A Bayesian Re-Interpretation of "significant" empirical financial research

Kellner, Ralf and Roesch, Daniel (2021) A Bayesian Re-Interpretation of "significant" empirical financial research. FINANCE RESEARCH LETTERS, 38: 101402. ISSN 1544-6123, 1544-6131

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Abstract

Currently, the use of t statistics and p-values is under scrutiny in various scientific fields for several reasons: p-hacking, data dredging, misinterpretation or selective reporting, among others. To the best of our knowledge, this discussion has hardly reached the empirical finance community. The aim of this paper is to show how typical testing frameworks of empirical findings in finance can be fruitfully enriched by supplemental use of further statistical tools. We revisit popular studies regarding the validity of the CAPM and determine Bayesian measures for hypothesis testing, e.g., we find popular asset pricing studies might have been evaluated differently.

Item Type: Article
Uncontrolled Keywords: p-value; t-statistic; empirical finance; CAPM; Bayesian statistics
Subjects: 300 Social sciences > 330 Economics
Divisions: Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Statistik und Risikomanagement (Prof. Dr. Rösch)
Depositing User: Dr. Gernot Deinzer
Date Deposited: 01 Sep 2022 09:23
Last Modified: 01 Sep 2022 09:23
URI: https://pred.uni-regensburg.de/id/eprint/47193

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