Comparative accuracy analysis of the CAPM model and its multifactor extensions in explaining the stock returns

Název práce: Comparative accuracy analysis of the CAPM model and its multifactor extensions in explaining the stock returns
Autor(ka) práce: Goncharov, Anton
Typ práce: Diploma thesis
Vedoucí práce: Brůna, Karel
Oponenti práce: Dudzich, Viktar
Jazyk práce: English
Abstrakt:
Given that the U.S. economy and its financial market have faced many challenges and obstacles during the time period between 01.01.2018 and 31.12.2021, there was an opportunity for me to test asset pricing models in a recent “stressful” economic environment. Therefore, the following master thesis aims to study, assess and compare the performance of the capital asset pricing model, Fama-French three-factor model, and Carhart four-factor model by evaluating them through the use of OLS regression models and formal testing. The data was collected from Yahoo finance and an online data library created by Kenneth R. French. The methodology considers 30 individual U.S. stocks and targets two specific performance metrics, adjusted R-squared along with residual standard errors. The findings reveal that during the sampling period, the models’ average explanatory power in terms of adjusted R-squared increases when the capital asset pricing model is extended by the extra factors being HML, SMB and Momentum. However, when performing formal testing of residual standard error which is the second performance metric, I was not able to identify a significant difference or improvement in the performance of previously mentioned models.
Klíčová slova: returns; Carhart four-factor model; explanatory power; U.S. financial market; stocks; CAPM; Fama-French three-factor model; performance of OLS regression models; asset pricing models
Název práce: Comparative accuracy analysis of the CAPM model and its multifactor extensions in explaining the stock returns
Autor(ka) práce: Goncharov, Anton
Typ práce: Diplomová práce
Vedoucí práce: Brůna, Karel
Oponenti práce: Dudzich, Viktar
Jazyk práce: English
Abstrakt:
Given that the U.S. economy and its financial market have faced many challenges and obstacles during the time period between 01.01.2018 and 31.12.2021, there was an opportunity for me to test asset pricing models in a recent “stressful” economic environment. Therefore, the following master thesis aims to study, assess and compare the performance of the capital asset pricing model, Fama-French three-factor model, and Carhart four-factor model by evaluating them through the use of OLS regression models and formal testing. The data was collected from Yahoo finance and an online data library created by Kenneth R. French. The methodology considers 30 individual U.S. stocks and targets two specific performance metrics, adjusted R-squared along with residual standard errors. The findings reveal that during the sampling period, the models’ average explanatory power in terms of adjusted R-squared increases when the capital asset pricing model is extended by the extra factors being HML, SMB and Momentum. However, when performing formal testing of residual standard error which is the second performance metric, I was not able to identify a significant difference or improvement in the performance of previously mentioned models.
Klíčová slova: U.S. financial market; CAPM; Fama-French three-factor model; Carhart four-factor model; performance of OLS regression models; stocks; returns; asset pricing models; explanatory power

Informace o studiu

Studijní program / obor: Finance and Accounting
Typ studijního programu: Magisterský studijní program
Přidělovaná hodnost: Ing.
Instituce přidělující hodnost: Vysoká škola ekonomická v Praze
Fakulta: Fakulta financí a účetnictví
Katedra: Katedra měnové teorie a politiky

Informace o odevzdání a obhajobě

Datum zadání práce: 22. 11. 2021
Datum podání práce: 3. 5. 2022
Datum obhajoby: 1. 6. 2022
Identifikátor v systému InSIS: https://insis.vse.cz/zp/78834/podrobnosti

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