We utilize a fundamentals-based component volatility model to forecast the short-run volatility of exchange rate changes using monetary fundamentals quoted at different frequencies. Specifically, we allow the component volatility model to distinguish short-run exchange rate fluctuations from long-run movements that are directly linked to monetary fundamentals. Relative to more traditional time series volatility models, we find significant improvements in the ability to forecast the daily volatility of exchange rate changes by incorporating the monthly monetary fundamentals’ volatilities as predictors into the component volatility model. In the utility-based comparisons, we find that an investor is willing to pay a positive annual management fee of 5.72% on average to switch from the benchmark model to the fundamentals-based models. Of these models, the model with the symmetric and homogeneous Taylor rule and interest rate smoothing obtains the highest positive annual management fee.

Compared to the past literature on prediction markets that uses small-scale observational field data or experiments, this present research examines the efficiency of such markets by studying catastrophe (CAT) bonds. We collect actual catastrophe loss data, match them with the defined trigger events of each CAT bond contract, and then employ an empirical pricing framework to obtain the excess CAT premiums in order to represent the market-based forecasts. Our results indeed show that market-based forecasts have more significant predictive content for future CAT losses than professional forecasts that use natural catastrophe risk models. Although the predictive information for CAT events is specialized and complex, our evidence supports that CAT bond markets are successful prediction markets that efficiently aggregate information about future CAT losses. Our resultsalso highlight that actual CAT losses in future periods can explain the excess CAT bond spreads in the primary market and provide support for market efficiency when pricing CAT risk.

This study examines how competition affects the profitability of mutual funds’ trading on the post earnings announcement drift (PEAD). Our results show that among funds actively pursuing this strategy, only those that manage to avoid competition deliver superior performance. Further, we find that funds avoid competition by investing in illiquid stocks. Our analysis shows that the outperformance of these low-competition funds is mainly attributable to their information advantage in identifying mispricing among illiquid stocks.

We investigate the informational roles of foreign ownership in local credit rating agencies (CRAs) in the Chinese onshore debt market, which was the world's largest emerging debt market from 2008 to 2017. We find a robust negative relationship between the bond offering yield and foreign ownership in local CRAs, which suggests that these ratings certify the credit quality of debt issuers and thus enhance the market values of new debt issues. The information content of these ratings, however, is in contrast with the information provision role of foreign-owned CRAs (global CRAs). We find that these ratings provide no or weak better predictive power of issuers’ future credit performances than domestic CRAs. In addition, we find that stock and bond market reactions at the announcements of rating revisions made by global CRAs are not significantly different from those made by their domestic counterparts. We attribute the seemingly contradictory results to the preference for foreign brands in emerging markets and/or the improved bond liquidity associated with global CRA ratings.

Corporations often use affiliated firms as guarantors when issuing guaranteed bonds, thus combining external financing with internal credit enhancements. In this study, we empirically examine the potential determinants of corporate guaranteed debt issuance. We find evidence that issuers with fewer tangible assets, lower credit ratings, more pronounced debt overhang and/or greater managerial agency problems are more likely to issue guaranteed bonds. Moreover, we find that while firms generally issue guaranteed bonds with different motives, alternative incentives for guaranteed bond uses are largely captured by bond prices at issuance.