A Duration Hidden Markov Model for the Identification of Regimes in Stock Market Returns
AbstractThis paper introduces a Duration Hidden Markov Model to model bull and bear market regime switches in the stock market; the duration of each state of the Markov Chain is a random variable that depends on a set of exogenous variables. The model not only allows the endogenous determination of the different regimes and but also estimates the effect of the explanatory variables on the regimes' durations. The model is estimated here on NYSE returns using the short-term interest rate and the interest rate spread as exogenous variables. The bull market regime is assigned to the identified state with the higher mean and lower variance; bull market duration is found to be negatively dependent on short-term interest rates and positively on the interest rate spread, while bear market duration depends positively the short-term interest rate and negatively on the interest rate spread.
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Bibliographic InfoPaper provided by School of Economics and Management, University of Aarhus in its series CREATES Research Papers with number 2010-51.
Date of creation: 25 Aug 2010
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Web page: http://www.econ.au.dk/afn/
Hidden Markov Model; Variable-dependent regime duration; Regime Switching; Interest rate effect;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- G1 - Financial Economics - - General Financial Markets
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-09-11 (All new papers)
- NEP-ETS-2010-09-11 (Econometric Time Series)
- NEP-FMK-2010-09-11 (Financial Markets)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Michael Dueker, 1995.
"Markov switching in GARCH processes and mean reverting stock market volatility,"
1994-015, Federal Reserve Bank of St. Louis.
- Dueker, Michael J, 1997. "Markov Switching in GARCH Processes and Mean-Reverting Stock-Market Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 26-34, January.
- John M. Maheu & Thomas H. McCurdy & Yong Song, 2012.
"Components of Bull and Bear Markets: Bull Corrections and Bear Rallies,"
Journal of Business & Economic Statistics,
Taylor & Francis Journals, vol. 30(3), pages 391-403, February.
- John M Maheu & Thomas H McCurdy & Yong Song, 2010. "Components of bull and bear markets: bull corrections and bear rallies," Working Papers tecipa-402, University of Toronto, Department of Economics.
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