We document a significant relationship between subprime auto credit and road safety, with a one-standard-deviation increase in originations of such loans in a county being associated with a 5 percent increase in fatal crashes. The results are robust at various geographical levels and hold for...

This paper analyzes lenders' pricing strategies in the business-to-customer (B2C) unsecured loan market by using a proprietary dataset of approximately 3 million unsecured consumer loans from a B2C online retailer in China. We find that lenders' decisions to invite customers are based on...

We are the first to provide closed-form analytic solutions for the joint problem of mortgage refinancing and default. Our solution takes into account reduction in mortgage interest rates and the "cash-out" motive for refinancing. The model predicts how long the households are likely to wait...

Individuals and firms pledge collateral to mitigate agency costs or contracting frictions in a world with asymmetric information. However, the option value theory suggests that once the mark-to-market asset valuation is below the current debt, the firms and individuals should default on their...

Using a unique dataset on gaming and credit cards, we discover that default rates are higher among individuals who spend more, more frequently, and more erratically on video games, and among those who have more and more diverse games on their mobile devices. These results are less pronounced...

We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...

We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...

We propose a new methodology for the smart design of the default investment fund(s) in occupational defined contribution pension schemes based on the observable characteristics of scheme members. Using a unique dataset of member risk attitudes and characteristics from a survey of a large UK...

Although psychometric features have been considered for alternative credit scoring, they have not yet been applied to peer-to-peer (P2P) lending because such information is not available on platforms. This study proposed an alternative credit scoring model for P2P lending by extracting typical...

The purpose of this paper was to investigate the determinants of risk-taking in the context of Islamic and conventional microfinance institutions (MFIs) while considering the capital structure’s role in moderating the risk-taking decisions’ effect on financial performance. Fixed and Random...