Which Factors in BRICS?
Tässä Pro gradu tutkielmassa käytetään erilaisia faktoreita ja anomaaleja, joilla tutkitaan faktorimalleja ja riskipreemioita. Tutkimuksen tarkoituksena on selventää, että onko BRICS maissa dominoivaa faktorimallia. Tutkimuksessa käytetään lineaarista regressio mallia, jolla voidaan todentaa, pystyykö tietty faktorimalli dominoimaan toisen fak-torimallin faktoreita ja kuinka tulokset poikkeavat Yhdysvalloista. Tulosten mukaan BRICS maissa ei ole yhtä dominoivaa faktorimallia, vaan faktorimallien dominointi on maakohtainen. Tämän Pro gradun tuloksista selviää, että tiettyjen faktoreiden hinnoittelutiedot kohdistuen preemioihin ja väärinhinnoitteluun eroavat merkittävästi BRICS maiden ja Yhdysvaltojen välillä. Using several factors and anomaly variables, I examine the risk premiums and factor models for dominance in the BRICS countries from 2004 to 2020. In this study, I use factor spanning tests in the form of a linear regression to identify if there is a dominant factor model for the BRICS countries and if it deviates from the US. The linear regression is used to identify if the independent variables of a factor model can explain the dependent variable of another model’s factor(s). The results reveal that there is no single factor model that can dominate in the BRICS countries, but rather model dominance is unique for each country. The explanatory power of the factors is found to deviate from the US. The results suggest that certain pricing information related to risk premiums and mispricing are covered within the common Fama and French factors in the BRICS countries, but not in the US. This means that in the BRICS countries the more common factors related to risk contain more pricing information about anomalies such as mispricing.
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