The relationship between trading volume and volatility in foreign exchange markets continues to be of much interest, especially given the higher than expected volatility of returns. Allowing for nonlinearities, this paper tests competing hypotheses on the possible relationship between volatility and trading volume using data for three major currency futures contracts denominated in US dollars, namely the British pound, the Canadian dollar and the Japanese yen. We find that trading volumes and return volatility are negatively correlated, implying a lack of support for the mixture of distributions hypothesis (MDH). Using linear and nonlinear Granger causality tests, we document significant lead–lag relations between trading volumes and return volatility consistent with the sequential arrival of information (SAI) hypothesis. These findings are robust and not sample-dependent or due to heterogeneity of beliefs as proxied by open interest. Furthermore, our results are insensitive to the modeling approach used to recover volatility measures. Overall, our findings support the contention that short- to medium-term currency relationships may be dominated by trading dynamics and not by fundamentals.

We posit that credit ratings are higher for firms headquartered in high social capital regions, where managers are more likely to be trustworthy. To test this hypothesis, 9460 corporate debt ratings of US firms from 2001– 2015 was examined. We find that firms headquartered in a county with high social capital in the US have a higher credit rating. This effect is incremental and economically comparable to that of corporate social responsibility. Additional tests suggest that the impact of social capital on ratings is likely because analysts find them more credible. We conclude that credit analysts may consider the social norm around the firm's headquarters when rating firms.