A Markov Switching Approach to Herding
JOURNAL ARTICLE
Cite JOURNAL ARTICLE
Style
Format
A Markov Switching Approach to Herding
Bohl, Martin T. | Klein, Arne C. | Siklos, Pierre L.
Credit and Capital Markets – Kredit und Kapital, Vol. 49 (2016), Iss. 2 : pp. 193–220
Additional Information
Article Details
Author Details
Martin T. Bohl, Department of Economics, Westfälische Wilhelms-University Münster, Am Stadtgraben 9, 48143 Münster, Germany, phone: +49 251 83 25005, fax: +49 251 83 22846
Arne C. Klein, Department of Economics, Westfälische Wilhelms-University Münster, Am Stadtgraben 9, 48143 Münster, Germany
Pierre L. Siklos, Lazaridis School of Business & Economics, Wilfrid Laurier University, 75 University Avenue West, Waterloo, ON, N2L 3C5, Canada
Abstract
Existing models of herding suffer from the drawback that conventional measures assume it is constant over time and independent of the state of the economy. This paper proposes a Markov switching herding model which supports the view that herding is not constant. By means of time-varying transition probabilities, the model is able to link changes in herding behavior with proxies for sentiment, the VIX, and the term structure. For the US stock market our estimates reveals that during periods of high volatility, investors disproportionately rely on fundamentals rather than on market consensus. Existing theory supports such a conclusion. Some policy implications are also drawn.
Table of Contents
| Section Title | Page | Action | Price |
|---|---|---|---|
| Martin T. Bohl / Arne C. Klein / Pierre L. Siklos: A Markov Switching Approach to Herding | 1 |