In 2017, U.S. President Donald Trump announced his intention to withdraw the United States from the Paris Agreement. Although there were concerns that the exit would impede the global effort to reduce greenhouse gas emissions, the environmental performance of U.S. firms in carbon‐intensive sectors improved after the announcement at a significantly higher pace than firms in other sectors. Moreover, our findings are concentrated among firms exposed to higher public attention. One implication is that firms under greater public scrutiny used the United States' departure from the agreement as an opportunity to credibly signal their commitment to combating global climate change.

Using survey data of U.S. households, we examine the demographic factors associated with stock market participation to seek to explain why some households invest in stocks while others do not. We primarily utilize Probit model estimation robust to heteroskedasticity to evaluate multiple demographic variables that could potentially explain direct stock ownership. Additional tests examine the demographic factors associated with the amounts of direct stock ownership and indirect stock ownership through mutual funds, retirement accounts or other avenues. Our results identify various demographic factors that most likely affect U.S. households' investment in stocks, including age, gender, education level, income, homeownership and business ownership. These results are robust to multiple model variations. These findings may be of interest to financial scholars and policymakers as they seek to better understand stock market participation.

Recent increases in stock repurchases among U.S. corporations coupled with a historically low cost of debt since the Global Financial Crisis has created media speculation that firms in recent years are paying for their expanding share buyback programs with debt. This study examines this phenomenon and the likelihood of debt-financed repurchases during different interest rate environments and finds that debt-financed repurchases have increased substantially in recent years, especially in the presence of relatively low interest rates. Firms that make these repurchases tend to be bigger, more levered and make larger repurchases -a phenomenon that is especially pronounced in the years following the Global Financial Crisis. This study suggests that managers may time debt markets in order to repurchase stock when the prevailing cost of debt is relatively low.

Purpose The purpose of this paper is to investigate if the volatility of stock prices in the days surrounding the Chapter 11 bankruptcy process predicts a firm’s likelihood to successfully restructure and emerge from bankruptcy. Design/methodology/approach The authors use a sample of Chapter 11 cases between 1980 and 2016 that have available stock price data surrounding the bankruptcy filing dates. Following Goyal and Wang (2013), the KMV–Merton model is utilized to estimate the probability that a firm successfully emerges from its restructuring process. In order to interpret the market’s assessment about a firm, the authors use the analogy of a European call option to derive the assessment of the firm’s prospects as the probability that it will emerge from bankruptcy. This estimated probability of emergence is compared to actual outcomes of bankruptcy cases and tested for significance using various regression techniques. Findings This study exploits the information found in stock prices surrounding the bankruptcy process and finds that volatility after, but not before, filing for bankruptcy significantly predicts a firm’s likelihood to emerge. In addition, the market-based probability of emergence has better predictive power on the recovery rates of unsecured creditors than measures based on financial statements. Originality/value Predictors of bankruptcy have been extensively studied by scholars over the decades, with early studies focusing on accounting-based measures and recent studies incorporating market-driven variables. However, in recent years, studies have begun to assess bankrupt firms’ ability to reorganize and successfully emerge from bankruptcy. This study contributes to the recent literature investigating market-based predictors of successful emergence.

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