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The Anatomy of Sentiment-driven Fluctuations

Citations

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Cited by:

  1. Chahrour, Ryan & Ulbricht, Robert, 2017. "Information-driven Business Cycles: A Primal Approach," TSE Working Papers 17-784, Toulouse School of Economics (TSE), revised Dec 2017.
  2. Liudmila Kitrar & Tamara Lipkind, 2021. "Development Of Composite Indicators Of Cyclical Response In Business Surveys Considering The Specifics Of The ‘Covid-19 Economy’," HSE Working papers WP BRP 121/STI/2021, National Research University Higher School of Economics.
  3. Ciccarone Giuseppe & Giuli Francesco & Marchetti Enrico, 2020. "Prospect Theory and sentiment-driven fluctuations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-25, January.
  4. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2022. "Scheduled macroeconomic news announcements and intraday market sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
  5. Di Bella, Gabriel & Grigoli, Francesco, 2019. "Optimism, pessimism, and short-term fluctuations," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 79-96.
  6. Thomas Lubik & Christian Matthes & Elmar Mertens, 2023. "Indeterminacy and Imperfect Information," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 37-57, July.
  7. Lartey, Theophilus & Danso, Albert & Owusu-Agyei, Samuel, 2020. "CEOs' market sentiment and corporate innovation: The role of financial uncertainty, competition and capital intensity," International Review of Financial Analysis, Elsevier, vol. 72(C).
  8. Xu, Zhiwei & Zhou, Fei & Zhou, Jing, 2022. "Sentiments and real business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
  9. Huo, Zhen & Pedroni, Marcelo, 2023. "Dynamic information aggregation: Learning from the past," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 107-124.
  10. Laura Nowzohour & Livio Stracca, 2020. "More Than A Feeling: Confidence, Uncertainty, And Macroeconomic Fluctuations," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 691-726, September.
  11. George-Marios Angeletos, 2018. "Frictional Coordination," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 563-603.
  12. Alistair Macaulay & Wenting Song, 2022. "Narrative-Driven Fluctuations in Sentiment: Evidence Linking Traditional and Social Media," Economics Series Working Papers 973, University of Oxford, Department of Economics.
  13. Ryan Chahrour & Robert Ulbricht, 2023. "Robust Predictions for DSGE Models with Incomplete Information," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(1), pages 173-208, January.
  14. Angelini, Giovanni & Sorge, Marco M., 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
  15. George-Marios Angeletos & Zhen Huo & Karthik A. Sastry, 2021. "Imperfect Macroeconomic Expectations: Evidence and Theory," NBER Macroeconomics Annual, University of Chicago Press, vol. 35(1), pages 1-86.
  16. Zhao Han & Xiaohan Ma & Ruoyun Mao, 2023. "The Role of Dispersed Information in Inflation and Inflation Expectations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 48, pages 72-106, April.
  17. Yuriy Bilan & Maryna Brychko & Anna Buriak & Tetyana Vasilyeva, 2019. "Financial, business and trust cycles: the issues of synchronization," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(1), pages 113-138.
  18. Nabavi Larimi , Seyed Mohsen & Ehsani , Mohammad Ali & Tavakolian , Hossein, 2018. "Effect of Sentiments on Macroeconomic Variables in Iran: A Dynamic Stochastic General Equilibrium Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(1), pages 1-30, January.
  19. Han, Zhao & Tan, Fei & Wu, Jieran, 2022. "Analytic policy function iteration," Journal of Economic Theory, Elsevier, vol. 200(C).
  20. Meyer-Gohde, Alexander & Tzaawa-Krenzler, Mary, 2023. "Sticky information and the Taylor principle," IMFS Working Paper Series 189, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
  21. Rondina, Giacomo & Walker, Todd B., 2021. "Confounding dynamics," Journal of Economic Theory, Elsevier, vol. 196(C).
  22. Thomas Lubik & Christian Matthes & Elmar Mertens, 2023. "Indeterminacy and Imperfect Information," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 37-57, July.
  23. Patella, Valeria & Tancioni, Massimiliano, 2021. "Confidence Swings and Sovereign Risk Dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 195-206.
  24. Marie‐Helene Gagnon & Celine Gimet, 2020. "Unconventional economic policies and sentiment: An international assessment," The World Economy, Wiley Blackwell, vol. 43(6), pages 1544-1591, June.
  25. Lang, Jan Hannes & Rusnák, Marek & Greiwe, Moritz, 2023. "Medium-term growth-at-risk in the euro area," Working Paper Series 2808, European Central Bank.
  26. Jenny Chan, 2020. "Monetary Policy and Sentiment-Driven Fluctuations," Discussion Papers 2020, Centre for Macroeconomics (CFM).
  27. Wu, Jieran, 2022. "Comments on “Sentiments and real business cycles”," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
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