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Eberhard Karls Universität Tübingen >
Wirtschaftswissenschaftliche Fakultät, Universität Tübingen >
University of Tübingen Working Papers in Economics and Finance >
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http://hdl.handle.net/10419/54730
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| Title: | | Stock return autocorrelations revisited: A quantile regression approach  |
| Authors: | | Baur, Dirk G. Dimpfl, Thomas Jung, Robert C. |
| Issue Date: | | 2012 |
| Series/Report no.: | | University of Tübingen working papers in economics and finance 24 |
| Abstract: | | The aim of this study is to provide a comprehensive description of the dependence pattern of stock returns by studying a range of quantiles of the conditional return distribution using quantile autoregression. This enables us in particular to study the behavior of extreme quantiles associated with large positive and negative returns in contrast to the central quantile which is closely related to the conditional mean in the least-squares regression framework. Our empirical results are based on 30 years of daily, weekly and monthly returns of the stocks comprised in the Dow Jones Stoxx 600 index. We find that lower quantiles exhibit positive dependence on past returns while upper quantiles are marked by negative dependence. This pattern holds when accounting for stock specific characteristics such as market capitalization, industry, or exposure to market risk. |
| Subjects: | | stock return distribution quantile autoregression overreaction and underreaction |
| JEL: | | C22 G14 |
| Persistent Identifier of the first edition: | | urn:nbn:de:bsz:21-opus-59769 |
| Document Type: | | Working Paper |
| Appears in Collections: | | University of Tübingen Working Papers in Economics and Finance
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