Expected Returns and Markov-Switching Illiquidity

2006 Institute for Quantitative Research in Finance Meetings (Q-Group)

26 Pages Posted: 23 Aug 2006

See all articles by Tyler R. Henry

Tyler R. Henry

Miami University

John T. Scruggs

Allianz Global Investors

Date Written: August 19, 2006


This paper employs an intuitively appealing Markov-switching regime model to investigate the time-series nature of stock market illiquidity, and the intertemporal relation between illiquidity risk and expected stock returns. We introduce a two-state Markov-switching regime model for illiquidity, stock returns and stock volatility. We find evidence of a significant illiquidity risk premium; the expected stock return is positively related to the conditional probability of the illiquid regime. By combining the Markov-switching model with a log-linear model for stock returns, we derive a tractable expression for the illiquidity feedback effect. The illiquidity feedback effect is critical to understanding the relation between realized stock returns, expected returns and Markov-switching illiquidity. We develop a flexible Bayesian Markov chain Monte Carlo (MCMC) approach for estimating the model.

Suggested Citation

Henry, Tyler R. and Scruggs, John T., Expected Returns and Markov-Switching Illiquidity (August 19, 2006). Available at SSRN: https://ssrn.com/abstract=925548 or http://dx.doi.org/10.2139/ssrn.925548

Tyler R. Henry

Miami University ( email )

Oxford, OH 45056
United States

John T. Scruggs (Contact Author)

Allianz Global Investors ( email )

555 Mission Street
Suite 1700
San Francisco, CA 94105
United States

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