Optimizing Portfolios with Higher Moments: Insights from the Nordic Market
The traditional assumption of normally distributed returns in portfolio optimization often fails to capture real-world complexities. This thesis investigates how higher moments – skewness and kurtosis – enhance portfolio optimization by addressing these complexities. Using polynomial goal programming and Bayesian shrinkage estimators, the study constructs and evaluates portfolios optimized for hig