Hand-collecting credit line drawdowns that firms classify as long-term debt, we first document how long-term drawdowns rise with high investment needs or weak external capital market conditions. Nearly all drawdown proceeds finance long-term investment, including M&A activity. Unrated and lower-rated firms rely more on long-term drawdowns than high or very poorly rated firms. We further find that credit lines have tighter covenants than terms loans. Drawdowns are repaid fairly quickly and often refinanced with other long-term debt. Our findings support the monitored liquidity insurance theory of credit lines and highlight that long-term drawdowns act as a valuable bridge financing mechanism.

We examine how time-varying macroeconomic conditions affect firms’ financing decisions. A principal components decomposition of several macroeconomic variables characterizes three phases of the business cycle relative to recessions: early recovery, robust recovery, and economic crest; a fourth represents “windows of opportunity” in capital markets that are unrelated to recessions. This characterization yields results that traditional approaches miss. Specifically, debt issuance exhibits a non-monotonic pattern during the upward phase of the business cycle: it declines in robust recovery relative to recessions but peaks at the economic crest. Financially constrained firms issue more equity during windows of high stock market valuation, whereas unconstrained firms time debt issuance in response to debt market spreads.

We study how firms allocate cash flow by estimating the cash-flow sensitivities of various uses of cash flow. We decompose cash flow into a transitory and a permanent component and focus on the allocation of the transitory component, which by construction contains little information about future growth opportunities. We find that more financially constrained firms allocate more transitory cash flow to cash savings and direct less toward investment than do less constrained firms, consistent with constrained firms accumulating liquidity to buffer against future financial constraints. We also illustrate several methodological advantages of our approach over alternative methods in previous studies.

We extend Jin and Myers’s (2006) model to derive the relation between stock price crash risk and operating leverage (i.e., the fraction of fixed costs in total costs). The model predicts that (1) firms’ operating leverage decreases as stock price crash risk increases and (2) the negative effect of crash risk on operating leverage is more pronounced when firms are closer to the crash threshold or when managers face higher costs of stock price crashes. We empirically test the model predictions using a large sample of manufacturing firms in the US and find consistent results. Further analysis shows that higher levels of crash risk lead to a less sticky cost behavior. In addition, crash risk–driven operating deleveraging effectively reduces stock return volatility and enhances operating performance in subsequent years. Collectively, our findings reveal that crash-prone firms adopt a more flexible cost structure to delay stock price crashes and mitigate adverse outcomes.

We examine the information role of financial advisors by focusing on mergers and acquisitions in which acquiring firms hire target firms’ ex-advisors. We document that by employing targets’ ex-advisors, acquirers pay lower takeover premiums and secure a larger proportion of merger synergies. The corresponding targets exhibit lower announcement returns and are less likely to be propositioned by competing bidders. These results indicate that acquirers take advantage of value-relevant information about targets through targets’ ex-advisors, and achieve bargaining advantages in deal negotiations. In contrast, we document no discernible value effects when targets hire acquirers’ ex-advisors, suggesting that the information role of acquirers’ ex-advisors hired by targets is weaker than that of targets’ ex-advisors hired by acquirers.

We show that credit default swap (CDS) trading on a firm's debt positively influences its technological innovation output measured by patents and patent citations. This positive effect is more pronounced in firms relying more on debt financing or being more subject to continuous monitoring by lenders prior to CDS trade initiation. Moreover, after CDS trade initiation, firms pursue more risky and original innovations and generate patents with higher economic value. Further analysis suggests that CDSs improve borrowing firms’ innovation output by enhancing lenders’ risk tolerance and borrowers’ risk- taking in the innovation process, rather than by increasing Research and Development (R&D) investment. Taken together, our findings reveal the real effects of CDSs on companies’ investments and technological progress.

We document that firms in more politically corrupt regions of China adopt more conservative accounting. The relation between local political corruption and accounting conservatism weakens after China’s anticorruption campaign launched in 2012 and in firms with a lower risk of expropriation by corrupt officials, stronger incentives to report earnings aggressively, or greater gains from corruption. Further analysis shows that accounting conservatism and alternative corporate strategies complement each other in shielding firms against corrupt officials’ expropriation of corporate resources. Our study provides novel evidence about an accounting approach used by firms in response to perceived political costs.