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This study employs a non-parametric approach to investigate the volatility risk premium in the over-the-counter currency option market. Using a large database of daily delta-neutral straddle quotes in four major currencies—the British pound, the euro, the Japanese yen, and the Swiss franc—we find that volatility risk is priced in all four currencies across different option maturities. We find that the volatility risk premium is negative, with the premium decreasing in maturity. Finally, we also find evidence that jump risk may be priced in the currency option market.

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We study underwriting relationships in the floating rate debt market, where many issuers have a large number of offerings. We find that frequent issuers maintain close relationship with only three to five underwriters and pay significantly less underwriting fees than infrequent issuers. The findings are consistent with the notion that starting an underwriting relationship requires expenses for information production. We also find that an issuer’s first underwriter has a cost advantage over later-comers in competing for the issuer’s business. As a result, the first underwriter wins a larger share of the issuer’s business. Copyright Springer Science + Business Media, LLC 2006Underwriting relationship, Floating rate debt, Underwriting fees, Information production costs, First mover advantage,

We describe the fundamental issues that long-horizon event studies face in choosing the proper research methodology, and summarize findings from existing simulation studies about the performance of commonly used methods. We document in details how to implement a simulation study and report our own findings on large-size samples. The findings have important implications for future research.We examine the performance of more than twenty different testing procedures that fall into two categories. First, the buy-and-hold benchmark approach uses a benchmark to measure the abnormal buy-and-hold return for every event firm, and tests the null hypothesis that the average abnormal return is zero. Second, the calendar-time portfolio approach forms a portfolio in each calendar month consisting of firms that have had an event within a certain time period prior to the month, and tests the null hypothesis that the intercept is zero in the regression of monthly portfolio returns against the factors in an asset-pricing model. We find that using the sign test and the single most correlated firm being the benchmark provides the best overall performance for various sample sizes and long horizons. In addition, the Fama-French three-factor model performs better in our simulation study than the four-factor model, as the latter leads to serious overrejection of the null hypothesis.We evaluate the performance of bootstrapped Johnson's skewness-adjusted t-test. This computation-intensive procedure is considered because the distribution of longhorizon abnormal returns tends to be highly skewed to the right. The bootstrapping method uses repeated random sampling to measure the significance of relevant test statistics. Due to the nature of random sampling, the resultant measurement of significance varies each time such a procedure is used. We also evaluate simple nonparametric tests, such as the Wilcoxon signed-rank test or the Fisher's sign test, which are free from random sampling variation.

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