Using account level credit-card data from six major commercial banks from January 2009 to December 2013, we apply machine-learning techniques to combined consumer-tradeline, credit-bureau, and macroeconomic variables to predict delinquency. In addition to providing accurate measures of loss...

Using account level credit-card data from six major commercial banks from January 2009 to December 2013, we apply machine-learning techniques to combined consumer-tradeline, credit-bureau, and macroeconomic variables to predict delinquency. In addition to providing accurate measures of loss...

AI/ML models are used for many financial applications ranging from portfolio selection to efficient credit allocation. However, the drawback to applying these models in practice is that performance (i.e., predictive power) is generally inversely related to model complexity. In this chapter, we...

Over the last three decades, China's product, labor, and capital markets have become gradually more integrated within its borders, although integration has been significantly slower for capital markets. There remains a significant urban-rural divide, and Chinese cities tend to be under-sized by...

I empirically test the impact of financial flexibility on capital structure decisions on a large sample of publically traded U.S. firms from 1971 to 2006. I find that accounting for the marginal value of financial flexibility in capital structure models sheds light on several important capital...

The equity of too-big-to-fail banks could be deemed less risky due to implicit government guarantees. However, such guarantees could also amplify a moral hazard problem that induces large banks to take excessive risk. If such risk is mispriced by the market due to the increased complexity of...

We propose a simple approach to bridge between portfolio theory and machine learning. The outcome is an out-of-sample machine learning efficient frontier based on two assets, high risk and low risk. By rotating between the two assets, we show that the proposed frontier dominates the...

Regulations leading up to the financial crisis of 2007-2009 provided incentives for banks shift their risk profiles toward less regulated areas. We focus on the case of operational risk which went from being a relatively benign and largely unregulated risk type to a major risk that now accounts...