With thousands of co-existing and competing platforms, the Chinese peer-to-peer (P2P) lending market experienced both high growth and high failure rate. We hand collect unique data for these P2P platforms and investigate the differences in performance and survival for platforms with and without...

Recent studies have proposed a large set of powerful characteristics-based factors in the stock market. This study examines the pricing of these factors using portfolios that are formed by directly sorting stocks based on their exposure to these factors. These beta-sorted portfolios have very...

This research studies the childhood exposure effect on stock market participation. We find that individuals with rural childhoods are less likely to invest in the stock market, controlling for wealth, trust, social interaction, risk attitude, and financial literacy. Furthermore, we find evidence...

We study the existence of financing discrimination between state-owned and non-state owned enterprises from the perspective of investment-cash flow sensitivity, and the effects of privatization reform on muffling the institutionally-rooted discrimination. Hit by negative cash flow shocks, firms...

Using portfolios that are formed by directly sorting stocks based on their exposure to characteristics-based factors, earlier studies find that these beta-sorted portfolios have very large ex post factor beta spreads. However, the return spreads between high- and low-beta firms are typically...

The existence of peer effect on financial decision is well documented in the literature. However, little is known about the peer effect on default choice of consumer credit. We fill this gap by using a novel data and research design constructed from a cash loan platform in China. We find the...

We probe the effects of the COVID-19 lockdown on business activities in China by exploiting big data on 1.5 billion sales invoices. Using a difference-in-differences approach, we estimate that the average drop in sales is between 23% and 35%, depending on firm size, for the 12-week period after...

This paper exploits a detailed new dataset with comprehensive financial and consumption information to investigate the relationship between a cash-loan borrower's access to credit and their respective consumption response. In particular, we test whether consumption among borrowers with a high...

We examine how entrepreneurs’ attention to detail affects their fundraising performance in crowdfunding campaigns as well as other important project outcomes that occur after fundraising campaigns. To test our theoretical model, we conduct two studies: an archival field study with 312,520...

This paper examines the impact of large-scale alternative data on predicting consumer delinquency. Using a proprietary double-blinded test from a traditional lender, we find that the big data credit score predicts an individual’s likelihood of defaulting on a loan with 18.4% greater accuracy...