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A new ICAPM approach to multifactor stock pricing using Bootstrap
(Oficyna Wydawnicza AFM, 2014) Urbański, Stanisław; Leśkow, Jacek
The aim of this work is the use of bootstrap methods for assessing of returns and risk of stock described by a small-to-moderate time series data. The paper presents the possibility of using bootstrap for testing the selected ICAPM application. We estimate systematic risk and risk premium components, depending on the fundamental risk factors. We compare bootstrap and classical asymptotic GLS results. The authors analyze quarterly returns of stocks listed on Warsaw Stock Exchange in 1995-2010. The full-sample observations are divided into two separate sub-periods: 1995-2004, the years preceding Poland's accession to the EU, and 2005-2010, the years of Poland's membership in the UE. The components of risk premium change in the second sub-period. Also, we test the multifactor-efficiency (ME) of the generated portfolios. GRS and asymptotic Wald tests reject ME. However, the bootstrapped Wald test does not reject ME for the tested cases. Using the tested ICAPM application to forming ME portfolios makes it possible to offer a number of useful guidelines for portfolio managers.