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Yohei Yamamoto

Personal Details

First Name:Yohei
Middle Name:
Last Name:Yamamoto
Suffix:
RePEc Short-ID:pya247
[This author has chosen not to make the email address public]
https://sites.google.com/site/yoheiyama/
2-1 Naka, Kunitachi, Tokyo, 186-8601, Japan
Terminal Degree:2009 Department of Economics; Boston University (from RePEc Genealogy)

Affiliation

Graduate School of Economics/Faculty of Economics
Hitotsubashi University

Tokyo, Japan
http://www.econ.hit-u.ac.jp/

+81-42-580-8000


RePEc:edi:fehitjp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. , 2020. "Reserves and Risk: Evidence from China," Globalization Institute Working Papers 387, Federal Reserve Bank of Dallas.
  2. Perron, Pierre & Yamamoto, Yohei, 2019. "The Great Moderation: Updated Evidence with Joint Tests for Multiple Structural Changes in Variance and Persistence," Discussion paper series HIAS-E-90, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
  3. Pierre Perron & Yohei Yamamoto & Jing Zhou, 2019. "Testing jointly for structural changes in the error variance and coe¢ cients of a linear regression model," Boston University - Department of Economics - Working Papers Series WP2020-010, Boston University - Department of Economics, revised Feb 2020.
  4. Rasmus Fatum & Naoko Hara & Yohei Yamamoto, 2019. "Negative Interest Rate Policy and the Influence of Macroeconomic News on Yields," Globalization Institute Working Papers 354, Federal Reserve Bank of Dallas.
  5. Perron, Pierre & Yamamoto, Yohei, 2019. "Pitfalls of Two Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model," Discussion Papers 2019-01, Graduate School of Economics, Hitotsubashi University.
  6. Perron, Pierre & Yamamoto, Yohei & Zhou, Jing, 2019. "Testing Jointly for Structural Changes in the Error Variance and Coefficients of a Linear Regression Model," Discussion paper series HIAS-E-85, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
  7. YAMAMOTO, Yohei, 2018. "Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances," Discussion paper series HIAS-E-72, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
  8. PERRON, Pierre & YAMAMOTO, Yohei, 2018. "Testing for Changes in Forecasting Performance," Discussion Papers 2018-03, Graduate School of Economics, Hitotsubashi University.
  9. Yin-Wong Cheung & Rasmus Fatum & Yohei Yamamoto, 2017. "The Exchange Rate Effects of Macro News after the Global Financial Crisis," Globalization Institute Working Papers 305, Federal Reserve Bank of Dallas.
  10. Rasmus Fatum & Yohei Yamamoto & Guozhong Zhu, 2016. "Is the Renminbi a safe haven?," Globalization Institute Working Papers 276, Federal Reserve Bank of Dallas.
  11. HORIE, Tetsushi & YAMAMOTO, Yohei, 2016. "Testing for Speculative Bubbles in Large-Dimensional Financial Panel Data Sets," Discussion Papers 2016-04, Graduate School of Economics, Hitotsubashi University.
  12. YAMAMOTO, Yohei, 2015. "Asymptotic Inference for Common Factor Models in the Presence of Jumps," Discussion Papers 2015-05, Graduate School of Economics, Hitotsubashi University.
  13. KUROZUMI, Eiji & YAMAMOTO, Yohei, 2015. "Confidence Sets for the Break Date Based on Optimal Tests," Discussion Papers 2015-01, Graduate School of Economics, Hitotsubashi University.
  14. Yamamoto, Yohei, 2014. "A Modified Confidence Set for the Structural Break Date in Linear Regression Models," Discussion Papers 2014-08, Graduate School of Economics, Hitotsubashi University.
  15. Yohei Yamamoto, 2013. "Forecasting with Non-spurious Factors in U.S. Macroeconomic Time Series," Global COE Hi-Stat Discussion Paper Series gd12-280, Institute of Economic Research, Hitotsubashi University.
  16. Dukpa Kim & Yohei Yamamoto, 2013. "Time Instability of the U.S. Monetary System: Multiple Break Tests and Reduced Rank TVP VAR," Global COE Hi-Stat Discussion Paper Series gd12-279, Institute of Economic Research, Hitotsubashi University.
  17. YAMAMOTO, Yohei & TANAKA, Shinya, 2013. "Testing for Factor Loading Structural Change under Common Breaks," Discussion Papers 2013-17, Graduate School of Economics, Hitotsubashi University.
  18. Yohei Yamamoto, 2012. "Bootstrap Inference for Impulse Response Functions in Factor-Augmented Vector Autoregressions," Global COE Hi-Stat Discussion Paper Series gd12-249, Institute of Economic Research, Hitotsubashi University.
  19. Rasmus Fatum & Yohei Yamamoto, 2012. "Does foreign exchange intervention volume matter?," Globalization Institute Working Papers 115, Federal Reserve Bank of Dallas.
  20. Pierre Perron & Yohei Yamamoto, 2011. "A Note on Estimating and Testing for Multiple Structural Changes in Models with Endogenous Regressors via 2SLS," Boston University - Department of Economics - Working Papers Series WP2011-054, Boston University - Department of Economics.
  21. Pierre Perron & Yohei Yamamoto, 2011. "Estimating and Testing Multiple Structural Changes in Linear Models Using Band Spectral Regressions," Boston University - Department of Economics - Working Papers Series WP2011-049, Boston University - Department of Economics.
  22. Pierre Perron & Yohei Yamamoto, 2011. "Using OLS to Estimate and Test for Structural Changes in Models with Endogenous Regressors," Boston University - Department of Economics - Working Papers Series WP2011-053, Boston University - Department of Economics.
  23. Pierre Perron & Yohei Yamamoto, 2008. "Estimating and Testing Multiple Structural Changes in Models with Endogenous Regressors," Boston University - Department of Economics - Working Papers Series wp2008-017, Boston University - Department of Economics.
  24. Pierre Perron & Yohei Yamamoto, 2008. "On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests," Boston University - Department of Economics - Working Papers Series wp2008-006, Boston University - Department of Economics.

Articles

  1. Pierre Perron & Yohei Yamamoto & Jing Zhou, 2020. "Testing jointly for structural changes in the error variance and coefficients of a linear regression model," Quantitative Economics, Econometric Society, vol. 11(3), pages 1019-1057, July.
  2. Yohei Yamamoto, 2019. "Bootstrap inference for impulse response functions in factor‐augmented vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 247-267, March.
  3. Pierre Perron & Yohei Yamamoto, 2019. "Pitfalls of Two-Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model," Econometrics, MDPI, Open Access Journal, vol. 7(2), pages 1-11, May.
  4. Cheung, Yin-Wong & Fatum, Rasmus & Yamamoto, Yohei, 2019. "The exchange rate effects of macro news after the global Financial Crisis," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 424-443.
  5. Yohei Yamamoto, 2018. "A modified confidence set for the structural break date in linear regression models," Econometric Reviews, Taylor & Francis Journals, vol. 37(9), pages 974-999, October.
  6. Fatum, Rasmus & Yamamoto, Yohei & Zhu, Guozhong, 2017. "Is the Renminbi a safe haven?," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 189-202.
  7. Yohei Yamamoto, 2016. "Forecasting With Nonspurious Factors in U.S. Macroeconomic Time Series," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 81-106, January.
  8. Fatum, Rasmus & Yamamoto, Yohei, 2016. "Intra-safe haven currency behavior during the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 66(C), pages 49-64.
  9. Pierre Perron & Yohei Yamamoto, 2016. "On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 782-844, May.
  10. Eiji Kurozumi & Yohei Yamamoto, 2015. "Confidence sets for the break date based on optimal tests," Econometrics Journal, Royal Economic Society, vol. 18(3), pages 412-435, October.
  11. Yamamoto, Yohei & Tanaka, Shinya, 2015. "Testing for factor loading structural change under common breaks," Journal of Econometrics, Elsevier, vol. 189(1), pages 187-206.
  12. Pierre Perron & Yohei Yamamoto, 2015. "Using OLS to Estimate and Test for Structural Changes in Models with Endogenous Regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 119-144, January.
  13. Fatum, Rasmus & Yamamoto, Yohei, 2014. "Large versus small foreign exchange interventions," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 114-123.
  14. Perron, Pierre & Yamamoto, Yohei, 2014. "A Note On Estimating And Testing For Multiple Structural Changes In Models With Endogenous Regressors Via 2sls," Econometric Theory, Cambridge University Press, vol. 30(2), pages 491-507, April.
  15. Yohei Yamamoto & Pierre Perron, 2013. "Estimating and testing multiple structural changes in linear models using band spectral regressions," Econometrics Journal, Royal Economic Society, vol. 16(3), pages 400-429, October.

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. Rasmus Fatum & Naoko Hara & Yohei Yamamoto, 2019. "Negative Interest Rate Policy and the Influence of Macroeconomic News on Yields," Globalization Institute Working Papers 354, Federal Reserve Bank of Dallas.

    Cited by:

    1. Jeffrey R. Campbell & Thomas B. King & Anna Orlik & Rebecca Zarutskie, 2020. "Issues Regarding the Use of the Policy Rate Tool," Finance and Economics Discussion Series 2020-070, Board of Governors of the Federal Reserve System (U.S.).

  2. Perron, Pierre & Yamamoto, Yohei, 2019. "Pitfalls of Two Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model," Discussion Papers 2019-01, Graduate School of Economics, Hitotsubashi University.

    Cited by:

    1. Daiki Maki & Yasushi Ota, 2019. "Testing for time-varying properties under misspecified conditional mean and variance," Papers 1907.12107, arXiv.org, revised Aug 2019.

  3. Perron, Pierre & Yamamoto, Yohei & Zhou, Jing, 2019. "Testing Jointly for Structural Changes in the Error Variance and Coefficients of a Linear Regression Model," Discussion paper series HIAS-E-85, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.

    Cited by:

    1. Jing Zhou & Pierre Perron, 2008. "Testing for Breaks in Coefficients and Error Variance: Simulations and Applications," Boston University - Department of Economics - Working Papers Series wp2008-010, Boston University - Department of Economics.
    2. Perron, Pierre & Yamamoto, Yohei, 2019. "Pitfalls of Two Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model," Discussion Papers 2019-01, Graduate School of Economics, Hitotsubashi University.
    3. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    4. Mohitosh Kejriwal & Xuewen Yu & Pierre Perron, 2020. "Bootstrap procedures for detecting multiple persistence shifts in heteroskedastic time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 676-690, September.
    5. Zeileis, Achim & Shah, Ajay & Patnaik, Ila, 2010. "Testing, monitoring, and dating structural changes in exchange rate regimes," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1696-1706, June.
    6. Soo-Bin Jeong & Bong-Hwan Kim & Tae-Hwan Kim & Hyung-Ho Moon, 2017. "Unit Root Tests In The Presence Of Multiple Breaks In Variance," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(02), pages 345-361, June.
    7. Pierre Perron & Yohei Yamamoto, 2020. "The Great Moderation: Updated Evidence with Joint Tests for Multiple Structural Changes in Variance and Persistence," Boston University - Department of Economics - Working Papers Series WP2020-008, Boston University - Department of Economics.
    8. Loredana Ureche-Rangau & Franck Speeg, 2011. "A simple method for variance shift detection at unknown time points," Economics Bulletin, AccessEcon, vol. 31(3), pages 2204-2218.
    9. Wu, Jilin, 2016. "Detecting structural changes under nonstationary volatility," Economics Letters, Elsevier, vol. 146(C), pages 151-154.

  4. PERRON, Pierre & YAMAMOTO, Yohei, 2018. "Testing for Changes in Forecasting Performance," Discussion Papers 2018-03, Graduate School of Economics, Hitotsubashi University.

    Cited by:

    1. Federico Belotti & Alessandro Casini & Leopoldo Catania & Stefano Grassi & Pierre Perron, 2021. "Simultaneous Bandwidths Determination for DK-HAC Estimators and Long-Run Variance Estimation in Nonparametric Settings," Papers 2103.00060, arXiv.org.

  5. Yin-Wong Cheung & Rasmus Fatum & Yohei Yamamoto, 2017. "The Exchange Rate Effects of Macro News after the Global Financial Crisis," Globalization Institute Working Papers 305, Federal Reserve Bank of Dallas.

    Cited by:

    1. Adrian Jäggi & Martin Schlegel & Attilio Zanetti, 2019. "Macroeconomic surprises, market environment, and safe-haven currencies," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-21, December.
    2. Masahiro Yamada & Takatoshi Ito, 2020. "Price Discovery and Liquidity Recovery: Forex Market Reactions to Macro Announcements," NBER Working Papers 27036, National Bureau of Economic Research, Inc.
    3. Ederington, Louis & Guan, Wei & Yang, Lisa (Zongfei), 2019. "The impact of the U.S. employment report on exchange rates," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 257-267.
    4. Thi‐Hong‐Van Hoang & Wojciech Przychodzen & Justyna Przychodzen & Elysé A. Segbotangni, 2020. "Does it pay to be green? A disaggregated analysis of U.S. firms with green patents," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1331-1361, March.

  6. Rasmus Fatum & Yohei Yamamoto & Guozhong Zhu, 2016. "Is the Renminbi a safe haven?," Globalization Institute Working Papers 276, Federal Reserve Bank of Dallas.

    Cited by:

    1. Yu-Lun Chen, 2020. "News announcements and price discovery in the RMB–USD market," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1487-1508, May.
    2. Ji, Qiang & Liu, Bing-Yue & Fan, Ying, 2019. "Risk dependence of CoVaR and structural change between oil prices and exchange rates: A time-varying copula model," Energy Economics, Elsevier, vol. 77(C), pages 80-92.
    3. Sun, Yuying & Bao, Qin & Zheng, Jiali & Wang, Shouyang, 2020. "Assessing the price dynamics of onshore and offshore RMB markets: An ITS model approach," China Economic Review, Elsevier, vol. 62(C).
    4. Bouri, Elie & Hussain Shahzad, Syed Jawad & Roubaud, David, 2020. "Cryptocurrencies as hedges and safe-havens for US equity sectors," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 294-307.
    5. MASUJIMA Yuki, 2017. "Safe Haven Currency and Market Uncertainty: Yen, renminbi, dollar, and alternatives," Discussion papers 17048, Research Institute of Economy, Trade and Industry (RIETI).
    6. MASUJIMA Yuki, 2019. "Time-Variant Safe-Haven Currency Status and Determinants," Discussion papers 19048, Research Institute of Economy, Trade and Industry (RIETI).
    7. Tom Pak Wing Fong & Alfred Yun Tong Wong, 2020. "Safehavenness of the Chinese renminbi," International Finance, Wiley Blackwell, vol. 23(2), pages 215-233, August.

  7. HORIE, Tetsushi & YAMAMOTO, Yohei, 2016. "Testing for Speculative Bubbles in Large-Dimensional Financial Panel Data Sets," Discussion Papers 2016-04, Graduate School of Economics, Hitotsubashi University.

    Cited by:

    1. Moreira, Afonso M. & Martins, Luis F., 2020. "A new mechanism for anticipating price exuberance," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 199-221.

  8. KUROZUMI, Eiji & YAMAMOTO, Yohei, 2015. "Confidence Sets for the Break Date Based on Optimal Tests," Discussion Papers 2015-01, Graduate School of Economics, Hitotsubashi University.

    Cited by:

    1. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    2. KUROZUMI, Eiji, 2017. "Confidence Sets for the Date of a Mean Shift at the End of a Sample," Discussion Papers 2017-06, Graduate School of Economics, Hitotsubashi University.
    3. Eo, Yunjong & Morley, James, 2011. "Likelihood-Ratio-Based Confidence Sets for the Timing of Structural Breaks," Working Papers 2011-07, University of Sydney, School of Economics, revised Feb 2014.
    4. KUROZUMI, Eiji & SKROBOTOV, Anton, 2016. "Confidence Sets for the Break Date in Cointegrating Regressions," Discussion Papers 2016-07, Graduate School of Economics, Hitotsubashi University.
    5. Harvey, David I. & Leybourne, Stephen J., 2016. "Improving the length of confidence sets for the date of a break in level and trend when the order of integration is unknown," Economics Letters, Elsevier, vol. 145(C), pages 239-245.
    6. Eiji Kurozumi, 2018. "Confidence Sets for the Date of a Structural Change at the End of a Sample," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 850-862, November.
    7. KUROZUMI, Eiji, 2016. "Monitoring Parameter Constancy with Endogenous Regressors," Discussion Papers 2016-01, Graduate School of Economics, Hitotsubashi University.

  9. Yamamoto, Yohei, 2014. "A Modified Confidence Set for the Structural Break Date in Linear Regression Models," Discussion Papers 2014-08, Graduate School of Economics, Hitotsubashi University.

    Cited by:

    1. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    2. KUROZUMI, Eiji & YAMAMOTO, Yohei, 2015. "Confidence Sets for the Break Date Based on Optimal Tests," Discussion Papers 2015-01, Graduate School of Economics, Hitotsubashi University.
    3. KUROZUMI, Eiji, 2017. "Confidence Sets for the Date of a Mean Shift at the End of a Sample," Discussion Papers 2017-06, Graduate School of Economics, Hitotsubashi University.
    4. Eo, Yunjong & Morley, James, 2011. "Likelihood-Ratio-Based Confidence Sets for the Timing of Structural Breaks," Working Papers 2011-07, University of Sydney, School of Economics, revised Feb 2014.
    5. KUROZUMI, Eiji & SKROBOTOV, Anton, 2016. "Confidence Sets for the Break Date in Cointegrating Regressions," Discussion Papers 2016-07, Graduate School of Economics, Hitotsubashi University.

  10. Yohei Yamamoto, 2013. "Forecasting with Non-spurious Factors in U.S. Macroeconomic Time Series," Global COE Hi-Stat Discussion Paper Series gd12-280, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Nektarios Aslanidis & Luke Hartigan, 2016. "Is the Assumption of Linearity in Factor Models too Strong in Practice?," Discussion Papers 2016-03, School of Economics, The University of New South Wales.
    2. Luke Hartigan, 2015. "Changes in the Factor Structure of the U.S. Economy: Permanent Breaks or Business Cycle Regimes?," Discussion Papers 2015-17, School of Economics, The University of New South Wales.
    3. Bai, Jushan & Han, Xu & Shi, Yutang, 2020. "Estimation and inference of change points in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 219(1), pages 66-100.
    4. YAMAMOTO, Yohei, 2018. "Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances," Discussion paper series HIAS-E-72, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.

  11. Dukpa Kim & Yohei Yamamoto, 2013. "Time Instability of the U.S. Monetary System: Multiple Break Tests and Reduced Rank TVP VAR," Global COE Hi-Stat Discussion Paper Series gd12-279, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Eddie Gerba & Klemens Hauzenberger, 2013. "Estimating US Fiscal and Monetary Interactions in a Time Varying VAR," Studies in Economics 1303, School of Economics, University of Kent.

  12. YAMAMOTO, Yohei & TANAKA, Shinya, 2013. "Testing for Factor Loading Structural Change under Common Breaks," Discussion Papers 2013-17, Graduate School of Economics, Hitotsubashi University.

    Cited by:

    1. Ma, Shujie & Su, Liangjun, 2018. "Estimation of large dimensional factor models with an unknown number of breaks," Journal of Econometrics, Elsevier, vol. 207(1), pages 1-29.
    2. Badi Baltagi & Qu Feng & Chihwa Kao, 2019. "Structural Changes in Heterogeneous Panels with Endogenous Regressors," Center for Policy Research Working Papers 214, Center for Policy Research, Maxwell School, Syracuse University.
    3. Laurent Callot & Johannes Tang Kristensen, 2016. "Regularized Estimation of Structural Instability in Factor Models: The US Macroeconomy and the Great Moderation," Advances in Econometrics, in: Eric Hillebrand & Siem Jan Koopman (ed.), Dynamic Factor Models, volume 35, pages 437-479, Emerald Publishing Ltd.
    4. Yamamoto, Yohei, 2014. "A Modified Confidence Set for the Structural Break Date in Linear Regression Models," Discussion Papers 2014-08, Graduate School of Economics, Hitotsubashi University.
    5. Tatsushi Oka & Pierre Perron, 2016. "Testing for Common Breaks in a Multiple Equations System," Papers 1606.00092, arXiv.org, revised Jan 2018.
    6. Su, Liangjun & Wang, Xia, 2017. "On time-varying factor models: Estimation and testing," Journal of Econometrics, Elsevier, vol. 198(1), pages 84-101.
    7. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    8. Massacci, Daniele, 2017. "Least squares estimation of large dimensional threshold factor models," Journal of Econometrics, Elsevier, vol. 197(1), pages 101-129.
    9. Matteo Barigozzi & Lorenzo Trapani, 2018. "Sequential testing for structural stability in approximate factor models," Discussion Papers 18/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    10. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
    11. Luke Hartigan, 2015. "Changes in the Factor Structure of the U.S. Economy: Permanent Breaks or Business Cycle Regimes?," Discussion Papers 2015-17, School of Economics, The University of New South Wales.
    12. Bai, Jushan & Han, Xu & Shi, Yutang, 2020. "Estimation and inference of change points in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 219(1), pages 66-100.
    13. HORIE, Tetsushi & YAMAMOTO, Yohei, 2016. "Testing for Speculative Bubbles in Large-Dimensional Financial Panel Data Sets," Discussion Papers 2016-04, Graduate School of Economics, Hitotsubashi University.
    14. Barigozzi, Matteo & Cho, Haeran & Fryzlewicz, Piotr, 2018. "Simultaneous multiple change-point and factor analysis for high-dimensional time series," LSE Research Online Documents on Economics 88110, London School of Economics and Political Science, LSE Library.
    15. YAMAMOTO, Yohei, 2018. "Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances," Discussion paper series HIAS-E-72, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    16. Horváth, Lajos & Rice, Gregory, 2019. "Asymptotics for empirical eigenvalue processes in high-dimensional linear factor models," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 138-165.
    17. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    18. Han, Chirok & Kim, Dukpa, 2020. "Testing for the null of block zero restrictions in common factor models," Economics Letters, Elsevier, vol. 188(C).
    19. Thomas Despois & Catherine Doz, 2020. "Another look into the factor model black box: factor interpretation and structural (in)stability," Working Papers halshs-02235543, HAL.
    20. Markus Pelger & Ruoxuan Xiong, 2018. "State-Varying Factor Models of Large Dimensions," Papers 1807.02248, arXiv.org, revised Oct 2020.
    21. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," PSE Working Papers halshs-02262202, HAL.

  13. Yohei Yamamoto, 2012. "Bootstrap Inference for Impulse Response Functions in Factor-Augmented Vector Autoregressions," Global COE Hi-Stat Discussion Paper Series gd12-249, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Bicu, A.C. & Lieb, L.M., 2015. "Cross-border effects of fiscal policy in the Eurozone," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
    2. Mototsugu Shintani & Zi-yi Guo, 2015. "Improving the Finite Sample Performance of Autoregression Estimators in Dynamic Factor Models: A Bootstrap Approach," Vanderbilt University Department of Economics Working Papers 15-00013, Vanderbilt University Department of Economics.
    3. Maldonado, Javier & Ruiz Ortega, Esther, 2017. "Accurate Subsampling Intervals of Principal Components Factors," DES - Working Papers. Statistics and Econometrics. WS 23974, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Franz Ramsauer & Aleksey Min & Michael Lingauer, 2019. "Estimation of FAVAR Models for Incomplete Data with a Kalman Filter for Factors with Observable Components," Econometrics, MDPI, Open Access Journal, vol. 7(3), pages 1-43, July.
    5. Zongwu Cai & Xiyuan Liu, 2021. "Solving the Price Puzzle Via A Functional Coefficient Factor-Augmented VAR Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202106, University of Kansas, Department of Economics, revised Jan 2021.
    6. Herrera, Ana María & Rangaraju, Sandeep Kumar, 2019. "The quantitative effects of tax foresight: Not all states are equal," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    7. Anindya Banerjee & Victor Bystrov & Paul Mizen, 2017. "Structural Factor Analysis of Interest Rate Pass Through In Four Large Euro Area Economies," Working Papers in Economics 17/07, University of Canterbury, Department of Economics and Finance.
    8. Silvia Gonçalves & Benoit Perron, 2012. "Bootstrapping factor-augmented regression models," CIRANO Working Papers 2012s-12, CIRANO.
    9. Martin Bruns, 2019. "Proxy VAR Models in a Data-Rich Environment," Discussion Papers of DIW Berlin 1831, DIW Berlin, German Institute for Economic Research.
    10. Bai, Jushan & Li, Kunpeng & Lu, Lina, 2014. "Estimation and inference of FAVAR models," MPRA Paper 60960, University Library of Munich, Germany.
    11. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    12. Dominik Bertsche, 2019. "The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach," Working Paper Series of the Department of Economics, University of Konstanz 2019-06, Department of Economics, University of Konstanz.
    13. Bruns, Martin, 2021. "Proxy Vector Autoregressions in a Data-rich Environment," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    14. Shintani, Mototsugu & Guo, Zi-Yi, 2011. "Finite Sample Performance of Principal Components Estimators for Dynamic Factor Models: Asymptotic vs. Bootstrap Approximations," EconStor Preprints 167627, ZBW - Leibniz Information Centre for Economics.
    15. Herrera, Ana María & Karaki, Mohamad B. & Rangaraju, Sandeep Kumar, 2017. "Where do jobs go when oil prices drop?," Energy Economics, Elsevier, vol. 64(C), pages 469-482.

  14. Rasmus Fatum & Yohei Yamamoto, 2012. "Does foreign exchange intervention volume matter?," Globalization Institute Working Papers 115, Federal Reserve Bank of Dallas.

    Cited by:

    1. Michal Skorepa & Mojmír Hampl, 2014. "Evolution of the Czech National Bank's holdings of foreign exchange reserves," BIS Papers chapters, in: Bank for International Settlements (ed.), The transmission of unconventional monetary policy to the emerging markets, volume 78, pages 159-169, Bank for International Settlements.

  15. Pierre Perron & Yohei Yamamoto, 2011. "A Note on Estimating and Testing for Multiple Structural Changes in Models with Endogenous Regressors via 2SLS," Boston University - Department of Economics - Working Papers Series WP2011-054, Boston University - Department of Economics.

    Cited by:

    1. Badi Baltagi & Qu Feng & Chihwa Kao, 2019. "Structural Changes in Heterogeneous Panels with Endogenous Regressors," Center for Policy Research Working Papers 214, Center for Policy Research, Maxwell School, Syracuse University.
    2. Tatsushi Oka & Pierre Perron, 2016. "Testing for Common Breaks in a Multiple Equations System," Papers 1606.00092, arXiv.org, revised Jan 2018.
    3. Alessandro Casini & Pierre Perron, 2018. "Generalized Laplace Inference in Multiple Change-Points Models," Papers 1803.10871, arXiv.org, revised Jan 2021.
    4. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    5. Pierre Perron & Yohei Yamamoto & Jing Zhou, 2020. "Testing jointly for structural changes in the error variance and coefficients of a linear regression model," Quantitative Economics, Econometric Society, vol. 11(3), pages 1019-1057, July.
    6. Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2018. "Bootstrapping Structural Change Tests," Papers 1811.04125, arXiv.org.
    7. Seong Yeon Chang & Pierre Perron, 2013. "A Comparison of Alternative Methods to Construct Confidence Intervals for the Estimate of a Break Date in Linear Regression Models," Boston University - Department of Economics - Working Papers Series wp2015-010, Boston University - Department of Economics, revised 11 Oct 2015.
    8. KUROZUMI, Eiji & YAMAMOTO, Yohei, 2015. "Confidence Sets for the Break Date Based on Optimal Tests," Discussion Papers 2015-01, Graduate School of Economics, Hitotsubashi University.
    9. Elliott, G & Müller, UK, 2014. "Pre and post break parameter inference," University of California at San Diego, Economics Working Paper Series qt4j733246, Department of Economics, UC San Diego.
    10. Chen, Bin, 2015. "Modeling and testing smooth structural changes with endogenous regressors," Journal of Econometrics, Elsevier, vol. 185(1), pages 196-215.
    11. Fu, Zhonghao & Hong, Yongmiao, 2019. "A model-free consistent test for structural change in regression possibly with endogeneity," Journal of Econometrics, Elsevier, vol. 211(1), pages 206-242.
    12. Ping Yu & Peter C.B. Phillips, 2014. "Threshold Regression with Endogeneity," Cowles Foundation Discussion Papers 1966, Cowles Foundation for Research in Economics, Yale University.
    13. Alessandro Casini & Pierre Perron, 2018. "Continuous Record Asymptotics for Structural Change Models," Papers 1803.10881, arXiv.org, revised Oct 2019.
    14. Akiko Sakanishi, 2020. "Urban commuting behavior and time allocation among women: Evidence from US metropolitan areas," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(2), pages 349-363, April.
    15. Yu, Ping, 2013. "Inconsistency of 2SLS estimators in threshold regression with endogeneity," Economics Letters, Elsevier, vol. 120(3), pages 532-536.
    16. Qian, Junhui & Su, Liangjun, 2014. "Structural change estimation in time series regressions with endogenous variables," Economics Letters, Elsevier, vol. 125(3), pages 415-421.

  16. Pierre Perron & Yohei Yamamoto, 2011. "Estimating and Testing Multiple Structural Changes in Linear Models Using Band Spectral Regressions," Boston University - Department of Economics - Working Papers Series WP2011-049, Boston University - Department of Economics.

    Cited by:

    1. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    2. Seong Yeon Chang & Pierre Perron, 2013. "A Comparison of Alternative Methods to Construct Confidence Intervals for the Estimate of a Break Date in Linear Regression Models," Boston University - Department of Economics - Working Papers Series wp2015-010, Boston University - Department of Economics, revised 11 Oct 2015.
    3. Marie Busch & Philipp Sibbertsen, 2018. "An Overview of Modified Semiparametric Memory Estimation Methods," Econometrics, MDPI, Open Access Journal, vol. 6(1), pages 1-21, March.
    4. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    5. Balakrishnan, Pulapre & Das, Mausumi & Parameswaran, M., 2017. "The internal dynamic of Indian economic growth," Journal of Asian Economics, Elsevier, vol. 50(C), pages 46-61.

  17. Pierre Perron & Yohei Yamamoto, 2011. "Using OLS to Estimate and Test for Structural Changes in Models with Endogenous Regressors," Boston University - Department of Economics - Working Papers Series WP2011-053, Boston University - Department of Economics.

    Cited by:

    1. Yu, Ping, 2015. "Consistency of the least squares estimator in threshold regression with endogeneity," Economics Letters, Elsevier, vol. 131(C), pages 41-46.
    2. Badi Baltagi & Qu Feng & Chihwa Kao, 2019. "Structural Changes in Heterogeneous Panels with Endogenous Regressors," Center for Policy Research Working Papers 214, Center for Policy Research, Maxwell School, Syracuse University.
    3. Tatsushi Oka & Pierre Perron, 2016. "Testing for Common Breaks in a Multiple Equations System," Papers 1606.00092, arXiv.org, revised Jan 2018.
    4. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    5. Rasmus Fatum & Yohei Yamamoto, 2012. "Does Foreign Exchange Intervention Volume Matter?," EPRU Working Paper Series 2012-03, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    6. Pierre Perron & Yohei Yamamoto & Jing Zhou, 2020. "Testing jointly for structural changes in the error variance and coefficients of a linear regression model," Quantitative Economics, Econometric Society, vol. 11(3), pages 1019-1057, July.
    7. Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2018. "Bootstrapping Structural Change Tests," Papers 1811.04125, arXiv.org.
    8. Otilia Boldea & Bettina Drepper & Zhuojiong Gan, 2020. "Change point estimation in panel data with time‐varying individual effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 712-727, September.
    9. Pulapre Balakrishnan & Mausumi Das & M. Parameswaran, 2015. "The Mechanism of Long-Term Growth in India," Working Papers id:6414, eSocialSciences.
    10. Ito, Takatoshi & Yabu, Tomoyoshi, 2020. "Japanese Foreign Exchange Interventions, 1971-2018: Estimating a Reaction Function Using the Best Proxy," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    11. Chen, Bin, 2015. "Modeling and testing smooth structural changes with endogenous regressors," Journal of Econometrics, Elsevier, vol. 185(1), pages 196-215.
    12. Fu, Zhonghao & Hong, Yongmiao, 2019. "A model-free consistent test for structural change in regression possibly with endogeneity," Journal of Econometrics, Elsevier, vol. 211(1), pages 206-242.
    13. Ping Yu & Peter C.B. Phillips, 2014. "Threshold Regression with Endogeneity," Cowles Foundation Discussion Papers 1966, Cowles Foundation for Research in Economics, Yale University.
    14. Yohei Yamamoto & Pierre Perron, 2013. "Estimating and testing multiple structural changes in linear models using band spectral regressions," Econometrics Journal, Royal Economic Society, vol. 16(3), pages 400-429, October.
    15. Michael D. Bordo & Pierre Siklos, 2017. "Central Banks: Evolution and Innovation in Historical Perspective," Economics Working Papers 17105, Hoover Institution, Stanford University.
    16. J. Hoyo & G. Llorente & C. Rivero, 2019. "Testing for Constant Parameters in Nonlinear Models: A Quick Procedure with an Empirical Illustration," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 113-137, June.
    17. Duo Qin & Sophie van H¸llen & Qing-Chao Wang, 2014. "What Happens to Wage Elasticities When We Strip Playometrics? Revisiting Married Women Labour Supply Model," Working Papers 190, Department of Economics, SOAS, University of London, UK.
    18. Edilean Kleber da Silva Bejarano Aragón, 2021. "Specification errors, nonlinearities, and structural breaks in the Central Bank of Brazil’s reaction function," Empirical Economics, Springer, vol. 60(3), pages 1221-1243, March.
    19. Feng, Qu, 2020. "Common factors and common breaks in panels: An empirical investigation," Economics Letters, Elsevier, vol. 187(C).
    20. KUROZUMI, Eiji, 2016. "Monitoring Parameter Constancy with Endogenous Regressors," Discussion Papers 2016-01, Graduate School of Economics, Hitotsubashi University.
    21. Ye Li & Pierre Perron, 2012. "Inference on Locally Ordered Breaks in Multiple Regressions," Boston University - Department of Economics - Working Papers Series wp2015-013, Boston University - Department of Economics, revised 02 Feb 2015.
    22. Pierre Perron & Eduardo Zorita & Eiji Kurozumi, 2017. "Monitoring Parameter Constancy with Endogenous Regressors," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(5), pages 791-805, September.
    23. Balakrishnan, Pulapre & Das, Mausumi & Parameswaran, M., 2017. "The internal dynamic of Indian economic growth," Journal of Asian Economics, Elsevier, vol. 50(C), pages 46-61.
    24. Duo Qin & Sophie Van Huellen & Qing-Chao Wang, 2015. "How Credible Are Shrinking Wage Elasticities of Married Women Labour Supply?," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-31, December.

  18. Pierre Perron & Yohei Yamamoto, 2008. "Estimating and Testing Multiple Structural Changes in Models with Endogenous Regressors," Boston University - Department of Economics - Working Papers Series wp2008-017, Boston University - Department of Economics.

    Cited by:

    1. Pierre Perron & Yohei Yamamoto & Jing Zhou, 2020. "Testing jointly for structural changes in the error variance and coefficients of a linear regression model," Quantitative Economics, Econometric Society, vol. 11(3), pages 1019-1057, July.
    2. Bazán-Palomino, Walter & Rodríguez, Gabriel, 2018. "The New Keynesian framework for a small open economy with structural breaks: Empirical evidence from Peru," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 13-25.
    3. Pierre Perron & Yohei Yamamoto, 2015. "Using OLS to Estimate and Test for Structural Changes in Models with Endogenous Regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 119-144, January.
    4. Hall, Alastair R. & Han, Sanggohn & Boldea, Otilia, 2012. "Inference regarding multiple structural changes in linear models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 170(2), pages 281-302.
    5. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2009. "How Stable Are Monetary Models of the Dollar-Euro Exchange Rate?: A Time-Varying Coefficient Approach," Discussion Papers of DIW Berlin 944, DIW Berlin, German Institute for Economic Research.
    6. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2011. "The dollar-euro exchange rate and macroeconomic fundamentals: a time-varying coefficient approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(1), pages 11-40, April.

  19. Pierre Perron & Yohei Yamamoto, 2008. "On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests," Boston University - Department of Economics - Working Papers Series wp2008-006, Boston University - Department of Economics.

    Cited by:

    1. Yamamoto, Yohei, 2014. "A Modified Confidence Set for the Structural Break Date in Linear Regression Models," Discussion Papers 2014-08, Graduate School of Economics, Hitotsubashi University.
    2. Tatsushi Oka & Pierre Perron, 2016. "Testing for Common Breaks in a Multiple Equations System," Papers 1606.00092, arXiv.org, revised Jan 2018.
    3. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    4. Seong Yeon Chang & Pierre Perron, 2013. "A Comparison of Alternative Methods to Construct Confidence Intervals for the Estimate of a Break Date in Linear Regression Models," Boston University - Department of Economics - Working Papers Series wp2015-010, Boston University - Department of Economics, revised 11 Oct 2015.
    5. YAMAZAKI, Daisuke & KUROZUMI, Eiji, 2014. "Improving the Finite Sample Performance of Tests for a Shift in Mean," Discussion Papers 2014-16, Graduate School of Economics, Hitotsubashi University.
    6. HORIE, Tetsushi & YAMAMOTO, Yohei, 2016. "Testing for Speculative Bubbles in Large-Dimensional Financial Panel Data Sets," Discussion Papers 2016-04, Graduate School of Economics, Hitotsubashi University.
    7. Pierre Perron & Yohei Yamamoto, 2021. "Testing for Changes in Forecasting Performance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 148-165, January.
    8. Yamamoto, Yohei & Tanaka, Shinya, 2015. "Testing for factor loading structural change under common breaks," Journal of Econometrics, Elsevier, vol. 189(1), pages 187-206.

Articles

  1. Pierre Perron & Yohei Yamamoto & Jing Zhou, 2020. "Testing jointly for structural changes in the error variance and coefficients of a linear regression model," Quantitative Economics, Econometric Society, vol. 11(3), pages 1019-1057, July.
    See citations under working paper version above.
  2. Yohei Yamamoto, 2019. "Bootstrap inference for impulse response functions in factor‐augmented vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 247-267, March.
    See citations under working paper version above.
  3. Pierre Perron & Yohei Yamamoto, 2019. "Pitfalls of Two-Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model," Econometrics, MDPI, Open Access Journal, vol. 7(2), pages 1-11, May.
    See citations under working paper version above.
  4. Cheung, Yin-Wong & Fatum, Rasmus & Yamamoto, Yohei, 2019. "The exchange rate effects of macro news after the global Financial Crisis," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 424-443.
    See citations under working paper version above.
  5. Yohei Yamamoto, 2018. "A modified confidence set for the structural break date in linear regression models," Econometric Reviews, Taylor & Francis Journals, vol. 37(9), pages 974-999, October.
    See citations under working paper version above.
  6. Fatum, Rasmus & Yamamoto, Yohei & Zhu, Guozhong, 2017. "Is the Renminbi a safe haven?," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 189-202.
    See citations under working paper version above.
  7. Yohei Yamamoto, 2016. "Forecasting With Nonspurious Factors in U.S. Macroeconomic Time Series," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 81-106, January.
    See citations under working paper version above.
  8. Fatum, Rasmus & Yamamoto, Yohei, 2016. "Intra-safe haven currency behavior during the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 66(C), pages 49-64.

    Cited by:

    1. Fatum, Rasmus & Yamamoto, Yohei & Zhu, Guozhong, 2017. "Is the Renminbi a safe haven?," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 189-202.
    2. Yamani, Ehab, 2019. "Diversification role of currency momentum for carry trade: Evidence from financial crises," Journal of Multinational Financial Management, Elsevier, vol. 49(C), pages 1-19.
    3. Yin-Wong Cheung & Cho-Hoi Hui & Andrew Tsang, 2017. "The RMB Central Parity Formation Mechanism after August 2015: A Statistical Analysis," Working Papers 062017, Hong Kong Institute for Monetary Research.
    4. Fatum, Rasmus & Hattori, Takahiro & Yamamoto, Yohei, 2020. "Reserves and Risk : Evidence from China," Discussion paper series HIAS-E-98, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    5. Urquhart, Andrew & Zhang, Hanxiong, 2019. "Is Bitcoin a hedge or safe haven for currencies? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 49-57.
    6. Ben Omrane, Walid & Savaser, Tanseli & Welch, Robert & Zhou, Xinyao, 2019. "Time-varying effects of macroeconomic news on euro-dollar returns," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    7. Tachibana, Minoru, 2018. "Safe-haven and hedge currencies for the US, UK, and Euro area stock markets: A copula-based approach," Global Finance Journal, Elsevier, vol. 35(C), pages 82-96.
    8. Adrian Jäggi & Martin Schlegel & Attilio Zanetti, 2019. "Macroeconomic surprises, market environment, and safe-haven currencies," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-21, December.
    9. Minoru Tachibana, 2020. "Flight-to-quality in the stock–bond return relation: a regime-switching copula approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(4), pages 429-470, December.
    10. Dao, Thong M. & McGroarty, Frank & Urquhart, Andrew, 2019. "The Brexit vote and currency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 153-164.
    11. Harris, Richard D.F. & Shen, Jian, 2017. "The intrinsic value of gold: An exchange rate-free price index," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 203-217.
    12. HORIE, Tetsushi & YAMAMOTO, Yohei, 2016. "Testing for Speculative Bubbles in Large-Dimensional Financial Panel Data Sets," Discussion Papers 2016-04, Graduate School of Economics, Hitotsubashi University.
    13. Cheung, Yin-Wong & Hui, Cho-Hoi & Tsang, Andrew, 2017. "The Renminbi central parity : An empirical investigation," BOFIT Discussion Papers 7/2017, Bank of Finland, Institute for Economies in Transition.
    14. Fabian Fink & Lukas Frei & Oliver Gloede, 2020. "Short-term determinants of bilateral exchange rates: A decomposition model for the Swiss franc," Working Papers 2020-21, Swiss National Bank.
    15. Alam, Md. Samsul & Shahzad, Syed Jawad Hussain & Ferrer, Román, 2019. "Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility," Energy Economics, Elsevier, vol. 84(C).
    16. Yin-Wong Cheung & Cho-Hoi Hui & Andrew Tsang, 2018. "The RMB Central Parity Formation Mechanism: August 2015 to December 2016," GRU Working Paper Series GRU_2018_010, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    17. Charles Engel & Steve Pak Yeung Wu, 2018. "Liquidity and Exchange Rates: An Empirical Investigation," NBER Working Papers 25397, National Bureau of Economic Research, Inc.
    18. Baumöhl, Eduard, 2018. "Are cryptocurrencies connected to forex? A quantile cross-spectral approach," EconStor Preprints 174884, ZBW - Leibniz Information Centre for Economics.
    19. Bouri, Elie & Hussain Shahzad, Syed Jawad & Roubaud, David, 2020. "Cryptocurrencies as hedges and safe-havens for US equity sectors," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 294-307.
    20. Lee, Hsiu-Chuan & Lee, Yun-Huan & Lu, Yang-Cheng & Wang, Yu-Chun, 2020. "States of psychological anchors and price behavior of Japanese yen futures," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    21. Linda S. Goldberg & Signe Krogstrup, 2018. "International capital flow pressures," Staff Reports 834, Federal Reserve Bank of New York.
    22. Adnen Ben Nasr & Matteo Bonato & Riza Demirer & Rangan Gupta, 2018. "Investor Sentiment and Crash Risk in Safe Havens," Working Papers 201804, University of Pretoria, Department of Economics.
    23. Tachibana, Minoru, 2018. "Relationship between stock and currency markets conditional on the US stock returns: A vine copula approach," Journal of Multinational Financial Management, Elsevier, vol. 46(C), pages 75-106.
    24. MASUJIMA Yuki, 2017. "Safe Haven Currency and Market Uncertainty: Yen, renminbi, dollar, and alternatives," Discussion papers 17048, Research Institute of Economy, Trade and Industry (RIETI).
    25. Afees A. Salisu & Juncal Cunado & Rangan Gupta, 2020. "Geopolitical Risks and Historical Exchange Rate Volatility of the BRICS," Working Papers 2020105, University of Pretoria, Department of Economics.
    26. Beckmann, J & Koop, G & Korobilis, D & Schüssler, R, 2017. "Exchange rate predictability and dynamic Bayesian learning," Essex Finance Centre Working Papers 20781, University of Essex, Essex Business School.
    27. Yamani, Ehab, 2021. "Foreign exchange market efficiency and the global financial crisis: Fundamental versus technical information," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 74-89.
    28. Výrost, Tomas & Lyócsa, Štefan & Baumöhl, Eduard, 2019. "Network-based asset allocation strategies," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 516-536.
    29. Cho, Dooyeon & Han, Heejoon, 2021. "The tail behavior of safe haven currencies: A cross-quantilogram analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    30. Ben Omrane, Walid & Savaşer, Tanseli, 2017. "Exchange rate volatility response to macroeconomic news during the global financial crisis," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 130-143.

  9. Pierre Perron & Yohei Yamamoto, 2016. "On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 782-844, May.
    See citations under working paper version above.
  10. Eiji Kurozumi & Yohei Yamamoto, 2015. "Confidence sets for the break date based on optimal tests," Econometrics Journal, Royal Economic Society, vol. 18(3), pages 412-435, October.
    See citations under working paper version above.
  11. Yamamoto, Yohei & Tanaka, Shinya, 2015. "Testing for factor loading structural change under common breaks," Journal of Econometrics, Elsevier, vol. 189(1), pages 187-206.
    See citations under working paper version above.
  12. Pierre Perron & Yohei Yamamoto, 2015. "Using OLS to Estimate and Test for Structural Changes in Models with Endogenous Regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 119-144, January. See citations under working paper version above.
  13. Fatum, Rasmus & Yamamoto, Yohei, 2014. "Large versus small foreign exchange interventions," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 114-123.

    Cited by:

    1. Marcel Fratzscher & Oliver Gloede & Lukas Menkhoff & Lucio Sarno & Tobias Stöhr, 2019. "When Is Foreign Exchange Intervention Effective? Evidence from 33 Countries," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(1), pages 132-156, January.
    2. Ito, Takatoshi & Yabu, Tomoyoshi, 2020. "Japanese Foreign Exchange Interventions, 1971-2018: Estimating a Reaction Function Using the Best Proxy," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    3. Steiner, Andreas, 2017. "Central banks and macroeconomic policy choices: Relaxing the trilemma," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 283-299.
    4. Kitamura, Yoshihiro, 2017. "A stopping time approach to assessing the effectiveness of foreign exchange intervention: An application to Japanese data," Journal of International Money and Finance, Elsevier, vol. 75(C), pages 32-46.
    5. Kitamura, Yoshihiro, 2020. "A lesson from the four recent large public Japanese FX interventions," Journal of the Japanese and International Economies, Elsevier, vol. 57(C).
    6. Viziniuc, Mădălin, 2021. "Winners and losers of central bank foreign exchange interventions," Economic Modelling, Elsevier, vol. 94(C), pages 748-767.
    7. Pontines, Victor, 2018. "Self-selection and treatment effects: Revisiting the effectiveness of foreign exchange intervention," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 299-316.
    8. Joscha Beckmann & Michael Kühl, 2017. "The Role for Long-run Target Values of the Exchange Rate in the Bank of Japan's Policy Reaction Function," The World Economy, Wiley Blackwell, vol. 40(9), pages 1836-1865, September.

  14. Perron, Pierre & Yamamoto, Yohei, 2014. "A Note On Estimating And Testing For Multiple Structural Changes In Models With Endogenous Regressors Via 2sls," Econometric Theory, Cambridge University Press, vol. 30(2), pages 491-507, April. See citations under working paper version above.
  15. Yohei Yamamoto & Pierre Perron, 2013. "Estimating and testing multiple structural changes in linear models using band spectral regressions," Econometrics Journal, Royal Economic Society, vol. 16(3), pages 400-429, October.
    See citations under working paper version above.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 31 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (14) 2009-06-10 2009-06-10 2013-03-16 2013-04-06 2013-12-29 2014-06-14 2015-02-05 2015-07-11 2016-06-18 2016-07-02 2018-06-11 2018-08-27 2019-05-20 2019-05-20. Author is listed
  2. NEP-ETS: Econometric Time Series (10) 2009-06-10 2009-06-10 2013-04-06 2014-06-14 2015-02-05 2016-06-18 2019-02-18 2019-05-20 2019-05-20 2019-09-23. Author is listed
  3. NEP-MON: Monetary Economics (10) 2012-06-13 2012-07-14 2013-03-16 2017-02-05 2017-03-12 2018-03-05 2019-03-11 2019-04-15 2019-07-15 2019-07-15. Author is listed
  4. NEP-ORE: Operations Research (10) 2015-02-05 2015-07-11 2016-06-18 2018-06-11 2018-08-27 2019-02-18 2019-05-20 2019-05-20 2020-06-22 2020-06-22. Author is listed
  5. NEP-MAC: Macroeconomics (5) 2012-07-14 2013-04-06 2019-03-11 2019-04-15 2019-07-15. Author is listed
  6. NEP-CNA: China (3) 2020-06-15 2020-07-20 2020-07-27
  7. NEP-FOR: Forecasting (3) 2013-04-06 2018-06-11 2019-02-18
  8. NEP-IAS: Insurance Economics (3) 2020-06-15 2020-07-20 2020-07-27
  9. NEP-IFN: International Finance (3) 2012-06-13 2012-07-14 2016-07-02
  10. NEP-BEC: Business Economics (2) 2019-05-20 2019-05-20
  11. NEP-MST: Market Microstructure (2) 2017-03-12 2019-07-15
  12. NEP-CBA: Central Banking (1) 2019-04-15
  13. NEP-EEC: European Economics (1) 2019-03-11
  14. NEP-INT: International Trade (1) 2018-08-27
  15. NEP-RMG: Risk Management (1) 2018-06-11

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