Earnings Predictability,Bond Ratings,and Bond Yields

We examine the role that earnings predictability plays in establishing a firm’s cost of debt capital by measuring its influence on establishing a new issue’s bond rating. In addition, we also examine the effects of earnings predictability on the initial pricing of the firm’s debt. Using new corporate bond issues from the period 1990–2000, our results indicate that the degree of predictability of a firm’s earnings is positively associated with a firm’s bond rating. Moreover, earnings predictability is also documented to be negatively associated with the offering yield. Importantly, bond rating classification accuracy is improved when specific measures of a firm’s earnings predictability are added to a robust model.JEL Classification:     

Information Collection and IPO Underpricing

This study provides new evidence that IPO underpricing is economic rents paid for investor to gather costly information. Subrahmanyam and Titman (1999) report that diverse investor information, once aggregated in the public market, could provide a more informative stock price and accurate feedback to firm’s investment decision. I investigate the hypothesis that IPO underpricing as economic rents could be higher, when investor information is diverse. In support of this hypothesis, I find a positive and significant correlation between the extent of underpricing and the information diversity measure proposed by Barron et al. (1998). There is a positive and significant correlation between this information diversity measure and an IPO firm’s subsequent (absolute) change in capital and R&D expenditures. In addition, firms with high information diversity measure and change in subsequent investment exhibit a better subsequent return performance than firms with low diversity and change in investment. This is consistent with the proposition that investor information serves as useful feedback for managers in the IPO market.JEL Classification: G32     

The Informational Role of Option Trading Volume in Equity Index Options Markets

This paper examines the dynamic relations between future price volatility of the S&P 500 index and trading volume of S&P 500 options to explore the informational role of option volume in predicting the price volatility. The future volatility of the index is approximated alternatively by implied volatility and by EGARCH volatility. Using a simultaneous equation model to capture the volume-volatility relations, the paper finds that strong contemporaneous feedbacks exist between the future price volatility and the trading volume of call and put options. Previous option volumes have a strong predictive ability with respect to the future price volatility. Similarly, lagged changes in volatility have a significant predictive power for option volume. Although the volume-volatility relations for individual volatility and volume terms are somewhat different under the two volatility measures, the results on the predictive ability of volume (volatility) for volatility (volume) are broadly similar between the implied and EGARCH volatilities. These findings support the hypothesis that both the information- and hedge-related trading explain most of the trading volume of equity index options.     

Compensation Design and Career Concerns of Fund Manager

We develop an optimal incentive contract for the fund manager with career concerns. Drawing upon the framework of Gibbons and Murphy (1992), we restructure the performance of fund manager with emphasis on the multiplicative effect of previous effort on the latter period, and derive the positive cross-period linkage of fund managers efforts. In particular, our study derives that a greater first-periods effort by the fund manager will induce more second-period effort and greater compensation in either fixed or variable (performance-related) portion of the payment. Though the total performance related pay might increase as the result of greater effort in the previous period, we show that the pay-performance sensitivity in the second period will decline. Moreover, the initial wealth increase will motivate the fund manager to exert more effort and induce better performance, but decrease the pay-performance sensitivity in the second period.JEL Classification: G2, J33, J41     

The Value-Relevance of Derivative Disclosures by Commercial Banks: A Comprehensive Study of Information Content Under SFAS Nos. 119 and 133

This study examines the value-relevance of banks' derivative disclosures under Statements of Financial Accounting Standards (SFAS) Nos. 119 and 133. Using the complete time-series of SFAS No. 119 disaggregated notional value disclosures and the most recently available SFAS No. 133 fair value data, this study investigates whether such expanded disclosures provide incremental information content beyond earnings and book value. Our results indicate that banks' notional principal amount disclosures are value-relevant, and that this evidence of incremental information content is robust to the inclusion of recently available fair value data and alternative model specifications. JEL Classification: M41, G21     

Financing Preferences of Spanish Firms: Evidence on the Pecking Order Theory

This paper analyses some of the empirical implications of the pecking order theory in the Spanish market using a panel data analysis of 1,566 firms over 1994–2000. The results show that the pecking order theory holds for most subsamples analyzed, particularly for the small and medium-sized enterprises and for the high-growth and highly leveraged companies. It is also shown that both the more and the less leveraged firms tend to converge towards more balanced capital structures. Finally, we observe that firms finance their funds flow deficits with long term debt.     

Dynamic Linkages Between the Greater China Economic Area Stock Markets—Mainland China,Hong Kong,and Taiwan

This research examines the linkages among three Greater China Economic Area (GCEA) stock markets, including Mainland China, Hong Kong, and Taiwan, and two developed markets, Japan and the United States. We find that: (1) a random walk model is outpredicted by an autoregressive GARCH model and an ARIMA model in all three GCEA markets; (2) the three GCEA markets are not cointegrated with either U.S. or Japan but there exists weak nonlinear relationships between these markets; and (3) result from the innovation accounting analysis reveals that the U.S. market has larger influence on the GCEA markets than the Japanese market. Additionally, Hong Kong is the most influential among the three GCEA markets.JEL Classification: G10, G14, G15Opinions and results presented in this paper are those of the authors and are not intended to represent the views, policies, or interests of Fannie Mae. This paper is not the result of Fannie Mae related research and does not use or cite Fannie Mae data sources.     

Real Interest Rate Parity: Long-Run and Short-Run Analysis Using Wavelets

In this article, long-run and short-run relationships among real interest rates in G-7 countries are empirically analyzed. The evidence suggests the existence of long-run relationships among these real interest rates. However, the long-run relationship is not an equality relationship. Short-run relationships are estimated using dynamic simultaneous equation models. They reveal that the real interest rates of non-U.S. G-7 countries react and adjust to long-run disequilibrium conditions. A more detailed analysis based on wavelet transform indicates the existence of both short-run and long-run relationships; however, strict interest rate parity does not seem to hold true.JEL Classification: C22, E43, G15     

Currency Hedging Using the Mean-Gini Framework

The mean-Gini framework has been suggested as a robust alternative to the portfolio approach to futures hedging given its optimality under general distributional conditions. However, calculation of the Gini hedge ratio requires estimation of the underlying price distribution. We estimate minimum-Gini hedge ratios using two widely-used estimation procedures, the empirical distribution function method and the kernel method, for three emerging market and three developed market currencies. We find that these methods yield different Gini hedge ratios. These differences increase with risk aversion and are statistically significant for all developed market currencies but only one emerging market currency. In-sample analyses show that the empirical distribution function method is more effective at risk reduction than the kernel method for developed market currencies, whereas the kernel method is superior for emerging market currencies. Post-sample analyses strengthen the superiority of the empirical distribution function method for developed market and, in several cases, for emerging market currencies.JEL Classification: F31, G15     

Tax Evasion and Auditing in a Federal Economy

This paper analyzes the relation between tax auditing and fiscal equalization in the context of fiscal competition. We incorporate a model of tax evasion by firms into a standard tax competition framework where regional governments use their audit rates as a strategic instrument to engage in fiscal competition. We compare the region’s choice of audit policies for three different cases: A scenario of unconfined competition without interregional transfers, a scenario with a gross revenue equalization (GRS) scheme and finally, a scenario with net revenue sharing (NRS), where not only the revenues from taxation but also the regions auditing costs are shared. Without regional transfers, fiscal competition leads to audit rates which are inefficiently low for revenue-maximizing governments. While in general GRS aggravates the inefficiency, NRS makes the decentralized choice of auditing policies more efficient.JEL Code: H26, H71, H77