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A nonparametric investigation of seasonality in US stock market cycle durations

Steven J. Cochran (Department of Finance, College of Commerce and Finance, Villanova University, 800 Lancaster Avenue, Villanova, PA 19085)
Iqbal Mansur (School of Business Administration, Widener University, One University Place, Chester, PA 19013)

Managerial Finance

ISSN: 0307-4358

Article publication date: 1 February 2003

485

Abstract

This study examines the durations of US stock market cycle expansions and contractions for the presence of seasonality. Specifically, it is determined whether the distributional characteristics (i.e., location and dispersion) of the durations of market expansions and contractions are dependent on the time of the year the market phase begins or ends. The duration data are obtained from a stock market chronology of monthly peak and trough dates for the period May 1835 through July 1998 and nonparametric rank‐based tests are used to test for the presence of seasonality. In order to provide some evidence on robustness with respect to the sample data, results are obtained for the entire sample period as well as for various sub‐periods. When the data are aggregated on a quarterly basis, the evidence suggests that seasonal structures are present in stock market cycle durations. These seasonals are related primarily to shifts in location over the course of the year and to when a market expansion or contraction begins. However, when the duration data are aggregated on a bi‐annual basis, support for seasonality is much more limited.

Keywords

Citation

Cochran, S.J. and Mansur, I. (2003), "A nonparametric investigation of seasonality in US stock market cycle durations", Managerial Finance, Vol. 29 No. 1, pp. 3-32. https://doi.org/10.1108/03074350310768229

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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