Forskning
My research focuses on statistical methods applied to portfolio theory in both small and large dimensions. The aim is to provide novel theoretical and practical contributions in multivariate statistics, random matrix theory and high dimensional data analysis. The developed methods can later be applied in finance, economics, machine learning and statistical learning.
In addition, my research also focuses on some other interesting topics, such as James-Stein shrinkage estimator types, distributional properties of portfolio weights under different scenarios, etc. I am also extending my research to the estimation of high-dimensional covariance matrices using statistical/machine learning techniques.