overview," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(4), pages 440-465, November.
    13. Philip Kostov & John Lingard, 2005. "Seasonally specific model analysis of UK cereals prices," Econometrics 0507014, University Library of Munich, Germany.
    14. Kirstin Hubrich & Helmut Lutkepohl & Pentti Saikkonen, 2001. "A Review Of Systems Cointegration Tests," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 247-318.
    15. Søren Johansen, 2014. "Times Series: Cointegration," CREATES Research Papers 2014-38, Department of Economics and Business Economics, Aarhus University.
    16. Antonio Rubia, 2001. "Testing For Weekly Seasonal Unit Roots In Daily Electricity Demand: Evidence From Deregulated Markets," Working Papers. Serie EC 2001-21, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    17. Lacroix, R., 2008. "Analyse conjoncturelle de données brutes et estimation de cycles Partie 1 : estimation et tests," Working papers 209, Banque de France.
    18. Beenstock, Michael & Reingewertz, Yaniv & Paldor, Nathan, 2016. "Testing the historic tracking of climate models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1234-1246.
    19. Søren Johansen, 2003. "The asymptotic variance of the estimated roots in a cointegrated vector autoregressive model," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(6), pages 663-678, November.
    20. Massimo Franchi & Paolo Paruolo, 2017. "A general inversion theorem for cointegration," DSS Empirical Economics and Econometrics Working Papers Series 2017/3, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    21. Bent Nielsen, 2005. "Analysis of co-explosive processes," Economics Papers 2005-W08, Economics Group, Nuffield College, University of Oxford.
    22. Dimitris Georgoutsos & George Kouretas, 2001. "Common Stochastic Trends In International Stock Markets: Testing In An Integrated Framework," Working Papers 0104, University of Crete, Department of Economics.
    23. Gianluca Cubadda, 2001. "Complex Reduced Rank Models For Seasonally Cointegrated Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(4), pages 497-511, September.
    24. Dietmar Bauer & Martin Wagner, 2002. "Asymptotic Properties of Pseudo Maximum Likelihood Estimates for Multiple Frequency I(1) Processes," Diskussionsschriften dp0205, Universitaet Bern, Departement Volkswirtschaft.
    25. Pami Dua & Lokendra Kumawat, 2005. "Modelling and Forecasting Seasonality in Indian Macroeconomic Time Series," Working papers 136, Centre for Development Economics, Delhi School of Economics.
    26. Dimitris Georgoutsos & Georgios Kouretas, 2004. "A Multivariate I(2) cointegration analysis of German hyperinflation," Applied Financial Economics, Taylor & Francis Journals, vol. 14(1), pages 29-41.
    27. Johan Lyhagen, 2006. "The seasonal KPSS statistic," Economics Bulletin, AccessEcon, vol. 3(13), pages 1-9.
    28. Tomas del Barrio Castro & Mariam Camarero & Cecilio Tamarit, 2013. "An analysis of the trade balance for OECD countries using periodic integration and cointegration," Working Papers 1320, Department of Applied Economics II, Universidad de Valencia.
    29. Johansen, Soren, 2000. "Modelling of cointegration in the vector autoregressive model," Economic Modelling, Elsevier, vol. 17(3), pages 359-373, August.
    30. Gianluca Cubadda, 2001. "Common Features In Time Series With Both Deterministic And Stochastic Seasonality," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 201-216.
    31. Franses, Philip Hans & Kunst, Robert M., 1995. "On the role of seasonal intercepts in seasonal cointegration," Economics Series 15, Institute for Advanced Studies.
    32. Marco Centoni & Gianluca Cubadda, 2011. "Modelling Comovements of Economic Time Series: A Selective Survey," CEIS Research Paper 215, Tor Vergata University, CEIS, revised 26 Oct 2011.
    33. Löf, Mårten & Lyhagen, Johan, 1999. "Forecasting performance of seasonal cointegration models," SSE/EFI Working Paper Series in Economics and Finance 336, Stockholm School of Economics.
    34. Dietmar Bauer & Martin Wagner, 2003. "On Polynomial Cointegration in the State Space Framework," Diskussionsschriften dp0313, Universitaet Bern, Departement Volkswirtschaft.
    35. Panayiotis Diamantis & Dimitris Georgoutsos & George Kouretas, 2001. "The Monetary Approach in the Presence of I(2) Components: A Cointegration Analysis of the Official and Black Market for Foreign Currency in Latin America," Working Papers 0108, University of Crete, Department of Economics.

Articles

  1. Da, Zhi & Schaumburg, Ernst, 2011. "Relative valuation and analyst target price forecasts," Journal of Financial Markets, Elsevier, vol. 14(1), pages 161-192, February.

    Cited by:

    1. Gu, Chen & Guo, Xu & Zhang, Chengping, 2022. "Analyst target price revisions and institutional herding," International Review of Financial Analysis, Elsevier, vol. 82(C).
    2. Joana Almeida & Raquel M. Gaspar, 2021. "Accuracy of European Stock Target Prices," JRFM, MDPI, vol. 14(9), pages 1-27, September.
    3. Ho, Tuan & Nguyen, Yen & Parikh, Bhavik & Vo, Dinh-Tri, 2020. "Does foreign exchange risk matter to equity research analysts when forecasting stock prices? Evidence from U.S. firms," International Review of Financial Analysis, Elsevier, vol. 72(C).
    4. Emre Ozdenoren & Kathy Yuan, 2012. "Stock Market Tournaments," FMG Discussion Papers dp706, Financial Markets Group.
    5. Sanjay Sehgal & Asheesh Pandey, 2010. "Equity Valuation Using Price Multiples: A Comparative Study for BRICKS," Asian Journal of Finance & Accounting, Macrothink Institute, vol. 2(1), pages 6891-6891, December.
    6. Ozdenoren, Emre & Yuan, Kathy, 2017. "Contractual externalities and systemic risk," LSE Research Online Documents on Economics 75998, London School of Economics and Political Science, LSE Library.
    7. Li, Xingjian & Feng, Hongrui & Yan, Shu & Wang, Heng, 2021. "Dispersion in analysts’ target prices and stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    8. Artur Aiguzhinov & Ana Paula Serra & Carlos Soares, 2016. "Are rankings of financial analysts useful to investors?," CEF.UP Working Papers 1604, Universidade do Porto, Faculdade de Economia do Porto.
    9. Campbell R. Harvey & Yan Liu & Heqing Zhu, 2014. ". . . and the Cross-Section of Expected Returns," NBER Working Papers 20592, National Bureau of Economic Research, Inc.
    10. Jinji Hao & Jonathon Skinner, 2023. "Analyst target price and dividend forecasts and expected stock returns," Journal of Asset Management, Palgrave Macmillan, vol. 24(2), pages 108-120, March.
    11. Tuan Ho & Ruby Brownen‐Trinh & Fangming Xu, 2021. "The information content of target price forecasts: Evidence from mergers and acquisitions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(5-6), pages 1134-1171, May.
    12. Ozdenoren, Emre & Yuan, Kathy, 2015. "Endogenous contractual externalities," LSE Research Online Documents on Economics 65100, London School of Economics and Political Science, LSE Library.
    13. Yang, Yan & Copeland, Laurence, 2014. "The Effects of Sentiment on Market Return and Volatility and The Cross-Sectional Risk Premium of Sentiment-affected Volatility," Cardiff Economics Working Papers E2014/12, Cardiff University, Cardiff Business School, Economics Section.
    14. Markus Buxbaum & Wolfgang Schultze & Samuel L. Tiras, 2023. "Do analysts’ target prices stabilize the stock market?," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 763-816, October.
    15. Gerritsen, Dirk F., 2015. "Security analysts’ target prices and takeover premiums," Finance Research Letters, Elsevier, vol. 13(C), pages 205-213.
    16. Wan Nordin Wan-Hussin & Ameen Qasem & Norhani Aripin & Mohd Shazwan Mohd Ariffin, 2021. "Corporate Responsibility Disclosure, Information Environment and Analysts’ Recommendations: Evidence from Malaysia," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    17. Cheng, Lee-Young & Su, Yi-Chen & Yan, Zhipeng & Zhao, Yan, 2019. "Corporate governance and target price accuracy," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 93-101.
    18. Gerritsen, Dirk F. & Weitzel, Utz, 2017. "Security analyst target prices as reference point and takeover completion," Journal of Behavioral and Experimental Finance, Elsevier, vol. 15(C), pages 1-14.
    19. Han, Chulwoo & Kang, Jangkoo & Kim, Sun Yung, 2022. "Betting against analyst target price," Journal of Financial Markets, Elsevier, vol. 59(PB).
    20. Seema REHMAN & Saqib SHARIF & Wali ULLAH, 2021. "Higher Realized Moments and Stock Return Predictability," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 48-70, December.
    21. Hyung Ju Park & Joong-Seok Cho, 2020. "Earnings Transparency and Financial Analysts¡¯ Target Price Forecasts," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(4), pages 1-9, July.
    22. Lavelle, Sean, 2016. "Market dynamics when participants rely on relative valuation," Economics Discussion Papers 2016-42, Kiel Institute for the World Economy (IfW Kiel).
    23. Samie Ahmed Sayed, 2015. "Should Analysts Go by the Book? Valuation Models and Target Price Accuracy in an Emerging Market," Global Business Review, International Management Institute, vol. 16(5), pages 832-844, October.
    24. Khan, Muhammad Arif & Hassan, M. Kabir & Maraghini, Maria Pia & Paolo, Biancone & Valentinuz, Giorgio, 2024. "Valuation effect of ESG and its impact on capital structure: Evidence from Europe," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 19-35.
    25. Mark T. Bradshaw & Alan G. Huang & Hongping Tan, 2019. "The Effects of Analyst‐Country Institutions on Biased Research: Evidence from Target Prices," Journal of Accounting Research, Wiley Blackwell, vol. 57(1), pages 85-120, March.
    26. Engelberg, Joseph & McLean, R. David & Pontiff, Jeffrey, 2020. "Analysts and anomalies," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    27. Samie Ahmed Sayed, 2016. "Are Stars Worth Following? Measuring the Target Price Predictive Ability of Star Analysts in an Emerging Market," IIM Kozhikode Society & Management Review, , vol. 5(2), pages 173-185, July.
    28. Jan Klobucnik & Daniel Kreutzmann & Soenke Sievers & Stefan Kanne, 2012. "To buy or not to buy? The value of contradictory analyst signals," Cologne Graduate School Working Paper Series 03-03, Cologne Graduate School in Management, Economics and Social Sciences.
    29. Stefan Kanne & Jan Klobucnik & Daniel Kreutzmann & Soenke Sievers, 2012. "To buy or not to buy? The value of contradictory analyst signals," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(4), pages 405-428, December.
    30. Mu-Shu Yun & Lee-Young Cheng & Yan Zhao, 2023. "Customer concentration and target price accuracy," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 995-1028, October.

  2. Ravi Jagannathan & Ernst Schaumburg & Guofu Zhou, 2010. "Cross-Sectional Asset Pricing Tests," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 49-74, December.

    Cited by:

    1. Liao Zhu & Sumanta Basu & Robert A. Jarrow & Martin T. Wells, 2018. "High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model," Papers 1804.08472, arXiv.org, revised Dec 2021.
    2. Adam Zaremba, 2019. "The Cross Section of Country Equity Returns: A Review of Empirical Literature," JRFM, MDPI, vol. 12(4), pages 1-26, October.
    3. Robert Jarrow, 2016. "Bubbles And Multiple-Factor Asset Pricing Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-19, February.
    4. Thewissen, James & Torsin, Wouter & Boudt, Kris, 2018. "When does the tone of earnings press releases matter?," LIDAM Reprints LFIN 2018001, Université catholique de Louvain, Louvain Finance (LFIN).
    5. Hansen, Erwin, 2022. "Economic evaluation of asset pricing models under predictability," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 50-66.
    6. Liao Zhu & Robert A. Jarrow & Martin T. Wells, 2020. "Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model," Papers 2011.04171, arXiv.org, revised Apr 2021.
    7. PAOLA BRIGHI & STEFANO d'ADDONA & ANTONIO CARLO FRANCESCO DELLA BINA, 2013. "The Determinants of Risk Premia on the Italian Stock Market: Empirical Evidence on Common Factors in Asset Pricing Models," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 42(2), pages 103-133, July.
    8. Liao Zhu, 2021. "The Adaptive Multi-Factor Model and the Financial Market," Papers 2107.14410, arXiv.org, revised Aug 2021.
    9. Skočir, Matevž & Lončarski, Igor, 2018. "Multi-factor asset pricing models: Factor construction choices and the revisit of pricing factors," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 65-80.
    10. Robert Jarrow, 2018. "Asset market equilibrium with liquidity risk," Annals of Finance, Springer, vol. 14(2), pages 253-288, May.
    11. Baek, Seungho & Bilson, John F.O., 2015. "Size and value risk in financial firms," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 295-326.
    12. Hollstein, Fabian & Prokopczuk, Marcel, 2022. "Testing Factor Models in the Cross-Section," Journal of Banking & Finance, Elsevier, vol. 145(C).
    13. Johan Knif & James W. Kolari & Gregory Koutmos & Seppo Pynnönen, 2019. "Measuring the relative return contribution of risk factors," Journal of Asset Management, Palgrave Macmillan, vol. 20(4), pages 263-272, July.
    14. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).
    15. Robert Jarrow, 2018. "An Equilibrium Capital Asset Pricing Model in Markets with Price Jumps and Price Bubbles," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-33, June.
    16. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    17. Christian Fieberg & Armin Varmaz & Thorsten Poddig, 2016. "Covariances vs. characteristics: what does explain the cross section of the German stock market returns?," Business Research, Springer;German Academic Association for Business Research, vol. 9(1), pages 27-50, April.
    18. Robert Jarrow, 2017. "A Capm With Trading Constraints And Price Bubbles," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-39, December.

  3. Schaumburg, Ernst & Tambalotti, Andrea, 2007. "An investigation of the gains from commitment in monetary policy," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 302-324, March.
    See citations under working paper version above.
  4. Johansen, Soren & Schaumburg, Ernst, 1998. "Likelihood analysis of seasonal cointegration," Journal of Econometrics, Elsevier, vol. 88(2), pages 301-339, November.
    See citations under working paper version above.
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