We propose a model of strategic renegotiation in which businesses are sequentially interconnected through their liabilities. This financing structure, which we refer to as a credit chain, gives rise to externalities, as each lender’s willingness to provide concessions to its borrower depends on how this lender’s own liabilities are expected to be renegotiated. We highlight how government interventions aimed at preventing default waves should account for private renegotiation incentives and interlinkages. In particular, we contrast the consequences of targeted subsidy and debt reduction programs following economic shocks, such as pandemics and financial crises.

Using satellite imagery of retail firms’ parking lots to measure time-varying local firm-specific performance, we document that analysts incorporate local information into their forecasts. Analysts rely more on local signals when less firm-wide information is available. This incorporation of noisy local firm information has firm-level implications. Examining across industries, we find causal evidence that geographic concentration of analysts increases consensus forecast errors and decreases firm liquidity. These effects are stronger for harder-to-value stocks. The market values geographic firm information, as the abnormal return around forecast revisions is higher for analysts who cover a firm from a unique location.

This paper develops a theory that generates an equilibrium relationship between product complexity, transparency, and trust in firms. Complexity, transparency, and the evolution of trust are all endogenous, and equilibrium transparency is nonmonotonic. The least-trusted firms choose the lowest product complexity, remain opaque, and substitute ex ante third-party verification for information disclosure and trust. Firms with an intermediate level of trust choose an intermediate level of complexity and transparency through disclosure, with more trusted firms choosing greater complexity and lower transparency. The most-trusted firms choose maximum complexity while remaining opaque, eschewing both verification and disclosure.

This paper documents that U.S. equity returns are large and positive during the opening hours of European markets. These returns are pervasive and highly economically and statistically significant. Consistent with models of inventory risk, we demonstrate a strong relationship with order imbalances at the close of the preceding U.S. trading day. Rationalizing unconditionally positive “overnight drift” returns, we uncover an asymmetric reaction to demand shocks: market sell-offs generate robust positive overnight reversals, while reversals following market rallies are much more modest. We argue that demand shock asymmetry can arise in inventory management models with time-varying market maker risk-bearing capacity.

Municipal bond markets began pricing sea-level rise (SLR) exposure risk in 2013, coinciding with upward revisions to worst-case SLR projections and accompanying uncertainty around these projections. The effect is larger for long-maturity bonds and not solely driven by near-term flood risk. We use a structural model of credit risk to quantify the implied economic impact and distinguish between the effects of underlying asset values and of uncertainty. The SLR exposure premium exhibits a trend different from house prices and is unaffected by house price controls. Together, our results highlight the importance of climate uncertainty in driving municipal bond prices.