On Data-Driven Log-Optimal Portfolio: A Sliding Window Approach

In this paper, we propose a data-driven sliding window approach to solve log-optimal portfolio problem. contrast many of the existing papers, leads trading strategy with time-varying weights rather than fixed constant weights. We show, by conducting various empirical studies, that possesses superior performance classical in sense having higher cumulative rate returns.