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Jouchi Nakajima

Citations

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Working papers

  1. Harrison, Michael & Nakajima, Jouchi & Shabani, Mimoza, 2022. "An evolution of global and regional banking networks: A focus on Japanese banks’ international expansion," Discussion paper series HIAS-E-120, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.

    Cited by:

    1. Mikhail Stolbov & Daniil Parfenov, 2023. "Credit risk linkages in the international banking network, 2000–2019," Risk Management, Palgrave Macmillan, vol. 25(3), pages 1-38, September.

  2. Jouchi Nakajima & Hiroaki Yamagata & Tatsushi Okuda & Shinnosuke Katsuki & Takeshi Shinohara, 2021. "Extracting Firms' Short-Term Inflation Expectations from the Economy Watchers Survey Using Text Analysis," Bank of Japan Working Paper Series 21-E-12, Bank of Japan.

    Cited by:

    1. NAKAJIMA, Jouchi, 2023. "Estimation of firms' inflation expectations using the survey DI," Discussion Paper Series 749, Institute of Economic Research, Hitotsubashi University.
    2. Masahiro Suzuki & Hiroki Sakaji, 2024. "Refined and Segmented Price Sentiment Indices from Survey Comments," Papers 2411.09937, arXiv.org, revised Nov 2024.
    3. Olivier de Bandt & Jean-Charles Bricongne & Julien Denes & Alexandre Dhenin & Annabelle De Gaye & Pierre-Antoine Robert, 2023. "Using the Press to Construct a New Indicator of Inflation Perceptions in France," Working papers 921, Banque de France.

  3. Takuji Kawamoto & Takashi Nakazawa & Yui Kishaba & Kohei Matsumura & Jouchi Nakajima, 2021. "Supplementary Paper Series for the "Assessment" (2): Estimating Effects of Expansionary Monetary Policy since the Introduction of Quantitative and Qualitative Monetary Easing (QQE) Using the Macroeconomic Model (Q-JEM)," Bank of Japan Working Paper Series 21-E-4, Bank of Japan.

    Cited by:

    1. Athanasios Orphanides, 2021. "The Power of Central Bank Balance Sheets," IMES Discussion Paper Series 21-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
    2. Takuji Kawamoto & Jouchi Nakajima & Tomoaki Mikami, 2021. "Supplementary Paper Series for the "Assessment" (3): Inflation-Overshooting Commitment:An Analysis Using a Macroeconomic Model," Bank of Japan Working Paper Series 21-E-9, Bank of Japan.
    3. Boris Hofmann & Marco Jacopo Lombardi & Benoit Mojon & Athanasios Orphanides, 2021. "Fiscal and monetary policy interactions in a low interest rate world," BIS Working Papers 954, Bank for International Settlements.
    4. Nobuhiro Abe & Naohisa Hirakata & Yuto Ishikuro & Yosuke Koike & Yuki Konaka & Yutaro Takano, 2024. "Counterfactual Simulation of the Effect of Large-Scale Monetary Easing on Japan's Financial System," Bank of Japan Working Paper Series 24-E-8, Bank of Japan.
    5. Allen, David & Mizuno, Hiro, 2021. "Monetary Policies, US influence and other Factors Affecting Stock Prices in Japan," MPRA Paper 111734, University Library of Munich, Germany.
    6. Richard Finlay & Dmitry Titkov & Michelle Xiang, 2022. "The Yield and Market Function Effects of the Reserve Bank of Australia's Bond Purchases," RBA Research Discussion Papers rdp2022-02, Reserve Bank of Australia.

  4. Takeshi Shinohara & Tatsushi Okuda & Jouchi Nakajima, 2020. "Characteristics of Uncertainty Indices in the Macroeconomy," Bank of Japan Working Paper Series 20-E-6, Bank of Japan.

    Cited by:

    1. Cosmas Dery & Apostolos Serletis, 2021. "Disentangling the Effects of Uncertainty, Monetary Policy and Leverage Shocks on the Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1029-1065, October.
    2. Nakajima, Jouchi, 2022. "Macroeconomic uncertainty matters: A nonlinear effect of financial volatility on real economic activity," Discussion paper series HIAS-E-121, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    3. Honda, Tomohito & Uesugi, Iichiro, 2021. "COVID-19 and Precautionary Corporate Cash Holdings: Evidence from Japan," RCESR Discussion Paper Series DP21-2, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    4. Bontempi, Maria Elena & Charemza, Wojciech & Makarova, Svetlana, 2025. "Economic uncertainty measures, experts and large language models," Journal of International Money and Finance, Elsevier, vol. 157(C).

  5. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.

    Cited by:

    1. Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1820-1838.
    2. Knüppel, Malte & Krüger, Fabian & Pohle, Marc-Oliver, 2022. "Score-based calibration testing for multivariate forecast distributions," Discussion Papers 50/2022, Deutsche Bundesbank.
    3. Pantelis Samartsidis & Shaun R. Seaman & Silvia Montagna & André Charlett & Matthew Hickman & Daniela De Angelis, 2020. "A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1437-1459, October.
    4. van Dijk Herman K., 2024. "Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 155-176, April.
    5. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    6. Kenichiro McAlinn & Kosaku Takanashi, 2019. "Mean-shift least squares model averaging," Papers 1912.01194, arXiv.org.
    7. Deniz Igan & Thomas Lambert & Prachi Mishra & Eden Zhang, 2024. "The Politics of the Paycheck Protection Program," Working Papers 133, Ashoka University, Department of Economics.
    8. Knut Are Aastveit & Jamie Cross & Herman K. Djik, 2021. "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Working Papers No 03/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
    10. Kenichiro McAlinn, 2021. "Mixed‐frequency Bayesian predictive synthesis for economic nowcasting," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1143-1163, November.
    11. Urmat Dzhunkeev, 2025. "MOSES: Macroeconomic Forecasting with Models and Sentiment Synthesis," Russian Journal of Money and Finance, Bank of Russia, vol. 84(4), pages 63-84, December.
    12. Matthew C. Johnson & Matteo Luciani & Minzhengxiong Zhang & Kenichiro McAlinn, 2026. "Predictive Synthesis under Sporadic Participation: Evidence from Inflation Density Surveys," Papers 2602.05226, arXiv.org.
    13. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    14. Wang, Shengjie & Kang, Yanfei & Petropoulos, Fotios, 2024. "Combining probabilistic forecasts of intermittent demand," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1038-1048.
    15. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    16. Jin, Xin & Maheu, John M. & Yang, Qiao, 2022. "Infinite Markov pooling of predictive distributions," Journal of Econometrics, Elsevier, vol. 228(2), pages 302-321.
    17. Bruno P. C. Levy & Hedibert F. Lopes, 2021. "Dynamic Ordering Learning in Multivariate Forecasting," Papers 2101.04164, arXiv.org, revised Nov 2021.
    18. Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2023. "A flexible predictive density combination for large financial data sets in regular and crisis periods," Journal of Econometrics, Elsevier, vol. 237(2).
    19. Pietro Giorgio Lovaglio, 2025. "Cross‐Learning With Panel Data Modeling for Stacking and Forecast Time Series Employment in Europe," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 753-780, March.
    20. NAKAJIMA, Jouchi, 2025. "Time-varying Local Projections with Stochastic Volatility," Discussion Paper Series 761, Institute of Economic Research, Hitotsubashi University.
    21. K=osaku Takanashi & Kenichiro McAlinn, 2019. "Equivariant online predictions of non-stationary time series," Papers 1911.08662, arXiv.org, revised Jun 2023.
    22. Emily Tallman & Mike West, 2024. "Predictive Decision Synthesis for Portfolios: Betting on Better Models," Papers 2405.01598, arXiv.org.
    23. Martin, Gael M. & Loaiza-Maya, Rubén & Maneesoonthorn, Worapree & Frazier, David T. & Ramírez-Hassan, Andrés, 2022. "Optimal probabilistic forecasts: When do they work?," International Journal of Forecasting, Elsevier, vol. 38(1), pages 384-406.
    24. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    25. Zheng Fan & Worapree Maneesoonthorn & Yong Song, 2025. "A New Perspective of the Meese-Rogoff Puzzle: Application of Sparse Dynamic Shrinkage," Papers 2507.14408, arXiv.org.
    26. Masahiro Kato & Kentaro Baba & Hibiki Kaibuchi & Ryo Inokuchi, 2025. "Bayesian Portfolio Optimization by Predictive Synthesis," Papers 2510.07180, arXiv.org.
    27. Mike West, 2020. "Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 1-31, February.
    28. Yolanda S. Stander, 2023. "The Governance and Disclosure of IFRS 9 Economic Scenarios," JRFM, MDPI, vol. 16(1), pages 1-27, January.
    29. Tony Chernis, 2023. "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers 23-45, Bank of Canada.
    30. Paolo Berta & Paolo Paruolo & Stefano Verzillo & Pietro Giorgio Lovaglio, 2020. "A bivariate prediction approach for adapting the health care system response to the spread of COVID-19," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
    31. Bernaciak, Dawid & Griffin, Jim E., 2024. "A loss discounting framework for model averaging and selection in time series models," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1721-1733.

  6. Andrew Filardo & Jouchi Nakajima, 2018. "Effectiveness of unconventional monetary policies in a low interest rate environment," BIS Working Papers 691, Bank for International Settlements.

    Cited by:

    1. Michaelis, Henrike, 2024. "Changes in the euro area interest rate pass-through," Discussion Papers 21/2024, Deutsche Bundesbank.
    2. Pagliari, Maria Sole, 2024. "Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies," European Economic Review, Elsevier, vol. 168(C).
    3. Grahame Johnson & Sharon Kozicki & Romanos Priftis & Lena Suchanek & Jonathan Witmer & Jing Yang, 2020. "Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature," Discussion Papers 2020-16, Bank of Canada.
    4. Dimitris G. Kirikos, 2024. "Quantitative easing effectiveness: Evidence from Euro private assets," Bulletin of Economic Research, Wiley Blackwell, vol. 76(2), pages 354-370, April.
    5. Halyna Alekseievska & Anzor Mumladze, 2020. "Quantitative Easing As The Main Instrument Of Unconventional Monetary Policy," Three Seas Economic Journal, Publishing house "Baltija Publishing", vol. 1(1).
    6. Andrea De Polis & Mario Pietrunti, 2019. "Exchange rate dynamics and unconventional monetary policies: it�s all in the shadows," Temi di discussione (Economic working papers) 1231, Bank of Italy, Economic Research and International Relations Area.
    7. Stéphane Lhuissier & Benoit Mojon & Juan Rubio-Ramírez, 2020. "Does the liquidity trap exist?," BIS Working Papers 855, Bank for International Settlements.
    8. Filardo, Andrew J. & Siklos, Pierre L., 2020. "The cross-border credit channel and lending standards surveys," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    9. Pierre L Siklos & Dora Xia & Hongyi Chen, 2025. "R* in East Asia: business, financial cycles, and spillovers," BIS Working Papers 1285, Bank for International Settlements.
    10. Kirikos, Dimitris G., 2020. "Quantitative easing impotence in the liquidity trap: Further evidence," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 151-162.
    11. Jančoková, Martina & Pástor, Ľuboš & Fabo, Brian & Kempf, Elisabeth, 2021. "Fifty shades of QE: comparing findings of central bankers and academics," Working Paper Series 2584, European Central Bank.
    12. Brand, Claus & Bielecki, Marcin & Penalver, Adrian, 2018. "The natural rate of interest: estimates, drivers, and challenges to monetary policy JEL Classification: E52, E43," Occasional Paper Series 217, European Central Bank.

  7. Jouchi Nakajima, 2018. "The role of household debt heterogeneity on consumption: Evidence from Japanese household data," BIS Working Papers 736, Bank for International Settlements.

    Cited by:

    1. Deng, Xin & Yu, Mingzhe, 2021. "Does the marginal child increase household debt? – Evidence from the new fertility policy in China," International Review of Financial Analysis, Elsevier, vol. 77(C).
    2. Long, Teng & Feng, Liyu, 2024. "Aging, low fertility and household debt risk," International Review of Economics & Finance, Elsevier, vol. 95(C).
    3. Mr. Fei Han & Ms. Emilia M Jurzyk & Wei Guo & Yun He & Ms. Nadia Rendak, 2019. "Assessing Macro-Financial Risks of Household Debt in China," IMF Working Papers 2019/258, International Monetary Fund.
    4. Sarah Chan, 2020. "China’s Rising Household Debt: A New Debt Trap?," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 567-578, December.
    5. Maiko Koga & Kohei Matsumura, "undated". "Marginal Propensity to Consume and the Housing Choice," Bank of Japan Working Paper Series 20-E-3, Bank of Japan.
    6. Kassouri, Yacouba & Alola, Andrew Adewale & Savaş, Savaş, 2021. "The dynamics of material consumption in phases of the economic cycle for selected emerging countries," Resources Policy, Elsevier, vol. 70(C).
    7. Sala, Hector & Trivin, Pedro, 2024. "Household finances, debt overhang and consumption patterns," Economic Modelling, Elsevier, vol. 139(C).
    8. Jieun Lee & Ilhyock Shim, 2026. "Lending to vulnerable households and consumption: evidence from Korea," BIS Working Papers 1331, Bank for International Settlements.
    9. Zhang, Dongyang & Guo, Rui, 2020. "The consumption response to household leverage in China: The role of investment at household level," International Review of Financial Analysis, Elsevier, vol. 71(C).
    10. R. Basselier & G. Minne & G. Langenus, 2019. "Why has Belgian private consumption growth been so moderate in recent years?," Economic Review, National Bank of Belgium, issue i, pages 51-67, June.
    11. Sala, Hector & Trivín, Pedro, 2022. "Family Finances and Debt Overhang: Evolving Consumption Patterns of Spanish Households," IZA Discussion Papers 15222, IZA Network @ LISER.
    12. Yunchao, Cai & Abdullah Yusof, Selamah & Mohd Amin, Ruzita & Mohd Arshad, Mohd Nahar, 2020. "Household Debt and Household Spending Behavior: Evidence from Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(1), pages 111-120.

  8. Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2018. "The Role of Corporate Governance in Japanese Unlisted Companies," CIRJE F-Series CIRJE-F-1081, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Kojima Koji & Bishnu Kumar Adhikary & Le Tram, 2020. "Corporate Governance and Firm Performance: A Comparative Analysis between Listed Family and Non-Family Firms in Japan," JRFM, MDPI, vol. 13(9), pages 1-20, September.
    2. Ueda, Kenichi & Ishide, Akira & Goto, Yasuo, 2019. "Listing and financial constraints," Japan and the World Economy, Elsevier, vol. 49(C), pages 1-16.
    3. Blind, Georg D. & Lottanti von Mandach, Stefania, 2021. "Private Equity Buyouts in Japan: Effects on Employment Numbers," Journal of the Japanese and International Economies, Elsevier, vol. 59(C).
    4. Tomeczek, Artur F., 2022. "The evolution of Japanese keiretsu networks: A review and text network analysis of their perceptions in economics," Japan and the World Economy, Elsevier, vol. 62(C).
    5. Fukuda, Akira, 2020. "The Effects of M&A on Corporate Performance in Japan:DID Analysis in the Era of Corporate Governance Reform," Japan and the World Economy, Elsevier, vol. 55(C).
    6. Kodama, Naomi & Murakami, Yoshiaki & Tanaka, Mari, 2021. "No Successor, No Success? Impact of a Little Son on Business Performance," Journal of the Japanese and International Economies, Elsevier, vol. 62(C).
    7. HANNAH, Leslie, 2018. "Corporate Governance, Accounting Transparency and Stock Exchange Sizes in Germany, Japan and “Anglo-Saxon” Economies, 1870-1950," Discussion paper series HIAS-E-77, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    8. Ohk, Seungbin & Ju, Biung-Ghi, 2021. "Capitalizing on prospect theory value: The Asian developed stock markets," Japan and the World Economy, Elsevier, vol. 57(C).

  9. Takuji Fueki & Hiroka Higashi & Naoto Higashio & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2018. "Identifying oil price shocks and their consequences: the role of expectations in the crude oil market," BIS Working Papers 725, Bank for International Settlements.

    Cited by:

    1. Peter Y. Jang & Mario G. Beruvides, 2020. "Time-Varying Influences of Oil-Producing Countries on Global Oil Price," Energies, MDPI, vol. 13(6), pages 1-22, March.
    2. Pacelli, Vincenzo & Di Tommaso, Caterina & Foglia, Matteo & Povia, Maria Melania, 2025. "Spillover effects between energy uncertainty and financial risk in the Eurozone banking sector," Energy Economics, Elsevier, vol. 141(C).
    3. Omotosho, Babatunde S., 2020. "Oil price shocks, fuel subsidies and macroeconomic (in)stability in Nigeria," MPRA Paper 105464, University Library of Munich, Germany.
    4. De, Kuhelika & Compton, Ryan A. & Giedeman, Daniel C., 2022. "Oil shocks and the U.S. economy in a data-rich model," Economic Modelling, Elsevier, vol. 108(C).
    5. Krzysztof Echaust & Małgorzata Just, 2021. "Tail Dependence between Crude Oil Volatility Index and WTI Oil Price Movements during the COVID-19 Pandemic," Energies, MDPI, vol. 14(14), pages 1-21, July.
    6. Drachal, Krzysztof, 2021. "Forecasting crude oil real prices with averaging time-varying VAR models," Resources Policy, Elsevier, vol. 74(C).
    7. Gkillas, Konstantinos & Manickavasagam, Jeevananthan & Visalakshmi, S., 2022. "Effects of fundamentals, geopolitical risk and expectations factors on crude oil prices," Resources Policy, Elsevier, vol. 78(C).
    8. Umechukwu, Chisom & Olayungbo, D.O., 2022. "US oil supply shocks and economies of oil-exporting African countries: A GVAR-Oil Resource Analysis," Resources Policy, Elsevier, vol. 75(C).
    9. Mo, Bin & Zeng, Haiyu & Meng, Juan & Ding, Shaokai, 2024. "The connectedness between uncertainty and exchange rates of oil import countries: new evidence from time and frequency perspective," Resources Policy, Elsevier, vol. 88(C).
    10. Yao Axel Ehouman, 2020. "Do oil-market shocks drive global liquidity?," EconomiX Working Papers 2020-33, University of Paris Nanterre, EconomiX.
    11. Andrew Filardo & Jacopo Lombardi & Carlos Montoro, 2018. "Monetary policy spillovers, global commodity prices and cooperation," BIS Working Papers 696, Bank for International Settlements.
    12. Tii N. Nchofoung, 2023. "Oil price shocks and energy transition in Africa," Working Papers of the African Governance and Development Institute. 23/064, African Governance and Development Institute..
    13. Nathan Sussman & Osnat Zohar, 2018. "Has inflation targeting become less credible?," BIS Working Papers 729, Bank for International Settlements.
    14. Sakib Bin Amin & Noshin Nawal Audry & Ahmed Farah Ulfat, 2021. "The Nexus Between Oil Price Shock and the Exchange Rate in Bangladesh," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 427-435.
    15. Considine, Jennifer & Hatipoglu, Emre & Aldayel, Abdullah, 2022. "The sensitivity of oil price shocks to preexisting market conditions: A GVAR analysis," Journal of Commodity Markets, Elsevier, vol. 27(C).
    16. Piersanti, Giovanni & Piersanti, Mirko & Cicone, Antonio & Canofari, Paolo & Di Domizio, Marco, 2020. "An inquiry into the structure and dynamics of crude oil price using the fast iterative filtering algorithm," Energy Economics, Elsevier, vol. 92(C).
    17. Jiménez-Rodríguez, Rebeca, 2022. "Oil shocks and global economy," Energy Economics, Elsevier, vol. 115(C).
    18. Emanuel Kohlscheen & Aaron Mehrotra & Dubravko Mihaljek, 2018. "Residential investment and economic activity: evidence from the past five decades," BIS Working Papers 726, Bank for International Settlements.
    19. Nchofoung, Tii N., 2024. "Oil price shocks and energy transition in Africa," Energy Policy, Elsevier, vol. 184(C).
    20. Henry Egbezien Inegbedion & Emmanuel Inegbedion & Eseosa Obadiaru & Abiola Asaleye, 2020. "Petroleum Subsidy Withdrawal, Fuel Price Hikes and the Nigerian Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 258-265.
    21. Even Comfort Hvinden, 2019. "OPEC's crude game," Working Papers No 10/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

  10. Takuji Fueki & Hiroka Higashi & Naoto Higashio & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2016. "Identifying Oil Price Shocks and Their Consequences:Role of Expectations and Financial Factors in the Crude Oil Market," Bank of Japan Working Paper Series 16-E-17, Bank of Japan.

    Cited by:

    1. Antonio J. Garz n & Luis . Hierro, 2018. "Fracking, Wars and Stock Market Crashes: The Price of Oil During the Great Recession," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 20-30.
    2. Neville Francis & Sergio Restrepo-Angel, 2018. "Sectoral and aggregate response to oil price shocks in the Colombian economy: SVAR and Local Projections approach," Borradores de Economia 1055, Banco de la Republica de Colombia.
    3. Babak Fazelabdolabadi, 2019. "Uncertainty and energy-sector equity returns in Iran: a Bayesian and quasi-Monte Carlo time-varying analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-20, December.

  11. Jouchi Nakajima & Kosuke Takatomi & Tomoko Mori & Shinsuke Ohyama, 2016. "Slow Trade: Structural and Cyclical Factors in Global Trade Slowdown," Bank of Japan Research Papers 16-12-22, Bank of Japan.

    Cited by:

    1. Ayako Obashi & Fukunari Kimura, 2018. "Are Production Networks Passé in East Asia? Not Yet," Asian Economic Papers, MIT Press, vol. 17(3), pages 86-107, Fall.
    2. Xuefeng Qian & Zhao Liu & Ying Pan, 2017. "China's Trade Slowdown: Cyclical or Structural?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 25(6), pages 65-83, November.
    3. Marcato, Marilia Bassetti & Dweck, Esther & Montanha, Rafael, 2022. "The densification of Chinese production chains in the context of vertically fragmented production," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 75-89.
    4. Mari Pangestu & Lili Yan Ing & Gracia Hadiwidjaja, 2018. "The Future of East Asia’s Trade: A Call for Better Globalization," Asian Economic Policy Review, Japan Center for Economic Research, vol. 13(2), pages 219-238, July.

  12. Koichiro Kamada & Jouchi Nakajima & Shusaku Nishiguchi, 2015. "Are Household Inflation Expectations Anchored in Japan?," Bank of Japan Working Paper Series 15-E-8, Bank of Japan.

    Cited by:

    1. Hattori, Masazumi & Yetman, James, 2017. "The evolution of inflation expectations in Japan," CIS Discussion paper series 662, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    2. Sohei Kaihatsu & Noriyuki Shiraki, 2016. "Firms' Inflation Expectations and Wage-setting Behaviors," Bank of Japan Working Paper Series 16-E-10, Bank of Japan.
    3. Mr. Gee Hee Hong & Rahul Anand & Yaroslav Hul, 2019. "Achieving the Bank of Japan’s Inflation Target," IMF Working Papers 2019/229, International Monetary Fund.
    4. Siklos, Pierre, 2017. "What Has Publishing Inflation Forecasts Accomplished? Central Banks And Their Competitors," LCERPA Working Papers 0098, Laurier Centre for Economic Research and Policy Analysis, revised 01 Apr 2017.
    5. Murasawa, Yasutomo, 2017. "Measuring the Distributions of Public Inflation Perceptions and Expectations in the UK," MPRA Paper 76244, University Library of Munich, Germany.
    6. Fructuoso Borrallo Egea & Pedro del Río López, 2021. "Monetary policy strategy and inflation in Japan," Occasional Papers 2116, Banco de España.
    7. Ichiro Fukunaga & Yui Kishaba & Nao Shibata & Shunichi Yoneyama, 2025. "Uncertainty in the Formation of Inflation Expectations in Japan: An Analysis Using the Macroeconomic Model Q-JEM," Bank of Japan Working Paper Series 25-E-3, Bank of Japan.
    8. Mototsugu Shintani & Naoto Soma, 2020. "The Effects of QQE on Long-run Inflation Expectations in Japan," CARF F-Series CARF-F-494, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    9. Takatoshi Ito, 2021. "An Assessment of Abenomics: Evolution and Achievements," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(2), pages 190-219, July.
    10. Yasutomo Murasawa, 2020. "Measuring public inflation perceptions and expectations in the UK," Empirical Economics, Springer, vol. 59(1), pages 315-344, July.
    11. James Yetman, 2022. "What's Up with Inflation Expectations?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(1), pages 136-140, March.
    12. Yusuke Takahashi & Yoichiro Tamanyu, 2022. "Households' Perceived Inflation and CPI Inflation: the Case of Japan," Bank of Japan Working Paper Series 22-E-1, Bank of Japan.
    13. Fructuoso Borrallo Egea & Pedro del Río López, 2021. "Estrategia de política monetaria e inflación en Japón," Occasional Papers 2116, Banco de España.
    14. Yuichiro Ito & Sohei Kaihatsu, 2016. "Effects of Inflation and Wage Expectations on Consumer Spending: Evidence from Micro Data," Bank of Japan Working Paper Series 16-E-7, Bank of Japan.
    15. Coibion, Olivier & Gorodnichenko, Yuriy & Kumar, Saten & Pedemonte, Mathieu, 2020. "Inflation expectations as a policy tool?," Journal of International Economics, Elsevier, vol. 124(C).
    16. Gunji, Hiroshi, 2024. "Impact of the Kuroda Bazooka on Japanese households’ borrowing intentions," Japan and the World Economy, Elsevier, vol. 69(C).
    17. Nam, Minho & Go, Minji, 2018. "Nexus between Inflation, Inflation Perceptions and Expectations," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 40(3), pages 45-68.
    18. Go Fujii & Shogo Nakano & Kosuke Takatomi, 2025. "Households' Medium- to Long-Term Inflation Expectations Formation: The Role of Past Experience and Inflation Regimes," Bank of Japan Working Paper Series 25-E-6, Bank of Japan.
    19. Tomiyuki Kitamura & Masaki Tanaka, 2019. "Firms' Inflation Expectations under Rational Inattention and Sticky Information: An Analysis with a Small-Scale Macroeconomic Model," Bank of Japan Working Paper Series 19-E-16, Bank of Japan.
    20. Evelyne Dourille-Feer, 2015. "Can the magic of Abenomics succeed?," Working Papers 2015-24, CEPII research center.

  13. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Cathy W.S. Chen & Toshiaki Watanabe, 2019. "Bayesian modeling and forecasting of Value‐at‐Risk via threshold realized volatility," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(3), pages 747-765, May.
    2. Wulan Anggraeni & Sudradjat Supian & Sukono & Nurfadhlina Abdul Halim, 2023. "Catastrophe Bond Diversification Strategy Using Probabilistic–Possibilistic Bijective Transformation and Credibility Measures in Fuzzy Environment," Mathematics, MDPI, vol. 11(16), pages 1-30, August.
    3. Yucheng Sun, 2024. "Testing for jumps with robust spot volatility estimators," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 78(1), pages 79-104, February.
    4. Gloria Gonzalez-Rivera & Yun Luo, 2023. "A Truncated Mixture Transition Model for Interval-valued Time Series," Working Papers 202315, University of California at Riverside, Department of Economics.

  14. Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2015. "The natural yield curve: its concept and measurement," Bank of Japan Working Paper Series 15-E-5, Bank of Japan.

    Cited by:

    1. Brand, Claus & Goy, Gavin & Lemke, Wolfgang, 2025. "Estimating the natural rate of interest in a macro-finance yield curve model," Working Paper Series 3160, European Central Bank.
    2. NAKAJIMA, Jouchi & SUDO, Nao & HOGEN, Yoshihiko & TAKIZUKA, Yasutaka, 2023. "On the estimation of the natural yield curve," Discussion Paper Series 753, Institute of Economic Research, Hitotsubashi University.
    3. Leeper, E.M. & Leith, C., 2016. "Understanding Inflation as a Joint Monetary–Fiscal Phenomenon," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2305-2415, Elsevier.
    4. Campbell Leith & Eric Leeper, 2016. "Understanding Inflation as a Joint Monetary-Fiscal Phenomenon," Working Papers 2016_01, Business School - Economics, University of Glasgow.
    5. Lee, Dong Jin & Hahm, Joon-Ho & Park, Hail & Park, Ki Young, 2020. "Measuring the Natural Rate of Interest with Financial Gaps: The Cases of Japan and South Korea," Japan and the World Economy, Elsevier, vol. 54(C).
    6. Murasawa Yasutomo, 2022. "Bayesian multivariate Beveridge–Nelson decomposition of I(1) and I(2) series with cointegration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(3), pages 387-415, June.
    7. Yudai Hatayama & Yuto Iwasaki & Kyoko Nakagami & Tatsuyoshi Okimoto, 2024. "Globalization and Its Growing Impact on the Natural Rates of Interest in Developed Economies," Bank of Japan Working Paper Series 24-E-13, Bank of Japan.
    8. Brand, Claus & Goy, Gavin & Lemke, Wolfgang, 2021. "Natural rate chimera and bond pricing reality," Working Paper Series 2612, European Central Bank.
    9. Mr. Fei Han, 2019. "Demographics and the Natural Rate of Interest in Japan," IMF Working Papers 2019/031, International Monetary Fund.
    10. Koeda, Junko & Sekine, Atsushi, 2022. "Nelson–Siegel decay factor and term premia in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    11. Yosuke Okazaki & Nao Sudo, 2018. "Natural Rate of Interest in Japan -- Measuring its size and identifying drivers based on a DSGE model --," Bank of Japan Working Paper Series 18-E-6, Bank of Japan.
    12. Kazutoshi Kan & Yui Kishaba & Tomohiro Tsuruga, 2016. "Supplementary Paper Series for the "Comprehensive Assessment" (3): Policy Effects since the Introduction of Quantitative and Qualitative Monetary Easing (QQE) -- Assessment Based on Bank of Japan's Large-scale Macroeconomic Model (Q-JEM) --," Bank of Japan Working Paper Series 16-E-15, Bank of Japan.
    13. Han, Fei, 2024. "The impact of demographic change on the natural rate of interest in Japan," Japan and the World Economy, Elsevier, vol. 69(C).

  15. Sohei Kaihatsu & Jouchi Nakajima, 2015. "Has Trend Inflation Shifted?: An Empirical Analysis with a Regime-Switching Model," Bank of Japan Working Paper Series 15-E-3, Bank of Japan.

    Cited by:

    1. Hattori, Masazumi & Yetman, James, 2017. "The evolution of inflation expectations in Japan," CIS Discussion paper series 662, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    2. NAKAJIMA, Jouchi, 2023. "Estimation of firms' inflation expectations using the survey DI," Discussion Paper Series 749, Institute of Economic Research, Hitotsubashi University.
    3. Sohei Kaihatsu & Noriyuki Shiraki, 2016. "Firms' Inflation Expectations and Wage-setting Behaviors," Bank of Japan Working Paper Series 16-E-10, Bank of Japan.
    4. Anis Foresto & Monique Reid & Jeffrey Rakgalakane, 2025. "State dependence of the Phillips curve what does this mean for monetary policy," Working Papers 11080, South African Reserve Bank.
    5. Ryuzo MIYAO & Tatsuyoshi OKIMOTO, 2017. "The Macroeconomic Effects of Japan's Unconventional Monetary Policies," Discussion papers 17065, Research Institute of Economy, Trade and Industry (RIETI).
    6. Mr. Gee Hee Hong & Rahul Anand & Yaroslav Hul, 2019. "Achieving the Bank of Japan’s Inflation Target," IMF Working Papers 2019/229, International Monetary Fund.
    7. Adriana Lojschova, 2017. "Did quantitative easing boost bank lending? The Slovak experience," Working and Discussion Papers WP 1/2017, Research Department, National Bank of Slovakia.
    8. Yoshihiko Hogen & Ryoichi Okuma, 2018. "The Anchoring of Inflation Expectations in Japan: A Learning-Approach Perspective," Bank of Japan Working Paper Series 18-E-8, Bank of Japan.
    9. Koji Takahashi, 2016. "TIPS: The Trend Inflation Projection System and Estimation Results," Bank of Japan Working Paper Series 16-E-18, Bank of Japan.
    10. Hiroshi Ugai, "undated". "Transmission Channels and Welfare Implications of Unconventional Monetary Easing Policy in Japan," Working Papers e102, Tokyo Center for Economic Research.
    11. OKIMOTO, Tatsuyoshi, 2017. "Expected Inflation Regimes in Japan," Discussion paper series HIAS-E-41, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    12. Francesco Zanetti & Tatsushi Okuda & Tomohiro Tsuruga, 2019. "Imperfect Information, Shock Heterogeneity, and Inflation Dynamics," Economics Series Working Papers 881, University of Oxford, Department of Economics.
    13. Tatsuyoshi OKIMOTO, 2018. "Trend Inflation and Monetary Policy Regimes in Japan," Discussion papers 18024, Research Institute of Economy, Trade and Industry (RIETI).
    14. Sohei Kaihatsu & Mitsuru Katagiri & Noriyuki Shiraki, 2017. "Phillips Curve and Price-Change Distribution under Declining Trend Inflation," Bank of Japan Working Paper Series 17-E-5, Bank of Japan.
    15. Yoshiyuki Kurachi & Kazuhiro Hiraki & Shinichi Nishioka, 2016. "Does a Higher Frequency of Micro-level Price Changes Matter for Macro Price Stickiness?: Assessing the Impact of Temporary Price Changes," Bank of Japan Working Paper Series 16-E-9, Bank of Japan.
    16. Dunne, Peter & Everett, Mary & Stuart, Rebecca, 2015. "The Expanded Asset Purchase Programme – What, Why and How of Euro Area QE," Quarterly Bulletin Articles, Central Bank of Ireland, pages 61-71, July.

  16. Kei Imakubo & Jouchi Nakajima, 2015. "Estimating inflation risk premia from nominal and real yield curves using a shadow-rate model," Bank of Japan Working Paper Series 15-E-1, Bank of Japan.

    Cited by:

    1. NAKAJIMA, Jouchi, 2025. "Impact of US Monetary Policy Spillovers and Yield Curve Control Policy," Discussion Paper Series 760, Institute of Economic Research, Hitotsubashi University.
    2. NAKAJIMA, Jouchi & SUDO, Nao & HOGEN, Yoshihiko & TAKIZUKA, Yasutaka, 2023. "On the estimation of the natural yield curve," Discussion Paper Series 753, Institute of Economic Research, Hitotsubashi University.
    3. Juan Andr�s Espinosa-Torres & Luis Fernando Melo-Veland�a & Jos� Fernando Moreno-Guti�rrez, 2015. "Expectativas de inflaci�n, prima de riesgo inflacionario y prima de liquidez: una descomposici�n del break-even inflation para los bonos del gobierno colombiano," Borradores de Economia 13700, Banco de la Republica.
    4. Roussellet, Guillaume, 2025. "The term structure of macroeconomic risks at the effective lower bound," Journal of Econometrics, Elsevier, vol. 248(C).
    5. Sergeyev, Dmitriy & Miyamoto, Wataru & Nguyen, Thu-Van, 2016. "Government Spending Multipliers under the Zero Lower Bound: Evidence from Japan," CEPR Discussion Papers 11633, C.E.P.R. Discussion Papers.
    6. Covarrubias, Enrique & Hernández-del-Valle, Gerardo, 2016. "Inflation expectations derived from a portfolio model," MPRA Paper 69489, University Library of Munich, Germany.
    7. Hiroshi Ugai, "undated". "Transmission Channels and Welfare Implications of Unconventional Monetary Easing Policy in Japan," Working Papers e102, Tokyo Center for Economic Research.
    8. Lombardi, Domenico & Siklos, Pierre L. & Xie, Xiangyou, 2018. "Monetary policy transmission in systemically important economies and China’s impact," Journal of Asian Economics, Elsevier, vol. 59(C), pages 61-79.
    9. Junko Koeda & Bin Wei, 2024. "Quantifying Forward Guidance and Yield Curve Control," FRB Atlanta Working Paper 2024-8, Federal Reserve Bank of Atlanta.
    10. Camba-Méndez, Gonzalo, 2020. "On the inflation risks embedded in sovereign bond yields," Working Paper Series 2423, European Central Bank.
    11. Argyropoulos, Efthymios & Tzavalis, Elias, 2021. "The influence of real interest rates and risk premium effects on the ability of the nominal term structure to forecast inflation," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 785-796.
    12. Samuel Howorth & Domenico Lombardi & Pierre L. Siklos, 2019. "Together or Apart? Monetary Policy Divergences in the G4," Open Economies Review, Springer, vol. 30(2), pages 191-217, April.
    13. Berardi, Andrea & Plazzi, Alberto, 2022. "Dissecting the yield curve: The international evidence," Journal of Banking & Finance, Elsevier, vol. 134(C).
    14. Kitamura, Tomiyuki & Muto, Ichiro & Takei, Ikuo, 2016. "Loan interest rate pass-through and changes after the financial crisis: Japan’s evidence," Journal of the Japanese and International Economies, Elsevier, vol. 42(C), pages 10-30.
    15. Kazuhiro Hiraki & Wataru Hirata, 2020. "Market-based Long-term Inflation Expectations in Japan: A Refinement on Breakeven Inflation Rates," Bank of Japan Working Paper Series 20-E-5, Bank of Japan.
    16. Harendra Behera & Sitikantha Pattanaik & Rajesh Kavediya, 2015. "Natural Interest Rate: Assessing the Stance of India’s Monetary Policy under Uncertainty," Working Papers id:7654, eSocialSciences.
    17. Rui WANG, 2019. "Estimating the Monetary Policy Measures of Japan in Shadow/ZLB Term Structure Model," Applied Economics and Finance, Redfame publishing, vol. 6(6), pages 126-139, November.
    18. Ichiro Fukunaga & Naoya Kato & Junko Koeda, 2015. "Maturity Structure and Supply Factors in Japanese Government Bond Markets," IMES Discussion Paper Series 15-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
    19. Shunsuke Haba & Yuichiro Ito & Yoshiyasu Kasai, 2025. "The Impact of Negative Interest Rate Policy on Interest Rate Formation and Lending," Bank of Japan Working Paper Series 25-E-1, Bank of Japan.
    20. Sohei Kaihatsu & Shogo Nakano & Hiroki Yamamoto, 2024. "Macroeconomic Impact of Shifts in Long-term Inflation Expectations," Bank of Japan Working Paper Series 24-E-18, Bank of Japan.
    21. Juan Andrés Espinosa-Torres & Luis Fernando Melo-Velandia & José Fernando Moreno-Gutiérrez, 2015. "Expectativas de inflación, prima de riesgo inflacionario y prima de liquidez: una descomposición del break-even inflation para los bonos del gobierno colombiano," Borradores de Economia 903, Banco de la Republica de Colombia.
    22. Lenka Košútová & Beáta Stehlíková, 2024. "Calibration of the Ueno’s Shadow Rate Model of Interest Rates," Mathematics, MDPI, vol. 12(22), pages 1-12, November.
    23. Adam Golinski & Sophie Guilloux-Nefussi & Jean-Paul Renne, 2025. "The Shadow Rate Model: Let’s Make it Real!," Working papers 1014, Banque de France.
    24. Shunsuke Haba & Yuichiro Ito & Shogo Nakano & Takahiro Yamanaka, 2024. "Assessing the Long-Term Impact of Monetary Policy," Bank of Japan Working Paper Series 24-E-19, Bank of Japan.
    25. Berardi, Andrea, 2023. "Term premia and short rate expectations in the euro area," Journal of Empirical Finance, Elsevier, vol. 74(C).

  17. Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2015. "The natural yield curve: its concept and developments in Japan," Bank of Japan Research Laboratory Series 15-E-3, Bank of Japan.

    Cited by:

    1. Leeper, E.M. & Leith, C., 2016. "Understanding Inflation as a Joint Monetary–Fiscal Phenomenon," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2305-2415, Elsevier.
    2. Sohei Kaihatsu & Koichiro Kamada & Mitsuru Katagiri, 2016. "Theoretical Foundations for Quantitative Easing," IMES Discussion Paper Series 16-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
    3. Han, Fei, 2024. "The impact of demographic change on the natural rate of interest in Japan," Japan and the World Economy, Elsevier, vol. 69(C).

  18. Shusaku Nishiguchi & Jouchi Nakajima & Kei Imakubo, 2014. "Disagreement in households' inflation expectations and its evolution," Bank of Japan Review Series 14-E-1, Bank of Japan.

    Cited by:

    1. Hogen, Yoshihiko & Okuma, Ryoichi, 2025. "The anchoring of inflation expectations in Japan: A learning-approach perspective," Japan and the World Economy, Elsevier, vol. 73(C).
    2. Yoshiyuki Nakazono, 2016. "Inflation expectations and monetary policy under disagreements," Bank of Japan Working Paper Series 16-E-1, Bank of Japan.
    3. Hattori, Masazumi & Yetman, James, 2017. "The evolution of inflation expectations in Japan," CIS Discussion paper series 662, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    4. NAKAJIMA, Jouchi, 2023. "Estimation of firms' inflation expectations using the survey DI," Discussion Paper Series 749, Institute of Economic Research, Hitotsubashi University.
    5. Siklos, Pierre, 2017. "What Has Publishing Inflation Forecasts Accomplished? Central Banks And Their Competitors," LCERPA Working Papers 0098, Laurier Centre for Economic Research and Policy Analysis, revised 01 Apr 2017.
    6. Mr. Serkan Arslanalp & Mr. Dennis P Botman, 2015. "Portfolio Rebalancing in Japan: Constraints and Implications for Quantitative Easing," IMF Working Papers 2015/186, International Monetary Fund.
    7. Mototsugu Shintani & Naoto Soma, 2020. "The Effects of QQE on Long-run Inflation Expectations in Japan," CARF F-Series CARF-F-494, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    8. Reid, Monique & Siklos, Pierre & Plessis, Stan Du, 2021. "What drives household inflation expectations in South Africa? Demographics and anchoring under inflation targeting," Economic Systems, Elsevier, vol. 45(3).
    9. Kei Imakubo & Jouchi Nakajima, 2015. "Estimating inflation risk premia from nominal and real yield curves using a shadow-rate model," Bank of Japan Working Paper Series 15-E-1, Bank of Japan.
    10. Gunji, Hiroshi, 2024. "Impact of the Kuroda Bazooka on Japanese households’ borrowing intentions," Japan and the World Economy, Elsevier, vol. 69(C).
    11. Hunziker, Hans-Ueli & Raggi, Christian & Rosenblatt-Wisch, Rina & Zanetti, Attilio, 2022. "The impact of guidance, short-term dynamics and individual characteristics on firms’ long-term inflation expectations," Journal of Macroeconomics, Elsevier, vol. 71(C).
    12. Pierre L. Siklos, 2016. "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series 16-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    13. Go Fujii & Shogo Nakano & Kosuke Takatomi, 2025. "Households' Medium- to Long-Term Inflation Expectations Formation: The Role of Past Experience and Inflation Regimes," Bank of Japan Working Paper Series 25-E-6, Bank of Japan.

  19. Takeshi Kimura & Jouchi Nakajima, 2013. "Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach," Bank of Japan Working Paper Series 13-E-7, Bank of Japan.

    Cited by:

    1. Alexandra Ferreira‐Lopes & Pedro Linhares & Luís Filipe Martins & Tiago Neves Sequeira, 2022. "Quantitative easing and economic growth in Japan: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 235-268, February.
    2. Filipa Lima & Sonia Mota, 2017. "Unconventional monetary policy - is there a call for unconventional statistics?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistical implications of the new financial landscape, volume 43, Bank for International Settlements.
    3. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization Institute Working Papers 314, Federal Reserve Bank of Dallas.
    4. Ryuzo MIYAO & Tatsuyoshi OKIMOTO, 2017. "The Macroeconomic Effects of Japan's Unconventional Monetary Policies," Discussion papers 17065, Research Institute of Economy, Trade and Industry (RIETI).
    5. Renzhi, Nuobu, 2022. "Do house prices play a role in unconventional monetary policy transmission in Japan?," Journal of Asian Economics, Elsevier, vol. 83(C).
    6. Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
    7. Hiroyuki Kubota & Mototsugu Shintani, 2025. "Macroeconomic effects of monetary policy in Japan: an analysis using interest rate futures surprises," Empirical Economics, Springer, vol. 68(2), pages 783-801, February.
    8. Yano, Ritsu & Nakazono, Yoshiyuki & Tango, Kento, 2025. "The transmission of monetary policy shocks: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 75(C).
    9. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
    10. Kansho Piotr Otsubo, 2018. "The Effects of Fiscal and Monetary Policies in Japan: What Combination of Policies Should Be Used?," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 9(01n02), pages 1-25, February.
    11. Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
    12. Fumio Hayashi & Junko Koeda, 2014. "Exiting from QE," NBER Working Papers 19938, National Bureau of Economic Research, Inc.
    13. Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
    14. Kiyotaka Nakashima & Masahiko Shibamoto & Koji Takahashi, 2019. "Identifying Quantitative and Qualitative Monetary Policy Shocks," Discussion Paper Series DP2019-09, Research Institute for Economics & Business Administration, Kobe University, revised Mar 2023.
    15. Hiroyuki Kubota & Mototsugu Shintani, 2023. "Macroeconomic Effects of Monetary Policy in Japan: An Analysis Using Interest Rate Futures Surprises," CARF F-Series CARF-F-555, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    16. Feldkircher, Martin & Gruber, Thomas & Huber, Florian, 2020. "International effects of a compression of euro area yield curves," Journal of Banking & Finance, Elsevier, vol. 113(C).
    17. Gerti Shijaku, 2015. "The Macroeconomic Pass-through Effects of Monetary Policy through Sign Restrictions Approach: In the Case of Albania," IHEID Working Papers 11-2015, Economics Section, The Graduate Institute of International Studies.
    18. Ryuzo Miyao & Tatsuyoshi Okimoto, 2020. "Regime shifts in the effects of Japan’s unconventional monetary policies," Manchester School, University of Manchester, vol. 88(6), pages 749-772, December.
    19. Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Paper Series 235, WU Vienna University of Economics and Business.
    20. Junko Koeda, 2018. "Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures," IMES Discussion Paper Series 18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
    21. Stéphane Lhuissier & Benoit Mojon & Juan Rubio-Ramírez, 2020. "Does the liquidity trap exist?," BIS Working Papers 855, Bank for International Settlements.
    22. Tanahara, Yusuke & Tango, Kento & Nakazono, Yoshiyuki, 2023. "Information effects of monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 70(C).
    23. Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Papers 1607.04532, arXiv.org, revised Jul 2018.
    24. Dekle, Robert & Hamada, Koichi, 2015. "Japanese monetary policy and international spillovers," Journal of International Money and Finance, Elsevier, vol. 52(C), pages 175-199.
    25. Andrew Filardo & Jouchi Nakajima, 2018. "Effectiveness of unconventional monetary policies in a low interest rate environment," BIS Working Papers 691, Bank for International Settlements.
    26. Fumio Hayashi & Junko Koeda, 2013. "A Regime-Switching SVAR Analysis of Quantitative Easing," CARF F-Series CARF-F-322, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    27. Nagao, Ryoya & Kondo, Yoshihiro & Nakazono, Yoshiyuki, 2021. "The macroeconomic effects of monetary policy: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    28. Cone, Thomas E., 2022. "Learning with unobserved regimes," Journal of Macroeconomics, Elsevier, vol. 73(C).
    29. Hiroyuki Ijiri & Yoichi Matsubayashi, 2016. "Quantitative Easing Policy, Exchange Rates and Business Activity by Industry in Japan from 2001-2006," Discussion Papers 1611, Graduate School of Economics, Kobe University.
    30. Hanisch, Max, 2017. "The effectiveness of conventional and unconventional monetary policy: Evidence from a structural dynamic factor model for Japan," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 110-134.
    31. Mike West, 2020. "Reply to Discussion of “Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions”," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 41-44, February.
    32. Yuto Iwasaki & Nao Sudo, 2017. "Myths and Observations on Unconventional Monetary Policy -- Takeaways from Post-Bubble Japan --," Bank of Japan Working Paper Series 17-E-11, Bank of Japan.
    33. Hiroyuki Kubota & Mototsugu Shintani, 2020. "High-frequency Identification of Unconventional Monetary Policy Shocks in Japan," CARF F-Series CARF-F-502, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    34. Kiyotaka Nakashima & Masahiko Shibamoto & Koji Takahashi, 2017. "Identifying Unconventional Monetary Policy Shocks," Discussion Paper Series DP2017-05, Research Institute for Economics & Business Administration, Kobe University, revised Apr 2017.
    35. Bäurle Gregor & Kaufmann Daniel & Kaufmann Sylvia & Strachan Rodney, 2020. "Constrained interest rates and changing dynamics at the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-26, April.
    36. Ahmed Ashour Abdullah & Ahmed Mohamed Hassanien, 2022. "Spillovers of US Unconventional Monetary Policy to Emerging Markets: Evidence from Egypt," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(6), pages 1-1, June.
    37. Annika Camehl & Tomasz Wo'zniak, 2023. "Time-Varying Identification of Monetary Policy Shocks," Papers 2311.05883, arXiv.org, revised May 2024.

  20. Koichiro Kamada & Jouchi Nakajima, 2013. "On the Reliability of Japanese Inflation Expectations Using Purchasing Power Parity," Bank of Japan Working Paper Series 13-E-13, Bank of Japan.

    Cited by:

    1. Mr. Serkan Arslanalp & Mr. Dennis P Botman, 2015. "Portfolio Rebalancing in Japan: Constraints and Implications for Quantitative Easing," IMF Working Papers 2015/186, International Monetary Fund.
    2. Hiroshi Ugai, "undated". "Transmission Channels and Welfare Implications of Unconventional Monetary Easing Policy in Japan," Working Papers e102, Tokyo Center for Economic Research.
    3. Rosa Ferrentino & Luca Vota, 2022. "An Analysis of the Effectiveness of Japanese Monetary Policy Through a Statistical Mathematical Approach: a Simultaneous Equations Model (SEM)," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(1), pages 1-2.
    4. Chiang, Shu-Hen & Lee, Chien-Chiang & Liao, Ying, 2021. "Exploring the sources of inflation dynamics: New evidence from China," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 313-332.
    5. Petra Gerlach & Richhild Moessner & Rina Rosenblatt-Wisch, 2017. "Computing long‐term market inflation expectations for countries without inflation expectation markets," Working Papers 2017-09, Swiss National Bank.
    6. Christina Anderl & Guglielmo Maria Caporale, 2021. "Nonlinearities and Asymmetric Adjustment to PPP in an Exchange Rate Model with Inflation Expectations," CESifo Working Paper Series 8921, CESifo.

  21. Jouchi Nakajima & Toshiaki Watanabe, 2012. "Time-Varying Vector Autoregressive Model - A Survey with the Application to the Japanese Macroeconomic Data -," Global COE Hi-Stat Discussion Paper Series gd12-232, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Chaofeng Tang & Kentaka Aruga, 2020. "A Study on the Pass-Through Rate of the Exchange Rate on the Liquid Natural Gas (LNG) Import Price in China," IJFS, MDPI, vol. 8(4), pages 1-19, November.

  22. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Bogdan DIMA & Ştefana Maria DIMA & Flavia BARNA, 2019. "Inflation Contagion Effects in the Baltic Countries: A Time-varying Coefficients VAR with Stochastic Volatility Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 72-87, March.
    2. Rufei Zhang & Haizhen Zhang & Wang Gao & Ting Li & Shixiong Yang, 2022. "The Dynamic Effects of Oil Price Shocks on Exchange Rates—From a Time-Varying Perspective," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    3. Hai-Chuan Xu & Fredj Jawadi & Jie Zhou & Wei-Xing Zhou, 2023. "Quantifying interconnectedness and centrality ranking among financial institutions with TVP-VAR framework," Empirical Economics, Springer, vol. 65(1), pages 93-110, July.
    4. Angelo Marsiglia Fasolo, 2018. "Monetary Policy Volatility Shocks in Brazil," Working Papers Series 480, Central Bank of Brazil, Research Department.
    5. Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
    6. Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
    7. Yang, Xite & Zhang, Qin & Liu, Haiyue & Liu, Zihan & Tao, Qiufan & Lai, Yongzeng & Huang, Linya, 2024. "Economic policy uncertainty, macroeconomic shocks, and systemic risk: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    8. Corina SAMAN, 2016. "The Impact of the US and Euro Area Financial Systemic Stress to the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 170-183, December.
    9. Simon Beyeler, 2019. "Streamlining Time-varying VAR with a Factor Structure in the Parameters," Working Papers 19.03, Swiss National Bank, Study Center Gerzensee.
    10. Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
    11. Ouyang, Zisheng & Lu, Min & Lai, Yongzeng, 2023. "Forecasting stock index return and volatility based on GAVMD- Carbon-BiLSTM: How important is carbon emission trading?," Energy Economics, Elsevier, vol. 128(C).
    12. He, Zhifang, 2020. "Dynamic impacts of crude oil price on Chinese investor sentiment: Nonlinear causality and time-varying effect," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 131-153.
    13. Oguzhan Ozcelebi & Kaya Tokmakcioglu, 2022. "Assessment of the asymmetric impacts of the geopolitical risk on oil market dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 275-289, January.
    14. Sun, Chuanwang & Peng, Yiqi & Zhan, Yanhong, 2023. "How does China's crude oil futures affect the crude oil prices at home and abroad? Evidence from the cross-market exchange rate spillovers," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 204-222.
    15. Weina Cai & Sen Wang, 2018. "The Time-Varying Effects of Monetary Policy on House Prices in China: An Application of TVP-VAR Model with Stochastic Volatility," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(4), pages 149-149, March.
    16. Pami Dua & Deepika Goel, 2021. "Inflation Persistence in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 525-553, September.
    17. Dima, Bogdan & Dima, Ştefana Maria & Ioan, Roxana, 2025. "The short-run impact of investor expectations’ past volatility on current predictions: The case of VIX," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 98(C).
    18. Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
    19. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    20. Tomoyuki Yagi & Yoshiyuki Kurachi & Masato Takahashi & Kotone Yamada & Hiroshi Kawata, 2022. "Pass-Through of Cost-Push Pressures to Consumer Prices," Bank of Japan Working Paper Series 22-E-17, Bank of Japan.
    21. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    22. Zhang, Xu & Ding, Zhijing & Hang, Jianqin & He, Qizhi, 2022. "How do stock price indices absorb the COVID-19 pandemic shocks?," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    23. Wenying Zeng & Songbai Song & Yan Kang & Xuan Gao & Rui Ma, 2022. "Response of Runoff to Meteorological Factors Based on Time-Varying Parameter Vector Autoregressive Model with Stochastic Volatility in Arid and Semi-Arid Area of Weihe River Basin," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
    24. Cai, Yifei & Wu, Yanrui, 2021. "Time-varying interactions between geopolitical risks and renewable energy consumption," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 116-137.
    25. Jie Liu & Zhenshan Chen & Yinglun Zhu & Yangfa Chen & Yaoye Huang, 2024. "The time-varying effects of geopolitical risk on mutual fund risk taking," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-21, June.
    26. Noureddine Benlagha & Wafa Abdelmalek, 2024. "Dynamic connectedness between energy and agricultural commodities: insights from the COVID-19 pandemic and Russia–Ukraine conflict," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 781-825, September.
    27. Shanglei Chai & Wenjun Chu & Zhen Zhang & Zhilong Li & Mohammad Zoynul Abedin, 2025. "Dynamic nonlinear connectedness between the green bonds, clean energy, and stock price: the impact of the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 345(2), pages 1137-1164, February.
    28. Lu, Man & Wang, Wei & Chen, Fengwen & Li, Hongmei, 2024. "Dynamic impacts of multidimensional uncertainty on the renminbi exchange rate: Insights from time-varying analysis," International Review of Financial Analysis, Elsevier, vol. 94(C).
    29. Zhang, Hongwei & Wei, Shiyao & Guo, Yaoqi & Gao, Wang, 2024. "Analyzing the interconnection between rare earth market and green economy: Time-varying effects of trade policy uncertainty," Resources Policy, Elsevier, vol. 97(C).
    30. David Finck & Joerg Schmidt & Peter Tillmann, 2018. "Mortgage Debt and Time-Varying Monetary Policy Transmission," MAGKS Papers on Economics 201809, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    31. Pacelli, Vincenzo & Di Tommaso, Caterina & Foglia, Matteo & Povia, Maria Melania, 2025. "Spillover effects between energy uncertainty and financial risk in the Eurozone banking sector," Energy Economics, Elsevier, vol. 141(C).
    32. Chance Ngamanya Mwabutwa & Nicola Viegi & Manoel Bittencourt, 2016. "Evolution Of Monetary Policy Transmission Mechanism In Malawi: A Tvp-Var Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 41(1), pages 33-55, March.
    33. Can, Ufuk & Kenc, Turalay & Cevik, Emrah Ismail, 2025. "Bank lending channel under high policy rate volatility: Evidence from Türkiye," The Quarterly Review of Economics and Finance, Elsevier, vol. 104(C).
    34. Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
    35. Dahem, Ahlem & Skander, Slim & Fatma, Siala Guermazi, 2017. "Time Varying VAR Analysis for Disaggregated Exchange Rate Pass-through in Tunisia," MPRA Paper 79759, University Library of Munich, Germany, revised 2017.
    36. Zhang, Xiaoyuan & You, Hang, 2025. "Network volatility, contagion, and two-pillar policies: Insights from Chinese financial sector data," The North American Journal of Economics and Finance, Elsevier, vol. 79(C).
    37. Gong, Xu & Xu, Jun & Liu, Tangyong & Zhou, Zicheng, 2022. "Dynamic volatility connectedness between industrial metal markets," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    38. Huang, Junbo & Tian, Huiting & Shen, Weibing, 2023. "Characteristics and mechanisms of the U.S. stock market spillover effects on the Chinese A-share market: Evidence from 6 A-share broad-based and 31 sector indices," International Review of Financial Analysis, Elsevier, vol. 87(C).
    39. Robert N McCauley & Patrick McGuire & Vladyslav Sushko, 2015. "Global dollar credit: links to US monetary policy and leverage," BIS Working Papers 483, Bank for International Settlements.
    40. Chaofeng Tang & Kentaka Aruga, 2020. "A Study on the Pass-Through Rate of the Exchange Rate on the Liquid Natural Gas (LNG) Import Price in China," IJFS, MDPI, vol. 8(4), pages 1-19, November.
    41. Yang, Cai & Niu, Zibo & Gao, Wang, 2022. "The time-varying effects of trade policy uncertainty and geopolitical risks shocks on the commodity market prices: Evidence from the TVP-VAR-SV approach," Resources Policy, Elsevier, vol. 76(C).
    42. Fang, Guobin & Zhou, Xuehua & Ma, Huimin & Zhao, XiaoFang & Deng, YaoXun & Xie, Luoyan, 2025. "Economic policy uncertainty, investor sentiment and systemic financial risk: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    43. Liu, Yunqiang & Liu, Sha & Ye, Deping & Tang, Hong & Wang, Fang, 2022. "Dynamic impact of negative public sentiment on agricultural product prices during COVID-19," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    44. Pedro Gomis-Porqueras & Romina Ruprecht & Xuan Zhou, 2023. "A Financial Stress Index for a Small Open Economy: The Australian Case," Finance and Economics Discussion Series 2023-029, Board of Governors of the Federal Reserve System (U.S.).
    45. Jiang, Yanhui & Qu, Bo & Hong, Yun & Xiao, Xiyue, 2024. "Dynamic connectedness of inflation around the world: A time-varying approach from G7 and E7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 111-125.
    46. Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
    47. Tunc, Ahmet & Kocoglu, Mustafa & Aslan, Alper, 2022. "Time-varying characteristics of the simultaneous interactions between economic uncertainty, international oil prices and GDP: A novel approach for Germany," Resources Policy, Elsevier, vol. 77(C).
    48. Licheng Zhang & Shengtao Luo, 2025. "Time-varying return correlations and spillovers between bitcoin and traditional assets: the impact of COVID-19 and US monetary policy," Economic Change and Restructuring, Springer, vol. 58(3), pages 1-28, June.
    49. Yuri SASAKI & Yushi YOSHIDA & Piotr Kansho OTSUBO, 2019. "Exchange rate pass-through on Japanese prices: Import price, producer price, and core CPI," Discussion papers 19078, Research Institute of Economy, Trade and Industry (RIETI).
    50. Wang, Kuan-Min & Lee, Yuan-Ming, 2022. "Is gold a safe haven for exchange rate risks? An empirical study of major currency countries," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    51. Xie He & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility," JRFM, MDPI, vol. 11(4), pages 1-16, December.
    52. Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil price shocks and uncertainty: How stable is their relationship over time?," Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
    53. Sui, Jianli & Lv, Wenqiang & Gao, Xiang & Koedijk, Kees G., 2024. "China’s GDP-at-Risk: Real-Time Monitoring, Risk Tracing, and Macroeconomic Policy Effects," Journal of International Money and Finance, Elsevier, vol. 147(C).
    54. BenMabrouk, Houda & Sassi, Syrine & Soltane, Feriel & Abid, Ilyes, 2024. "Connectedness and portfolio hedging between NFTs segments, American stocks and cryptocurrencies Nexus," International Review of Financial Analysis, Elsevier, vol. 91(C).
    55. Hummaira Jabeen, 2022. "Monetary Policy Shock Transmission in Emerging Markets," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 379-390, December.
    56. Huang, Jianbai & Li, Yingli & Zhang, Hongwei & Chen, Jinyu, 2021. "The effects of uncertainty measures on commodity prices from a time-varying perspective," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 100-114.
    57. Dimitrakopoulos, Stefanos, 2017. "Semiparametric Bayesian inference for time-varying parameter regression models with stochastic volatility," Economics Letters, Elsevier, vol. 150(C), pages 10-14.
    58. Wang, Yonglian & Wang, Lijun & Pan, Changchun & Hong, Songzhi, 2022. "Economic policy uncertainty and price pass-through effect of exchange rate in China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    59. Wenbo Jia & Hao Jiang & Yiqing Lyv & Stavros Sindakis, 2025. "Uncertainty’s Effect on China’s Knowledge-Based Economy: Transformation Beyond Trade," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 4684-4725, March.
    60. Rodriguez, Gabriel & Castillo B., Paul & Calero, Roberto & Salcedo Cisneros, Rodrigo & Ataurima Arellano, Miguel, 2024. "Evolution of the exchange rate pass-through into prices in Peru: An empirical application using TVP-VAR-SV models," Journal of International Money and Finance, Elsevier, vol. 142(C).
    61. Yan, Wan-Lin & Cheung, Adrian (Wai Kong), 2023. "The dynamic spillover effects of climate policy uncertainty and coal price on carbon price: Evidence from China," Finance Research Letters, Elsevier, vol. 53(C).
    62. Kim, Jong-Min & Jung, Hojin, 2016. "Linear time-varying regression with Copula–DCC–GARCH models for volatility," Economics Letters, Elsevier, vol. 145(C), pages 262-265.
    63. Xingchen Lv & Jun Meng & Qiufeng Wu, 2022. "Dynamic Influence of Network Public Opinions on Price Fluctuation of Small Agricultural Products Based on NLP-TVP-VAR Model—Taking Garlic as an Example," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    64. Zheng, Tingguo & Ye, Shiqi & Hong, Yongmiao, 2023. "Fast estimation of a large TVP-VAR model with score-driven volatilities," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
    65. Lü, Zheng & Ozcelebi, Oguzhan & Yoon, Seong-Min, 2025. "Impact of central bank digital currency uncertainty on international financial markets," Research in International Business and Finance, Elsevier, vol. 73(PA).
    66. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
    67. Renzhi, Nuobu, 2022. "Do house prices play a role in unconventional monetary policy transmission in Japan?," Journal of Asian Economics, Elsevier, vol. 83(C).
    68. Irfanullah Khan & Muhammad Tayyab & Faheem Ur Rehman, 2026. "Exploring global contagion in artificial Intelligence, supply chain pressure, oil price, and economic policy uncertainty: insights from a bayesian TVP-SV-VAR model," Economic Change and Restructuring, Springer, vol. 59(1), pages 1-34, February.
    69. Freddy Ronalde Camacho-Villagomez & Yanina Shegia Bajaña-Villagomez & Andrea Johanna Rodríguez-Bustos, 2024. "Estimating the Impact of Oil Price Volatility on the Ecuadorian Economy: A MIDAS Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 371-376, July.
    70. Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
    71. Shah, Waheed Ullah & Younis, Ijaz & Missaoui, Ibtissem & Liu, Xiyu, 2025. "Environmental transitions effect of renewable energy and fintech markets on Europe's real estate stock market," Renewable Energy, Elsevier, vol. 243(C).
    72. Guangyang Chen & Kai Dong & Shaonan Wang & Xiuli Du & Ronghua Zhou & Zhongwei Yang, 2022. "The Dynamic Relationship among Bank Credit, House Prices and Carbon Dioxide Emissions in China," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    73. Sheng Zhu & Ella Kavanagh & Niall O'Sullivan, 2021. "Constructing a financial conditions index for the United Kingdom: A comparative analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2976-2989, April.
    74. Abdelaziz Eissa, Mohamed & Al Refai, Hisham & Chortareas, Georgios, 2025. "Oil dependency, political instability and the stock market: A perspective from the Middle East and Africa," Journal of Policy Modeling, Elsevier, vol. 47(6), pages 1201-1221.
    75. Guo, Dong & Zhou, Peng, 2021. "The Rise of a New Anchor Currency in RCEP? A Tale of Three Currencies," Cardiff Economics Working Papers E2021/23, Cardiff University, Cardiff Business School, Economics Section.
    76. Mohamad, Azhar & Fromentin, Vincent, 2023. "Herd and causality dynamics between energy commodities and ethical investment: Evidence from the different phases of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 126(C).
    77. Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023. "A Bayesian DSGE Approach to Modelling Cryptocurrency," Working Papers No 09/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    78. Zhifang He & Fangzhao Zhou, 2018. "Time-varying and asymmetric effects of the oil-specific demand shock on investor sentiment," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.
    79. Feng, Huiqun & Zhang, Jun & Guo, Na, 2023. "Time-varying linkages between energy and stock markets: Dynamic spillovers and driving factors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    80. Jiawen Luo & Jingyi Deng & Rangan Gupta & Oguzhan Cepni, 2026. "Time-Varying Effects of Skewness: An International Comparison," Working Papers 202602, University of Pretoria, Department of Economics.
    81. Xiao, Jihong & Wen, Fenghua & He, Zhifang, 2023. "Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis," Energy, Elsevier, vol. 267(C).
    82. Xiao, Jihong & Liu, Hong, 2023. "The time-varying impact of uncertainty on oil market fear: Does climate policy uncertainty matter?," Resources Policy, Elsevier, vol. 82(C).
    83. Tian, Meiyu & Li, Wanyang & Wen, Fenghua, 2021. "The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    84. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
    85. Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
    86. Dawid van Lill, 2024. "Changes in monetary policy implementation over time," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 48(1), pages 62-86, January.
    87. Tang, Chun & Liu, Xiaoxing & Zhou, Donghai, 2022. "Financial market resilience and financial development: A global perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    88. Toparlı, Elif Akay & Çatık, Abdurrahman Nazif & Balcılar, Mehmet, 2019. "The impact of oil prices on the stock returns in Turkey: A TVP-VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    89. Wang, Fanyi & Zhang, Weiwei & Zhang, Du, 2024. "The time-varying impact of geopolitical risks on financial stress in China: A TVP-VAR analysis," Finance Research Letters, Elsevier, vol. 69(PA).
    90. Joice John, 2015. "Has Inflation Persistence In India Changed Over Time?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(04), pages 1-16.
    91. Zehua Luan & Xiangyu Man & Xuan Zhou, 2021. "Understanding the Interaction of Chinese Fiscal and Monetary Policy," JRFM, MDPI, vol. 14(9), pages 1-13, September.
    92. Kansho Piotr Otsubo, 2018. "The Effects of Fiscal and Monetary Policies in Japan: What Combination of Policies Should Be Used?," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 9(01n02), pages 1-25, February.
    93. Liang Xie & Xianzhong Mu & Kuanyuting Lu & Dongou Hu & Guangwen Hu, 2023. "The time-varying relationship between CO2 emissions, heterogeneous energy consumption, and economic growth in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7769-7793, August.
    94. Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
    95. Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility," Energy Economics, Elsevier, vol. 45(C), pages 66-98.
    96. Li, Xingyi & Gan, Kai & Zhou, Qi, 2023. "Dynamic volatility connectedness among cryptocurrencies and China's financial assets in standard times and during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 51(C).
    97. Xu Gong & Yujing Jin & Chuanwang Sun, 2022. "Time‐varying pure contagion effect between energy and nonenergy commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1960-1986, October.
    98. He, Feng & Lucey, Brian & Wang, Ziwei, 2021. "Trade policy uncertainty and its impact on the stock market -evidence from China-US trade conflict," Finance Research Letters, Elsevier, vol. 40(C).
    99. Paul Carrillo-Maldonado & Michalis Nikiforos, 2022. "Estimating a Time-Varying Distribution-Led Regime," Economics Working Paper Archive wp_1001, Levy Economics Institute.
    100. Pratha Khandelwal & Philip Nadler & Rossella Arcucci & William Knottenbelt & Yi-Ke Guo, 2021. "A Scalable Inference Method For Large Dynamic Economic Systems," Papers 2110.14346, arXiv.org.
    101. Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
    102. Gong, Xu & Lin, Boqiang, 2018. "Time-varying effects of oil supply and demand shocks on China's macro-economy," Energy, Elsevier, vol. 149(C), pages 424-437.
    103. Marcio Santetti, 2025. "The economy-wide rebound effect and U.S. business cycles: A time-varying exercise," Papers 2512.20765, arXiv.org.
    104. Zhao, Jing, 2023. "Time-varying impact of geopolitical risk on natural resources prices: Evidence from the hybrid TVP-VAR model with large system," Resources Policy, Elsevier, vol. 82(C).
    105. Amin Karimu & Samuel Salia & Javed J. Hussain, 2021. "The impact of refinery and oil demand shocks on the motor fuel market in Sweden," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 4862-4878, October.
    106. Yao, Wei, 2025. "The US Quantitative Easing Monetary Policy and Commodities’ Prices," Other publications TiSEM 185d14d3-9dc2-4276-82ec-e, Tilburg University, School of Economics and Management.
    107. Wen, Fenghua & Zhao, Cong & Hu, Chunyan, 2019. "Time-varying effects of international copper price shocks on China's producer price index," Resources Policy, Elsevier, vol. 62(C), pages 507-514.
    108. Boufateh, Talel & Saadaoui, Zied & Jiao, Zhilun, 2025. "On the time-varying responses of Fintech stock returns to geopolitical, financial and market sentiment shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 101(C).
    109. Tedeschi, Marco & Foglia, Matteo & Bouri, Elie & Dai, Peng-Fei, 2024. "How does climate policy uncertainty affect financial markets? Evidence from Europe," Economics Letters, Elsevier, vol. 234(C).
    110. Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
    111. Zhao, Junming & Zhang, Tianding, 2023. "Exploring the time-varying dependence between Bitcoin and the global stock market: Evidence from a TVP-VAR approach," Finance Research Letters, Elsevier, vol. 58(PA).
    112. Jia, Yanjing & Dong, Zhiliang, 2024. "Characteristics and influencing factors of risk spillover effects across clean energy stock prices: A comparative analysis during four periods of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 135(C).
    113. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2014. "Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB's OMT Program," CESifo Working Paper Series 4628, CESifo.
    114. Emanuel Kohlscheen & Jouchi Nakajima, 2019. "Steady-state growth," BIS Working Papers 812, Bank for International Settlements.
    115. Chen, Liangyuan & Lin, Jianhao & Wang, Xia & Zhu, Zixiang, 2025. "The real effect of China's narrative Central Bank Communication," China Economic Review, Elsevier, vol. 94(PC).
    116. Iiboshi, Hirokuni & Iwata, Yasuharu & Kajita, Yuto & Soma, Naoto, 2019. "Time-varying Fiscal Multipliers Identified by Systematic Component: A Bayesian Approach to TVP-SVAR model," MPRA Paper 92631, University Library of Munich, Germany.
    117. Charl Jooste & Yaseen Jhaveri, 2014. "The Determinants of Time-Varying Exchange Rate Pass-Through in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 603-615, December.
    118. Rangan Gupta & Charl Jooste & Kanyane Matlou, 2013. "A Time-Varying Approach to Analysing Fiscal Policy and Asset Prices in South Africa," Working Papers 201303, University of Pretoria, Department of Economics.
    119. Fefelov, D. & Rogova, E. & Vukovic, D., 2025. "Assessing the financial interconnectedness between China and Russia: A dynamic approach," Journal of the New Economic Association, New Economic Association, vol. 67(2), pages 110-137.
    120. Muhammet Daştan & Kerem Karabulut & Ömer Yalçınkaya, 2024. "The time-varying impacts of global economic policy uncertainty on macroeconomic activity in a small open economy: the case of Turkey," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(2), pages 275-311, May.
    121. Wang Lu & Wang Yuting & Zhao Ziying & Shang Lin & Wang Xiaoli, 2026. "The Dynamic Association of Economic Policy Uncertainty, Short-Term Cross-Border Capital Flows and Systemic Financial Risk," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 20(1), pages 1-13.
    122. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.
    123. Zhou, YingXue & Wang, Da & Nie, Zhengyi, 2025. "How geopolitical tensions affect China’s systemic financial risk contagion," China Economic Review, Elsevier, vol. 90(C).
    124. Jansson, Walter, 2018. "Stock markets, banks and economic growth in the UK, 1850–1913," Financial History Review, Cambridge University Press, vol. 25(3), pages 263-296, December.
    125. Sheng Fang & Paul Egan, 2021. "Tail dependence between oil prices and China's A‐shares: Evidence from firm‐level data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1469-1487, January.
    126. Zouhaier Dhifaoui & Sami Ben Jabeur & Rabeh Khalfaoui & Muhammad Ali Nasir, 2023. "Time‐varying partial‐directed coherence approach to forecast global energy prices with stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2292-2306, December.
    127. Balli, Esra & Nazif Çatık, Abdurrahman & Nugent, Jeffrey B., 2021. "Time-varying impact of oil shocks on trade balances: Evidence using the TVP-VAR model," Energy, Elsevier, vol. 217(C).
    128. Quinlan Lee, 2025. "Nonlinear Forecast Error Variance Decompositions with Hermite Polynomials," Papers 2503.11416, arXiv.org, revised Oct 2025.
    129. NAKAJIMA, Jouchi, 2023. "Estimating trend inflation in a regime-switching Phillips curve," Discussion Paper Series 750, Institute of Economic Research, Hitotsubashi University.
    130. Ye, Liping, 2022. "The effect of climate news risk on uncertainties," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    131. Jiang, Shangrong & Li, Yuze & Lu, Quanying & Wang, Shouyang & Wei, Yunjie, 2022. "Volatility communicator or receiver? Investigating volatility spillover mechanisms among Bitcoin and other financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    132. Masazumi Hattori & Andreas Schrimpf & Vladyslav Sushko, 2013. "The response of tail risk perceptions to unconventional monetary policy," BIS Working Papers 425, Bank for International Settlements.
    133. Beirne, John & Renzhi, Nuobu & Panthi, Pradeep, 2024. "Exchange rate pass-through in emerging Asia and exposure to external shocks," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1608-1624.
    134. Zhang, Qingjun & Wei, Renyi & Fan, Sijia, 2025. "New energy mineral price shocks and volatility responses in green securities markets: Structural effects and dynamic spillovers," Applied Energy, Elsevier, vol. 382(C).
    135. Kriwoluzky, Alexander & Kliem, Martin & Sarferaz, Samad, 2013. "On the low-frequency relationship between public deficits and inflation," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80000, Verein für Socialpolitik / German Economic Association.
    136. D.O. Olayungbo & A.E. Akinlo, 2016. "Insurance penetration and economic growth in Africa: Dynamic effects analysis using Bayesian TVP-VAR approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1150390-115, December.
    137. Golitsis, Petros & Emmanouilidis, Kyriakos, 2025. "Temporal dynamics of uncertainty shocks on China's trade openness: A TVP-VAR estimation," Journal of Multinational Financial Management, Elsevier, vol. 79(C).
    138. Chen, Qi-An & Li, Huashi & Lin, Jianyi & Yan, Youliang, 2023. "Asset pricing with two types of heterogeneous consumption volatilities in mind: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    139. Saadaoui, Zied & BOUFATEH, Talel & JIAO, Zhilun, 2023. "On the transmission of oil supply and demand shocks to CO2 emissions in the US by considering uncertainty: A time-varying perspective," Resources Policy, Elsevier, vol. 85(PB).
    140. Mezghani, Imed & Ben Haddad, Hedi, 2017. "Energy consumption and economic growth: An empirical study of the electricity consumption in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 145-156.
    141. Anindya Banerjee & Sheheryar Malik, 2012. "The changing role of expectations in US monetary policy: A new look using the Livingston Survey," Working papers 376, Banque de France.
    142. Pancrazi, Roberto & Vukotic, Marija, 2012. "Technology Persistence and Monetary Policy," Economic Research Papers 270536, University of Warwick - Department of Economics.
    143. Yao, Wei & Alexiou, Constantinos, 2024. "On the transmission mechanism between the inventory arbitrage activity, speculative activity and the commodity price under the US QE policy: Evidence from a TVP-VAR model," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1054-1072.
    144. 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.
    145. Tang, Chun & Yang, Guangyi & Liu, Xiaoxing, 2024. "Risk spillover within the carbon-energy system – New evidence considering China's national carbon market," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1227-1240.
    146. Kuo-Hsuan Chin & Xin-Hua Zheng, 2024. "Stability of Phillips Curve: The case of Taiwan," Economics Bulletin, AccessEcon, vol. 44(2), pages 635-651.
    147. Chi-Young Choi & Alexander Chudik & Aaron Smallwood, 2024. "Time-varying Persistence of House Price Growth: The Role of Expectations and Credit Supply," Globalization Institute Working Papers 426, Federal Reserve Bank of Dallas.
    148. Ryou, Jai Won & Baak, Saang Joon & Kim, Won Joong, 2019. "Effects of Japanese quantitative easing policy on the economies of Japan and Korea," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 241-252.
    149. Jong-Min Kim & Hojin Jung & Li Qin, 2016. "Linear time-varying regression with a DCC-GARCH model for volatility," Applied Economics, Taylor & Francis Journals, vol. 48(17), pages 1573-1582, April.
    150. Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
    151. Boufateh, Talel & Saadaoui, Zied, 2021. "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 102(C).
    152. Dorra Zouari & Achraf Ghorbel & Sonia Ghorbel-Zouari & Younes Boujelbène, 2014. "Volatility spillovers and dynamic correlation between liquidity risk factors in Tunisian banks," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 6(1), pages 1-26.
    153. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
    154. Cevik, Emrah Ismail & Kenc, Turalay & Goodell, John W. & Gunay, Samet, 2025. "Enhancing banking systemic risk indicators by incorporating volatility clustering, variance risk premiums, and considering distance-to-capital," International Review of Economics & Finance, Elsevier, vol. 97(C).
    155. Ge, Futing & Zhang, Weiguo, 2022. "The determinants of cross-border bond risk premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    156. Chen, Yunping & Chen, Huanhuan & Li, Guorong & Jiao, Dongdan & Xu, Xiangyun, 2021. "Time-varying effect of macro-prudential policies on household credit growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 241-254.
    157. Jaromir Baxa & Miroslav Plasil & Borek Vasicek, 2013. "Inflation and the Steeplechase Between Economic Activity Variables," Working Papers 2013/15, Czech National Bank, Research and Statistics Department.
    158. Liu, Rongyan & He, Lingyun & Xia, Yufei & Fu, Yating & Chen, Ling, 2023. "Research on the time-varying effects among green finance markets in China: A fresh evidence from multi-frequency scale perspective," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    159. Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta, 2013. "Evolution of Monetary Policy in the US: The Role of Asset Prices," Working papers 2013-20, University of Connecticut, Department of Economics, revised Dec 2013.
    160. Wu, Ruirui & Qin, Zhongfeng, 2024. "Asymmetric volatility spillovers among new energy, ESG, green bond and carbon markets," Energy, Elsevier, vol. 292(C).
    161. Zhang, Xinyi & Chen, Yufan & Wang, Tianqi, 2024. "Digital economy, CO2 emissions and China's environmental sustainable development— an analysis based on TVP-VAR model," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1945-1957.
    162. Beatrice Simo-Kengne & Stephen Miller & Rangan Gupta & Goodness Aye, 2015. "Time-Varying Effects of Housing and Stock Returns on U.S. Consumption," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 339-354, April.
    163. Guglielmo Maria Caporale & Abdurrahman Nazif Çatık & Mohamad Husam Helmi & Coşkun Akdeniz & Ali İlhan, 2024. "Time-varying effects of the COVID-19 pandemic on stock markets and economic activity: evidence from the US and Europe," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(2), pages 529-558, May.
    164. Cao, Guangxi & Xie, Wenhao, 2022. "Asymmetric dynamic spillover effect between cryptocurrency and China's financial market: Evidence from TVP-VAR based connectedness approach," Finance Research Letters, Elsevier, vol. 49(C).
    165. Goodness C. Aye & Rangan Gupta & Mampho P. Modise, 2015. "Do Stock Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-varying Vector Autoregressive Model," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(2), pages 176-196, August.
    166. Yang, Cai & Zhang, Hongwei & Qin, Yun & Niu, Zibo, 2024. "Partisan conflict, trade policy uncertainty, and the energy market," Research in International Business and Finance, Elsevier, vol. 71(C).
    167. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    168. Lu Liu & En-Ze Wang & Chien-Chiang Lee, 2021. "Impact of the COVID-19 Pandemic on the Crude Oil and Stock Markets in the US - A Time-Varying Analysis," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-4.
    169. Kai Dong & Ching-Ter Chang & Shaonan Wang & Xiaoxi Liu, 2021. "The Dynamic Correlation among Financial Leverage, House Price, and Consumer Expenditure in China," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    170. Huang, Jianbai & Dong, Xuesong & Chen, Jinyu & Zhong, Meirui, 2022. "Do oil prices and economic policy uncertainty matter for precious metal returns? New insights from a TVP-VAR framework," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 433-445.
    171. Guo, Yaoqi & Shi, Fengyuan & Lin, Boqiang & Zhang, Hongwei, 2023. "The impact of oil shocks from different sources on China's clean energy metal stocks: An analysis of spillover effects based on a time-varying perspective," Resources Policy, Elsevier, vol. 81(C).
    172. Nadia Basty & Mouna Abidly, 2025. "Return and volatility interconnectedness between metaverse tokens, commodities, clean and green energy," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(6), pages 5121-5148, December.
    173. Anna Gainetdinova & Kazi Sohag, 2025. "The dynamic response of Russian exchange rate to precious metals and minerals prices," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(1), pages 59-75, March.
    174. Ziyan Zhao & Qingfeng Liu, 2024. "Time-Varying Structural Approximate Dynamic Factor Model," Economic Growth Centre Working Paper Series 2401, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    175. Pakrooh, Parisa & Manera, Matteo, 2024. "Causality, Connectedness, and Volatility Pass-through among Energy-Metal-Stock-Carbon Markets: New Evidence from the EU," FEEM Working Papers 344790, Fondazione Eni Enrico Mattei (FEEM).
    176. Jiangze Du & Xizhuo Chen & Jincheng Gong & Xiao Lin & Kin Keung Lai, 2023. "Analysis of stock markets risk spillover with copula models under the background of Chinese financial opening," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3997-4019, October.
    177. Toshitaka Sekine & Frank Packer & Shunichi Yoneyama, 2022. "Individual Trend Inflation," IMES Discussion Paper Series 22-E-14, Institute for Monetary and Economic Studies, Bank of Japan.
    178. Ya-Ling Lin & Wen-Yi Chen & Shwn-Huey Shieh, 2020. "Age Structural Transitions and Copayment Policy Effectiveness: Evidence from Taiwan’s National Health Insurance System," IJERPH, MDPI, vol. 17(12), pages 1-17, June.
    179. Shikha Gupta & Nand Kumar, 2021. "Dynamics of globalization effect in India," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1394-1406, September.
    180. Thomas A. Lubik & Christian Matthes, 2015. "Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 323-352.
    181. Evrim Mandaci, Pinar & Cagli, Efe Caglar, 2022. "Herding intensity and volatility in cryptocurrency markets during the COVID-19," Finance Research Letters, Elsevier, vol. 46(PB).
    182. Wen-Yi Chen, 2017. "Demographic structure and monetary policy effectiveness: evidence from Taiwan," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2521-2544, November.
    183. NAKAJIMA, Jouchi, 2025. "Time-varying Local Projections with Stochastic Volatility," Discussion Paper Series 761, Institute of Economic Research, Hitotsubashi University.
    184. Niall O’Sullivan & Sheng Zhu & Jason Foran, 2019. "Sentiment versus liquidity pricing effects in the cross-section of UK stock returns," Journal of Asset Management, Palgrave Macmillan, vol. 20(4), pages 317-329, July.
    185. Mohamad, Azhar, 2022. "Safe flight to which haven when Russia invades Ukraine? A 48-hour story," Economics Letters, Elsevier, vol. 216(C).
    186. Xu, Ziyao & Zhou, Deheng & Ma, Junfeng & Yuan, Jing, 2025. "The time-varying relationship between climate uncertainty, low-carbon stocks and green bonds," The North American Journal of Economics and Finance, Elsevier, vol. 77(C).
    187. Rubbaniy, Ghulame & Polyzos, Stathis & Rizvi, Syed Kumail Abbas & Tessema, Abiot, 2021. "COVID-19, Lockdowns and herding towards a cryptocurrency market-specific implied volatility index," Economics Letters, Elsevier, vol. 207(C).
    188. Ke Huang & Zuominyang Zhang & Yakun Wang, 2025. "Characteristics of RMB Internationalization and Stock Market Co-movement Between China and RCEP Countries: An Analysis Based on Kernel PCA and SV-TVP-SVAR Model," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3945-3969, June.
    189. Guevara, Carlos & Rodríguez, Gabriel, 2020. "The role of credit supply shocks in pacific alliance countries: A TVP-VAR-SV approach," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    190. Etsuro Shioji, 2015. "Time varying pass-through: Will the yen depreciation help Japan hit the inflation," Working Papers e092, Tokyo Center for Economic Research.
    191. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.
    192. Yingman Wang & Yubin Huangfu, 2024. "The Impact of Pig Futures on the Price Transmission in the Pig Industry Chain during Market Shocks," Agriculture, MDPI, vol. 14(8), pages 1-18, August.
    193. Gong, Xu & Jin, Yujing & Liu, Tangyong, 2023. "Analyzing pure contagion between crude oil and agricultural futures markets," Energy, Elsevier, vol. 269(C).
    194. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
    195. Huang, Yingying & Duan, Kun & Urquhart, Andrew, 2023. "Time-varying dependence between Bitcoin and green financial assets: A comparison between pre- and post-COVID-19 periods," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    196. Noori, Mohammad, 2024. "Stock-oil comovements through fear, uncertainty, and expectations: Evidence from conditional comoments," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 529-551.
    197. Haque, Qazi & Magnusson, Leandro M., 2021. "Uncertainty shocks and inflation dynamics in the U.S," Economics Letters, Elsevier, vol. 202(C).
    198. Vittorio Peretti & Rangan Gupta & Roula Inglesi-Lotz, 2012. "Do House Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-Varying Vector Autoregressive Model," Working Papers 201216, University of Pretoria, Department of Economics.
    199. Annalisa Cadonna & Sylvia Fruhwirth-Schnatter & Peter Knaus, 2019. "Triple the gamma -- A unifying shrinkage prior for variance and variable selection in sparse state space and TVP models," Papers 1912.03100, arXiv.org.
    200. Zhao, Yang & Zhang, Maojun & Pei, Ziting & Nan, Jiangxia, 2023. "The effects of quantitative easing on Bitcoin prices," Finance Research Letters, Elsevier, vol. 57(C).
    201. Yao, Xiaoyang & Maimaitijiang, Sairidaer & Li, Jianfeng & Le, Wei, 2025. "How financial markets respond to climate policy uncertainty: A dynamic resilience analysis," Journal of Commodity Markets, Elsevier, vol. 39(C).
    202. Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019. "Empirical evidence on the dynamics of investment under uncertainty in the U.S," Economics Discussion / Working Papers 19-18, The University of Western Australia, Department of Economics.
    203. Ha, Le Thanh, 2025. "Measuring the contemporal and lead connectedness level between investor sentiment and exchange rate dynamics in Vietnam: Novel findings from TVP-VAR-SV technique," International Economics, Elsevier, vol. 181(C).
    204. Jun Gao & Sheng Zhu & Niall O’Sullivan & Meadhbh Sherman, 2019. "The Role of Economic Uncertainty in UK Stock Returns," JRFM, MDPI, vol. 12(1), pages 1-16, January.
    205. Yang, Jie & Yang, Hao & Feng, Yun, 2025. "Quantifying the geopolitical risk resilience of commodity futures markets," Economics Letters, Elsevier, vol. 247(C).
    206. Liu, Zhenhua & Chen, Shumin & Zhong, Hongyu & Ding, Zhihua, 2024. "Coal price shocks, investor sentiment, and stock market returns," Energy Economics, Elsevier, vol. 135(C).
    207. Long, Shaobo & Guo, Jiaqi, 2022. "Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks," Research in International Business and Finance, Elsevier, vol. 62(C).
    208. Abdhut Deheri, 2021. "The Effects of Monetary Policy on Output and Inflation in India: A Time-varying Approach," Economics Bulletin, AccessEcon, vol. 41(3), pages 1603-1614.
    209. Sushanta K Mallick & Madhusudan Mohanty & Fabrizio Zampolli, 2017. "Market volatility, monetary policy and the term premium," BIS Working Papers 606, Bank for International Settlements.
    210. Etsuro Shioji, 2014. "A Pass-Through Revival," Asian Economic Policy Review, Japan Center for Economic Research, vol. 9(1), pages 120-138, January.
    211. Zheng, Deyuan & Zhao, Chunguang & Hu, Jiaying, 2023. "Impact of geopolitical risk on the volatility of natural resource commodity futures prices in China," Resources Policy, Elsevier, vol. 83(C).
    212. Li, Shaoyu & Zhu, Chunhui & Shang, Yuhuang, 2023. "Hedging demand and near-zero swap spreads: Evidence from the Chinese interest rate swap market," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 170-185.
    213. Mohamad, Azhar & Stavroyiannis, Stavros, 2022. "Do birds of a feather flock together? Evidence from time-varying herding behaviour of bitcoin and foreign exchange majors during Covid-19," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    214. Andrew Filardo & Jouchi Nakajima, 2018. "Effectiveness of unconventional monetary policies in a low interest rate environment," BIS Working Papers 691, Bank for International Settlements.
    215. Nikolaos A. Kyriazis, 2021. "Trade Policy Uncertainty Effects on Macro Economy and Financial Markets: An Integrated Survey and Empirical Investigation," JRFM, MDPI, vol. 14(1), pages 1-20, January.
    216. Liu, Jing & Zhao, Xin & Ding, Lili, 2025. "A multi-scale analysis of spillover effects between the Chinese carbon market and related markets: The impact of the geopolitical risk," Energy Economics, Elsevier, vol. 147(C).
    217. Hussain Ali Bekhet & Nor Hamisham Harun, 2017. "Elasticity and Causality among Electricity Generation from Renewable Energy and Its Determinants in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 202-216.
    218. Yifei Li & Yuhang Bai, 2023. "Research on the Impact of Global Economic Policy Uncertainty on Manufacturing: Evidence from China, the United States, and the European Union," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    219. Binhong Wu & Hongyu Wang & Bangsheng Xie & Zhizhong Xie, 2024. "Source tracing and contagion measurement of carbon emission trading price fluctuation in China from the perspective of major emergencies," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-19, March.
    220. Wu, Jinyan & Wang, Yajun, 2025. "The measurement of financialization and its dynamic relevance with the real economy growth: A TVP-VAR analysis," International Review of Financial Analysis, Elsevier, vol. 106(C).
    221. Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
    222. Niaz Bashiri Behmiri & Maryam Ahmadi & Juha-Pekka Junttila & Matteo Manera, 2021. "Financial Stress and Basis in Energy Markets," The Energy Journal, , vol. 42(5), pages 67-88, September.
    223. Phan, Tuan, 2016. "Has Monetary Policy Become More Aggressive, But Less Effective Over Time?," MPRA Paper 107200, University Library of Munich, Germany.
    224. Kaihatsu, Sohei & Nakajima, Jouchi, 2018. "Has trend inflation shifted?: An empirical analysis with an equally-spaced regime-switching model," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 69-83.
    225. Ghassen El Montasser & Rangan Gupta & Jooste Charl & Stephen M. Miller, 2020. "The Time-series Linkages between US Fiscal Policy and Asset Prices," Public Finance Review, , vol. 48(3), pages 303-339, May.
    226. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2024. "Inflation Target at Risk: A Time-varying Parameter Distributional Regression," Papers 2403.12456, arXiv.org, revised Jan 2026.
    227. Sylvia Fruhwirth-Schnatter & Peter Knaus, 2022. "Sparse Bayesian State-Space and Time-Varying Parameter Models," Papers 2207.12147, arXiv.org.
    228. Meng Chen & Haslindar Ibrahim & Zhilin Chen & Xuke Li, 2025. "Interest Rate Marketization and Asset Prices Transmission Channel: Dynamic Impacts on the Chinese Economy," Business and Economic Research, Macrothink Institute, vol. 15(3), pages 1-24, December.
    229. Jingbin Wang & Beibei Xia & Huiling Qiao, 2022. "Time‐varying impact of housing price fluctuations on banking financial risk," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(2), pages 457-467, March.
    230. Qin, Yun & Chen, Jinyu & Dong, Xuesong, 2021. "Oil prices, policy uncertainty and travel and leisure stocks in China," Energy Economics, Elsevier, vol. 96(C).
    231. Sasaki, Yuri & Yoshida, Yushi & Otsubo, Piotr Kansho, 2022. "Exchange rate pass-through to Japanese prices: Import prices, producer prices, and the core CPI," Journal of International Money and Finance, Elsevier, vol. 123(C).
    232. Amine Ben Amar, 2022. "On the role of Islamic banks in the monetary policy transmission in Saudi Arabia," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 55-94, March.
    233. Christophe Andre & David Gabauer & Rangan Gupta, 2020. "Time-Varying Spillovers between Housing Sentiment and Housing Market in the United States," Working Papers 202091, University of Pretoria, Department of Economics.
    234. Si Mohammed, Kamel & Khalfaoui, Rabeh & Doğan, Buhari & Sharma, Gagan Deep & Mentel, Urszula, 2023. "The reaction of the metal and gold resource planning in the post-COVID-19 era and Russia-Ukrainian conflict: Role of fossil fuel markets for portfolio hedging strategies," Resources Policy, Elsevier, vol. 83(C).
    235. Gustavo Romero Cardoso & Marcio Issao Nakane, 2024. "What's in a headline? News impact on the Brazilian economy," Working Papers, Department of Economics 2024_12, University of São Paulo (FEA-USP).
    236. Jawadi, Fredj & Mallick, Sushanta K. & Idi Cheffou, Abdoulkarim & Augustine, Anish, 2021. "Does higher unemployment lead to greater criminality? Revisiting the debate over the business cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 448-471.
    237. Boubekeur Baba & Güven Sevil, 2021. "Bayesian analysis of time-varying interactions between stock returns and foreign equity flows," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
    238. Ramesh, Shietal & Low, Rand Kwong Yew & Faff, Robert, 2025. "Modelling time-varying volatility spillovers across crises: Evidence from major commodity futures and the US stock market," Energy Economics, Elsevier, vol. 143(C).
    239. Jaromir Baxa & Jan Zacek, 2022. "Monetary Policy and the Financial Cycle: International Evidence," Working Papers 2022/4, Czech National Bank, Research and Statistics Department.
    240. Reusens Peter & Croux Christophe, 2017. "Detecting time variation in the price puzzle: a less informative prior choice for time varying parameter VAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
    241. Georgiana Pleșa, 2024. "Impact of Globalization on Macroeconomic Dynamics Using a Time-varying Bayesian VAR," Prague Economic Papers, Prague University of Economics and Business, vol. 2024(4), pages 380-413.
    242. Sohag, Kazi & Kalina, Irina & Elsayed, Ahmed H., 2023. "Financial stress in Russia: Exploring the impact of oil market shocks," Resources Policy, Elsevier, vol. 86(PB).
    243. Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
    244. Mohamad Husam Helmi & Mohammed I. Abu Eleyan & Abdurrahman Nazif Çatık & Esra Ballı, 2023. "The Time-Varying Effects of Oil Shocks on the Trade Balance of Saudi Arabia," Resources, MDPI, vol. 12(5), pages 1-18, April.
    245. Creel, Jérôme & Hubert, Paul, 2015. "Has Inflation Targeting Changed The Conduct Of Monetary Policy?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 1-21, January.
    246. Wang, Yiding & Zhao, Xiaojun & Shang, Junyan, 2025. "Dynamic risk spillover in green financial markets: A wavelet frequency analysis from China," Energy Economics, Elsevier, vol. 143(C).
    247. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2019. "Restoring euro area monetary transmission: Which role for government bond rates?," Empirical Economics, Springer, vol. 57(3), pages 991-1021, September.
    248. Kassouri, Yacouba & Kacou, Kacou Yves Thierry & Alola, Andrew Adewale, 2021. "Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives," Energy, Elsevier, vol. 232(C).
    249. Hu, Wenbin & Zhou, Junzi, 2025. "Measuring and forecasting financial system resilience under multiple shocks: A survival analysis approach," Pacific-Basin Finance Journal, Elsevier, vol. 94(C).
    250. Guangxi Cao, 2012. "Time-Varying Effects of Changes in the Interest Rate and the RMB Exchange Rate on the Stock Market of China: Evidence from the Long-Memory TVP-VAR Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 230-248, July.
    251. Sohei Kaihatsu & Shogo Nakano & Hiroki Yamamoto, 2024. "Macroeconomic Impact of Shifts in Long-term Inflation Expectations," Bank of Japan Working Paper Series 24-E-18, Bank of Japan.
    252. Hiroyuki Ijiri & Yoichi Matsubayashi, 2016. "Quantitative Easing Policy, Exchange Rates and Business Activity by Industry in Japan from 2001-2006," Discussion Papers 1611, Graduate School of Economics, Kobe University.
    253. Coşkun Akdeniz & Abdurrahman Nazif Çatık & Esra Ballı, 2022. "Inflationary effects of oil price and exchange rate shocks in South Africa: Evidence from time‐varying pass‐through coefficients," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 301-328, September.
    254. Huang, Qian & Wang, Xiangning & Zhang, Shuguang, 2021. "The effects of exchange rate fluctuations on the stock market and the affecting mechanisms: Evidence from BRICS countries," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    255. Zheng Fan & Worapree Maneesoonthorn & Yong Song, 2025. "A New Perspective of the Meese-Rogoff Puzzle: Application of Sparse Dynamic Shrinkage," Papers 2507.14408, arXiv.org.
    256. Jun Gao & Sheng Zhu, 2019. "A New Structural Analysis of Inflation and Economic Activity," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(1), pages 35-51, June.
    257. Mehmet Balcilar & David Roubaud & Muhammad Shahbaz, 2019. "The Impact of Energy Market Uncertainty Shocks on Energy Transition in Europe," The Energy Journal, , vol. 40(1_suppl), pages 55-80, June.
    258. Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta & Goodness C. Aye, 2013. "Time-Varying Effects of Housing and Stock Prices on U.S. Consumption," Working papers 2013-13, University of Connecticut, Department of Economics.
    259. Chen, Qi-an & Li, Huashi, 2023. "How does exchange rate elasticity of aggregate consumption adjust currency risk price in the stock market?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 590-610.
    260. Ping Li & Peiyao Zhang & Yanhong Guo & Jiahong Li, 2024. "How has the relationship between major financial markets changed during the Russia–Ukraine conflict?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    261. Kavtaradze, Lasha, 2014. "Inflation Dynamics in Georgia," MPRA Paper 59966, University Library of Munich, Germany.
    262. Baillie, Richard T. & Cho, Dooyeon, 2014. "Time variation in the standard forward premium regression: Some new models and tests," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 52-63.
    263. Drabik, Dusan & Ciaian, Pavel & Pokrivcak, Jan, 2014. "Biofuels and vertical price transmission: the case of the U.S. corn, ethanol and food markets," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182697, European Association of Agricultural Economists.
    264. Satoshi Urasawa, 2018. "Structural Change and Business Cycles in Japan: Revisiting the Stylized Facts," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 243-281, November.
    265. Zribi, Wissal & Boufateh, Talel & Guesmi, Khaled, 2023. "Climate uncertainty effects on bitcoin ecological footprint through cryptocurrency environmental attention," Finance Research Letters, Elsevier, vol. 58(PD).
    266. Marcio Santetti, 2023. "A time-varying finance-led model for U.S. business cycles," Papers 2310.05153, arXiv.org, revised Jan 2024.
    267. Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015. "Changes in inflation dynamics under inflation targeting? Evidence from Central European countries," Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
    268. Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
    269. Babalos, Vassilios & Stavroyiannis, Stavros & Gupta, Rangan, 2015. "Do commodity investors herd? Evidence from a time-varying stochastic volatility model," Resources Policy, Elsevier, vol. 46(P2), pages 281-287.
    270. Wang, Yifan & You, Xiqi & Zhang, Yanhang & Yang, Hanfang, 2024. "Does the risk spillover in global financial markets intensify during major public health emergencies? Evidence from the COVID-19 crisis," Pacific-Basin Finance Journal, Elsevier, vol. 83(C).
    271. Jiasheng Yu & Maojun Zhang & Ruoyu Liu & Guodong Wang, 2023. "Dynamic Effects of Climate Policy Uncertainty on Green Bond Volatility: An Empirical Investigation Based on TVP-VAR Models," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    272. Dong, Xiao & Yu, Mingzhe, 2024. "Time-varying effects of macro shocks on cross-border capital flows in China's bond market," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    273. Li, Houjian & Li, Qingman & Huang, Xinya & Guo, Lili, 2023. "Do green bonds and economic policy uncertainty matter for carbon price? New insights from a TVP-VAR framework," International Review of Financial Analysis, Elsevier, vol. 86(C).
    274. 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).
    275. Hiroyuki Ijiri, 2017. "Transmission mechanisms in Japan’s quantitative easing policy (2001–2006)," Economics and Business Letters, Oviedo University Press, vol. 6(2), pages 35-41.
    276. Sun, Chentong & Pan, Chu & Xu, Nuo, 2025. "Industry-level climate policy risk exposure and corporate ESG performance," Finance Research Letters, Elsevier, vol. 81(C).
    277. Gong, Jue & Wang, Gang-Jin & Xie, Chi & Uddin, Gazi Salah, 2024. "How do market volatility and risk aversion sentiment inter-influence over time? Evidence from Chinese SSE 50 ETF options," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    278. Bala Dahiru Abdullahi, 2016. "Time-Varying VAR with Stochastic Volatility and Monetary Policy Dynamics in Nigeria," Economics Bulletin, AccessEcon, vol. 36(4), pages 2237-2249.
    279. Xiaoqing An & William A. Barnett & Xue Wang & Qingyuan Wu, 2022. "Brexit Spillovers: How Economic Policy Uncertainty Affects Foreign Direct Investment and International Trade," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202208, University of Kansas, Department of Economics.
    280. Shikha Gupta & Nand Kumar, 2022. "Globalization Versus Slowbalization: A Perspective on the Indian Economy," Journal of South Asian Development, , vol. 17(1), pages 84-107, April.
    281. Jiao, Jing-Wen & Yin, Jun-Ping & Xu, Ping-Feng & Zhang, Juan & Liu, Yuan, 2023. "Transmission mechanisms of geopolitical risks to the crude oil market——A pioneering two-stage geopolitical risk analysis approach," Energy, Elsevier, vol. 283(C).
    282. Pervin, Shahida, 2018. "Dynamics and Interactions of Monetary Policy and Macroeconomic Variables: Empirical Investigation in the UK Economy with Bayesian VAR," MPRA Paper 91816, University Library of Munich, Germany.
    283. Gabriel Rodríguez & Carlos Guevara, 2018. "The Role of Loan Supply Shocks in Pacific Alliance Countries: A TVP-VAR-SV Approach," Documentos de Trabajo / Working Papers 2018-467, Departamento de Economía - Pontificia Universidad Católica del Perú.
    284. Kavanagh, Ella & Zhu, Sheng & O’Sullivan, Niall, 2022. "Monetary policy, trade-offs and the transmission of UK Monetary Policy," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1128-1147.
    285. Shioji, Etsuro, 2015. "Time varying pass-through: Will the yen depreciation help Japan hit the inflation target?," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 43-58.
    286. Ouyang, Yao & Lu, Min & Ouyang, Zisheng, 2025. "International crises, national scale, and economic resilience in the 21st century," Structural Change and Economic Dynamics, Elsevier, vol. 75(C), pages 618-637.
    287. Peter Knaus & Angela Bitto-Nemling & Annalisa Cadonna & Sylvia Fruhwirth-Schnatter, 2019. "Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP," Papers 1907.07065, arXiv.org, revised Nov 2020.
    288. Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
    289. Chenrui Zhang & Xinyi Wu & Hailu Deng & Huiwei Zhang, 2022. "A time-varying study of Chinese investor sentiment, stock market liquidity and volatility: Based on deep learning BERT model and TVP-VAR model," Papers 2205.05719, arXiv.org, revised May 2022.
    290. Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta, 2014. "Evolution of the Monetary Transmission Mechanism in the US: The Role of Asset Returns," Working Papers 1405, University of Nevada, Las Vegas , Department of Economics.
    291. Ameyaw, Emmanuel, 2024. "The macroeconomic effects of productivity shocks: Predictions of conventional business cycle models are not always incompatible with SSA economies," Research in Economics, Elsevier, vol. 78(4).
    292. Jose Barrales-Ruiz & Codrina Rada & Rudiger von Arnim, 2024. "Evidence on Goodwin cycles across US golden age and neoliberal era," Working Papers 2410, New School for Social Research, Department of Economics.
    293. Zhenhua Liu & Tingting Zhu & Zhaoping Duan & Shanqi Xuan & Zhihua Ding & Shan Wu, 2023. "Time-varying impacts of oil price shocks on China’s stock market under economic policy uncertainty," Applied Economics, Taylor & Francis Journals, vol. 55(9), pages 963-989, February.
    294. Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
    295. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2020. "The effects of geopolitical risks on the stock dynamics of China's rare metals: A TVP-VAR analysis," Resources Policy, Elsevier, vol. 68(C).
    296. Ma, Chao-Qun & Liu, Xukang & Klein, Tony & Ren, Yi-Shuai, 2025. "Decoding the nexus: How fintech and AI stocks drive the future of sustainable finance," International Review of Economics & Finance, Elsevier, vol. 98(C).
    297. Yuee Li & Jingdong Li, 2021. "How Does China’s Economic Policy Uncertainty Affect the Sustainability of Its Net Grain Imports?," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    298. Foglia, Matteo & Palomba, Giulio & Tedeschi, Marco, 2023. "Disentangling the geopolitical risk and its effects on commodities. Evidence from a panel of G8 countries," Resources Policy, Elsevier, vol. 85(PB).
    299. Qiangsheng Mai & Xiaoyan Wang, 2024. "Time-Varying Effects of China’s Agricultural OFDI on the Sustainability of Bilateral Agricultural Trade Within RCEP Countries: Multiple Analyses Based on the Model of Trade Gravity and TVP-VAR," Sustainability, MDPI, vol. 17(1), pages 1-24, December.
    300. Zhu, Dandan & Wang, Xiangdong & Zhang, Yifan, 2025. "Narrative monetary policy expectation in China," China Economic Review, Elsevier, vol. 94(PB).
    301. Mihaela Simionescu & Nicolas Schneider, 2023. "Monetary shocks and production network in the G7 countries," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-32, December.
    302. Alexander Zimper, 2013. "The minimal confidence levels of Basel capital regulation," Working Papers 201305, University of Pretoria, Department of Economics.
    303. Meléndez, Alexander & Rodríguez, Gabriel, 2025. "Evolving impacts of fiscal policy on macroeconomic fluctuations in Peru," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1135-1158.
    304. Jouchi Nakajima, 2020. "Discussion of “Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions”," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 33-36, February.
    305. Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
    306. Wang, Hao & Xu, Ning & Yin, Haiyan & Ji, Hao, 2022. "The dynamic impact of monetary policy on financial stability in China after crises," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    307. Junli Cheng & Feng Lin, 2022. "The Dynamic Effects of Urban–Rural Income Inequality on Sustainable Economic Growth under Urbanization and Monetary Policy in China," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
    308. Shikha Gupta & Nand Kumar, 2023. "Time varying dynamics of globalization effect in India," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(1), pages 81-97, January.
    309. Amine Ben Amar, 2019. "The Effectiveness of Monetary Policy Transmission in a Dual Banking System: Further Insights from TVP-VAR Model," Economics Bulletin, AccessEcon, vol. 39(4), pages 2317-2332.
    310. Deng, Chuang & Zhao, Xiuyi & Xu, Man, 2022. "Financial cycle and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 47(PA).
    311. Sohei Kaihatsu & Jouchi Nakajima, 2015. "Has Trend Inflation Shifted?: An Empirical Analysis with a Regime-Switching Model," Bank of Japan Working Paper Series 15-E-3, Bank of Japan.
    312. William Gatt, 2016. "Time variation, asymmetry and threshold effect in Malta's Phillips curve," CBM Working Papers WP/02/2016, Central Bank of Malta.
    313. Wang, Yizhi, 2022. "Volatility spillovers across NFTs news attention and financial markets," International Review of Financial Analysis, Elsevier, vol. 83(C).
    314. Sun, Chuanwang & Min, Jialin & Sun, Jiacheng & Gong, Xu, 2023. "The role of China's crude oil futures in world oil futures market and China's financial market," Energy Economics, Elsevier, vol. 120(C).
    315. Zargar, Faisal Nazir & Mohnot, Rajesh & Hamouda, Foued & Arfaoui, Nadia, 2024. "Risk dynamics in energy transition: Evaluating downside risks and interconnectedness in fossil fuel and renewable energy markets," Resources Policy, Elsevier, vol. 92(C).
    316. Song, Yuegang & Zhang, Xiaoyu & Hu, Guoheng, 2023. "Relationships among geopolitical risk, trade policy uncertainty, and crude oil import prices: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    317. Gong, Xu & Shi, Rong & Xu, Jun & Lin, Boqiang, 2021. "Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective," Applied Energy, Elsevier, vol. 285(C).
    318. Kundan Kumar & Rajendra Narayan Paramanik & Anoop S. Kumar, 2023. "Nexus among Indian business cycle–financial cycle and Policy Uncertainty Index," SN Business & Economics, Springer, vol. 3(12), pages 1-19, December.
    319. Shuai Liu & Dingyu Liu & Sibo Ge, 2024. "Impact of external shocks on international corn price fluctuations," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(1), pages 1-11.
    320. Lin, Boqiang & Wang, Zhijun, 2025. "Economic policy uncertainty, coal price, and industrial output: Evidence from China," Energy, Elsevier, vol. 332(C).
    321. André, Christophe & Gabauer, David & Gupta, Rangan, 2021. "Time-varying spillovers between housing sentiment and housing market in the United States☆," Finance Research Letters, Elsevier, vol. 42(C).
    322. Michal Franta, 2011. "Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework," IMES Discussion Paper Series 11-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
    323. Mohammed Ahmar Uddin & Bisharat Hussain Chang & Salem Hamad Aldawsari & Ruoyu Li, 2025. "The Interplay Between Green Finance, Policy Uncertainty and Carbon Market Volatility: A Time Frequency Approach," Sustainability, MDPI, vol. 17(3), pages 1-28, February.
    324. Mehmet Balcilar & Evrim Toren, 2021. "The Time-Varying Effect of Asset Prices on Turkey’s Circular Economy," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    325. Rozina Shaheen, 2019. "Impact of Fiscal Policy on Consumption and Labor Supply under a Time-Varying Structural VAR Model," Economies, MDPI, vol. 7(2), pages 1-15, June.
    326. Ning Xie & Haixin Fan & Xiaochun Liu & Feng Ye & Zhenlin Weng, 2024. "Dynamic impacts of public health events on price fluctuations in broiler industry Chain in China: Evidence from COVID-19 epidemic," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-16, July.
    327. Takeshi Kimura & Jouchi Nakajima, 2013. "Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach," Bank of Japan Working Paper Series 13-E-7, Bank of Japan.
    328. Kim, Won Joong & Hammoudeh, Shawkat & Hyun, Jun Seog & Gupta, Rangan, 2017. "Oil price shocks and China's economy: Reactions of the monetary policy to oil price shocks," Energy Economics, Elsevier, vol. 62(C), pages 61-69.
    329. Owen Grech & Noel Rapa, 2016. "STREAM: A structural macro-econometric model of the Maltese economy," CBM Working Papers WP/01/2016, Central Bank of Malta.
    330. Lai, Hung-Cheng & Wang, Kuan-Min, 2014. "Relationship between the trading behavior of three institutional investors and Taiwan Stock Index futures returns," Economic Modelling, Elsevier, vol. 41(C), pages 156-165.
    331. Kuan-Min Wang & Thanh-Binh Nguyen Thi & Yuan-Ming Lee, 2021. "Is gold a safe haven for the dynamic risk of foreign exchange?," Future Business Journal, Springer, vol. 7(1), pages 1-17, December.
    332. Capasso Salvatore & Oreste Napolitano & Ana Laura Vivero, 2023. "The Financial Conditions Index as an additional tool for policymakers in developing countries: the Mexican case," CSEF Working Papers 664, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    333. Athambawa Jahfer & Abdul Hameed Mulafara, 2016. "Dividend policy and share price volatility: evidence from Colombo stock market," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 8(2), pages 97-108.
    334. Ramazan EKİNCİ & Osman TÜZÜN & Fatih CEYLAN & Hakan KAHYAOĞLU, 2017. "Dışa Açıklık ile İşsizlik Arasındaki İlişki: Seçilmiş AB Ülkeleri ve Türkiye Üzerine Zamana Göre Değişen Parametreli Bir Analiz Algıları," Sosyoekonomi Journal, Sosyoekonomi Society, issue 25(31).
    335. Hwang, So Jung & Suh, Hyunduk, 2021. "Overall and time-varying effects of global and domestic uncertainty on the Korean economy," Journal of Asian Economics, Elsevier, vol. 76(C).
    336. Jushuang Qin & Menglu Ma & Jiabin Shi & Shurui Ma & Baoguo Wu & Xiaohui Su, 2023. "The Time-Lag Effect of Climate Factors on the Forest Enhanced Vegetation Index for Subtropical Humid Areas in China," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    337. Sanjay B Singh, 2025. "The impact of u.s. monetary policy on carbon emissions: evidence from a TVP-VAR model with stochastic volatility," Economics Bulletin, AccessEcon, vol. 45(1), pages 458-472.

  23. Jouchi Nakajima & Toshiaki Watanabe, 2011. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model with the Ordering of Variables for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd11-196, Institute of Economic Research, Hitotsubashi University.

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    2. Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
    3. Cai, Yifei, 2016. "短期资本流动、经济政策不确定性与恐慌指数—基于时变分析框架下的研究 [Short-term Capital Flow, Economic Policy Uncertainty and VIX—Evidence from a Time-varying Analysis Framework]," MPRA Paper 73213, University Library of Munich, Germany.
    4. Michaelis, Henrike, 2024. "Changes in the euro area interest rate pass-through," Discussion Papers 21/2024, Deutsche Bundesbank.
    5. Martin Feldkircher & Kazuhiko Kakamu, 2018. "How does monetary policy affect income inequality in Japan? Evidence from grouped data," Papers 1803.08868, arXiv.org, revised Jul 2021.
    6. Su, Chi-Wei & Yang, Shengjie & Qin, Meng & Lobonţ, Oana-Ramona, 2023. "Gold vs bitcoin: Who can resist panic in the U.S.?," Resources Policy, Elsevier, vol. 85(PA).
    7. Jamshaid ur Rehman & Khalil Ahmad & Jawaria Arif, 2022. "Transmission Mechanism of Monetary Policy in BRICS Countries: A Comparative Response with the USA," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 23-34, December.
    8. Dahem, Ahlem & Skander, Slim & Fatma, Siala Guermazi, 2017. "Time Varying VAR Analysis for Disaggregated Exchange Rate Pass-through in Tunisia," MPRA Paper 79759, University Library of Munich, Germany, revised 2017.
    9. Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
    10. Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil price shocks and uncertainty: How stable is their relationship over time?," Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
    11. Yang, Tianle & Zhou, Fangxing & Du, Min & Du, Qunyang & Zhou, Shirong, 2023. "Fluctuation in the global oil market, stock market volatility, and economic policy uncertainty: A study of the US and China," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 377-387.
    12. Wang, Yonglian & Wang, Lijun & Pan, Changchun & Hong, Songzhi, 2022. "Economic policy uncertainty and price pass-through effect of exchange rate in China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
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    14. Masahiko Shibamoto, 2016. "Source of Underestimation of the Monetary Policy Effect: Re-Examination of the Policy Effectiveness in Japan's 1990s," Manchester School, University of Manchester, vol. 84(6), pages 795-810, December.
    15. Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
    16. Hartwig, Benny, 2020. "Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model," Discussion Papers 34/2020, Deutsche Bundesbank.
    17. Lin, Boqiang & Zhang, Zongyou, 2025. "Geopolitics of renewable energy development: The role of energy metals," Energy Policy, Elsevier, vol. 198(C).
    18. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
    19. Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2017. "Bayesian semiparametric multivariate stochastic volatility with an application to international stock-market co-movements," CQE Working Papers 6217, Center for Quantitative Economics (CQE), University of Muenster.
    20. Toparlı, Elif Akay & Çatık, Abdurrahman Nazif & Balcılar, Mehmet, 2019. "The impact of oil prices on the stock returns in Turkey: A TVP-VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    21. Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
    22. Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility," Energy Economics, Elsevier, vol. 45(C), pages 66-98.
    23. Wang, Cong & Chen, Bo & Song, Yu & Wang, Xinyi, 2025. "Sino–US relations, climate policy uncertainty and rare earth prices," Energy, Elsevier, vol. 327(C).
    24. Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
    25. Mohsen Khezri & Seyed Ehsan Hosseinidoust & Mohammad Kazem Naziri, 2019. "Investigating the Temporary and Permanent Influential Variables on Iran Inflation Using TVP-DMA Models," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 23(1), pages 209-234, Winter.
    26. Yoshiyuki Nakazono & Satoshi Ikeda, 2016. "Stock Market Responses Under Quantitative Easing: State Dependence and Transparency in Monetary Policy," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 560-580, December.
    27. Iiboshi, Hirokuni & Iwata, Yasuharu & Kajita, Yuto & Soma, Naoto, 2019. "Time-varying Fiscal Multipliers Identified by Systematic Component: A Bayesian Approach to TVP-SVAR model," MPRA Paper 92631, University Library of Munich, Germany.
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    29. Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).
    30. Choi, Sangyup, 2017. "Variability in the effects of uncertainty shocks: New stylized facts from OECD countries," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 127-144.
    31. Lin, Jie & Xiao, Hao & Chai, Jian, 2023. "Dynamic effects and driving intermediations of oil price shocks on major economies," Energy Economics, Elsevier, vol. 124(C).
    32. Jouchi Nakajima, 2017. "Bayesian analysis of multivariate stochastic volatility with skew return distribution," Econometric Reviews, Taylor & Francis Journals, vol. 36(5), pages 546-562, May.
    33. Fumio Hayashi & Junko Koeda, 2014. "Exiting from QE," NBER Working Papers 19938, National Bureau of Economic Research, Inc.
    34. Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
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    36. Saadaoui, Zied & BOUFATEH, Talel & JIAO, Zhilun, 2023. "On the transmission of oil supply and demand shocks to CO2 emissions in the US by considering uncertainty: A time-varying perspective," Resources Policy, Elsevier, vol. 85(PB).
    37. Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
    38. He, Yongda & Lin, Boqiang, 2018. "Time-varying effects of cyclical fluctuations in China's energy industry on the macro economy and carbon emissions," Energy, Elsevier, vol. 155(C), pages 1102-1112.
    39. Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
    40. Morita, Hiroshi, 2015. "State-dependent effects of fiscal policy in Japan: Do rule-of-thumb households increase the effects of fiscal policy?," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 49-61.
    41. Liang, Ruibin & Cheng, Sheng & Cao, Yan & Li, Xinran, 2024. "Multi-scale impacts of oil shocks on travel and leisure stocks: A MODWT-Bayesian TVP model with shrinkage approach," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    42. Boufateh, Talel & Saadaoui, Zied, 2021. "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 102(C).
    43. Chen, Yunping & Chen, Huanhuan & Li, Guorong & Jiao, Dongdan & Xu, Xiangyun, 2021. "Time-varying effect of macro-prudential policies on household credit growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 241-254.
    44. Guglielmo Maria Caporale & Abdurrahman Nazif Çatık & Mohamad Husam Helmi & Coşkun Akdeniz & Ali İlhan, 2024. "Time-varying effects of the COVID-19 pandemic on stock markets and economic activity: evidence from the US and Europe," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(2), pages 529-558, May.
    45. Anna Gainetdinova & Kazi Sohag, 2025. "The dynamic response of Russian exchange rate to precious metals and minerals prices," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(1), pages 59-75, March.
    46. Junko Koeda, 2018. "Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures," IMES Discussion Paper Series 18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
    47. Huang, Yunying & Zhou, Qi & Yang, Cunyi & Albitar, Khaldoon, 2025. "The relationship between FinTech and energy markets in China," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
    48. Su, Chi-Wei & Qin, Meng & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Factors driving oil price —— from the perspective of United States," Energy, Elsevier, vol. 197(C).
    49. Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
    50. Liu, Dayu & Xu, Ning & Zhao, Tingting & Song, Yang, 2018. "Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 73(C), pages 45-54.
    51. Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019. "Empirical evidence on the dynamics of investment under uncertainty in the U.S," Economics Discussion / Working Papers 19-18, The University of Western Australia, Department of Economics.
    52. Arratibel, Olga & Michaelis, Henrike, 2013. "The Impact of Monetary Policy and Exchange Rate Shocks in Poland: Evidence from a Time-Varying VAR," Discussion Papers in Economics 21088, University of Munich, Department of Economics.
    53. IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116355, University Library of Munich, Germany.
    54. Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the U.S," Economics Discussion / Working Papers 20-25, The University of Western Australia, Department of Economics.
    55. Mustafa Kocoglu & Ferit Kula, 2025. "Testing the equilibrium path of exchange rates, monetary policy, and trade balance in the Türkiye," Economic Change and Restructuring, Springer, vol. 58(3), pages 1-25, June.
    56. WATANABE, Toshiaki, 2025. "Bayesian Analysis of Business Cycles in Japan by Extending the Markov Switching Model," Discussion paper series HIAS-E-148, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    57. Zhao, Lili & Liu, Wenhua & Zhou, Min & Wen, Fenghua, 2022. "Extreme event shocks and dynamic volatility interactions: The stock, commodity, and carbon markets in China," Finance Research Letters, Elsevier, vol. 47(PA).
    58. Feng, Chao & Ma, Shiqun & Xiang, Lijin & Xiao, Zumian, 2025. "The dynamic impact of cryptocurrency implied exchange rates on stock market returns: An empirical study of G7 countries," Research in International Business and Finance, Elsevier, vol. 76(C).
    59. Bariş Gök & Abdurrahman Nazif Çatik, 2016. "Is There Any Time-Varying Relationship between Fiscal and Trade Deficits in Turkey?," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 607-616.
    60. Zhaosu MENG & Wei WEI & Xiaotong LIU & Kedong YIN, 2018. "The Influence of International Capital Flow on the Effectiveness of Chinese Monetary Policy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 21-40, December.
    61. Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
    62. Morita, Hiroshi, 2020. "Empirical Analysis on the Effects of Japanese Fiscal Policy under the Effective Lower Bound," Discussion paper series HIAS-E-97, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    63. Fumio Hayashi & Junko Koeda, 2013. "A Regime-Switching SVAR Analysis of Quantitative Easing," CARF F-Series CARF-F-322, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    64. Zhu, Xuehong & Liao, Jianhui & Chen, Ying, 2021. "Time-varying effects of oil price shocks and economic policy uncertainty on the nonferrous metals industry: From the perspective of industrial security," Energy Economics, Elsevier, vol. 97(C).
    65. Sohag, Kazi & Kalina, Irina & Elsayed, Ahmed H., 2023. "Financial stress in Russia: Exploring the impact of oil market shocks," Resources Policy, Elsevier, vol. 86(PB).
    66. Yoshihiro Ohtsuka, 2018. "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 143-178, April.
    67. Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
    68. Kassouri, Yacouba & Kacou, Kacou Yves Thierry & Alola, Andrew Adewale, 2021. "Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives," Energy, Elsevier, vol. 232(C).
    69. Lokendra Kumawat, 2024. "Time-variation in response of inflation to monetary policy shocks in India: evidence from TVP-VAR models," Indian Economic Review, Springer, vol. 59(1), pages 233-248, June.
    70. Hiroyuki Ijiri & Yoichi Matsubayashi, 2016. "Quantitative Easing Policy, Exchange Rates and Business Activity by Industry in Japan from 2001-2006," Discussion Papers 1611, Graduate School of Economics, Kobe University.
    71. Huang, Qian & Wang, Xiangning & Zhang, Shuguang, 2021. "The effects of exchange rate fluctuations on the stock market and the affecting mechanisms: Evidence from BRICS countries," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    72. Hanisch, Max, 2017. "The effectiveness of conventional and unconventional monetary policy: Evidence from a structural dynamic factor model for Japan," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 110-134.
    73. Joseph P. Byrne & Marco Lorusso & Bing Xu, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," CEERP Working Paper Series 006, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    74. Siyuan Qiu, 2025. "The Measurement and Characteristic Analysis of the Chinese Financial Cycle," IJFS, MDPI, vol. 13(4), pages 1-22, October.
    75. Zareifard, Hamid & Rue, Håvard & Khaledi, Majid Jafari & Lindgren, Finn, 2016. "A skew Gaussian decomposable graphical model," Journal of Multivariate Analysis, Elsevier, vol. 145(C), pages 58-72.
    76. Tsai, I-Chun & Chen, Han-Bo & Lin, Che-Chun, 2024. "The ability of energy commodities to hedge the dynamic risk of epidemic black swans," Resources Policy, Elsevier, vol. 89(C).
    77. Zhong, Yufei & Chen, Xuesheng & Wang, Chengfang & Wang, Zhixian & Zhang, Yuchen, 2023. "The hedging performance of green bond markets in China and the U.S.: Novel evidence from cryptocurrency uncertainty," Energy Economics, Elsevier, vol. 128(C).
    78. Bala Dahiru Abdullahi, 2016. "Time-Varying VAR with Stochastic Volatility and Monetary Policy Dynamics in Nigeria," Economics Bulletin, AccessEcon, vol. 36(4), pages 2237-2249.
    79. Chen Zhu & Jiaxin Chu, 2025. "The impact of chinese big tech on the traditional financial market: evidence from Ant Group," Electronic Commerce Research, Springer, vol. 25(2), pages 879-905, April.
    80. Kavanagh, Ella & Zhu, Sheng & O’Sullivan, Niall, 2022. "Monetary policy, trade-offs and the transmission of UK Monetary Policy," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1128-1147.
    81. Li, Jiazheng & Wang, Tingwei & Su, Zhifang, 2024. "Optimal monetary policy under digital technology shock," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    82. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
    83. Ko, Jun-Hyung & Morita, Hiroshi, 2015. "Fiscal sustainability and regime shifts in Japan," Economic Modelling, Elsevier, vol. 46(C), pages 364-375.
    84. Hu, Guoheng & Liu, Shan & Wu, Guo & Hu, Peng & Li, Ruiqi & Chen, Liujie, 2023. "Economic policy uncertainty, geopolitical risks, and the heterogeneity of commodity price fluctuations in China ——an empirical study based on TVP-SV-VAR model," Resources Policy, Elsevier, vol. 85(PA).
    85. Byrne, Joseph P & Sakemoto, Ryuta & Xu, Bing, 2017. "Commodity Price Co-movement: Heterogeneity and the Time Varying Impact of Fundamentals," MPRA Paper 80791, University Library of Munich, Germany.
    86. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    87. Wei, Jiangqiao & Ma, Zhe & Wang, Anjian & Li, Pengyuan & Sun, Xiaoyan & Yuan, Xiaojing & Hao, Hongchang & Jia, Hongxiang, 2022. "Multiscale nonlinear Granger causality and time-varying effect analysis of the relationship between iron ore futures and spot prices," Resources Policy, Elsevier, vol. 77(C).
    88. Yang, Hao & Yang, Jie & Feng, Yun, 2026. "Climate physical risks and the vulnerability of global agricultural commodities," Economics Letters, Elsevier, vol. 258(C).

  24. Jouchi Nakajima, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," IMES Discussion Paper Series 11-E-08, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    2. Wang, Kuan-Min & Lee, Yuan-Ming, 2022. "Is gold a safe haven for exchange rate risks? An empirical study of major currency countries," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    3. Davide Debortoli & Ricardo Nunes, 2014. "Monetary Regime Switches and Central Bank Preferences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(8), pages 1591-1626, December.
    4. Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
    5. Yoshino, Naoyuki Yoshino & Hesary, Farhad Taghizadeh & Miyamoto, Hiroaki Miyamoto, 2018. "The effectiveness of Japan's Negative Interest rate policy," MPRA Paper 88084, University Library of Munich, Germany, revised 03 May 2018.
    6. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
    7. Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
    8. Gong, Xu & Lin, Boqiang, 2018. "Time-varying effects of oil supply and demand shocks on China's macro-economy," Energy, Elsevier, vol. 149(C), pages 424-437.
    9. Callum Jones & Mariano Kulish & James Morley, 2024. "A Structural Measure of the Shadow Federal Funds Rate," Working Papers 2024-05, University of Sydney, School of Economics.
    10. Yoshiyuki Nakazono & Satoshi Ikeda, 2016. "Stock Market Responses Under Quantitative Easing: State Dependence and Transparency in Monetary Policy," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 560-580, December.
    11. Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
    12. IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116347, University Library of Munich, Germany.
    13. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Forecasting with Shadow-Rate VARs," Working Papers 21-09, Federal Reserve Bank of Cleveland.
    14. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
    15. Iwata, Yasuharu & Iiboshi, Hirokuni, 2020. "Fiscal Adjustments and Debt-Dependent Multipliers: Evidence from the U.S. Time Series," Discussion paper series HIAS-E-103, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    16. Francesco Zanetti & Philip Liu & Haroon Mumtaz and Konstantinos Theodoridis, 2017. "Changing Macroeconomic Dynamics at the Zero Lower Bound," Economics Series Working Papers 824, University of Oxford, Department of Economics.
    17. Jhonatan Portilla Goicochea & Gabriel Rodríguez, 2020. "Evolution of Monetary Policy in Peru: An Empirical Application using a Mixture Innovation TVP-VAR-SV Model," Documentos de Trabajo / Working Papers 2020-485, Departamento de Economía - Pontificia Universidad Católica del Perú.
    18. Benjamin K. Johannsen & Elmar Mertens, 2021. "A Time‐Series Model of Interest Rates with the Effective Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(5), pages 1005-1046, August.
    19. IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116355, University Library of Munich, Germany.
    20. Flavio Pérez Rojo & Gabriel Rodríguez, 2023. "Jane Haldimand Marcet: Impact of Monetary Policy Shocks in the Peruvian Economy Over Time," Documentos de Trabajo / Working Papers 2023-523, Departamento de Economía - Pontificia Universidad Católica del Perú.
    21. Morita, Hiroshi, 2020. "Empirical Analysis on the Effects of Japanese Fiscal Policy under the Effective Lower Bound," Discussion paper series HIAS-E-97, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    22. Pérez Rojo, Flavio & Rodríguez, Gabriel, 2024. "Impact of monetary policy shocks in the Peruvian economy over time," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 270-288.
    23. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
    24. Kuan-Min Wang & Yuan-Ming Lee, 2023. "Are life insurance futures a safe haven during COVID-19?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    25. Jun Gao & Sheng Zhu, 2019. "A New Structural Analysis of Inflation and Economic Activity," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(1), pages 35-51, June.
    26. Michal Bencik, 2017. "Do Fiscal Multipliers Vary with Different Character of Monetary-Fiscal Interactions?," Working and Discussion Papers WP 11/2017, Research Department, National Bank of Slovakia.
    27. Mr. Ugo Fasano-Filho & Mr. Qing Wang & Pelin Berkmen, 2012. "Bank of Japan's Quantitative and Credit Easing: Are they Now More Effective," IMF Working Papers 2012/002, International Monetary Fund.
    28. Kavanagh, Ella & Zhu, Sheng & O’Sullivan, Niall, 2022. "Monetary policy, trade-offs and the transmission of UK Monetary Policy," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1128-1147.
    29. Bäurle Gregor & Kaufmann Daniel & Kaufmann Sylvia & Strachan Rodney, 2020. "Constrained interest rates and changing dynamics at the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-26, April.
    30. Lin, Boqiang & Wang, Zhijun, 2025. "Economic policy uncertainty, coal price, and industrial output: Evidence from China," Energy, Elsevier, vol. 332(C).
    31. Michal Franta, 2011. "Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework," IMES Discussion Paper Series 11-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
    32. Helmi, Mohamad Husam & Çatık, Abdurrahman Nazif & Akdeniz, Coşkun, 2023. "The impact of central bank digital currency news on the stock and cryptocurrency markets: Evidence from the TVP-VAR model," Research in International Business and Finance, Elsevier, vol. 65(C).
    33. Benjamin Garcia & Arsenios Skaperdas, 2017. "Inferring the Shadow Rate from Real Activity," Finance and Economics Discussion Series 2017-106, Board of Governors of the Federal Reserve System (U.S.).
    34. Gregor Bäurle & Daniel Kaufmann, 2018. "Measuring Exchange Rate, Price, and Output Dynamics at the Effective Lower Bound," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1243-1266, December.

  25. Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models," CIRJE F-Series CIRJE-F-738, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

  26. Jouchi Nakajima & Shigenori Shiratsuka & Yuki Teranishi, 2010. "The Effects of Monetary Policy Commitment: Evidence from Time- varying Parameter VAR Analysis," IMES Discussion Paper Series 10-E-06, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Kagraoka, Yusho & Moussa, Zakaria, 2013. "Quantitative easing, credibility and the time-varying dynamics of the term structure of interest rate in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 181-201.
    2. Pami Dua & Deepika Goel, 2021. "Inflation Persistence in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 525-553, September.
    3. Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
    4. Wang, Kuan-Min & Lee, Yuan-Ming, 2022. "Is gold a safe haven for exchange rate risks? An empirical study of major currency countries," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    5. Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
    6. Joice John, 2015. "Has Inflation Persistence In India Changed Over Time?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(04), pages 1-16.
    7. Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
    8. Hibiki Ichiue & Yoichi Ueno, 2018. "A Survey-based Shadow Rate and Unconventional Monetary Policy Effects," IMES Discussion Paper Series 18-E-05, Institute for Monetary and Economic Studies, Bank of Japan.
    9. Fumio Hayashi & Junko Koeda, 2014. "Exiting from QE," NBER Working Papers 19938, National Bureau of Economic Research, Inc.
    10. Yoshiyuki Nakazono & Kozo Ueda, 2011. "Policy Commitment and Market Expectations: Lessons Learned from Survey Based Evidence under Japan's Quantitative Easing Policy," IMES Discussion Paper Series 11-E-12, Institute for Monetary and Economic Studies, Bank of Japan.
    11. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
    12. Junko Koeda, 2018. "Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures," IMES Discussion Paper Series 18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
    13. Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
    14. Fumio Hayashi & Junko Koeda, 2013. "A Regime-Switching SVAR Analysis of Quantitative Easing," CARF F-Series CARF-F-322, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    15. Moussa, Zakaria, 2010. "The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model," MPRA Paper 29429, University Library of Munich, Germany.

  27. Jouchi Nakajima & Nao Sudo & Takayuki Tsuruga, 2010. "How well do the sticky price models explain the disaggregated price responses to aggregate technology and monetary policy shocks?," IMES Discussion Paper Series 10-E-22, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Carlos Viana de Carvalho & Niels Arne Dam & Jae Won Lee, 2014. "Real Rigidities and the Cross-Sectional Distribution of Price Stickiness: Evidence from Micro and Macro Data Combined," Textos para discussão 634, Department of Economics PUC-Rio (Brazil).
    2. Christiane Baumeister & Philip Liu & Haroon Mumtaz, 2012. "Changes in the Effects of Monetary Policy on Disaggregate Price Dynamics," Staff Working Papers 12-13, Bank of Canada.
    3. Nuwat Nookhwun & Pym Manopimoke, 2023. "Disaggregated Inflation Dynamics in Thailand: Which Shocks Matter?," PIER Discussion Papers 211, Puey Ungphakorn Institute for Economic Research.
    4. Carlos Carvalho & Niels Arne Dam & Jae Won Lee, 2020. "The Cross-Sectional Distribution of Price Stickiness Implied by Aggregate Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 162-179, March.

  28. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruwirth-Scnatter, 2009. "Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form," IMES Discussion Paper Series 09-E-32, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Auray, Stéphane & Eyquem, Aurélien & Jouneau-Sion, Frédéric, 2014. "Modeling tails of aggregate economic processes in a stochastic growth model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 76-94.
    2. Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2010. "Bayesian Estimation and Particle Filter for Max-Stable Processes," CIRJE F-Series CIRJE-F-757, CIRJE, Faculty of Economics, University of Tokyo.
    3. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
    4. Chen, Lei & Kou, Yingxin & Li, Zhanwu & Xu, An & Wu, Cheng, 2018. "Empirical research on complex networks modeling of combat SoS based on data from real war-game, Part I: Statistical characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 754-773.
    5. Chao Huang & Jin-Guan Lin, 2014. "Modified maximum spacings method for generalized extreme value distribution and applications in real data analysis," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(7), pages 867-894, October.
    6. Wang, Yixin & So, Mike K.P., 2016. "A Bayesian hierarchical model for spatial extremes with multiple durations," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 39-56.
    7. Douissi, Soukaina & Es-Sebaiy, Khalifa & Alshahrani, Fatimah & Viens, Frederi G., 2022. "AR(1) processes driven by second-chaos white noise: Berry–Esséen bounds for quadratic variation and parameter estimation," Stochastic Processes and their Applications, Elsevier, vol. 150(C), pages 886-918.
    8. Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2011. "Efficient estimation and particle filter for max-stable processes," CIRJE F-Series CIRJE-F-791, CIRJE, Faculty of Economics, University of Tokyo.
    9. Daichi Hiraki & Yasuhiro Omori, 2026. "Unified Mixture Sampler for State-Space Models: Application to Stochastic Conditional Duration Models," Papers 2604.04517, arXiv.org.

  29. Jouchi Nakajima & Yuki Teranishi, 2009. "The Evolution of Loan Rate Stickiness Across the Euro Area," IMES Discussion Paper Series 09-E-10, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Marc Hinterschweiger & Kunal Khairnar & Tolga Ozden & Tom Stratton, 2021. "Macroprudential policy interactions in a sectoral DSGE model with staggered interest rates," Bank of England working papers 904, Bank of England.
    2. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
    3. Mr. Sohrab Rafiq, 2015. "How Important are Debt and Growth Expectations for Interest Rates?," IMF Working Papers 2015/094, International Monetary Fund.
    4. Crespi, Fabrizio & Mandas, Marco & Migliavacca, Milena, 2025. "European banks’ interest margins and monetary policy: Evidence of a stickiness phenomenon," Research in International Business and Finance, Elsevier, vol. 79(C).

  30. Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd09-072, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Pan, Zhaoshuai & Guo, Jiaxing, 2025. "External uncertainty and raw material price in energy transition: Implications for green development," Renewable Energy, Elsevier, vol. 241(C).
    2. Rufei Zhang & Haizhen Zhang & Wang Gao & Ting Li & Shixiong Yang, 2022. "The Dynamic Effects of Oil Price Shocks on Exchange Rates—From a Time-Varying Perspective," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    3. Jin‐Yu Chen & Xue‐Hong Zhu & Mei‐Rui Zhong, 2021. "Time‐varying effects and structural change of oil price shocks on industrial output: Evidence from China's oil industrial chain," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3460-3472, July.
    4. Steffen Henzel & Wolfgang Nierhaus & Tim Oliver Berg & Christian Breuer & Kai Carstensen & Christian Grimme & Oliver Hülsewig & Atanas Hristov & Nikolay Hristov & Michael Kleemann & Wolfgang Meister &, 2013. "ifo Konjunkturprognose 2013/2014: Deutsche Konjunkturlokomotive kommt unter Dampf," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(24), pages 20-67, December.
    5. Olawale Awe O. & Adedayo Adepoju A., 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Statistics Poland, vol. 19(2), pages 258-293, June.
    6. Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
    7. Kim, Soohyeon & Kim, Jihyo & Heo, Eunnyeong, 2021. "Speculative incentives to hoard aluminum: Relationship between capital gains and inventories," Resources Policy, Elsevier, vol. 70(C).
    8. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
    9. Sun, Chuanwang & Peng, Yiqi & Zhan, Yanhong, 2023. "How does China's crude oil futures affect the crude oil prices at home and abroad? Evidence from the cross-market exchange rate spillovers," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 204-222.
    10. Cai, Yifei, 2016. "短期资本流动、经济政策不确定性与恐慌指数—基于时变分析框架下的研究 [Short-term Capital Flow, Economic Policy Uncertainty and VIX—Evidence from a Time-varying Analysis Framework]," MPRA Paper 73213, University Library of Munich, Germany.
    11. Kagraoka, Yusho & Moussa, Zakaria, 2013. "Quantitative easing, credibility and the time-varying dynamics of the term structure of interest rate in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 181-201.
    12. Pami Dua & Deepika Goel, 2021. "Inflation Persistence in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 525-553, September.
    13. Michaelis, Henrike, 2024. "Changes in the euro area interest rate pass-through," Discussion Papers 21/2024, Deutsche Bundesbank.
    14. Martin Feldkircher & Kazuhiko Kakamu, 2018. "How does monetary policy affect income inequality in Japan? Evidence from grouped data," Papers 1803.08868, arXiv.org, revised Jul 2021.
    15. Su, Chi-Wei & Yang, Shengjie & Qin, Meng & Lobonţ, Oana-Ramona, 2023. "Gold vs bitcoin: Who can resist panic in the U.S.?," Resources Policy, Elsevier, vol. 85(PA).
    16. Jamshaid ur Rehman & Khalil Ahmad & Jawaria Arif, 2022. "Transmission Mechanism of Monetary Policy in BRICS Countries: A Comparative Response with the USA," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 23-34, December.
    17. Zhong, Yufei & Chen, Xuesheng & Wang, Zhixian & Lin, Regina Fang-Ying, 2024. "The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis," Energy Economics, Elsevier, vol. 132(C).
    18. Chance Ngamanya Mwabutwa & Nicola Viegi & Manoel Bittencourt, 2016. "Evolution Of Monetary Policy Transmission Mechanism In Malawi: A Tvp-Var Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 41(1), pages 33-55, March.
    19. Sui, Yuelei & Holan, Scott H. & Yang, Wen-Hsi, 2023. "Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
    20. Dahem, Ahlem & Skander, Slim & Fatma, Siala Guermazi, 2017. "Time Varying VAR Analysis for Disaggregated Exchange Rate Pass-through in Tunisia," MPRA Paper 79759, University Library of Munich, Germany, revised 2017.
    21. Nikita Moiseev & Alexey Mikhaylov & Hasan Dinçer & Serhat Yüksel, 2023. "Market capitalization shock effects on open innovation models in e-commerce: golden cut q-rung orthopair fuzzy multicriteria decision-making analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    22. Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
    23. Wang, Kuan-Min & Lee, Yuan-Ming, 2022. "Is gold a safe haven for exchange rate risks? An empirical study of major currency countries," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    24. Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil price shocks and uncertainty: How stable is their relationship over time?," Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
    25. Yang, Tianle & Zhou, Fangxing & Du, Min & Du, Qunyang & Zhou, Shirong, 2023. "Fluctuation in the global oil market, stock market volatility, and economic policy uncertainty: A study of the US and China," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 377-387.
    26. Wang, Yonglian & Wang, Lijun & Pan, Changchun & Hong, Songzhi, 2022. "Economic policy uncertainty and price pass-through effect of exchange rate in China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    27. Guglielmo Maria Caporale & Abdurrahman Nazif Catik & Mohamad Husam Helmi & Coskun Akdeniz & Ali Ilhan, 2021. "The Effects of the Covid-19 Pandemic on Stock Markets, CDS and Economic Activity: Time-Varying Evidence from the US and Europe," CESifo Working Paper Series 9316, CESifo.
    28. Masahiko Shibamoto, 2016. "Source of Underestimation of the Monetary Policy Effect: Re-Examination of the Policy Effectiveness in Japan's 1990s," Manchester School, University of Manchester, vol. 84(6), pages 795-810, December.
    29. Michaelis, Henrike & Watzka, Sebastian, 2017. "Are there differences in the effectiveness of quantitative easing at the zero-lower-bound in Japan over time?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 204-233.
    30. Yufeng CHEN & Shuo YANG, 2022. "How Does the Reform in Pricing Mechanism Affect the World’s Iron Ore Price: A Time-Varying Parameter SVAR Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 83-103, April.
    31. Hartwig, Benny, 2020. "Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model," Discussion Papers 34/2020, Deutsche Bundesbank.
    32. Lin, Boqiang & Zhang, Zongyou, 2025. "Geopolitics of renewable energy development: The role of energy metals," Energy Policy, Elsevier, vol. 198(C).
    33. Masahiko Shibamoto & Wataru Takahashi & Takashi Kamihigashi, 2023. "Japan’s monetary policy: a literature review and empirical assessment," Journal of Computational Social Science, Springer, vol. 6(2), pages 1215-1254, October.
    34. Seojin Lee & Young Min Kim, 2020. "Effect of foreign exchange intervention: The case of Korea," Pacific Economic Review, Wiley Blackwell, vol. 25(5), pages 641-659, December.
    35. Eissa, Mohamed Abdelaziz & Al Refai, Hisham & Chortareas, Georgios, 2025. "Climate policy uncertainty, geopolitical risk, oil volatility, and global food price volatility: A time-varying analysis," Economic Modelling, Elsevier, vol. 152(C).
    36. Tian, Meiyu & Li, Wanyang & Wen, Fenghua, 2021. "The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    37. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
    38. Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
    39. Yang, Tianle & Dong, Qingyuan & Du, Min & Du, Qunyang, 2023. "Geopolitical risks, oil price shocks and inflation: Evidence from a TVP–SV–VAR approach," Energy Economics, Elsevier, vol. 127(PB).
    40. Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2017. "Bayesian semiparametric multivariate stochastic volatility with an application to international stock-market co-movements," CQE Working Papers 6217, Center for Quantitative Economics (CQE), University of Muenster.
    41. Toparlı, Elif Akay & Çatık, Abdurrahman Nazif & Balcılar, Mehmet, 2019. "The impact of oil prices on the stock returns in Turkey: A TVP-VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    42. Chen, Jinyu & Zhu, Xuehong & Li, Hailing, 2020. "The pass-through effects of oil price shocks on China's inflation: A time-varying analysis," Energy Economics, Elsevier, vol. 86(C).
    43. Joice John, 2015. "Has Inflation Persistence In India Changed Over Time?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(04), pages 1-16.
    44. Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
    45. Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility," Energy Economics, Elsevier, vol. 45(C), pages 66-98.
    46. Wang, Cong & Chen, Bo & Song, Yu & Wang, Xinyi, 2025. "Sino–US relations, climate policy uncertainty and rare earth prices," Energy, Elsevier, vol. 327(C).
    47. Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
    48. Liao, Xin & Li, Qin & Chan, Stephen & Chu, Jeffrey & Zhang, Yuanyuan, 2024. "Interconnections and contagion among cryptocurrencies, DeFi, NFT and traditional financial assets: Some new evidence from tail risk driven network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 647(C).
    49. Ni, Jianhui & Ruan, Jia, 2024. "Contagion effects of external monetary shocks on systemic financial risk in China: Evidence from the Euro area and Japan," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    50. Yao, Wei, 2025. "The US Quantitative Easing Monetary Policy and Commodities’ Prices," Other publications TiSEM 185d14d3-9dc2-4276-82ec-e, Tilburg University, School of Economics and Management.
    51. Jia, Yiqing & Liu, Yang & Taghizadeh-Hesary, Farhad, 2025. "The nexus among geopolitical risk, metal prices, and global supply chain pressure: Evidence from the TVP-SV-VAR approach," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1776-1789.
    52. Chen, Yufeng & Yang, Shuo, 2021. "Time-varying effect of international iron ore price on China’s inflation: A complete price chain with TVP-SVAR-SV model," Resources Policy, Elsevier, vol. 73(C).
    53. Boufateh, Talel & Saadaoui, Zied & Jiao, Zhilun, 2025. "On the time-varying responses of Fintech stock returns to geopolitical, financial and market sentiment shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 101(C).
    54. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2014. "Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB's OMT Program," CESifo Working Paper Series 4628, CESifo.
    55. Shifen Zhou & Xiaojun Liu, 2022. "Internet postings and investor herd behavior: evidence from China’s open-end fund market," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    56. Mohsen Khezri & Seyed Ehsan Hosseinidoust & Mohammad Kazem Naziri, 2019. "Investigating the Temporary and Permanent Influential Variables on Iran Inflation Using TVP-DMA Models," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 23(1), pages 209-234, Winter.
    57. Nezir Köse & Emre Ünal & Savas Gayaker, 2026. "The role of global factors in Bitcoin dynamics: Evidence from the TVP-VAR-SV model," Empirical Economics, Springer, vol. 70(3), pages 1-28, March.
    58. Yoshiyuki Nakazono & Satoshi Ikeda, 2016. "Stock Market Responses Under Quantitative Easing: State Dependence and Transparency in Monetary Policy," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 560-580, December.
    59. Iiboshi, Hirokuni & Iwata, Yasuharu & Kajita, Yuto & Soma, Naoto, 2019. "Time-varying Fiscal Multipliers Identified by Systematic Component: A Bayesian Approach to TVP-SVAR model," MPRA Paper 92631, University Library of Munich, Germany.
    60. Aubrey Poon, 2018. "The transmission mechanism of Malaysian monetary policy: a time-varying vector autoregression approach," Empirical Economics, Springer, vol. 55(2), pages 417-444, September.
    61. Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).
    62. Muhammet Daştan & Kerem Karabulut & Ömer Yalçınkaya, 2024. "The time-varying impacts of global economic policy uncertainty on macroeconomic activity in a small open economy: the case of Turkey," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(2), pages 275-311, May.
    63. Choi, Sangyup, 2017. "Variability in the effects of uncertainty shocks: New stylized facts from OECD countries," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 127-144.
    64. Lin, Jie & Xiao, Hao & Chai, Jian, 2023. "Dynamic effects and driving intermediations of oil price shocks on major economies," Energy Economics, Elsevier, vol. 124(C).
    65. Jouchi Nakajima, 2017. "Bayesian analysis of multivariate stochastic volatility with skew return distribution," Econometric Reviews, Taylor & Francis Journals, vol. 36(5), pages 546-562, May.
    66. Chai, Jian & Guo, Ju-E. & Meng, Lei & Wang, Shou-Yang, 2011. "Exploring the core factors and its dynamic effects on oil price: An application on path analysis and BVAR-TVP model," Energy Policy, Elsevier, vol. 39(12), pages 8022-8036.
    67. Fumio Hayashi & Junko Koeda, 2014. "Exiting from QE," NBER Working Papers 19938, National Bureau of Economic Research, Inc.
    68. Xiuying Ma & Yongjing Wang & Haiyan Song & Han Liu, 2020. "Time-varying mechanisms between foreign direct investment and tourism development under the new normal in China," Tourism Economics, , vol. 26(2), pages 324-343, March.
    69. Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
    70. Masazumi Hattori & Andreas Schrimpf & Vladyslav Sushko, 2013. "The response of tail risk perceptions to unconventional monetary policy," BIS Working Papers 425, Bank for International Settlements.
    71. IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116347, University Library of Munich, Germany.
    72. Saadaoui, Zied & BOUFATEH, Talel & JIAO, Zhilun, 2023. "On the transmission of oil supply and demand shocks to CO2 emissions in the US by considering uncertainty: A time-varying perspective," Resources Policy, Elsevier, vol. 85(PB).
    73. Mezghani, Imed & Ben Haddad, Hedi, 2017. "Energy consumption and economic growth: An empirical study of the electricity consumption in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 145-156.
    74. Anindya Banerjee & Sheheryar Malik, 2012. "The changing role of expectations in US monetary policy: A new look using the Livingston Survey," Working papers 376, Banque de France.
    75. Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
    76. He, Yongda & Lin, Boqiang, 2018. "Time-varying effects of cyclical fluctuations in China's energy industry on the macro economy and carbon emissions," Energy, Elsevier, vol. 155(C), pages 1102-1112.
    77. Yanhong Feng & Xiaolei Wang & Shuanglian Chen & Yanqiong Liu, 2022. "Impact of Oil Financialization on Oil Price Fluctuation: A Perspective of Heterogeneity," Energies, MDPI, vol. 15(12), pages 1-20, June.
    78. Qin, Meng & Wu, Tong & Ma, Xuecheng & Albu, Lucian Liviu & Umar, Muhammad, 2023. "Are energy consumption and carbon emission caused by Bitcoin? A novel time-varying technique," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 109-120.
    79. Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
    80. Morita, Hiroshi, 2015. "State-dependent effects of fiscal policy in Japan: Do rule-of-thumb households increase the effects of fiscal policy?," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 49-61.
    81. Boufateh, Talel & Saadaoui, Zied, 2021. "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 102(C).
    82. Chen, Yunping & Chen, Huanhuan & Li, Guorong & Jiao, Dongdan & Xu, Xiangyun, 2021. "Time-varying effect of macro-prudential policies on household credit growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 241-254.
    83. Larrahondo, Cristhian & Chávez, Augusto & Giles Álvarez, Laura & Andrian, Leandro Gaston, 2025. "The exchange rate passthrough to domestic prices, new evidence from Colombia," IDB Publications (Working Papers) 13959, Inter-American Development Bank.
    84. Guglielmo Maria Caporale & Abdurrahman Nazif Çatık & Mohamad Husam Helmi & Coşkun Akdeniz & Ali İlhan, 2024. "Time-varying effects of the COVID-19 pandemic on stock markets and economic activity: evidence from the US and Europe," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(2), pages 529-558, May.
    85. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
    86. Yang, Cai & Zhang, Hongwei & Qin, Yun & Niu, Zibo, 2024. "Partisan conflict, trade policy uncertainty, and the energy market," Research in International Business and Finance, Elsevier, vol. 71(C).
    87. Huang, Jianbai & Dong, Xuesong & Chen, Jinyu & Zhong, Meirui, 2022. "Do oil prices and economic policy uncertainty matter for precious metal returns? New insights from a TVP-VAR framework," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 433-445.
    88. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
    89. Qiang Liu & Chen Xu & Zhenwei Xu, 2025. "The impact of geopolitical risk on food prices: evidence from the TVP-SV-VAR model," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 49(2), pages 450-473, June.
    90. Xiaoye Liu & Kedong Yin & Yun Cao, 2021. "Contribution of the Optimization of Financial Structure to the Real Economy: Evidence from China’s Financial System Using TVP-VAR Model," Mathematics, MDPI, vol. 9(18), pages 1-21, September.
    91. Iwata, Yasuharu & Iiboshi, Hirokuni, 2020. "Fiscal Adjustments and Debt-Dependent Multipliers: Evidence from the U.S. Time Series," Discussion paper series HIAS-E-103, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    92. Anna Gainetdinova & Kazi Sohag, 2025. "The dynamic response of Russian exchange rate to precious metals and minerals prices," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(1), pages 59-75, March.
    93. Junko Koeda, 2018. "Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures," IMES Discussion Paper Series 18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
    94. Huang, Yunying & Zhou, Qi & Yang, Cunyi & Albitar, Khaldoon, 2025. "The relationship between FinTech and energy markets in China," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
    95. Wildmer Daniel Gregori & Ângelo Ramos, 2024. "Time-varying effects of monetary and macroprudential policies: does high inflation matter?," Working Papers w202401, Banco de Portugal, Economics and Research Department.
    96. Qiao, Xingzhi & Zhu, Huiming & Zhang, Zhongqingyang & Mao, Weifang, 2022. "Time-frequency transmission mechanism of EPU, investor sentiment and financial assets: A multiscale TVP-VAR connectedness analysis," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    97. Su, Chi-Wei & Qin, Meng & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Factors driving oil price —— from the perspective of United States," Energy, Elsevier, vol. 197(C).
    98. Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
    99. Liu, Dayu & Xu, Ning & Zhao, Tingting & Song, Yang, 2018. "Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 73(C), pages 45-54.
    100. Ligia Alba Melo-Becerra & Jorge Enrique Ramos-Forero & Ligia Marcela Parrado-Galvis & Hector Manuel Zarate-Solano, 2016. "Bonanzas y crisis de la actividad petrolera y su efecto sobre la economía colombiana," Borradores de Economia 961, Banco de la Republica de Colombia.
    101. Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019. "Empirical evidence on the dynamics of investment under uncertainty in the U.S," Economics Discussion / Working Papers 19-18, The University of Western Australia, Department of Economics.
    102. Arratibel, Olga & Michaelis, Henrike, 2013. "The Impact of Monetary Policy and Exchange Rate Shocks in Poland: Evidence from a Time-Varying VAR," Discussion Papers in Economics 21088, University of Munich, Department of Economics.
    103. Zhang, Xiuqi & Meng, Xiangyu & Su, Chi Wei, 2024. "The security of energy import: Do economic policy uncertainty and geopolitical risk really matter?," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 377-388.
    104. IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116355, University Library of Munich, Germany.
    105. Ganwen Zheng & Songping Zhu, 2021. "Research on the Effectiveness of China’s Macro Control Policy on Output and Technological Progress under Economic Policy Uncertainty," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    106. Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the U.S," Economics Discussion / Working Papers 20-25, The University of Western Australia, Department of Economics.
    107. Long, Shaobo & Guo, Jiaqi, 2022. "Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks," Research in International Business and Finance, Elsevier, vol. 62(C).
    108. Mustafa Kocoglu & Ferit Kula, 2025. "Testing the equilibrium path of exchange rates, monetary policy, and trade balance in the Türkiye," Economic Change and Restructuring, Springer, vol. 58(3), pages 1-25, June.
    109. WATANABE, Toshiaki, 2025. "Bayesian Analysis of Business Cycles in Japan by Extending the Markov Switching Model," Discussion paper series HIAS-E-148, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    110. Zhao, Lili & Liu, Wenhua & Zhou, Min & Wen, Fenghua, 2022. "Extreme event shocks and dynamic volatility interactions: The stock, commodity, and carbon markets in China," Finance Research Letters, Elsevier, vol. 47(PA).
    111. Feng, Chao & Ma, Shiqun & Xiang, Lijin & Xiao, Zumian, 2025. "The dynamic impact of cryptocurrency implied exchange rates on stock market returns: An empirical study of G7 countries," Research in International Business and Finance, Elsevier, vol. 76(C).
    112. Bariş Gök & Abdurrahman Nazif Çatik, 2016. "Is There Any Time-Varying Relationship between Fiscal and Trade Deficits in Turkey?," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 607-616.
    113. Zhaosu MENG & Wei WEI & Xiaotong LIU & Kedong YIN, 2018. "The Influence of International Capital Flow on the Effectiveness of Chinese Monetary Policy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 21-40, December.
    114. Lyu, Yongjian & Yi, Heling & Cao, Jin & Yang, Mo, 2022. "Time-varying monetary policy shocks and the dynamics of Chinese commodity prices," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    115. Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
    116. Xiao, Hao & Lin, Jie & Tang, Xiaoyang, 2024. "Spillover effects of external economic shocks on African sovereign bonds," China Economic Review, Elsevier, vol. 88(C).
    117. Abdurrahman Nazif ÇATIK, 2020. "A Time-varying VAR Investigation of the Relationship among Electricity, Fossil Fuel Prices and Exchange Rate in Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 60-77, September.
    118. Morita, Hiroshi, 2020. "Empirical Analysis on the Effects of Japanese Fiscal Policy under the Effective Lower Bound," Discussion paper series HIAS-E-97, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    119. Lin, Boqiang & Lan, Tianxu, 2025. "The transmission of coal price shock to Chinese industry: Sub-sectors and regions heterogeneity," Energy, Elsevier, vol. 316(C).
    120. Fumio Hayashi & Junko Koeda, 2013. "A Regime-Switching SVAR Analysis of Quantitative Easing," CARF F-Series CARF-F-322, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    121. Zhu, Bo & Hu, Xin & Deng, Yuanyue & Zhang, Bokai & Li, Xiru, 2023. "The differential effects of climate risks on non-fossil and fossil fuel stock markets: Evidence from China," Finance Research Letters, Elsevier, vol. 55(PB).
    122. Yang, Jizhe & Jiang, Tingfeng & Wen, Xingchun & Dai, Lu, 2024. "Time-varying and spillover effects of the macroeconomy on nonfinancial corporate financialization: Evidence from China," Journal of Asian Economics, Elsevier, vol. 90(C).
    123. Qin, Yun & Chen, Jinyu & Dong, Xuesong, 2021. "Oil prices, policy uncertainty and travel and leisure stocks in China," Energy Economics, Elsevier, vol. 96(C).
    124. Amine Ben Amar, 2022. "On the role of Islamic banks in the monetary policy transmission in Saudi Arabia," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 55-94, March.
    125. Esmaeili, Parisa & Rafei, Meysam, 2021. "Dynamics analysis of factors affecting electricity consumption fluctuations based on economic conditions: Application of SVAR and TVP-VAR models," Energy, Elsevier, vol. 226(C).
    126. Girardin, Eric & Moussa, Zakaria, 2011. "Quantitative easing works: Lessons from the unique experience in Japan 2001â2006," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 461-495, October.
    127. Boubekeur Baba & Güven Sevil, 2021. "Bayesian analysis of time-varying interactions between stock returns and foreign equity flows," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
    128. Chen, Yilin & Sun, Chentong, 2024. "A new method for measuring financial resilience," Economics Letters, Elsevier, vol. 242(C).
    129. Moussa, Zakaria, 2010. "The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model," MPRA Paper 29429, University Library of Munich, Germany.
    130. Zhu, Xuehong & Liao, Jianhui & Chen, Ying, 2021. "Time-varying effects of oil price shocks and economic policy uncertainty on the nonferrous metals industry: From the perspective of industrial security," Energy Economics, Elsevier, vol. 97(C).
    131. Sohag, Kazi & Kalina, Irina & Elsayed, Ahmed H., 2023. "Financial stress in Russia: Exploring the impact of oil market shocks," Resources Policy, Elsevier, vol. 86(PB).
    132. Yoshihiro Ohtsuka, 2018. "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 143-178, April.
    133. Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
    134. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2019. "Restoring euro area monetary transmission: Which role for government bond rates?," Empirical Economics, Springer, vol. 57(3), pages 991-1021, September.
    135. Kassouri, Yacouba & Kacou, Kacou Yves Thierry & Alola, Andrew Adewale, 2021. "Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives," Energy, Elsevier, vol. 232(C).
    136. Lokendra Kumawat, 2024. "Time-variation in response of inflation to monetary policy shocks in India: evidence from TVP-VAR models," Indian Economic Review, Springer, vol. 59(1), pages 233-248, June.
    137. Tavakolian, Hossein & Babaee, Majid & Shakeri, Abbas, 2018. "How Fluctuations in Macroeconomic Indicators Affect Inflation in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(3), pages 267-289, July.
    138. Hiroyuki Ijiri & Yoichi Matsubayashi, 2016. "Quantitative Easing Policy, Exchange Rates and Business Activity by Industry in Japan from 2001-2006," Discussion Papers 1611, Graduate School of Economics, Kobe University.
    139. Coşkun Akdeniz & Abdurrahman Nazif Çatık & Esra Ballı, 2022. "Inflationary effects of oil price and exchange rate shocks in South Africa: Evidence from time‐varying pass‐through coefficients," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 301-328, September.
    140. Huang, Qian & Wang, Xiangning & Zhang, Shuguang, 2021. "The effects of exchange rate fluctuations on the stock market and the affecting mechanisms: Evidence from BRICS countries," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    141. Hanisch, Max, 2017. "The effectiveness of conventional and unconventional monetary policy: Evidence from a structural dynamic factor model for Japan," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 110-134.
    142. Joseph P. Byrne & Marco Lorusso & Bing Xu, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," CEERP Working Paper Series 006, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    143. Siyuan Qiu, 2025. "The Measurement and Characteristic Analysis of the Chinese Financial Cycle," IJFS, MDPI, vol. 13(4), pages 1-22, October.
    144. Michal Franta & Tomas Holub & Petr Kral & Ivana Kubicova & Katerina Smidkova & Borek Vasicek, 2014. "The Exchange Rate as an Instrument at Zero Interest Rates: The Case of the Czech Republic," Research and Policy Notes 2014/03, Czech National Bank, Research and Statistics Department.
    145. Zareifard, Hamid & Rue, Håvard & Khaledi, Majid Jafari & Lindgren, Finn, 2016. "A skew Gaussian decomposable graphical model," Journal of Multivariate Analysis, Elsevier, vol. 145(C), pages 58-72.
    146. Tsai, I-Chun & Chen, Han-Bo & Lin, Che-Chun, 2024. "The ability of energy commodities to hedge the dynamic risk of epidemic black swans," Resources Policy, Elsevier, vol. 89(C).
    147. Song GAO & Yating ZHU & Adelina DUMITRESCU PECULEA, 2024. "Green finance and innovation input: the promoters of carbon neutrality in China," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(641), W), pages 31-52, Winter.
    148. Han, Jong-Suk & Hur, Joonyoung, 2020. "Macroeconomic effects of monetary policy in Korea: A time-varying coefficient VAR approach," Economic Modelling, Elsevier, vol. 89(C), pages 142-152.
    149. Li, Houjian & Li, Yanjiao & Guo, Lili, 2023. "Extreme risk spillover effect and dynamic linkages between uncertainty and commodity markets: A comparison between China and America," Resources Policy, Elsevier, vol. 85(PA).
    150. Zhong, Yufei & Chen, Xuesheng & Wang, Chengfang & Wang, Zhixian & Zhang, Yuchen, 2023. "The hedging performance of green bond markets in China and the U.S.: Novel evidence from cryptocurrency uncertainty," Energy Economics, Elsevier, vol. 128(C).
    151. Ding, Qian & Huang, Jianbai & Chen, Jinyu & Luo, Xianfeng, 2024. "Climate warming, renewable energy consumption and rare earth market: Evidence from the United States," Energy, Elsevier, vol. 290(C).
    152. Bala Dahiru Abdullahi, 2016. "Time-Varying VAR with Stochastic Volatility and Monetary Policy Dynamics in Nigeria," Economics Bulletin, AccessEcon, vol. 36(4), pages 2237-2249.
    153. Xiaotian Dong & Xiaoqing Wong & Meng Qin & Oana-Ramona Lobont & Muhammad Umar, 2025. "Forest investment in China: an efficient way to climate and economic security?," Economic Change and Restructuring, Springer, vol. 58(1), pages 1-22, February.
    154. Xiaoqing An & William A. Barnett & Xue Wang & Qingyuan Wu, 2022. "Brexit Spillovers: How Economic Policy Uncertainty Affects Foreign Direct Investment and International Trade," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202208, University of Kansas, Department of Economics.
    155. Boqiang Lin & Tianxu Lan, 2024. "The time‐varying volatility spillover effects between China's coal and metal market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 699-719, May.
    156. Chen Zhu & Jiaxin Chu, 2025. "The impact of chinese big tech on the traditional financial market: evidence from Ant Group," Electronic Commerce Research, Springer, vol. 25(2), pages 879-905, April.
    157. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
    158. Sun, Chentong & Yi, Shangkun & Wu, Fenglin & Li, Yanshuang & Dong, Zibing, 2025. "Mainshocks and aftershocks: Assessing the resilience of Asia-Pacific stock markets amid global financial cycle shocks," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    159. Ko, Jun-Hyung & Morita, Hiroshi, 2015. "Fiscal sustainability and regime shifts in Japan," Economic Modelling, Elsevier, vol. 46(C), pages 364-375.
    160. Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
    161. Sun, Weihong & Liu, Ding, 2023. "Great moderation with Chinese characteristics: Uncovering the role of monetary policy," Economic Modelling, Elsevier, vol. 121(C).
    162. Wang, Shu & Zhou, Baicheng & Gao, Tianshu, 2023. "Speculation or actual demand? The return spillover effect between stock and commodity markets," Journal of Commodity Markets, Elsevier, vol. 29(C).
    163. Hernán Rincón-Castro & Pedro Rubiano-López & Lisseth Yaya-Garzón & Héctor M. Zárate-Solano, 2021. "Traspaso de la tasa de cambio a la inflación básica en Colombia: un análisis de parámetros cambiantes en el tiempo," Borradores de Economia 1177, Banco de la Republica de Colombia.
    164. Min Hong & Xiaolei Wang & Zhenghui Li, 2022. "Will Oil Price Volatility Cause Market Panic?," Energies, MDPI, vol. 15(13), pages 1-17, June.
    165. Michal Franta, 2011. "Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework," IMES Discussion Paper Series 11-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
    166. Wenqiang Zhu & Shouwei Li, 2024. "Nonlinear effects of climate risks on climate-sensitive sectors," Economic Change and Restructuring, Springer, vol. 57(5), pages 1-31, October.
    167. Jun-Hyung Ko & Hiroshi Morita, 2013. "Regime Switches in Japanese Fiscal Policy: Markov-Switching VAR Approach," Global COE Hi-Stat Discussion Paper Series gd12-270, Institute of Economic Research, Hitotsubashi University.
    168. Hu, Guoheng & Liu, Shan & Wu, Guo & Hu, Peng & Li, Ruiqi & Chen, Liujie, 2023. "Economic policy uncertainty, geopolitical risks, and the heterogeneity of commodity price fluctuations in China ——an empirical study based on TVP-SV-VAR model," Resources Policy, Elsevier, vol. 85(PA).
    169. Zhang, Ailian & Pan, Mengmeng & Liu, Bai & Weng, Yin-Che, 2020. "Systemic risk: The coordination of macroprudential and monetary policies in China," Economic Modelling, Elsevier, vol. 93(C), pages 415-429.
    170. Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
    171. Byrne, Joseph P & Sakemoto, Ryuta & Xu, Bing, 2017. "Commodity Price Co-movement: Heterogeneity and the Time Varying Impact of Fundamentals," MPRA Paper 80791, University Library of Munich, Germany.
    172. Chen, Yilin & Sun, Chentong & Zhang, Xu, 2025. "Analyzing and forecasting China's financial resilience: Measurement techniques and identification of key influencing factors," Journal of Financial Stability, Elsevier, vol. 76(C).
    173. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    174. Helmi, Mohamad Husam & Çatık, Abdurrahman Nazif & Akdeniz, Coşkun, 2023. "The impact of central bank digital currency news on the stock and cryptocurrency markets: Evidence from the TVP-VAR model," Research in International Business and Finance, Elsevier, vol. 65(C).
    175. Yang, Ronghai & Sun, Xiaowen & Wang, Honglei & Wang, Xiao, 2024. "A study of the time-varying impact of capital account liberalization on monetary policy rules in the open economy: Evidence from China," Finance Research Letters, Elsevier, vol. 65(C).
    176. Wei, Jiangqiao & Ma, Zhe & Wang, Anjian & Li, Pengyuan & Sun, Xiaoyan & Yuan, Xiaojing & Hao, Hongchang & Jia, Hongxiang, 2022. "Multiscale nonlinear Granger causality and time-varying effect analysis of the relationship between iron ore futures and spot prices," Resources Policy, Elsevier, vol. 77(C).
    177. Qiu, Lianhong & Wong, Xiaoqing & Zhang, Teng & Song, Yubing, 2025. "How do climate risks intersect with the rise of new energy vehicles in China?," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 675-688.
    178. Yang, Hao & Yang, Jie & Feng, Yun, 2026. "Climate physical risks and the vulnerability of global agricultural commodities," Economics Letters, Elsevier, vol. 258(C).
    179. Ko, Jun-Hyung & Murase, Koichi, 2013. "Great Moderation in the Japanese economy," Japan and the World Economy, Elsevier, vol. 27(C), pages 10-24.

  31. Jouchi Nakajima & Yasuhiro Omori, 2009. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's t-distribution," CARF F-Series CARF-F-199, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Hai-Chuan Xu & Fredj Jawadi & Jie Zhou & Wei-Xing Zhou, 2023. "Quantifying interconnectedness and centrality ranking among financial institutions with TVP-VAR framework," Empirical Economics, Springer, vol. 65(1), pages 93-110, July.
    2. Makoto Takahashi & Toshiaki Watanabe & Yasuhiro Omori, 2014. "Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution," CIRJE F-Series CIRJE-F-949, CIRJE, Faculty of Economics, University of Tokyo.
    3. Joshua C.C. Chan & Angelia L. Grant, 2014. "Issues in Comparing Stochastic Volatility Models Using the Deviance Information Criterion," CAMA Working Papers 2014-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Makoto Takahashi & Yuta Yamauchi & Toshiaki Watanabe & Yasuhiro Omori, 2024. "Realized Stochastic Volatility Model with Skew-t Distributions for Improved Volatility and Quantile Forecasting," Papers 2401.13179, arXiv.org, revised Jan 2026.
    5. Cabral, Celso Rômulo Barbosa & da-Silva, Cibele Queiroz & Migon, Helio S., 2014. "A dynamic linear model with extended skew-normal for the initial distribution of the state parameter," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 64-80.
    6. Igor Ferreira Batista Martins & Hedibert Freitas Lopes, 2023. "Stochastic volatility models with skewness selection," Papers 2312.00282, arXiv.org.
    7. Nonejad Nima, 2015. "Particle Gibbs with ancestor sampling for stochastic volatility models with: heavy tails, in mean effects, leverage, serial dependence and structural breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 561-584, December.
    8. Nakajima Jouchi, 2013. "Stochastic volatility model with regime-switching skewness in heavy-tailed errors for exchange rate returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 499-520, December.
    9. Roland Langrock & Théo Michelot & Alexander Sohn & Thomas Kneib, 2015. "Semiparametric stochastic volatility modelling using penalized splines," Computational Statistics, Springer, vol. 30(2), pages 517-537, June.
    10. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. C. A. Abanto-Valle & V. H. Lachos & Dipak K. Dey, 2015. "Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model," Methodology and Computing in Applied Probability, Springer, vol. 17(3), pages 721-738, September.
    12. Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2013. "News impact curve for stochastic volatility models," Economics Letters, Elsevier, vol. 120(1), pages 130-134.
    13. Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
    14. Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2024. "Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility," Econometrics and Statistics, Elsevier, vol. 32(C), pages 34-56.
    15. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
    16. Joshua C C Chan, 2012. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," ANU Working Papers in Economics and Econometrics 2012-591, Australian National University, College of Business and Economics, School of Economics.
    17. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2014. "Score driven asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws142618, Universidad Carlos III de Madrid. Departamento de Estadística.
    18. Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    19. Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    20. Yucheng Sun, 2024. "Testing for jumps with robust spot volatility estimators," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 78(1), pages 79-104, February.
    21. Laura Garcia-Jorcano & Alfonso Novales, 2019. "A dominance approach for comparing the performance of VaR forecasting models," Documentos de Trabajo del ICAE 2019-23, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    22. Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
    23. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
    24. Roman V. Ivanov, 2023. "On the Stochastic Volatility in the Generalized Black-Scholes-Merton Model," Risks, MDPI, vol. 11(6), pages 1-23, June.
    25. Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
    26. Saikat Saha, 2015. "Noise Robust Online Inference for Linear Dynamic Systems," Papers 1504.05723, arXiv.org.
    27. Gregor Kastner & Sylvia Fruhwirth-Schnatter, 2017. "Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models," Papers 1706.05280, arXiv.org.
    28. Cem Çakmakli & Selva Demi̇ralp & Gökhan Şahi̇n Güneş, 2024. "Do Financial Markets Respond to Populist Rhetoric?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 541-567, June.
    29. Minheng Xiao, 2022. "Data-Driven Risk Measurement by SV-GARCH-EVT Model," Papers 2201.09434, arXiv.org, revised Dec 2024.
    30. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    31. Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
    32. Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
    33. Zea Bermúdez, Patricia de & Marín Díazaraque, Juan Miguel & Veiga, Helena, 2019. "Data cloning estimation for asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 28214, Universidad Carlos III de Madrid. Departamento de Estadística.
    34. Iseringhausen, Martin, 2020. "The time-varying asymmetry of exchange rate returns: A stochastic volatility – stochastic skewness model," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 275-292.
    35. Lee, Cheol Woo & Kang, Kyu Ho, 2023. "Estimating and testing skewness in a stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 445-467.
    36. Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023. "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    37. Sakae Oya & Teruo Nakatsuma, 2021. "Identification in Bayesian Estimation of the Skewness Matrix in a Multivariate Skew-Elliptical Distribution," Papers 2108.04019, arXiv.org.
    38. Harasheh, Murad & Bouteska, Ahmed, 2025. "Volatility estimation through stochastic processes: Evidence from cryptocurrencies," The North American Journal of Economics and Finance, Elsevier, vol. 75(PB).
    39. Felicia Ramona Birău, 2012. "Stochastic Volatility Models For Financial Time Series Analysis," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 472-475, November.
    40. Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2017. "Creating Investment Scheme with State Space Modeling," CARF F-Series cf406, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    41. Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
    42. Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
    43. Xiao Jiang & Saralees Nadarajah & Thomas Hitchen, 2024. "A Review of Generalized Hyperbolic Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 595-624, July.
    44. Omar Abbara & Mauricio Zevallos, 2022. "Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models," Econometrics, MDPI, vol. 11(1), pages 1-18, December.

  32. Jouchi Nakajima & Yasuhiro Omori, 2007. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," CIRJE F-Series CIRJE-F-514, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Bauwens, Luc & Rombouts, Jeroen V.K., 2012. "On marginal likelihood computation in change-point models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3415-3429.
    2. Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
    3. Shang, Yuhuang & Liu, Lulu, 2017. "An extension of stochastic volatility model with mixed frequency information," Economics Letters, Elsevier, vol. 155(C), pages 144-148.
    4. Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
    5. Angelos Alexopoulos & Petros Dellaportas & Omiros Papaspiliopoulos, 2019. "Bayesian prediction of jumps in large panels of time series data," Papers 1904.05312, arXiv.org, revised Apr 2021.
    6. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2016. "Volatility Forecasts Using Nonlinear Leverage Effects," Papers 1605.06482, arXiv.org, revised Dec 2017.
    7. Joshua C C Chan & Cody Y L Hsiao, 2013. "Estimation of Stochastic Volatility Models with Heavy Tails and Serial Dependence," CAMA Working Papers 2013-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models," CIRJE F-Series CIRJE-F-738, CIRJE, Faculty of Economics, University of Tokyo.
    9. Audrone Virbickaite & Hedibert F. Lopes & Maria Concepción Ausín & Pedro Galeano, 2018. "Particle Learning for Bayesian Semi-Parametric Stochastic Volatility Model," DEA Working Papers 88, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    10. Maria Kalli & Jim Griffin, 2015. "Flexible Modeling of Dependence in Volatility Processes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 102-113, January.
    11. Abdelhakim Aknouche, 2017. "Periodic autoregressive stochastic volatility," Statistical Inference for Stochastic Processes, Springer, vol. 20(2), pages 139-177, July.
    12. Nakajima, Jouchi & Omori, Yasuhiro, 2012. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3690-3704.
    13. Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
    14. Nakajima Jouchi, 2013. "Stochastic volatility model with regime-switching skewness in heavy-tailed errors for exchange rate returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 499-520, December.
    15. Xiao-Bin Liu & Yong Li, 2013. "Bayesian testing volatility persistence in stochastic volatility models with jumps," Quantitative Finance, Taylor & Francis Journals, vol. 14(8), pages 1415-1426, December.
    16. Watanabe, Toshiaki & Nakajima, Jouchi, 2024. "High-frequency realized stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 79(C).
    17. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    18. Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
    19. Shirota, Shinichiro & Hizu, Takayuki & Omori, Yasuhiro, 2014. "Realized stochastic volatility with leverage and long memory," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 618-641.
    20. Zhou, Yang & Wang, Xiaoxiao & Dong, Rebecca Kechen & Pu, Ruihui & Yue, Xiao-Guang, 2022. "Natural resources commodity prices volatility: Evidence from COVID-19 for the US economy," Resources Policy, Elsevier, vol. 78(C).
    21. Gabriel Rodriguez & Willy Alanya, 2016. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers 2016-413, Departamento de Economía - Pontificia Universidad Católica del Perú.
    22. Arthur T. Rego & Thiago R. dos Santos, 2018. "Non-Gaussian Stochastic Volatility Model with Jumps via Gibbs Sampler," Papers 1809.01501, arXiv.org, revised Oct 2018.
    23. Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    24. Tak Kuen Siu, 2023. "Bayesian nonlinear expectation for time series modelling and its application to Bitcoin," Empirical Economics, Springer, vol. 64(1), pages 505-537, January.
    25. Watanabe, Toshiaki & Nakajima, Jouchi, 2023. "High-frequency realized stochastic volatility model," Discussion paper series HIAS-E-127, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    26. Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
    27. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
    28. Lux, Thomas & Morales-Arias, Leonardo, 2010. "Forecasting volatility under fractality, regime-switching, long memory and student-t innovations," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2676-2692, November.
    29. Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
    30. Minheng Xiao, 2022. "Data-Driven Risk Measurement by SV-GARCH-EVT Model," Papers 2201.09434, arXiv.org, revised Dec 2024.
    31. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    32. Audrone Virbickaite & Hedibert F. Lopes, 2018. "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers 89, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    33. Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
    34. Karamé, Frédéric, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Econometrics and Statistics, Elsevier, vol. 8(C), pages 204-230.
    35. Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
    36. Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2009. "Estimating stochastic volatility models using daily returns and realized volatility simultaneously," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2404-2426, April.
    37. Raanju R. Sundararajan & Wagner Barreto‐Souza, 2023. "Student‐t stochastic volatility model with composite likelihood EM‐algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 125-147, January.
    38. Yanhui Xi & Hui Peng & Yemei Qin, 2016. "Modeling Financial Time Series Based on a Market Microstructure Model with Leverage Effect," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, February.
    39. Harasheh, Murad & Bouteska, Ahmed, 2025. "Volatility estimation through stochastic processes: Evidence from cryptocurrencies," The North American Journal of Economics and Finance, Elsevier, vol. 75(PB).
    40. Delatola, E.-I. & Griffin, J.E., 2013. "A Bayesian semiparametric model for volatility with a leverage effect," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 97-110.
    41. Darjus Hosszejni & Gregor Kastner, 2019. "Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage," Papers 1901.11491, arXiv.org, revised Nov 2019.
    42. T. R. Santos, 2018. "A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach," Papers 1809.01489, arXiv.org.
    43. Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
    44. Pan, Qunxing & Mei, Xiaowen & Gao, Tianqing, 2022. "Modeling dynamic conditional correlations with leverage effects and volatility spillover effects: Evidence from the Chinese and US stock markets affected by the recent trade friction," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    45. Noriyuki Kunimoto & Kazuhiko Kakamu, 2021. "Is Bitcoin really a currency? A viewpoint of a stochastic volatility model," Papers 2111.15351, arXiv.org.

  33. Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005. "Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies Undergoing Financial Distress," CIRJE F-Series CIRJE-F-364, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Stephan, Andreas & Tsapin, Andriy & Talavera, Oleksandr, 2009. "Why Do Firms Switch Their Main Bank? - theory and evidence from Ukraine," Working Paper Series in Economics and Institutions of Innovation 180, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Andreas Stephan & Oleksandr Talavera & Andriy Tsapin, 2011. "Main bank power, Switching Costs, and Firm Performance. Evidence from Ukraine," University of East Anglia Applied and Financial Economics Working Paper Series 026, School of Economics, University of East Anglia, Norwich, UK..
    3. Uchida, Hirofumi & Miyakawa, Daisuke & Hosono, Kaoru & Ono, Arito & Uchino, Taisuke & Uesugi, Iichiro, 2013. "Natural Disaster and Natural Selection," Working Paper Series 25, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    4. Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2007. "The Role of Trade Credit for Small Firms : An Implication from Japan’s Banking Crisis," Finance Working Papers 22596, East Asian Bureau of Economic Research.
    5. Akiyoshi, Fumio & Kobayashi, Keiichiro, 2010. "Banking crisis and productivity of borrowing firms: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 22(3), pages 141-150, August.
    6. David Archer, 2006. "Implications of recent changes in banking for the conduct of monetary policy," BIS Papers chapters, in: Bank for International Settlements (ed.), The banking system in emerging economies: how much progress has been made?, volume 28, pages 123-51, Bank for International Settlements.

  34. Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005. "Bank Health and Investment: An Analysis of Unlisted Companies in Japan," Bank of Japan Working Paper Series 05-E-5, Bank of Japan.

    Cited by:

    1. Emmanuel De Veirman & Andrew T. Levin, 2012. "When Did Firms Become More Different? Time-Varying Firm-Specific Volatility in Japan," CAMA Working Papers 2012-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005. "Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies Undergoing Financial Distress (Subsequently published in "Journal of the Asia Pacific Economy" Vo.11, No.4, December 2006, pp.482-501. )," CARF F-Series CARF-F-042, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2008. "Impaired Bank Health and Default Risk ( Forthcoming in "Pacific-Basin Finance Journal". )," CARF F-Series CARF-F-122, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    4. Tsapin Andriy & Tsapin Oleksandr, 2014. "Corporate Investment and Financial Crisis: Can Under- and Overinvestment Be Mitigated by Banks in an Emerging Market?," EERC Working Paper Series 14/04e, EERC Research Network, Russia and CIS.
    5. Kazuo Ogawa, 2006. "Comment: What Caused Fixed Investment To Stagnate During The 1990s In Japan? Evidence From Panel Data Of Listed Companies," The Japanese Economic Review, Japanese Economic Association, vol. 57(2), pages 307-309, June.
    6. Fukuda, Shin-ichi & Kasuya, Munehisa & Akashi, Kentaro, 2009. "Impaired bank health and default risk," Pacific-Basin Finance Journal, Elsevier, vol. 17(2), pages 145-162, April.
    7. Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005. "Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies Undergoing Financial Distress," CIRJE F-Series CIRJE-F-364, CIRJE, Faculty of Economics, University of Tokyo.
    8. Shin-Ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2006. "Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies under Financial Distress," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 11(4), pages 482-501.
    9. Akiyoshi, Fumio & Kobayashi, Keiichiro, 2010. "Banking crisis and productivity of borrowing firms: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 22(3), pages 141-150, August.
    10. Imai, Kentaro, 2016. "A panel study of zombie SMEs in Japan: Identification, borrowing and investment behavior," Journal of the Japanese and International Economies, Elsevier, vol. 39(C), pages 91-107.

  35. Yasuhiro Omori & Siddhartha Chib & Neil Shephard & Jouchi Nakajima, 2004. "Stochastic volatility with leverage: fast likelihood inference," Economics Papers 2004-W19, Economics Group, Nuffield College, University of Oxford.

    Cited by:

    1. Yuriy Kitsul & Jonathan H. Wright, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," Economics Working Paper Archive 600, The Johns Hopkins University,Department of Economics.
    2. Toshitaka Sekine, 2006. "Time-varying exchange rate pass-through: experiences of some industrial countries," BIS Working Papers 202, Bank for International Settlements.
    3. Fruhwirth-Schnatter, Sylvia & Fruhwirth, Rudolf, 2007. "Auxiliary mixture sampling with applications to logistic models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3509-3528, April.
    4. Hans J. Skaug & Jun Yu, 2009. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers 15-2009, Singapore Management University, School of Economics.
    5. Fulvia Focker & Umberto Triacca, 2006. "A new proxy of the average volatility of a basket of returns: A Monte Carlo study," Economics Bulletin, AccessEcon, vol. 3(15), pages 1-14.
    6. Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.

Articles

  1. Takuji Fueki & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2021. "Identifying oil price shocks and their consequences: The role of expectations in the crude oil market," International Finance, Wiley Blackwell, vol. 24(1), pages 53-76, April.
    See citations under working paper version above.
  2. Nakajima, Jouchi, 2020. "The role of household debt heterogeneity on consumption: Evidence from Japanese household data," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 186-197.
    See citations under working paper version above.
  3. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1092-1110, July.
    See citations under working paper version above.
  4. Jouchi Nakajima, 2020. "Skew selection for factor stochastic volatility models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(4), pages 582-601, March.

    Cited by:

    1. Igor Ferreira Batista Martins & Hedibert Freitas Lopes, 2023. "Stochastic volatility models with skewness selection," Papers 2312.00282, arXiv.org.
    2. Roman V. Ivanov, 2023. "On the Stochastic Volatility in the Generalized Black-Scholes-Merton Model," Risks, MDPI, vol. 11(6), pages 1-23, June.

  5. Fukuda, Shin-ichi & Kasuya, Munehisa & Nakajima, Jouchi, 2018. "The role of corporate governance in Japanese unlisted companies," Japan and the World Economy, Elsevier, vol. 47(C), pages 27-39.
    See citations under working paper version above.
  6. Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2018. "The natural yield curve: its concept and measurement," Empirical Economics, Springer, vol. 55(2), pages 551-572, September.
    See citations under working paper version above.
  7. Kaihatsu, Sohei & Nakajima, Jouchi, 2018. "Has trend inflation shifted?: An empirical analysis with an equally-spaced regime-switching model," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 69-83.

    Cited by:

    1. Hogen, Yoshihiko & Okuma, Ryoichi, 2025. "The anchoring of inflation expectations in Japan: A learning-approach perspective," Japan and the World Economy, Elsevier, vol. 73(C).
    2. Behera, Harendra Kumar & Patra, Michael Debabrata, 2022. "Measuring trend inflation in India," Journal of Asian Economics, Elsevier, vol. 80(C).
    3. NAKAJIMA, Jouchi & SUDO, Nao & HOGEN, Yoshihiko & TAKIZUKA, Yasutaka, 2023. "On the estimation of the natural yield curve," Discussion Paper Series 753, Institute of Economic Research, Hitotsubashi University.
    4. NAKAJIMA, Jouchi, 2023. "Estimation of firms' inflation expectations using the survey DI," Discussion Paper Series 749, Institute of Economic Research, Hitotsubashi University.
    5. Takatoshi Ito, 2021. "An Assessment of Abenomics: Evolution and Achievements," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(2), pages 190-219, July.
    6. Ryuzo Miyao & Tatsuyoshi Okimoto, 2020. "Regime shifts in the effects of Japan’s unconventional monetary policies," Manchester School, University of Manchester, vol. 88(6), pages 749-772, December.
    7. Niwa, Hidekazu, 2024. "A fiscal theory of central bank’s solvency: Perils of the quantitative and qualitative monetary easing," Japan and the World Economy, Elsevier, vol. 70(C).
    8. Kosuke Aoki & Ko Munakata & Nao Sudo, 2019. "Prolonged Low Interest Rates and Banking Stability," IMES Discussion Paper Series 19-E-21, Institute for Monetary and Economic Studies, Bank of Japan.
    9. Kishaba, Yui & Okuda, Tatsushi, 2025. "The slope of the Phillips curve for service prices in Japan: Regional panel data approach," Journal of the Japanese and International Economies, Elsevier, vol. 78(C).
    10. Masahiko Shibamoto, 2023. "Inflation, Business Cycle, and Monetary Policy: The Role of Inflationary Pressure," Discussion Paper Series DP2023-04, Research Institute for Economics & Business Administration, Kobe University.
    11. Yosuke Kido & Kotaro Suita, 2025. "Labor Cost Passthrough: Evidence from Japanese Long-term Subnational Data," Bank of Japan Working Paper Series 25-E-5, Bank of Japan.

  8. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2017. "Bayesian modeling of dynamic extreme values: extension of generalized extreme value distributions with latent stochastic processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1248-1268, May.
    See citations under working paper version above.
  9. Jouchi Nakajima, 2017. "Bayesian analysis of multivariate stochastic volatility with skew return distribution," Econometric Reviews, Taylor & Francis Journals, vol. 36(5), pages 546-562, May.

    Cited by:

    1. Guanyu Hu & Ming-Hui Chen & Nalini Ravishanker, 2023. "Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models," Computational Statistics, Springer, vol. 38(2), pages 845-869, June.
    2. Watanabe, Toshiaki & Nakajima, Jouchi, 2024. "High-frequency realized stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 79(C).
    3. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
    4. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    5. Watanabe, Toshiaki & Nakajima, Jouchi, 2023. "High-frequency realized stochastic volatility model," Discussion paper series HIAS-E-127, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    6. Kurose, Yuta & Omori, Yasuhiro, 2020. "Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity," Econometrics and Statistics, Elsevier, vol. 13(C), pages 46-68.
    7. Anders Nõu & Darya Lapitskaya & Mustafa Hakan Eratalay & Rajesh Sharma, 2021. "Predicting Stock Return And Volatility With Machine Learning And Econometric Models: A Comparative Case Study Of The Baltic Stock Market," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 135, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    8. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    9. Sakae Oya & Teruo Nakatsuma, 2021. "Identification in Bayesian Estimation of the Skewness Matrix in a Multivariate Skew-Elliptical Distribution," Papers 2108.04019, arXiv.org.

  10. Nakajima, Jouchi & Watanabe, Toshiaki, 2017. "Econometric Analysis of Japanese Exports Using a Time-Varying Parameter Vector Autoregressive Model," Economic Review, Hitotsubashi University, vol. 68(3), pages 237-249, July.

    Cited by:

    1. Yosuke Okazaki & Nao Sudo, 2018. "Natural Rate of Interest in Japan -- Measuring its size and identifying drivers based on a DSGE model --," Bank of Japan Working Paper Series 18-E-6, Bank of Japan.

  11. Kimura Takeshi & Nakajima Jouchi, 2016. "Identifying conventional and unconventional monetary policy shocks: a latent threshold approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 277-300, January.
    See citations under working paper version above.
  12. Koichiro Kamada & Jouchi Nakajima, 2014. "On the reliability of Japanese inflation expectations using purchasing power parity," Economic Analysis and Policy, Elsevier, vol. 44(3), pages 259-265.
    See citations under working paper version above.
  13. Zhou, Xiaocong & Nakajima, Jouchi & West, Mike, 2014. "Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 963-980.

    Cited by:

    1. Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
    2. Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in dairy markets," Papers 2104.12707, arXiv.org.
    3. Gregor Kastner & Sylvia Frühwirth-Schnatter & Hedibert Freitas Lopes, 2016. "Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models," Business and Economics Working Papers 234, Unidade de Negocios e Economia, Insper.
    4. Gregor Kastner, 2016. "Sparse Bayesian time-varying covariance estimation in many dimensions," Papers 1608.08468, arXiv.org, revised Nov 2017.
    5. Niyati Bhanja & Samia Nasreen & Arif Billah Dar & Aviral Kumar Tiwari, 2022. "Connectedness in International Crude Oil Markets," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 227-262, January.
    6. Gunawan, David & Kohn, Robert & Nott, David, 2021. "Variational Bayes approximation of factor stochastic volatility models," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1355-1375.
    7. Tony Chernis & Niko Hauzenberger & Haroon Mumtaz & Michael Pfarrhofer, 2025. "A Bayesian Gaussian Process Dynamic Factor Model," Papers 2509.04928, arXiv.org.
    8. Ajab Khan, 2024. "Nexus Between Discount Rate and Industrial Performance," Global Business Review, International Management Institute, vol. 25(6), pages 1590-1602, December.
    9. Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2016. "A Return Prediction-based Investment with Particle Filtering and Anomaly Detection," CARF F-Series CARF-F-391, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    10. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
    11. Vegard H ghaug Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Papers No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    12. Adriano S. Koshiyama & Nikan Firoozye & Philip Treleaven, 2019. "A derivatives trading recommendation system: The mid‐curve calendar spread case," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(2), pages 83-103, April.
    13. Leung, Dennis & Drton, Mathias, 2016. "Order-invariant prior specification in Bayesian factor analysis," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 60-66.
    14. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    15. Leif Anders Thorsrud, 2016. "Words are the new numbers: A newsy coincident index of business cycles," Working Papers No 4/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    16. Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019. "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
    17. Zhenlong Jiang & Ran Ji & Kuo-Chu Chang, 2020. "A Machine Learning Integrated Portfolio Rebalance Framework with Risk-Aversion Adjustment," JRFM, MDPI, vol. 13(7), pages 1-20, July.
    18. Gunawan, David & Kohn, Robert & Tran, Minh Ngoc, 2025. "Flexible and Robust Particle Tempering for State Space Models," Econometrics and Statistics, Elsevier, vol. 33(C), pages 35-55.
    19. Gillen, Benjamin J., 2014. "An empirical Bayesian approach to stein-optimal covariance matrix estimation," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 402-420.
    20. Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Paper Series 235, WU Vienna University of Economics and Business.
    21. Adriano Soares Koshiyama & Nick Firoozye & Philip Treleaven, 2018. "A Machine Learning-based Recommendation System for Swaptions Strategies," Papers 1810.02125, arXiv.org.
    22. Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Papers 1607.04532, arXiv.org, revised Jul 2018.
    23. Hui ‘Fox’ Ling & Christian Franzen, 2017. "Online learning of time-varying stochastic factor structure by variational sequential Bayesian factor analysis," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1277-1304, August.
    24. Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in international dairy commodity markets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(3), pages 704-728, July.
    25. Chaim, Pedro & Laurini, Márcio P., 2019. "Nonlinear dependence in cryptocurrency markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 32-47.
    26. Mike West, 2020. "Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 1-31, February.
    27. Wilms, Ines & Croux, Christophe, 2016. "Forecasting using sparse cointegration," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1256-1267.
    28. McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
    29. Leif Anders Thorsrud, 2016. "Nowcasting using news topics Big Data versus big bank," Working Papers No 6/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    30. Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
    31. Yuta Kurose & Yasuhiro Omori, 2016. "Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1022, CIRJE, Faculty of Economics, University of Tokyo.

  14. Nakajima Jouchi, 2013. "Stochastic volatility model with regime-switching skewness in heavy-tailed errors for exchange rate returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 499-520, December.

    Cited by:

    1. Stéphane Lhuissier, 2022. "Financial Conditions and Macroeconomic Downside Risks in the Euro Area," Working papers 863, Banque de France.
    2. Jeffrey Chu & Saralees Nadarajah & Stephen Chan, 2015. "Statistical Analysis of the Exchange Rate of Bitcoin," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-27, July.
    3. Zhen Fang & Zhang Jin E., 2020. "Dissecting skewness under affine jump-diffusions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-19, September.
    4. Donatien Hainaut & Franck Moraux, 2019. "A switching self-exciting jump diffusion process for stock prices," Post-Print halshs-01909772, HAL.
    5. Martin Iseringhausen, 2018. "The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility Stochastic Skewness Model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 18/944, Ghent University, Faculty of Economics and Business Administration.
    6. Carlos A. Abanto-Valle & Hernán B. Garrafa-Aragón, 2019. "Threshold Stochastic Volatility Models with Heavy Tails:A Bayesian Approach," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 32-53.
    7. Chen, Rongda & Zhou, Hanxian & Yu, Lean & Jin, Chenglu & Zhang, Shuonan, 2021. "An efficient method for pricing foreign currency options," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    8. Stéphane Lhuissier, 2019. "Bayesian Inference for Markov-switching Skewed Autoregressive Models," Working papers 726, Banque de France.
    9. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    10. Saldaña-Zepeda, Dayna P. & Velasco-Cruz, Ciro & Torres-Preciado, Víctor H., 2020. "Mexican peso-USD exchange rate: A switching linear dynamical model application," International Economics, Elsevier, vol. 162(C), pages 80-91.
    11. Xiao Jiang & Saralees Nadarajah & Thomas Hitchen, 2024. "A Review of Generalized Hyperbolic Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 595-624, July.

  15. Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.

    Cited by:

    1. Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
    2. Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2020. "Deep Dynamic Factor Models," Papers 2007.11887, arXiv.org, revised May 2023.
    3. Koop, Gary & Korobilis, Dimitris, 2018. "Variational Bayes inference in high-dimensional time-varying parameter models," MPRA Paper 87972, University Library of Munich, Germany.
    4. Niko Hauzenberger, 2020. "Flexible Mixture Priors for Large Time-varying Parameter Models," Papers 2006.10088, arXiv.org, revised Nov 2020.
    5. Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
    6. Sui, Yuelei & Holan, Scott H. & Yang, Wen-Hsi, 2023. "Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
    7. Gary Koop & Dimitris Korobilis, 2023. "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1047-1074, August.
    8. Daniele Bianchi & Kenichiro McAlinn, 2018. "Large-Scale Dynamic Predictive Regressions," Papers 1803.06738, arXiv.org.
    9. Takahiro Yabe & Yunchang Zhang & Satish Ukkusuri, 2020. "Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach," Papers 2004.11121, arXiv.org.
    10. Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
    11. Joshua C.C. Chan, 2015. "Specification tests for time-varying parameter models with stochastic volatility," CAMA Working Papers 2015-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    12. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
    13. Zijian Zeng & Meng Li, 2020. "Bayesian Median Autoregression for Robust Time Series Forecasting," Papers 2001.01116, arXiv.org, revised Dec 2020.
    14. Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
    15. Vegard H ghaug Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Papers No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    16. Kenichiro McAlinn, 2021. "Mixed‐frequency Bayesian predictive synthesis for economic nowcasting," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1143-1163, November.
    17. Leung, Dennis & Drton, Mathias, 2016. "Order-invariant prior specification in Bayesian factor analysis," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 60-66.
    18. Leif Anders Thorsrud, 2016. "Words are the new numbers: A newsy coincident index of business cycles," Working Papers No 4/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    19. Chuanglian Chen & Xiaobin Liu & Jun Yu & Tao Zeng, 2024. "The Time-varying Zone-like and Asymmetric Preference of Central Banks: Evidence from China," Working Papers 202421, University of Macau, Faculty of Business Administration.
    20. Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Papers No 03/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    21. Tatsuki Okamoto & Yoichi Matsubayashi, 2017. "Empirical Evidence from a Japanese Lending Survey within the TVP-VAR Framework: Does the Credit Channel Matter for Monetary Policy?," Discussion Papers 1709, Graduate School of Economics, Kobe University.
    22. James Sampi, 2016. "High Dimensional Factor Models: An Empirical Bayes Approach," Working Papers 75, Peruvian Economic Association.
    23. Schepp, Zoltán & Abaligeti, Gallusz & Németh, Kristóf, 2018. "Időben változó Taylor-szabály a hazai monetáris politika jellemzésére [A time-varying parameter Taylor rule for Hungarian monetary policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 24-43.
    24. Hauber, Philipp, 2022. "Real-time nowcasting with sparse factor models," EconStor Preprints 251551, ZBW - Leibniz Information Centre for Economics.
    25. Bruno P. C. Levy & Hedibert F. Lopes, 2021. "Dynamic Ordering Learning in Multivariate Forecasting," Papers 2101.04164, arXiv.org, revised Nov 2021.
    26. Eraslan, Sercan & Schröder, Maximilian, 2019. "Nowcasting GDP with a large factor model space," Discussion Papers 41/2019, Deutsche Bundesbank.
    27. Bakerman, Jordan & Pazdernik, Karl & Korkmaz, Gizem & Wilson, Alyson G., 2022. "Dynamic logistic regression and variable selection: Forecasting and contextualizing civil unrest," International Journal of Forecasting, Elsevier, vol. 38(2), pages 648-661.
    28. Eraslan, Sercan & Schröder, Maximilian, 2023. "Nowcasting GDP with a pool of factor models and a fast estimation algorithm," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1460-1476.
    29. Felix Abramovich & Vadim Grinshtein, 2013. "Estimation of a sparse group of sparse vectors," Biometrika, Biometrika Trust, vol. 100(2), pages 355-370.
    30. Gabriel Rodríguez & Renato Vassallo, 2022. "Time Evolution of External Shocks on Macroeconomic Fluctuations in Pacific Alliance Countries: Empirical Application using TVP-VAR-SV Models," Documentos de Trabajo / Working Papers 2022-508, Departamento de Economía - Pontificia Universidad Católica del Perú.
    31. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    32. Eric Eisenstat & Joshua C.C. Chan & Rodney Strachan, 2014. "Stochastic Model Specification Search for Time-Varying Parameter VARs," Working Paper series 44_14, Rimini Centre for Economic Analysis.
    33. Lopes, Hedibert F. & McCulloch, Robert E. & Tsay, Ruey S., 2022. "Parsimony inducing priors for large scale state–space models," Journal of Econometrics, Elsevier, vol. 230(1), pages 39-61.
    34. Fu, Bowen, 2020. "Is the slope of the Phillips curve time-varying? Evidence from unobserved components models," Economic Modelling, Elsevier, vol. 88(C), pages 320-340.
    35. Zhou, Xiaocong & Nakajima, Jouchi & West, Mike, 2014. "Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 963-980.
    36. NAKAJIMA, Jouchi, 2025. "Time-varying Local Projections with Stochastic Volatility," Discussion Paper Series 761, Institute of Economic Research, Hitotsubashi University.
    37. Valentina Aprigliano, 2020. "A large Bayesian VAR with a block‐specific shrinkage: A forecasting application for Italian industrial production," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1291-1304, December.
    38. Chan, Joshua C.C. & Eisenstat, Eric, 2018. "Comparing hybrid time-varying parameter VARs," Economics Letters, Elsevier, vol. 171(C), pages 1-5.
    39. Zhongfang He, 2024. "Locally time-varying parameter regression," Econometric Reviews, Taylor & Francis Journals, vol. 43(5), pages 269-300, May.
    40. Daniel Felix Ahelegbey & Luis Carvalho & Eric D. Kolaczyk, 2020. "A Bayesian Covariance Graph And Latent Position Model For Multivariate Financial Time Series," DEM Working Papers Series 181, University of Pavia, Department of Economics and Management.
    41. Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers 2112.11751, arXiv.org.
    42. Liu, Dayu & Xu, Ning & Zhao, Tingting & Song, Yang, 2018. "Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 73(C), pages 45-54.
    43. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
    44. Kim, Hea-Jung & Choi, Taeryon & Jo, Seongil, 2016. "Bayesian factor analysis with uncertain functional constraints about factor loadings," Journal of Multivariate Analysis, Elsevier, vol. 144(C), pages 110-128.
    45. Che, Ming & Zhu, Zixiang & Li, Yujia, 2023. "Geopolitical risk and economic policy uncertainty: Different roles in China's financial cycle," International Review of Financial Analysis, Elsevier, vol. 90(C).
    46. Henrike Michaelis & Sebastian Watzka, 2014. "Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?," CESifo Working Paper Series 4901, CESifo.
    47. Dufays, Arnaud & Rombouts, Jeroen V.K., 2020. "Relevant parameter changes in structural break models," Journal of Econometrics, Elsevier, vol. 217(1), pages 46-78.
    48. Vegard H. Larsen & Leif Anders Thorsrud, 2015. "The Value of News," Working Papers No 6/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    49. Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
    50. Sinem Hacioglu & Kerem Tuzcuoglu, 2016. "Interpreting the latent dynamic factors by threshold FAVAR model," Bank of England working papers 622, Bank of England.
    51. Maheu, John M. & Shamsi Zamenjani, Azam, 2025. "The role of macro-finance factors in predicting stock market volatility: A latent threshold dynamic model," Journal of Empirical Finance, Elsevier, vol. 82(C).
    52. Gustavo Romero Cardoso & Marcio Issao Nakane, 2024. "What's in a headline? News impact on the Brazilian economy," Working Papers, Department of Economics 2024_12, University of São Paulo (FEA-USP).
    53. Martin Feldkircher & Florian Huber & Isabella Moder, 2016. "Modeling the evolution of monetary policy rules in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 8-27.
    54. Zheng Fan & Worapree Maneesoonthorn & Yong Song, 2025. "A New Perspective of the Meese-Rogoff Puzzle: Application of Sparse Dynamic Shrinkage," Papers 2507.14408, arXiv.org.
    55. Shirota, Shinichiro & Omori, Yasuhiro & F. Lopes, Hedibert. & Piao, Haixiang, 2017. "Cholesky realized stochastic volatility model," Econometrics and Statistics, Elsevier, vol. 3(C), pages 34-59.
    56. Siem Jan Koopman & Geert Mesters, 2014. "Empirical Bayes Methods for Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-061/III, Tinbergen Institute.
    57. Sergei Seleznev, 2019. "Truncated priors for tempered hierarchical Dirichlet process vector autoregression," Bank of Russia Working Paper Series wps47, Bank of Russia.
    58. Florian Huber & Gary Koop & Michael Pfarrhofer, 2020. "Bayesian Inference in High-Dimensional Time-varying Parameter Models using Integrated Rotated Gaussian Approximations," Papers 2002.10274, arXiv.org.
    59. Mike West, 2020. "Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 1-31, February.
    60. Sun, Weixin & Wang, Yong & Zhang, Li & Chen, Xihui Haviour & Hoang, Yen Hai, 2025. "Enhancing economic cycle forecasting based on interpretable machine learning and news narrative sentiment," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    61. He, Zhongfang, 2026. "A computationally efficient mixture innovation model for time-varying parameter regressions," Econometrics and Statistics, Elsevier, vol. 37(C), pages 250-269.
    62. McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
    63. Rodríguez, Gabriel & Vassallo, Renato & Castillo B., Paul, 2023. "Effects of external shocks on macroeconomic fluctuations in Pacific Alliance countries," Economic Modelling, Elsevier, vol. 124(C).
    64. Zeng, Zijian & Li, Meng, 2021. "Bayesian median autoregression for robust time series forecasting," International Journal of Forecasting, Elsevier, vol. 37(2), pages 1000-1010.
    65. Leif Anders Thorsrud, 2016. "Nowcasting using news topics Big Data versus big bank," Working Papers No 6/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    66. Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
    67. Jouchi Nakajima, 2020. "Discussion of “Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions”," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 33-36, February.
    68. Junli Cheng & Feng Lin, 2022. "The Dynamic Effects of Urban–Rural Income Inequality on Sustainable Economic Growth under Urbanization and Monetary Policy in China," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
    69. Takeshi Kimura & Jouchi Nakajima, 2013. "Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach," Bank of Japan Working Paper Series 13-E-7, Bank of Japan.
    70. Joshua C.C. Chan & Eric Eisenstat, 2015. "Bayesian model comparison for time-varying parameter VARs with stochastic volatility," CAMA Working Papers 2015-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    71. Long, Shaobo & Xue, Ning & Zhang, Yuan, 2025. "The divergence of China’s prices under economic policy uncertainty shock: A time-varying perspective," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).

  16. Nakajima, Jouchi & Kunihama, Tsuyoshi & Omori, Yasuhiro & Frühwirth-Schnatter, Sylvia, 2012. "Generalized extreme value distribution with time-dependence using the AR and MA models in state space form," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3241-3259.
    See citations under working paper version above.
  17. Nakajima, Jouchi & Omori, Yasuhiro, 2012. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3690-3704.
    See citations under working paper version above.
  18. Jouchi Nakajima, 2012. "Bayesian Analysis Of Generalized Autoregressive Conditional Heteroskedasticity And Stochastic Volatility: Modeling Leverage, Jumps And Heavy‐Tails For Financial Time Series," The Japanese Economic Review, Japanese Economic Association, vol. 63(1), pages 81-103, March.

    Cited by:

    1. Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana, 2020. "Uncertainty Shocks and Business Cycle Research," NBER Working Papers 26768, National Bureau of Economic Research, Inc.
    2. Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Discussion Paper Series 2024_02, Department of Economics, University of Macedonia, revised Feb 2024.
    3. Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Paper 2012/09, Norges Bank.
    4. Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "A Bayesian approach for the determinants of bitcoin returns," Working Papers 2302, University of Guelph, Department of Economics and Finance.
    5. Gabriel Rodriguez & Willy Alanya, 2016. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers 2016-413, Departamento de Economía - Pontificia Universidad Católica del Perú.
    6. Chang, Hao-Wen & Lin, Chinho, 2023. "Currency portfolio behavior in seven major Asian markets," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 540-559.
    7. Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
    8. Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
    9. Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
    10. Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
    11. Noriyuki Kunimoto & Kazuhiko Kakamu, 2021. "Is Bitcoin really a currency? A viewpoint of a stochastic volatility model," Papers 2111.15351, arXiv.org.

  19. Nakajima, Jouchi & Watanabe, Toshiaki, 2012. "Time-Varying Vector Autoregressive Modei-A Survey with the Application to the Japanese Macroeconomic Data-," Economic Review, Hitotsubashi University, vol. 63(3), pages 193-208, July.
    See citations under working paper version above.
  20. Jouchi Nakajima & Mike West, 2012. "Dynamic Factor Volatility Modeling: A Bayesian Latent Threshold Approach," Journal of Financial Econometrics, Oxford University Press, vol. 11(1), pages 116-153, December.

    Cited by:

    1. Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
    2. Tao Sun, 2024. "Bundle Choice Model with Endogenous Regressors: An Application to Soda Tax," Papers 2412.05794, arXiv.org.
    3. Víctor Peña & Kaoru Irie, 2022. "On the Relationship between Uhlig Extended and beta‐Bartlett Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 147-153, January.

  21. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    See citations under working paper version above.
  22. Nakajima Jouchi, 2011. "Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-24, October.
    See citations under working paper version above.
  23. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    See citations under working paper version above.
  24. Nakajima, Jouchi & Omori, Yasuhiro, 2009. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
    See citations under working paper version above.
  25. Omori, Yasuhiro & Chib, Siddhartha & Shephard, Neil & Nakajima, Jouchi, 2007. "Stochastic volatility with leverage: Fast and efficient likelihood inference," Journal of Econometrics, Elsevier, vol. 140(2), pages 425-449, October.

    Cited by:

    1. Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
    2. Martin Iseringhausen & Hauke Vierke, 2018. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," European Economy - Discussion Papers 075, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
    4. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
    5. Khorunzhina, Natalia & Richard, Jean-Francois, 2016. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," MPRA Paper 72326, University Library of Munich, Germany.
    6. Hernández, Juan R., 2025. "Covered interest parity: A forecasting approach to estimate the neutral band," Economic Modelling, Elsevier, vol. 148(C).
    7. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018. "Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 34-62.
    8. Jin‐Yu Chen & Xue‐Hong Zhu & Mei‐Rui Zhong, 2021. "Time‐varying effects and structural change of oil price shocks on industrial output: Evidence from China's oil industrial chain," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3460-3472, July.
    9. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
    10. Makoto Takahashi & Toshiaki Watanabe & Yasuhiro Omori, 2014. "Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution," CIRJE F-Series CIRJE-F-949, CIRJE, Faculty of Economics, University of Tokyo.
    11. Pedro Clavijo-Cortes, 2023. "Is unemployment hysteretic or structural? A Bayesian model selection approach," Empirical Economics, Springer, vol. 65(6), pages 2837-2866, December.
    12. Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
    13. Jonas D. M. Fisher, Jonas D. & Melosi, Leonardo & Sebastian Rast, Sebastian, 2025. "Long-Run Inflation Expectations," The Warwick Economics Research Paper Series (TWERPS) 1551, University of Warwick, Department of Economics.
    14. Jonas D. M. Fisher & Leonardo Melosi & Sebastian Rast, 2025. "Long-Run Inflation Expectations," Working Paper Series WP 2025-03, Federal Reserve Bank of Chicago.
    15. Tino Berger & Gerdie Everaert & Hauke Vierke, 2015. "Testing for time variation in an unobserved components model for the U.S. economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/903, Ghent University, Faculty of Economics and Business Administration.
    16. Guglielmo Maria Caporale & Luis Alberiko Gil‐Alana & Tommaso Trani, 2022. "On the persistence of UK inflation: A long‐range dependence approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 439-454, January.
    17. Gregor Kastner & Sylvia Frühwirth-Schnatter & Hedibert Freitas Lopes, 2016. "Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models," Business and Economics Working Papers 234, Unidade de Negocios e Economia, Insper.
    18. Kelly Trinh & Bo Zhang & Chenghan Hou, 2025. "Macroeconomic real‐time forecasts of univariate models with flexible error structures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(1), pages 59-78, January.
    19. Nakajima, Jouchi & Omori, Yasuhiro, 2009. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
    20. Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
    21. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    22. Casas, Isabel & Lopes Moreira da Veiga, María Helena, 2019. "Exploring option pricing and hedging via volatility asymmetry," DES - Working Papers. Statistics and Econometrics. WS 28234, Universidad Carlos III de Madrid. Departamento de Estadística.
    23. Tsionas, Mike G., 2017. "A non-iterative (trivial) method for posterior inference in stochastic volatility models," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 83-87.
    24. Yu, Jun, 2012. "A semiparametric stochastic volatility model," Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
    25. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
    26. Angelos Alexopoulos & Petros Dellaportas & Omiros Papaspiliopoulos, 2019. "Bayesian prediction of jumps in large panels of time series data," Papers 1904.05312, arXiv.org, revised Apr 2021.
    27. Bognanni, Mark & Zito, John, 2020. "Sequential Bayesian inference for vector autoregressions with stochastic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    28. James H. Stock & Mark W. Watson, 2019. "Trend, Seasonal, and Sectoral Inflation in the Euro Area," Working Papers Central Bank of Chile 847, Central Bank of Chile.
    29. Jouchi Nakajima & Yasuhiro Omori, 2007. "Leverage, Heavy-Tails and Correlated Jumps in Stochastic Volatility Models (Revised in January 2008; Published in "Computational Statistics and Data Analysis", 53-6, 2335-2353. April 2009. )," CARF F-Series CARF-F-107, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    30. Cabral, Celso Rômulo Barbosa & da-Silva, Cibele Queiroz & Migon, Helio S., 2014. "A dynamic linear model with extended skew-normal for the initial distribution of the state parameter," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 64-80.
    31. Theodore Panagiotidis & Georgios Papapanagiotou, 2025. "A note on the determinants of non‐fungible tokens returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 3201-3211, July.
    32. Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
    33. Dinghai Xu, 2009. "The Applications of Mixtures of Normal Distributions in Empirical Finance: A Selected Survey," Working Papers 0904, University of Waterloo, Department of Economics, revised Sep 2009.
    34. Asai, M. & McAleer, M.J., 2010. "Alternative Asymmetric Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-69, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    35. Florian Huber & Katrin Rabitsch, 2019. "Exchange rate dynamics and monetary policy -- Evidence from a non-linear DSGE-VAR approach," Department of Economics Working Papers wuwp295, Vienna University of Economics and Business, Department of Economics.
    36. Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Discussion Paper Series 2024_02, Department of Economics, University of Macedonia, revised Feb 2024.
    37. Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
    38. James H. Stock & Mark W. Watson, 2020. "Trend, Seasonal, and Sectorial Inflation in the Euro Area," Central Banking, Analysis, and Economic Policies Book Series, in: Gonzalo Castex & Jordi Galí & Diego Saravia (ed.),Changing Inflation Dynamics,Evolving Monetary Policy, edition 1, volume 27, chapter 9, pages 317-344, Central Bank of Chile.
    39. Arnoud Stevens & Joris Wauters, 2021. "Is euro area lowflation here to stay? Insights from a time‐varying parameter model with survey data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 566-586, August.
    40. Lin, Qian & Sun, Xianming & Zhou, Chao, 2020. "Horizon-unbiased investment with ambiguity," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    41. Jensen, Mark J. & Maheu, John M., 2014. "Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture," Journal of Econometrics, Elsevier, vol. 178(P3), pages 523-538.
    42. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2016. "Volatility Forecasts Using Nonlinear Leverage Effects," Papers 1605.06482, arXiv.org, revised Dec 2017.
    43. Joshua C C Chan & Cody Y L Hsiao, 2013. "Estimation of Stochastic Volatility Models with Heavy Tails and Serial Dependence," CAMA Working Papers 2013-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    44. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    45. Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models," CIRJE F-Series CIRJE-F-738, CIRJE, Faculty of Economics, University of Tokyo.
    46. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    47. Zhu, Qinwen & Diao, Xundi & Wu, Chongfeng, 2023. "Volatility forecast with the regularity modifications," Finance Research Letters, Elsevier, vol. 58(PA).
    48. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
    49. Michael Pitt & Sheheryar Malik & Arnaud Doucet, 2014. "Simulated likelihood inference for stochastic volatility models using continuous particle filtering," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 66(3), pages 527-552, June.
    50. Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda, 2022. "Sectoral Uncertainty," "Marco Fanno" Working Papers 0288, Dipartimento di Scienze Economiche "Marco Fanno".
    51. Maciej Kostrzewski, 2016. "Bayesian SVLEDEJ Model for Detecting Jumps in Logarithmic Growth Rates of One Month Forward Gas Contract Prices," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(3), pages 161-179, September.
    52. Audrone Virbickaite & Hedibert F. Lopes & Maria Concepción Ausín & Pedro Galeano, 2018. "Particle Learning for Bayesian Semi-Parametric Stochastic Volatility Model," DEA Working Papers 88, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    53. Danilo Cascaldi-Garcia, 2017. "Amplification effects of news shocks through uncertainty," 2017 Papers pca1251, Job Market Papers.
    54. Tsunehiro Ishihara & Yasuhiro Omori, 2017. "Portfolio optimization using dynamic factor and stochastic volatility: evidence on Fat-tailed errors and leverage," The Japanese Economic Review, Japanese Economic Association, vol. 68(1), pages 63-94, March.
    55. Nonejad Nima, 2015. "Particle Gibbs with ancestor sampling for stochastic volatility models with: heavy tails, in mean effects, leverage, serial dependence and structural breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 561-584, December.
    56. Maria Kalli & Jim Griffin, 2015. "Flexible Modeling of Dependence in Volatility Processes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 102-113, January.
    57. Abdelhakim Aknouche, 2017. "Periodic autoregressive stochastic volatility," Statistical Inference for Stochastic Processes, Springer, vol. 20(2), pages 139-177, July.
    58. Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
    59. Didit Nugroho & Takayuki Morimoto, 2015. "Estimation of realized stochastic volatility models using Hamiltonian Monte Carlo-Based methods," Computational Statistics, Springer, vol. 30(2), pages 491-516, June.
    60. Nakajima, Jouchi & Omori, Yasuhiro, 2012. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3690-3704.
    61. Todd E. Clark & Fabian Krueger & Francesco Ravazzolo, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers (Old Series) 1439, Federal Reserve Bank of Cleveland.
    62. Sebastian Ankargren & M{aa}ns Unosson & Yukai Yang, 2019. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Papers 1911.09151, arXiv.org.
    63. Ulm, M. & Hambuckers, J., 2022. "Do interest rate differentials drive the volatility of exchange rates? Evidence from an extended stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 65(C), pages 125-148.
    64. Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
    65. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
    66. Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
    67. Mark Bognanni & John Zito, 2019. "Sequential Bayesian Inference for Vector Autoregressions with Stochastic Volatility," Working Papers 19-29, Federal Reserve Bank of Cleveland.
    68. Xiao-Bin Liu & Yong Li, 2013. "Bayesian testing volatility persistence in stochastic volatility models with jumps," Quantitative Finance, Taylor & Francis Journals, vol. 14(8), pages 1415-1426, December.
    69. Sergey Egiev, 2016. "On Persistence of Uncertainty Shocks," HSE Working papers WP BRP 144/EC/2016, National Research University Higher School of Economics.
    70. Chen, Jinyu & Zhu, Xuehong & Li, Hailing, 2020. "The pass-through effects of oil price shocks on China's inflation: A time-varying analysis," Energy Economics, Elsevier, vol. 86(C).
    71. Byrne, Joseph P & Ibrahim, Boulis Maher & Zong, Xiaoyu, 2020. "Asset Prices and Capital Share Risks: Theory and Evidence," MPRA Paper 101781, University Library of Munich, Germany.
    72. Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
    73. Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility," Energy Economics, Elsevier, vol. 45(C), pages 66-98.
    74. Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2010. "Bayesian Estimation and Particle Filter for Max-Stable Processes," CIRJE F-Series CIRJE-F-757, CIRJE, Faculty of Economics, University of Tokyo.
    75. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Working Papers 550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    76. Xu Gong & Yujing Jin & Chuanwang Sun, 2022. "Time‐varying pure contagion effect between energy and nonenergy commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1960-1986, October.
    77. Watanabe, Toshiaki & Nakajima, Jouchi, 2024. "High-frequency realized stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 79(C).
    78. Christopher D. Walker, 2024. "A Bayesian Perspective on the Maximum Score Problem," Papers 2410.17153, arXiv.org.
    79. Naoki Awaya & Yasuhiro Omori, 2019. "Particle rolling MCMC," CIRJE F-Series CIRJE-F-1110, CIRJE, Faculty of Economics, University of Tokyo.
    80. Kleppe, Tore Selland & Skaug, Hans J., 2008. "Simulated maximum likelihood for general stochastic volatility models: a change of variable approach," MPRA Paper 12022, University Library of Munich, Germany.
    81. Jouchi Nakajima, 2008. "EGARCH and Stochastic Volatility: Modeling Jumps and Heavy-tails for Stock Returns," IMES Discussion Paper Series 08-E-23, Institute for Monetary and Economic Studies, Bank of Japan.
    82. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
    83. Chon, Sora & Kim, Jaeho, 2021. "Does the Financial Leverage Effect Depend on Volatility Regimes?," Finance Research Letters, Elsevier, vol. 39(C).
    84. Martin Iseringhausen, 2018. "The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility Stochastic Skewness Model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 18/944, Ghent University, Faculty of Economics and Business Administration.
    85. Charles S. Bos, 2011. "Relating Stochastic Volatility Estimation Methods," Tinbergen Institute Discussion Papers 11-049/4, Tinbergen Institute.
    86. Malik, Sheheryar & Pitt, Michael K., 2011. "Particle filters for continuous likelihood evaluation and maximisation," Journal of Econometrics, Elsevier, vol. 165(2), pages 190-209.
    87. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    88. Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2013. "News impact curve for stochastic volatility models," Economics Letters, Elsevier, vol. 120(1), pages 130-134.
    89. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    90. Florian Huber & Gregor Kastner & Michael Pfarrhofer, 2025. "Introducing shrinkage in heavy-tailed state space models to predict equity excess returns," Empirical Economics, Springer, vol. 68(2), pages 535-553, February.
    91. Shinichiro Shirota & Yashiro Omori & Hedibert Lopes & Haixiang Piao, 2016. "Cholesky Realized Stochasti Volatility Model," Business and Economics Working Papers 224, Unidade de Negocios e Economia, Insper.
    92. Sabiwalsky, Ralf, 2012. "Does Basel II pillar 3 risk exposure data help to identify risky banks?," SFB 649 Discussion Papers 2012-008, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    93. Christophe Chesneau & Salima El Kolei & Fabien Navarro, 2022. "Parametric estimation of hidden Markov models by least squares type estimation and deconvolution," Statistical Papers, Springer, vol. 63(5), pages 1615-1648, October.
    94. Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
    95. Tino Berger & Sibylle Grabert & Bernd Kempa, 2016. "Global and Country-Specific Output Growth Uncertainty and Macroeconomic Performance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 694-716, October.
    96. Maciej Kostrzewski & Jadwiga Kostrzewska, 2021. "The Impact of Forecasting Jumps on Forecasting Electricity Prices," Energies, MDPI, vol. 14(2), pages 1-17, January.
    97. Malik, Sheheryar & Pitt, Michael K., "undated". "Modelling Stochastic Volatility with Leverage and Jumps: A Simulated Maximum Likelihood Approach via Particle Filtering," Economic Research Papers 271302, University of Warwick - Department of Economics.
    98. Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
    99. Cathy W.S. Chen & Toshiaki Watanabe, 2019. "Bayesian modeling and forecasting of Value‐at‐Risk via threshold realized volatility," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(3), pages 747-765, May.
    100. Justin L. Tobias, 2025. "Adaptive Bayesian Nonparametric Regression via Stationary Smoothness Priors," Mathematics, MDPI, vol. 13(7), pages 1-19, March.
    101. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    102. Kim, Jaeho, 2015. "Bayesian Inference in a Non-linear/Non-Gaussian Switching State Space Model: Regime-dependent Leverage Effect in the U.S. Stock Market," MPRA Paper 67153, University Library of Munich, Germany.
    103. Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2024. "Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility," Econometrics and Statistics, Elsevier, vol. 32(C), pages 34-56.
    104. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
    105. Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "A Bayesian approach for the determinants of bitcoin returns," Working Papers 2302, University of Guelph, Department of Economics and Finance.
    106. Kreuzer, Alexander & Czado, Claudia, 2021. "Bayesian inference for a single factor copula stochastic volatility model using Hamiltonian Monte Carlo," Econometrics and Statistics, Elsevier, vol. 19(C), pages 130-150.
    107. Shirota, Shinichiro & Hizu, Takayuki & Omori, Yasuhiro, 2014. "Realized stochastic volatility with leverage and long memory," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 618-641.
    108. Phillip, Andrew & Chan, Jennifer & Peiris, Shelton, 2020. "On generalized bivariate student-t Gegenbauer long memory stochastic volatility models with leverage: Bayesian forecasting of cryptocurrencies with a focus on Bitcoin," Econometrics and Statistics, Elsevier, vol. 16(C), pages 69-90.
    109. Francesco Corsello & Valerio Nispi Landi, 2020. "Labor Market and Financial Shocks: A Time‐Varying Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(4), pages 777-801, June.
    110. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36, Federal Reserve Bank of Cleveland.
    111. Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
    112. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruwirth-Scnatter, 2009. "Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form," IMES Discussion Paper Series 09-E-32, Institute for Monetary and Economic Studies, Bank of Japan.
    113. Gregor Kastner, 2019. "Dealing with Stochastic Volatility in Time Series Using the R Package stochvol," Papers 1906.12134, arXiv.org.
    114. Karim Moussa, 2025. "On the Correlations in Linearized Multivariate Stochastic Volatility Models," Tinbergen Institute Discussion Papers 25-021/V, Tinbergen Institute.
    115. James M. Nason & Gregor W. Smith, 2021. "UK Inflation Forecasts since the Thirteenth Century," Working Paper 1454, Economics Department, Queen's University.
    116. Virbickaitė, Audronė & Frey, Christoph & Macedo, Demian N., 2020. "Bayesian sequential stock return prediction through copulas," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    117. Joshua C C Chan, 2012. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," ANU Working Papers in Economics and Econometrics 2012-591, Australian National University, College of Business and Economics, School of Economics.
    118. Berger, Tino & Grabert, Sibylle & Kempa, Bernd, 2017. "Global macroeconomic uncertainty," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 42-56.
    119. Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
    120. Boufateh, Talel & Saadaoui, Zied, 2021. "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 102(C).
    121. Cem Cakmakli & Hamza Demircan, 2020. "Using Survey Information for Improving the Density Nowcasting of US GDP with a Focus on Predictive Performance during Covid-19 Pandemic," Koç University-TUSIAD Economic Research Forum Working Papers 2016, Koc University-TUSIAD Economic Research Forum.
    122. Naoki Awaya & Yasuhiro Omori, 2018. "Particle rolling MCMC with double block sampling: conditional SMC update approach," CIRJE F-Series CIRJE-F-1080, CIRJE, Faculty of Economics, University of Tokyo.
    123. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2014. "Score driven asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws142618, Universidad Carlos III de Madrid. Departamento de Estadística.
    124. Annika Camehl & Tomasz Wo'zniak, 2025. "Time-Varying Identification of Structural Vector Autoregressions," Papers 2502.19659, arXiv.org.
    125. Huang, Jing-Zhi & Ni, Jun & Xu, Li, 2022. "Leverage effect in cryptocurrency markets," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    126. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
    127. Gabriel Rodriguez & Willy Alanya, 2016. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers 2016-413, Departamento de Economía - Pontificia Universidad Católica del Perú.
    128. Martín Almuzara & Richard Audoly & Davide Melcangi, 2025. "A Measure of Trend Wage Inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(5), pages 508-520, August.
    129. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2022. "Bayesian Modeling of TVP-VARs Using Regression Trees," Papers 2209.11970, arXiv.org, revised May 2023.
    130. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    131. Qian Lin & Xianming Sun & Chao Zhou, 2019. "Horizon-unbiased Investment with Ambiguity," Papers 1904.09379, arXiv.org.
    132. Kostrzewski, Maciej & Kostrzewska, Jadwiga, 2019. "Probabilistic electricity price forecasting with Bayesian stochastic volatility models," Energy Economics, Elsevier, vol. 80(C), pages 610-620.
    133. BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    134. Arthur T. Rego & Thiago R. dos Santos, 2018. "Non-Gaussian Stochastic Volatility Model with Jumps via Gibbs Sampler," Papers 1809.01501, arXiv.org, revised Oct 2018.
    135. Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    136. Tak Kuen Siu, 2023. "Bayesian nonlinear expectation for time series modelling and its application to Bitcoin," Empirical Economics, Springer, vol. 64(1), pages 505-537, January.
    137. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
    138. Ishihara, Tsunehiro & Omori, Yasuhiro & Asai, Manabu, 2016. "Matrix exponential stochastic volatility with cross leverage," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 331-350.
    139. Naoki Awaya & Yasuhiro Omori, 2021. "Particle Rolling MCMC with Double-Block Sampling ," CIRJE F-Series CIRJE-F-1175, CIRJE, Faculty of Economics, University of Tokyo.
    140. Zhou, Xiaocong & Nakajima, Jouchi & West, Mike, 2014. "Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 963-980.
    141. Watanabe, Toshiaki & Nakajima, Jouchi, 2023. "High-frequency realized stochastic volatility model," Discussion paper series HIAS-E-127, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    142. Nonejad, Nima, 2017. "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 61(C), pages 388-408.
    143. Yasuhiro Omori & Toshiaki Watanabe, 2007. "Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models (Published in "Computational Statistics and Data Analysis", 52-6, 2892-2910. February 2008. )," CARF F-Series CARF-F-103, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    144. Jonathan R. Stroud & Michael S. Johannes, 2014. "Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1368-1384, December.
    145. Ming Ma & Jing Zhang, 2023. "RETRACTED ARTICLE: A Bayesian analysis based on multivariate stochastic volatility model: evidence from green stocks," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-14, January.
    146. Martin Iseringhausen & Ivan Petrella & Konstantinos Theodoridis, 2022. "Aggregate skewness and the business cycle," Working Papers 53, European Stability Mechanism.
    147. NAKAJIMA, Jouchi, 2025. "Time-varying Local Projections with Stochastic Volatility," Discussion Paper Series 761, Institute of Economic Research, Hitotsubashi University.
    148. Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 17-15R, Federal Reserve Bank of Cleveland.
    149. Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2015. "Cholesky Realized Stochastic Volatility Model," CIRJE F-Series CIRJE-F-979, CIRJE, Faculty of Economics, University of Tokyo.
    150. James H. Stock & Mark W. Watson, 2019. "Trend, Seasonal, and Sectoral Inflation in the Euro Area," Working Papers 2019-30, Princeton University. Economics Department..
    151. Zhongfang He, 2024. "Locally time-varying parameter regression," Econometric Reviews, Taylor & Francis Journals, vol. 43(5), pages 269-300, May.
    152. Carlos A. Abanto-Valle & Hernán B. Garrafa-Aragón, 2019. "Threshold Stochastic Volatility Models with Heavy Tails:A Bayesian Approach," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 32-53.
    153. Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
    154. Ravazzolo Francesco & Rothman Philip, 2016. "Oil-price density forecasts of US GDP," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 441-453, September.
    155. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
    156. Bermudez, P. de Zea & Marín, J. Miguel & Rue, Håvard & Veiga, Helena, 2024. "Integrated nested Laplace approximations for threshold stochastic volatility models," Econometrics and Statistics, Elsevier, vol. 30(C), pages 15-35.
    157. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
    158. Yuta Kurose, 2021. "Stochastic volatility model with range-based correction and leverage," Papers 2110.00039, arXiv.org, revised Oct 2021.
    159. Gerdie Everaert & Martin Iseringhausen, 2017. "Measuring The International Dimension Of Output Volatility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/928, Ghent University, Faculty of Economics and Business Administration.
    160. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    161. Creal, Drew D. & Tsay, Ruey S., 2015. "High dimensional dynamic stochastic copula models," Journal of Econometrics, Elsevier, vol. 189(2), pages 335-345.
    162. Süleyman Taşpınar & Osman DoĞan & Jiyoung Chae & Anil K. Bera, 2021. "Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1243-1272, October.
    163. Omori, Yasuhiro & Watanabe, Toshiaki, 2008. "Block sampler and posterior mode estimation for asymmetric stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2892-2910, February.
    164. Mustafa Kocoglu & Ferit Kula, 2025. "Testing the equilibrium path of exchange rates, monetary policy, and trade balance in the Türkiye," Economic Change and Restructuring, Springer, vol. 58(3), pages 1-25, June.
    165. Wang, Joanna J.J. & Chan, Jennifer S.K. & Choy, S.T. Boris, 2011. "Stochastic volatility models with leverage and heavy-tailed distributions: A Bayesian approach using scale mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 852-862, January.
    166. Haroon Mumtaz, 2018. "A generalised stochastic volatility in mean VAR," Working Papers 855, Queen Mary University of London, School of Economics and Finance.
    167. James H. Stock & Mark W. Watson, 2015. "Core Inflation and Trend Inflation," NBER Working Papers 21282, National Bureau of Economic Research, Inc.
    168. Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
    169. Gregor Kastner & Sylvia Fruhwirth-Schnatter, 2017. "Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models," Papers 1706.05280, arXiv.org.
    170. Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2024. "Consumption in asset returns," LSE Research Online Documents on Economics 126152, London School of Economics and Political Science, LSE Library.
    171. IIBOSHI Hirokuni & MATSUMAE Tatsuyoshi & NISHIYAMA Shin-Ichi, 2014. "Sources of the Great Recession：A Bayesian Approach of a Data-Rich DSGE model with Time-Varying Volatility Shocks," ESRI Discussion paper series 313, Economic and Social Research Institute (ESRI).
    172. Cem Çakmakli & Selva Demi̇ralp & Gökhan Şahi̇n Güneş, 2024. "Do Financial Markets Respond to Populist Rhetoric?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 541-567, June.
    173. Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
    174. Hong, Hui & Bian, Zhicun & Chen, Naiwei, 2020. "Leverage effect on stochastic volatility for option pricing in Hong Kong: A simulation and empirical study," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    175. Minheng Xiao, 2022. "Data-Driven Risk Measurement by SV-GARCH-EVT Model," Papers 2201.09434, arXiv.org, revised Dec 2024.
    176. Pym Manopimoke & Vorada Limjaroenrat, 2016. "Trend Inflation Estimates for Thailand from Disaggregated Data," PIER Discussion Papers 51, Puey Ungphakorn Institute for Economic Research.
    177. Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2008. "Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4608-4624, June.
    178. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    179. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss and T. Mikosch), 365-400. Springer-Verlag: New Yo," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    180. Siddhartha Chib & Minchul Shin & Fei Tan, 2020. "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers 20-35, Federal Reserve Bank of Philadelphia.
    181. Drew D. Creal & Jing Cynthia Wu, 2014. "Monetary Policy Uncertainty and Economic Fluctuations," NBER Working Papers 20594, National Bureau of Economic Research, Inc.
    182. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    183. Qin, Yun & Chen, Jinyu & Dong, Xuesong, 2021. "Oil prices, policy uncertainty and travel and leisure stocks in China," Energy Economics, Elsevier, vol. 96(C).
    184. Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic Forecasting in a Multi-country Context," Working Papers 22-02, Federal Reserve Bank of Cleveland.
    185. Audrone Virbickaite & Hedibert F. Lopes, 2018. "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers 89, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    186. Nalan Basturk & Pinar Ceyhan & Herman K. van Dijk, 2014. "Bayesian Forecasting of US Growth using Basic Time Varying Parameter Models and Expectations Data," Tinbergen Institute Discussion Papers 14-119/III, Tinbergen Institute, revised 14 Sep 2014.
    187. Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
    188. Travis J. Berge, 2020. "Time-varying Uncertainty of the Federal Reserve’s Output Gap Estimate," Finance and Economics Discussion Series 2020-012r1, Board of Governors of the Federal Reserve System (U.S.), revised 14 Apr 2021.
    189. Huang Yu-Fan, 2021. "An effcient exact Bayesian method For state space models with stochastic volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-10, April.
    190. Helmut Lutkepohl & Fei Shang & Luis Uzeda & Tomasz Wo'zniak, 2024. "Partial Identification of Structural Vector Autoregressions with Non-Centred Stochastic Volatility," Papers 2404.11057, arXiv.org, revised Oct 2025.
    191. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    192. Karamé, Frédéric, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Econometrics and Statistics, Elsevier, vol. 8(C), pages 204-230.
    193. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Extended New Keynesian Phillips Curve Models with Non-filtered Data," Tinbergen Institute Discussion Papers 13-090/III, Tinbergen Institute.
    194. Djennad, Abdelmajid & Rigby, Robert & Stasinopoulos, Dimitrios & Voudouris, Vlasios & Eilers, Paul, 2015. "Beyond location and dispersion models: The Generalized Structural Time Series Model with Applications," MPRA Paper 62807, University Library of Munich, Germany.
    195. Istvan Barra & Siem Jan Koopman & Agnieszka Borowska, 2016. "Bayesian Dynamic Modeling of High-Frequency Integer Price Changes," Tinbergen Institute Discussion Papers 16-028/III, Tinbergen Institute, revised 16 Feb 2018.
    196. Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
    197. Awijen, Haithem & Ben Zaied, Younes & Nguyen, Duc Khuong & Sensoy, Ahmet, 2020. "Endogenous Financial Uncertainty and Macroeconomic Volatility: Evidence from the United States," MPRA Paper 101276, University Library of Munich, Germany, revised Jun 2020.
    198. Tsunehiro Ishihara & Yasuhiro Omori, 2017. "Portfolio optimization using dynamic factor and stochastic volatility: evidence on Fat-tailed errors and leverage," The Japanese Economic Review, Springer, vol. 68(1), pages 63-94, March.
    199. Zheng Fan & Worapree Maneesoonthorn & Yong Song, 2025. "A New Perspective of the Meese-Rogoff Puzzle: Application of Sparse Dynamic Shrinkage," Papers 2507.14408, arXiv.org.
    200. Mumtaz, Haroon, 2018. "A generalised stochastic volatility in mean VAR," Economics Letters, Elsevier, vol. 173(C), pages 10-14.
    201. Naoko Hara & Kazuhiro Hiraki & Yoshitaka Ichise, 2015. "Changing Exchange Rate Pass-Through in Japan: Does It Indicate Changing Pricing Behavior?," Bank of Japan Working Paper Series 15-E-4, Bank of Japan.
    202. Ryuichiro Hirano & Yutaro Takano & Kosuke Takatomi, 2026. "What Drives Trend Inflation in Japan? : A Trend-Cycle BVAR Decomposition Approach," Bank of Japan Working Paper Series 26-E-1, Bank of Japan.
    203. Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2009. "Estimating stochastic volatility models using daily returns and realized volatility simultaneously," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2404-2426, April.
    204. Zribi, Wissal & Boufateh, Talel & Guesmi, Khaled, 2023. "Climate uncertainty effects on bitcoin ecological footprint through cryptocurrency environmental attention," Finance Research Letters, Elsevier, vol. 58(PD).
    205. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Measuring Uncertainty and Its Impact on the Economy," BAFFI CAREFIN Working Papers 1639, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    206. Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding trend inflation through the lens of the goods and services sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 751-766, August.
    207. Cem Cakmakli & Verda Ozturk, 2021. "Economic Value of Modeling the Joint Distribution of Returns and Volatility: Leverage Timing," Koç University-TUSIAD Economic Research Forum Working Papers 2110, Koc University-TUSIAD Economic Research Forum.
    208. Yuta Kurose & Yasuhiro Omori, 2012. "Bayesian Analysis of Time-Varying Quantiles Using a Smoothing Spline," CIRJE F-Series CIRJE-F-845, CIRJE, Faculty of Economics, University of Tokyo.
    209. Lee, Cheol Woo & Kang, Kyu Ho, 2023. "Estimating and testing skewness in a stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 445-467.
    210. Joshua C.C. Chan & Rodney W. Strachan, 2023. "Bayesian State Space Models In Macroeconometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
    211. Yanhui Xi & Hui Peng & Yemei Qin, 2016. "Modeling Financial Time Series Based on a Market Microstructure Model with Leverage Effect," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, February.
    212. He, Zhongfang, 2026. "A computationally efficient mixture innovation model for time-varying parameter regressions," Econometrics and Statistics, Elsevier, vol. 37(C), pages 250-269.
    213. James M. Nason & Gregor W. Smith, 2023. "Uk Inflation Dynamics Since The Thirteenth Century," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(4), pages 1595-1614, November.
    214. Doğan, Osman & Taşpınar, Süleyman & Bera, Anil K., 2021. "A Bayesian robust chi-squared test for testing simple hypotheses," Journal of Econometrics, Elsevier, vol. 222(2), pages 933-958.
    215. Xiuqin Xu & Ying Chen, 2021. "Deep Stochastic Volatility Model," Papers 2102.12658, arXiv.org.
    216. Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2011. "Efficient estimation and particle filter for max-stable processes," CIRJE F-Series CIRJE-F-791, CIRJE, Faculty of Economics, University of Tokyo.
    217. Michael Grabchak & Eliana Christou, 2021. "A note on calculating expected shortfall for discrete time stochastic volatility models," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-16, December.
    218. Niko Hauzenberger Massimiliano Marcellino Michael Pfarrhofer Anna Stelzer, 2026. "Direct Gaussian Process Predictive Regressions with Mixed Frequency Data," BAFFI CAREFIN Working Papers 26265, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    219. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2020. "The effects of geopolitical risks on the stock dynamics of China's rare metals: A TVP-VAR analysis," Resources Policy, Elsevier, vol. 68(C).
    220. Malik, Sheheryar & Pitt, Michael K, 2009. "Modelling Stochastic Volatility with Leverage and Jumps : A Simulated Maximum Likelihood Approach via Particle Filtering," The Warwick Economics Research Paper Series (TWERPS) 897, University of Warwick, Department of Economics.
    221. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2020. "The economic drivers of volatility and uncertainty," Temi di discussione (Economic working papers) 1285, Bank of Italy, Economic Research and International Relations Area.
    222. Helmut Lütkepohl & Fei Shang & Luis Uzeda & Tomasz Woźniak, 2024. "Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference," Discussion Papers of DIW Berlin 2081, DIW Berlin, German Institute for Economic Research.
    223. Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhuang, Xin-Tian, 2018. "Modeling volatility dynamics using non-Gaussian stochastic volatility model based on band matrix routine," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 193-201.
    224. Abanto-Valle, C.A. & Bandyopadhyay, D. & Lachos, V.H. & Enriquez, I., 2010. "Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 2883-2898, December.
    225. Skaug, Hans J. & Yu, Jun, 2014. "A flexible and automated likelihood based framework for inference in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 642-654.
    226. McCausland, William J., 2012. "The HESSIAN method: Highly efficient simulation smoothing, in a nutshell," Journal of Econometrics, Elsevier, vol. 168(2), pages 189-206.
    227. Daichi Hiraki & Siddhartha Chib & Yasuhiro Omori, 2024. "Stochastic Volatility in Mean: Efficient Analysis by a Generalized Mixture Sampler," Papers 2404.13986, arXiv.org, revised Nov 2024.
    228. Delatola, E.-I. & Griffin, J.E., 2013. "A Bayesian semiparametric model for volatility with a leverage effect," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 97-110.
    229. Dinghai Xu & John Knight, 2013. "Stochastic volatility model under a discrete mixture-of-normal specification," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 216-239, April.
    230. István Barra & Lennart Hoogerheide & Siem Jan Koopman & André Lucas, 2014. "Joint Bayesian Analysis of Parameters and States in Nonlinear, Non-Gaussian State Space Models," Tinbergen Institute Discussion Papers 14-118/III, Tinbergen Institute, revised 31 Mar 2016.
    231. Sebastian Ankargren & Paulina Jon'eus, 2019. "Estimating Large Mixed-Frequency Bayesian VAR Models," Papers 1912.02231, arXiv.org.
    232. Darjus Hosszejni & Gregor Kastner, 2019. "Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage," Papers 1901.11491, arXiv.org, revised Nov 2019.
    233. Umberto Triacca & Fulvia Focker, 2014. "Estimating overnight volatility of asset returns by using the generalized dynamic factor model approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(2), pages 235-254, October.
    234. Cross, Jamie L. & Hou, Chenghan & Trinh, Kelly, 2021. "Returns, volatility and the cryptocurrency bubble of 2017–18," Economic Modelling, Elsevier, vol. 104(C).
    235. Kitsul, Yuriy & Wright, Jonathan H., 2013. "The economics of options-implied inflation probability density functions," Journal of Financial Economics, Elsevier, vol. 110(3), pages 696-711.
    236. Osman Dou{g}an & Raffaele Mattera & Philipp Otto & Suleyman Tac{s}p{i}nar, 2024. "A Dynamic Spatiotemporal and Network ARCH Model with Common Factors," Papers 2410.16526, arXiv.org.
    237. Berger, Tino & Richter, Julia, 2017. "What has caused global business cycle decoupling: Smaller shocks or reduced sensitivity?," University of Göttingen Working Papers in Economics 300, University of Goettingen, Department of Economics.
    238. Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
    239. T. R. Santos, 2018. "A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach," Papers 1809.01489, arXiv.org.
    240. Asai, Manabu & McAleer, Michael, 2009. "The structure of dynamic correlations in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 150(2), pages 182-192, June.
    241. Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
    242. Sanha Noh, 2020. "Posterior Inference on Parameters in a Nonlinear DSGE Model via Gaussian-Based Filters," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 795-841, December.
    243. Annika Camehl & Tomasz Wo'zniak, 2023. "Time-Varying Identification of Monetary Policy Shocks," Papers 2311.05883, arXiv.org, revised May 2024.
    244. Daichi Hiraki & Yasuhiro Omori, 2026. "Unified Mixture Sampler for State-Space Models: Application to Stochastic Conditional Duration Models," Papers 2604.04517, arXiv.org.
    245. Omar Abbara & Mauricio Zevallos, 2022. "Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models," Econometrics, MDPI, vol. 11(1), pages 1-18, December.
    246. Kleppe, Tore Selland & Skaug, Hans Julius, 2012. "Fitting general stochastic volatility models using Laplace accelerated sequential importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3105-3119.
    247. Cem Çakmakli, 2012. "Bayesian Semiparametric Dynamic Nelson-Siegel Model," Working Paper series 59_12, Rimini Centre for Economic Analysis, revised Sep 2012.
    248. Noriyuki Kunimoto & Kazuhiko Kakamu, 2021. "Is Bitcoin really a currency? A viewpoint of a stochastic volatility model," Papers 2111.15351, arXiv.org.
    249. Osman Doğan & Süleyman Taşpınar & Anil K. Bera, 2021. "Bayesian estimation of stochastic tail index from high-frequency financial data," Empirical Economics, Springer, vol. 61(5), pages 2685-2711, November.
    250. Smith Daniel R, 2009. "Asymmetry in Stochastic Volatility Models: Threshold or Correlation?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(3), pages 1-36, May.
    251. Aydin Yakut, Dilan, 2025. "Beyond Aggregates: A Dual Lens on Eurozone Trend Inflation," Research Technical Papers 3/RT/25, Central Bank of Ireland.

  26. Shin-Ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2006. "Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies under Financial Distress," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 11(4), pages 482-501.

    Cited by:

    1. Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2007. "The Role of Trade Credit for Small Firms: An Implication from Japan's Banking Crisis," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 3(1), pages 27-50, December.
    2. Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2018. "The Role of Corporate Governance in Japanese Unlisted Companies," CIRJE F-Series CIRJE-F-1081, CIRJE, Faculty of Economics, University of Tokyo.
    3. Kaoru HOSONO, 2009. "Financial Crisis, Firm Dynamics and Aggregate Productivity in Japan," Discussion papers 09012, Research Institute of Economy, Trade and Industry (RIETI).
    4. Berg, Tobias & Kaserer, Christoph, 2015. "Does contingent capital induce excessive risk-taking?," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 488, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    5. Hirofumi Uchida & Daisuke Miyakawa & Kaoru Hosono & Arito Ono & Taisuke Uchino & Ichiro Uesugi, 2015. "Financial Shocks, Bankruptcy, and Natural Selection," Mo.Fi.R. Working Papers 110, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    6. Santiago Carbó‐Valverde & Francisco Rodríguez‐Fernández & Gregory F. Udell, 2016. "Trade Credit, the Financial Crisis, and SME Access to Finance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(1), pages 113-143, February.
    7. Uchida, Hirofumi & Miyakawa, Daisuke & Hosono, Kaoru & Ono, Arito & Uchino, Taisuke & Uesugi, Iichiro, 2013. "Natural Disaster and Natural Selection," Working Paper Series 25, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    8. Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2007. "The Role of Trade Credit for Small Firms : An Implication from Japan’s Banking Crisis," Finance Working Papers 22596, East Asian Bureau of Economic Research.
    9. Akiyoshi, Fumio & Kobayashi, Keiichiro, 2010. "Banking crisis and productivity of borrowing firms: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 22(3), pages 141-150, August.
    10. Kentaro Imai, 2013. "A Panel Study of Zombie SMEs in Japan: Identification, Borrowing and Investment Behavior," Discussion Papers in Economics and Business 13-16-Rev., Osaka University, Graduate School of Economics, revised Sep 2014.
    11. Scott Wilbur, 2019. "Credit Guarantees and Zombie Firms," Working Papers hal-02382926, HAL.
    12. Imai, Kentaro, 2016. "A panel study of zombie SMEs in Japan: Identification, borrowing and investment behavior," Journal of the Japanese and International Economies, Elsevier, vol. 39(C), pages 91-107.
    13. Kaihatsu, Sohei & Kurozumi, Takushi, 2014. "What caused Japan’s Great Stagnation in the 1990s? Evidence from an estimated DSGE model," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 217-235.
    14. Kentaro Imai, 2013. "A Panel Study of eZombie f SMEs in Japan: Identification, Borrowing and Investment Behavior," Discussion Papers in Economics and Business 13-16, Osaka University, Graduate School of Economics.

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