This master thesis tests and evaluates different asset pricing models for the
Norwegian stock market. The models are made to explain the cross-section of
expected stock returns, and we apply them to real-world data and compare their
This paper applies four models to the Norwegian stock market; CAPM, Fama and
French Three-Factor Model (FF3), Fama and French Five-Factor Model (FF5),
and the Carhart Four-Factor Model (C4). We evaluate their performance using the
Fama and MacBeth (1973) procedure with both time-series and cross-sectional
regressions and compare the models based on intercept analysis, explanatory
power, and stability in results. The purpose of the comparison is to find a superior
model that should be applied when analysing the Norwegian stock market.
The Fama-French three-factor model is the most preferred amongst our models.
We find no evidence that adding more factors, either the Momentum or the RMW
and CMA factor, explain the cross-section of expected returns better than the
three-factor model. Further, all models yield a significant intercept which entails
that the models are missing priced risk factors for the Norwegian stock market.
Other models with different risk factors should, therefore, be considered when
conduction analysis in the Norwegian market. However, we find that the Fama-
French three-factor model is a relatively stable and applicable model.||nb_NO