Abstract
The Dempster-Shafer theory is used to develop a stock selection method. Monte Carlo algorithms are employed to approximate Dempster’s combination rule to overcome the high computational complexity of the method. Numerical results are obtained to compare the proposed method with another Dempster-Shafer based stock selection method and the S&P 500 benchmark.
