We apply multiple machine learning (ML) methods to model loss given default (LGD) for corporate debt using a common dataset that is cross-sectional but collected over different time periods and shows much variation over time. We investigate the efficacy of three cross-validation (CV) schemes for...

Using a unique and comprehensive dataset of loan-level home equity lines of credit serviced by large US national banks, we confirm that default risk of home equity lines of credit increases at end of draw. More importantly, we quantify the increase in default risk with the size of positive...

We report evidence on the profitability and statistical significance among 2,127 technical trading rules. The best rules are found to be significantly profitable based on standard tests. We then employ White's (2000) Reality Check to evaluate these rules and find that data-snooping biases do not...

We examine the relevance and effectiveness of stock return correlations among financial institutions as an indicator of systemic risk. By analyzing the trends and fluctuations of daily stock return correlations and default correlations among the 22 largest bank holding companies and investment...

Recent research in finance has indicated that the institutional structure in which financial asset prices are determined can have a nontrivial impact on pricing. This report examines transaction level data for Treasury Note futures contracts traded at the Chicago Board of Trade (CBOT) to...

We provide the first empirical analysis on the effects of credit default swaps (CDS) on corporate distress resolution with a focus on debt recovery rate. CDS contracts are settled shortly after the occurrence of credit events such as restructuring or bankruptcy filings and, presumably, should...

We examine the impact of the unobservable systematic risk factor on default prediction model performance. We find that including the unobservable systematic risk factor might help improve predictive accuracy, but it might not help improve rank ordering of firms by default risk. Rank ordering is...

This paper examines the determinants of the outcomes of the default recovery process. We find that a new variable that incorporates not only the percentage of debt more senior to the debt instrument, but also debt at the same rank, is the most important factor driving the recovery rate. It is...

As Internet advertising infomediaries nowadays provide rich competition information, sponsored search advertisers are becoming more strategic when selecting keywords. This paper empirically examines the spillover effects in advertisers' keyword market entry decisions, that is, how an...

Crowdsourcing contests are contests by which organizations tap into the wisdom of crowds by outsourcing tasks to large groups of people on the Internet. In an online environment often characterized by anonymity and lack of trust, there are inherent uncertainties for participants of such...