By exploiting state-level variations in mortgage broker licensing regulations, we examine how licensing requirements affect mortgage loan performances and the mortgage origination market. Using data on private label securitized loans, we find that loans in states with a toughened broker licensing had a smaller increase in default rates. This effect is larger in the years leading up to the financial crisis, for borrowers with lower credit scores, cash-out-refinance loans, high-minority neighborhoods, and loans originated by nonbanks. The improved performance with toughened broker licensing is only partially reflected in loan pricing. Stronger broker licensing requirements have slightly positive effects on the mortgage approval rates, and are associated with overall less risky borrowers and loan characteristics in applications and in originations.

This paper explores the substitution relationship between trade credit and bank credit, and its counter-cyclic dynamic pattern through economic cycles. We propose a new theoretical model, using a mechanism design method, which predicts the substitution between the two credits and its counter-cyclic behavior, subject to the condition of technological efficiency not less than one. This model also helps explain the somewhat contradictory evidence in the literature, on the relationship between the two credits. We present empirical evidence on the substitution effect and its counter-cyclic behavior, by using a balanced panel data set of 284 listed Chinese companies for the period 1998–2006. We further find that the substitution behaves counter-cyclically with respect to the coincident macroeconomic indicator, namely, GDP. Our empirical analysis also has some new features such as treating endogeneity carefully and incorporating the lag-effect of trade credit coherently.

We examine the governance transfer effect of corporate blockholders in a sample of 892 block acquisitions across 42 countries from 1990 to 2008. Using earnings management as a proxy for corporate governance outcome, we find that target firms' earnings management is aligned with that of block acquirers after acquisitions, implying that blockholders transfer their own governance quality to investee firms. We further identify three economic mechanisms that underlie the governance transfer effect, namely, monitoring effectiveness, monitoring cost, and monitoring environment. Our findings provide new insights into the governance role of blockholders.

Abstract Using a proprietary data set covering all foreign investors’ daily trades in the Chinese stock market from 2016 to 2019, we find that foreign order flows, facilitated by regulatory liberalization through several channels, present strong predictive power for future stock returns, implying that these order flows are likely informed. We track the source of this informativeness and find that foreign order flows significantly predict firm-level news and news-day returns, suggesting that foreign investors can effectively process local firm information. Finally, we find that regulatory reforms that generally relax investment access requirements further improve foreign investors’ predictive power.

Abstract Using comprehensive account-level data, we separate Chinese retail investors into 5 groups and document strong heterogeneity in trading dynamics and performances. Retail investors with smaller account sizes cannot predict future returns correctly, display daily momentum patterns, fail to process public news, and show overconfidence and gambling preferences, while retail investors with larger account balances predict future returns correctly, display contrarian patterns, and incorporate public news in trading. Using performance measures established in previous literature, we find that smaller retail investors suffer from poor stock selection abilities and trading costs, while large retail investors’ stock selection abilities are offset by trading costs.

Abstract This article proposes an innovative method to assess borrowers’ creditworthiness in consumer credit markets by conducting machine-learning-based analyses on real-time video information that records borrowers’ behavior during the loan application process. We find that the extent of borrowers’ micro-facial expressions of happiness is negatively associated with loan delinquency likelihood, while the degree of fear expressions is positively associated with delinquency risk. These results are consistent with two economic channels relating to the adequacy and uncertainty of borrowers’ future income, drawn from the extant psychology and economics literature. Our study provides important practical implications for fintech lenders and policymakers.