Testing Alpha in High Dimensional Linear Factor Pricing Models with Dependent Observations

Autor: Ma, Huifang, Feng, Long, Wang, Zhaojun, Bao, Jigang
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: In this study, we introduce three distinct testing methods for testing alpha in high dimensional linear factor pricing model that deals with dependent data. The first method is a sum-type test procedure, which exhibits high performance when dealing with dense alternatives. The second method is a max-type test procedure, which is particularly effective for sparse alternatives. For a broader range of alternatives, we suggest a Cauchy combination test procedure. This is predicated on the asymptotic independence of the sum-type and max-type test statistics. Both simulation studies and practical data application demonstrate the effectiveness of our proposed methods when handling dependent observations.
Databáze: arXiv