HEDGING INTEREST RATE RISK UNDER TERM STRUCTURE EFFECTS: AN APPLICATION TO FINANCIAL INSTITUTIONS

In this paper we investigate the use of the structured full rank model for hedging the balance sheet of a financial institution. Simulation results suggest that the optimal hedge is insensitive to changes in parameter estimates. In addition, we hedge a portfolio of Treasury bills using both the full information covariance matrix and the structured covariance matrix. We then contrast these results with those obtained from a duration-based model. Empirical results suggest that the structured full rank model is generally more effective in hedging applications than either the full information model or duration-based model.     

On the Statistical Significance of Event Effects on Unsystematic Volatility

We develop a method for determining the significance of the effect of a certain event (stock split, corporate restructuring, change in regulation, etc.) on unsystematic volatility of asset returns. Simulations show that the suggested tests reject the true null hypothesis of no effect on volatility at appropriate levels, whereas the rejection rates of a false null hypothesis increase with the magnitude of the effect. An application of the method to corporate spin‐offs reveals statistically significant and long‐lasting estimated increases in unsystematic volatility of parent companies' returns.     

Short term real earnings management prior to stock repurchases

This study examines whether firms engage in income-decreasing real earnings management before open market stock repurchases to reduce the cost of stock buybacks. In the short run, managers have the ability to underproduce inventory and increase discretionary expenditures, thus decreasing current period earnings. We find that managers engage in both of these activities before repurchasing their firms’ shares, especially the latter. Also, companies increase their discretionary spending before making repurchases to a greater extent following the passage of the Sarbanes–Oxley Act of 2002 as well as when they are financially healthy and have high marginal tax rates. Finally, we document that firms with the most income-decreasing real earnings management experience the largest positive abnormal returns during the subsequent period. Our findings highlight the importance of considering firms’ use of real operating decisions, as opposed to just opportunistic disclosure practices, around significant corporate events, such as the repurchase of their own stock.     

Societal trust and corporate tax avoidance

Using an international sample of firms from 25 countries and a country-level index for societal trust, we document that societal trust is negatively associated with tax avoidance, even after controlling for other institutional determinants, such as home country legal institutions and tax system characteristics. We explore the effects of two country-level institutional characteristics—strength of legal institutions and capital market pressure—on the relation between societal trust and tax avoidance. We find that the relation between trust and tax avoidance is less pronounced when the legal institutions in a country are stronger and is more pronounced when the capital market pressure is stronger. Finally, we examine the relation between societal trust and tax evasion, an extreme and illegal form of tax avoidance. We show that societal trust is negatively related to tax evasion and the negative relation is less pronounced when legal institutions are stronger.     

Spectral Analysis of Advertising-Sales Interaction: An Illustration

Abstract

Cross-spectral analysis is recognized as a powerful analytical tool for the analysis of time-varying behavior in a number of disciplines. Applications in business have been limited, however, and the potential usefulness of this new approach to time series analysis has received relatively little attention in advertising. The purpose of this paper is to explain cross-spectral analysis and illustrate the use of this new technique in studying the interaction between advertising and sales.     

Minimum variance cross hedging under mean‐reverting spreads,stochastic convenience yields,and jumps: Application to the airline industry

Exchange traded futures contracts often are not written on the specific asset that is a source of risk to a firm. The firm may attempt to manage this risk using futures contracts written on a related asset. This cross hedge exposes the firm to a new risk, the spread between the asset underlying the futures contract and the asset that the firm wants to hedge. Using the specific case of the airline industry as motivation, we derive the minimum variance cross hedge assuming a two‐factor diffusion model for the underlying asset and a stochastic, mean‐reverting spread. The result is a time‐varying hedge ratio that can be applied to any hedging horizon. We also consider the effect of jumps in the underlying asset. We use simulations and empirical tests of crude oil, jet fuel cross hedges to demonstrate the hedging effectiveness of the model. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:736–756, 2009     

A note on weekday, intraday, and overnight patterns in the interbank foreign exchange and listed currency options markets

Transactions data are used to investigate returns patterns for close-to-close, close-to-open, and intraday long positions in spot currency (interbank) and currency put options (listed) for the years 1983 through 1988. Both trading-day and calendar-day hypotheses are investigated. Under the former, spot market returns are found to be significantly higher from Friday close to Monday close and from Friday close to Monday open. Under the calendar-day hypothesis, however, no significant close-to-close pattern emerges, and the Friday close to Monday open effect is reversed. Finally, spot (put) market returns are found to be significantly lower (higher) for Tuesday and Friday afternoons.     

SHORT‐MATURITY OPTIONS AND JUMP MEMORY

We investigate jump memory using an extensive database of short‐term S&P 500 index options. Jump memory refers to the attenuation of the implied jump intensity and magnitude parameters following a crash event. We use a genetic algorithm to obtain a time series of implied parameter estimates and posit behavioral and rational explanations for parameter attenuation following a crash event. We find that a nested form of the jump‐diffusion model sharpens the remaining parameter estimates and has a negligible effect on pricing accuracy.     

Exchange Rate Shocks and the Speed of Trade Price Adjustment

A quantity adjustment cost model is developed in the context of international trade along the lines proposed by Krugman (1987). The model implies that prices adjust dynamically to exchange rate fluctuations. The price adjustment speed is determined as a function of foreign demand responsiveness, the appropriate discount rate, and an adjustment cost parameter. Pass-through is incomplete and increases over time and with the speed of price adjustment. A preliminary empirical analysis finds that the speed of price adjustment from the time series by industry and then in a cross-sectional regression tentatively relates the obtained adjustment speeds to their theoretical determinants.     

An empirical analysis of multi‐period hedges: Applications to commercial and investment assets

This study measures the performance of stacked hedge techniques with applications to investment assets and to commercial commodities. The naive stacked hedge is evaluated along with three other versions of the stacked hedge, including those which use exponential and minimum variance ratios. Three commercial commodities (heating oil, light crude oil, and unleaded gasoline) and three investment assets (British Pounds, Deutsche Marks, and Swiss Francs) are examined. The evidence suggests that stacked hedges perform better with investment assets than with commercial commodities. Specifically, deviations from the cost‐of‐carry model result in nontrivial hedge errors in the stacked hedge. Exponential and minimum variance hedge ratios were found to marginally improve the hedging performance of the stack. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:587–606, 2005