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Working Paper
Asymmetric Information, Dynamic Debt Issuance, and the Term Structure of Credit Spreads
We propose a tractable model of a firm?s dynamic debt and equity issuance policies in the presence of asymmetric information. Because ?investment-grade? firms can access debt markets, managers who observe a bad private signal can both conceal this information and shield shareholders from infusing capital into the firm by issuing new debt to service existing debt, thus avoiding default. The implication is that the ?asymmetric information channel? can generate jumps to default (from the creditors? perspective) only for those "high-yield" firms that have exhausted their ability to borrow. ...
Working Paper
Bottom-up Leading Macroeconomic Indicators: An Application to Non-Financial Corporate Defaults using Machine Learning
This paper constructs a leading macroeconomic indicator from microeconomic data using recent machine learning techniques. Using tree-based methods, we estimate probabilities of default for publicly traded non-financial firms in the United States. We then use the cross-section of out-of-sample predicted default probabilities to construct a leading indicator of non-financial corporate health. The index predicts real economic outcomes such as GDP growth and employment up to eight quarters ahead. Impulse responses validate the interpretation of the index as a measure of financial stress.