Prior research suggests that SEC enforcement actions deter opportunistic trading among non-targeted insiders employed by the same firm as the targeted insider. We find that SEC enforcement actions do not uniformly deter opportunistic trading but displace it within the industry. Specifically, we...

“Measurement error biases against [finding results]” is an often-repeated phrase used to dismiss validity threats arising from measurement error. As a general rule, this phrase is false. We provide examples of commonly encountered circumstances where the variable of interest is...

We use machine learning methods to create a comprehensive measure of credit risk based on qualitative information disclosed in conference calls and in management's discussion and analysis section of the 10- K. In out-of-sample tests, we find that our measure improves our ability to predict...

We examine whether lenders use analyst forecasts of the borrowing firm's earnings when establishing covenant thresholds in private debt contracts. We find greater proximity between the analysts' consensus earnings forecast and the future earnings performance required by the contract among...

Non-GAAP earnings provide managers the flexibility to exclude GAAP items to either produce a more informative performance measure or provide them the ability to opportunistically exclude recurring expenses from non-GAAP earnings. Prior literature examines the use of this form of disclosure at...

The media commonly gauges a firm's performance by comparing its performance to others within the same industry. We provide evidence that investors and analysts positively value improvements to the firm's relative performance ranking (RPR) within its industry. Consistently, RPR is positively...

We examine whether support vector regressions (SVR), supervised LDA (sLDA), random forest regression trees (RF), and ‘tone' extract narrative content from conference calls that correlates with useful information that a human reader would identify. We find that each narrative-content measure...

We examine a possible mechanism by which the lender can evaluate the borrower's ability to produce accurate forward-looking information. Forward-looking information is important to lenders to project the borrower's future performance and the loan's expected payoff. However, unlike historical...

This study develops an ex-ante measure of the likelihood of future corporate income tax settlements using qualitative (i.e., language) and quantitative information (i.e., firm fundamentals) from the Form 10-K. We find that both qualitative and quantitative information are incrementally useful in...

This paper examines whether organizational complexity affects management's communication with external market participants. We specifically examine three aspects of organizational complexity – business, geographical, and cost structure complexity. We find evidence consistent with geographical...