[We provide a model-free test for asymmetric correlations in which stocks move more often with the market when the market goes down than when it goes up, and also provide such tests for asymmetric betas and covariances. When stocks are sorted by size, book-to-market, and momentum, we find strong evidence of asymmetries for both size and momentum portfolios, but no evidence for book-to-market portfolios. Moreover, we evaluate the economic significance of incorporating asymmetries into investment decisions, and find that they can be of substantial economic importance for an investor with a disappointment aversion (DA) preference as described by Ang, Bekaert, and Liu (2005).]

We provide a model-free test for asymmetric correlations in which stocks move more often with the market when the market goes down than when it goes up, and also provide such tests for asymmetric betas and covariances. When stocks are sorted by size, book-to-market, and momentum, we find strong evidence of asymmetries for both size and momentum portfolios, but no evidence for book-to-market portfolios. Moreover, we evaluate the economic significance of incorporating asymmetries into investment decisions, and find that they can be of substantial economic importance for an investor with a disappointment aversion (DA) preference as described by Ang, Bekaert, and Liu (2005).

We examine the effects of bank’s political connection on bank performance and risk in China. We use hand-collected information on CEOs’ professional background to identify their political affiliations, and find that banks whose CEOs have former government experiences have higher return on assets, lower default risk, and lower credit risk. Additionally, politically connected banks have disproportionally higher performance when the CEOs previous worked in the same city where the current bank’s headquarter locates, had past banking experiences, spend more on entertainment and travel costs, and have higher previous administrative rankings (e.g., at the provincial or state level). These results suggest that politically connected banks have better access to lending to politically connected firms, which are high yield assets and more likely to be bailed out when in distress. Our results offer a mechanism of political rent seeking, consistent with the institutional environment of China’s banking and political system.

We examine the impact of competition on bank earnings persistence by exploiting a natural experiment following interstate banking deregulation that increased bank competition. We find that bank earnings adjustment speed increases after their states implement the deregulation. This relationship is weakened, however, with the increase of bank's abilities to sustain earnings, as reflected in size, diversification, managerial efficiency and safety. We further find that the impact of compeititon on bank earnings adjustment speed is direct but not indirectly through the channel of earnings management.

ABSTRACT Event studies of market efficiency measure earnings surprises using the consensus error ( CE ), given as actual earnings minus the average professional forecast. If a subset of forecasts can be biased, the ideal but difficult to estimate parameter‐dependent alternative to CE is a nonlinear filter of individual errors that adjusts for bias. We show that CE is a poor parameter‐free approximation of this ideal measure. The fraction of misses on the same side ( FOM ), which discards the magnitude of misses, offers a far better approximation. FOM performs particularly well against CE in predicting the returns of U.S. stocks, where bias is potentially large.