INFORMATION OPACITY AND FITCH BOND RATINGS

We examine the marginal impact of Fitch ratings on the at‐issuance yields of industrial and utility bonds rated by Moody's and Standard & Poor's. We find that Fitch ratings reduce the yield premiums on information‐opaque bonds by about 30%, or 15 basis points. The finding is robust even when a Fitch rating exactly equals the two major ratings or their average. The findings suggest that Fitch ratings are not redundant but bring additional information to investors. Increased competition in the rating industry enhances the information efficiency of the bond market, and the existence of smaller rating agencies is economically justified.     

Optimal Intertemporal Consumption and Involuntary Memories of Consumption

Recent studies introduce the notion of treating autobiographical memories of past pleasurable experiences as assets and expanding the discounted utility model to include the utility of memories of past consumption. Recent studies in psychology have found that involuntary autobiographical memories are common in everyday life. This paper builds on these two strands in the literature by expanding the discounted utility model to include the utility of involuntary memories of past consumption. Optimal control theory is used to develop a continuous‐time optimal consumption model that takes into account the fact that consumption may generate involuntary memories that arrive at random times. The model is used in an in‐depth analysis of optimal consumption with memories. It is shown that memories shift consumption to earlier times. This effect gets weaker as the time horizon gets longer, and it vanishes entirely when the time horizon is infinite.     

An application of rule-based forecasting to a situation lacking domain knowledge

Rule-based forecasting (RBF) uses rules to combine forecasts from simple extrapolation methods. Weights for combining the rules use statistical and domain-based features of time series. RBF was originally developed, tested, and validated only on annual data. For the M3-Competition, three major modifications were made to RBF. First, due to the absence of much in the way of domain knowledge, we prepared the forecasts under the assumption that no domain knowledge was available. This removes what we believe is one of RBF’s primary advantages. We had to re-calibrate some of the rules relating to causal forces to allow for this lack of domain knowledge. Second, automatic identification procedures were used for six time-series features that had previously been identified using judgment. This was done to reduce cost and improve reliability. Third, we simplified the rule-base by removing one method from the four that were used in the original implementation. Although this resulted in some loss in accuracy, it reduced the number of rules in the rule-base from 99 to 64. This version of RBF still benefits from the use of prior findings on extrapolation, so we expected that it would be substantially more accurate than the random walk and somewhat more accurate than equal weights combining. Because most of the previous work on RBF was done using annual data, we especially expected it to perform well with annual data.     

Faculty Salary Inversion,Compression, and Market Salary Gap in California State University Business Schools

Employee Responsibilities and Rights Journal - Extant literature has examined salary compression and inversion in US academic institutions including arguments that compression constitutes a form of...     

Split Bond Ratings and Information Opacity Premiums

This paper examines the relationship between split bond ratings and bond yields at the notch level for newly issued corporate bonds. We find that split rated bonds average a 7-basis-point yield premium over nonsplit rated bonds of similar credit risk. The yield premium increases from 5 basis points for one-notch splits to 15 (20) basis points for two-notch (three-notch) splits. These findings indicate that investors demand higher yields for split rated bonds to compensate for the information opacity of such bonds. In addition, the yield premium for split rated bonds is higher during economic recessions, indicating investors are more risk averse during economic downturns. Consequently, split ratings impose higher borrowing costs for firms, especially during economic downturns.     

Long-Range Dependence in U.S. Home Price Volatility

The existence of GARCH effects in a financial price series means that the probability of large losses is much higher than standard mean-variance analysis suggests. Accordingly, several recent papers have investigated whether GARCH effects exist in the U.S. housing market, as changes in house prices can have far-ranging impacts on defaults, foreclosures, tax revenues and the values of mortgage-backed securities. Some research in finance indicates that the conditional variance of some assets exhibits far greater persistence, or even “long memory”, than is accounted for in standard GARCH models. If house prices do indeed have this very persistent volatility, properly estimating the conditional variance to allow for such persistence is crucial for optimal portfolio management. We examine a number of U.S. metropolitan areas, and find that, for those with significant GARCH effects, more than half indeed exhibit the very high persistence found in other assets such as equities. We also find that, for those markets exhibiting such persistent volatility, C-GARCH models typically do a better job in forecasting than standard GARCH models. Moreover, there is some tentative evidence that metro areas with the fastest appreciation may be most likely to have such long memory conditional variance. These findings should help in improving risk management, through, for instance the construction of better-specified value-at-risk models.     

Institutional Investors’ Reaction to SEC Concerns about IFRS and US GAAP Reporting

For the period of 2006 to 2008, we collect Comment Letters issued by the SEC that question the application of US GAAP by US firms or the application of IFRS by European firms registered with the SEC. We investigate whether institutional investors react to the letters by changing their holdings and whether their responses vary for US registrants and European registrants. We do this via a treatment‐effects model in which we test the hypothesis that institutional investors rebalance their portfolio holdings because they view Comment Letters as informative public signals. We find that institutional investors reduce their equity holdings when firms receive SEC Comment Letters, and their negative reactions are most marked for low turnover institutional investors, who we use to represent those informed investors most prepared to incur costs to closely monitor firms. Next, while noting that the number of Letters questioning application of IFRS are smaller in number relative to those questioning application of US GAAP, we investigate whether there are different reactions to Comment Letters questioning different standards. We show that there is a higher probability of the SEC questioning the application of IFRS as compared to US GAAP. After controlling for firm‐specific conditions that impact the issuance of a Comment Letter, we show that this higher probability has economic significance because institutional investors’ react more negatively to Comment Letters that question the application of IFRS as compared to US GAAP. A content analysis confirms the economic importance of the Comment Letters. We find that in almost half of all IFRS cases the Comment Letters request amendments to financial statements.