Maheu, John M and McCurdy, Thomas H and Song, Yong (2020): Bull and Bear Markets During the COVID-19 Pandemic.
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Abstract
The COVID-19 pandemic has caused severe disruption to economic and financial activity worldwide. We assess what happened to the aggregate U.S. stock market during this period, including implications for both short and long-horizon investors. Using the model of Maheu, McCurdy and Song (2012), we provide smoothed estimates and out-of-sample forecasts associated with stock market dynamics during the pandemic. We identify bull and bear market regimes including their bull correction and bear rally components, demonstrate the model's performance in capturing periods of significant regime change, and provide forecasts that improve risk management and investment decisions. The paper concludes with out-of-sample forecasts of market states one year ahead.
Item Type: | MPRA Paper |
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Original Title: | Bull and Bear Markets During the COVID-19 Pandemic |
Language: | English |
Keywords: | predictive density, long-horizon returns, Markov switching |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C11 - Bayesian Analysis: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes G - Financial Economics > G1 - General Financial Markets G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice ; Investment Decisions G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation |
Item ID: | 104504 |
Depositing User: | John Maheu |
Date Deposited: | 05 Dec 2020 13:49 |
Last Modified: | 05 Dec 2020 13:49 |
References: | Chib, S. (1996), ‘Calculating posterior distributions and modal estimates in Markov mixture models’, Journal of Econometrics 75, 79–97. Fine, S., Singer, Y. & Tishby, N. (1998), ‘The hierarchical hidden Markov model: Analysis and applications’, Machine learning 32(1), 41–62. Kass, R. E. & Raftery, A. E. (1995), ‘Bayes factors’, Journal of the American Statistical Association 90(420), 773–795. Lunde, A. & Timmermann, A. G. (2004), ‘Duration dependence in stock prices: An analysis of bull and bear markets’, Journal of Business & Economic Statistics 22(3), 253–273. Maheu, J. M., McCurdy, T. H. & Song, Y. (2012), ‘Components of bull and bear markets: Bull corrections and bear rallies’, Journal of Business & Economic Statistics 30(3), 391–403. Pagan, A. R. & Sossounov, K. A. (2003), ‘A simple framework for analysing bull and bear markets’, Journal of Applied Econometrics 18(1), 23–46. Schwert, G. W. (1990), ‘Indexes of u.s. stock prices from 1802 to 1987’, Journal of Business 63(3), 399–426. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/104504 |