Before revision:  We applied the proposed algorithm to the stock return prediction problem studied in Gu et al.(2019) and achieved mean rank correlation of 4.69\%, almost twice as high as the expanding window approach .
After revision:  We applied the proposed algorithm to current approaches on predicting monthly U.S. stock returns and show its superiority .