Dependence of stock returns in bull and bear markets

Arbeitspapier

Pearson's correlation coefficient is typically used for measuring the dependence structure of stock returns. Nevertheless, it has many shortcomings often documented in the literature. We suggest to use a conditional version of Spearman's rho as an alternative dependence measure. Our approach is purely nonparametric and we avoid any kind of model misspecification. We derive hypothesis tests for the conditional Spearman's rho in bull andbearmarkets and verify the tests by Monte Carlo simulation.Further, we study the daily returns of stocks contained in the German stock index DAX 30. We find some significant differences in dependence of stock returns in bull and bear markets. On the other hand the differences are not so strong as one might expect.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Discussion Papers in Statistics and Econometrics ; No. 9/07

Classification and Topics

• Classification: Wirtschaft ; Semiparametric and Nonparametric Methods: General ; Hypothesis Testing: General
• Subject: bear market ; bootstrapping ; bull market ; conditional Spearman's rho ; copulas ; Monte Carlo simulation ; stock returns

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Dobrić, Jadran ; Frahm, Gabriel ; Schmid, Friedrich
• Event: Veröffentlichung
• (who): University of Cologne, Seminar of Economic and Social Statistics
• (where): Cologne
• (when): 2007

Further information

• Handle: http://hdl.handle.net/10419/44942
• Last update: 10.03.2025, 11:41 AM CET