We propose and estimate a quantitative model of exchange rates in which participants in the foreign exchange market are intermediaries subject to value-at-risk (VaR) constraints. Higher volatility translates into tighter VaR constraints, and intermediaries require higher returns to hold foreign assets. Therefore, the foreign currency is expected to appreciate. The model quantitatively resolves the Backus–Smith puzzle, the forward premium puzzle, and the exchange rate volatility puzzle and explains deviations from the covered interest rate parity. Moreover, the model implies both contemporaneous and predictive relations between proxies of leverage constraint tightness and exchange rates. These implications are supported in the data.

This paper provides first evidence of negative peer disclosure (NPD), an emerging corporate strategy to publicize adverse news of industry peers on social media. Consistent with NPDs being implicit positive self-disclosures, disclosing firms experience a two-day abnormal return of 1.6–1.7% over the market and industry. Further exploring the benefits and costs of such disclosures, we find that NPD propensity increases with the degree of product market rivalry and technology proximity and disclosing firms outperform nondisclosing peers in the product markets in the year following NPDs. These results rationalize peer disclosure and extend the scope of the literature beyond self-disclosure.