Prior studies challenge the practical usefulness of Markowitz portfolio optimization in improving the return-risk tradeoff in portfolio management. We approach this question from a unique angle by examining whether one can improve the performance of a large sample of actual mutual fund...

Artificial intelligence (AI), powered by machine learning algorithms, is capable of extracting information efficiently from big data and, therefore, has great potential for improving financial decision-making. In this chapter, we summarize several important applications of AI in this context....

We document an improvement in analysts’ forecast accuracy following increased sector ETF ownership. We identify a possible channel for this result, i.e., because ETFs are more informative with respect to industry-level information, analysts learn directly and efficiently from ETFs about this...

We investigate analysts' motives for rounding annual EPS forecasts (placing a zero or five in the penny location of the forecast). We first show that an intuitive reason for analysts to engage in rounding is in circumstances where the penny location of the forecast is of less economic...

In this paper we study the effect of Section 404 of the Sarbanes-Oxley Act on earnings quality. Using a difference-in-differences method we find that firms that were required to comply with Section 404 during the first two years of its implementation improved the quality of their financial...