On the Role of Futures Trading in Spot Market Fluctuations: Perpetrator of Volatility or Victim of Regret?

We examine the role of index futures trading in spot market volatility. We use the exponential generalized autoregressive conditional heteroskedasticity (EGARCH) approach to measure volatility, analyze causality and feedback relations between volatilities in the spot and futures markets, and test various hypotheses in the context of a multivariate model that incorporates other macrostate variables. Our empirical results suggest index futures trading may not be blamed for the observed volatility in the spot market. Rather, we find stronger and more consistent support for the alternative posture that volatility in the futures market is an outgrowth of a turbulent cash market. We use the regret (cognitive dissonance) theory to explain our results.     

Forms of Foreign Investment Liberalization and Risk in Emerging Stock Markets

I examine the effect of different forms of foreign investment liberalization on risk in emerging equity markets, including international cross-listings and closed-end country funds, and in the domestic equity market as foreign investment restrictions are eliminated. I find that in Latin American markets volatility declines significantly with different forms of foreign investment liberalization, and in Asian markets volatility does not increase significantly. Volatility is driven by domestic factors in South America, but the transmission of volatility from the United States to Mexico increases after liberalization. The market risk exposure increases in Argentina after liberalization, in Chile with an index of American Depositary Receipts, and in Thailand with greater foreign ownership, reducing the diversification benefits of these markets.     

Equity‐Based Compensation for Employees: Firm Performance and Determinants

I examine the effect of employee equity‐based compensation (EBC) on firm performance and the determinants of EBC. Using two samples, I find that firms have come to rely more heavily on EBC than in the past. For both samples, I document a significant, positive relation between Tobin's q and the percentage of employee compensation that is equity based. For accounting returns, I find a positive relation with the earlier sample. However, for the later sample I find that greater use of EBC leads to lower levels of future accounting returns. I also find that the determinants of the proportion of EBC are different between the two samples.     

Non‐linear Predictability of UK Stock Market Returns*

Linear predictability of stock market returns has been widely reported. However, recently developed theoretical research has suggested that due to the interaction of noise and arbitrage traders, stock returns are inherently non‐linear, whereby market dynamics differ between small and large returns. This paper examines whether an exponential smooth transition threshold model, which is capable of capturing this non‐linear behaviour, can provide a better characterization of UK stock market returns than either a linear model or an alternate non‐linear model. The results of both in‐sample and out‐of‐sample specification tests support the exponential smooth transition threshold model and hence the belief that investor behaviour does differ between large and small returns.     

Dividend Omissions and Intraindustry Information Transfers

We examine potential information transfers from companies that announce dividend omissions to their industry rivals. Specifically, we examine the abnormal stock returns and abnormal earnings forecast revisions of rivals after a company makes a dividend‐omission announcement. Our results show negative and significant abnormal stock returns and negative and significant abnormal forecast revisions for rival companies in response to the announcement, and a significant and positive relation between the two. We conclude that a dividend‐omission announcement transmits unfavorable information across the announcing company's industry that affects cash flow expectations and ultimately stock prices.     

A re-examination of the forward exchange rate unbiasedness hypothesis

A Re-Examination of the Forward Exchange Rate Unbiasedness Hypothesis. — This paper applies the Phillips and Hansen estimation and inference procedures to re-examine the hypothesis that the forward exchange rate is an unbiased predictor of the future spot exchange rate. The results indicate that the 90-day forward exchange rate is not an unbiased predictor. However, the 90-day forward and future spot exchange rates are cointegrated. Only for the U.K. pound/U.S. dollar exchange rate is there an error correction representation. Overall, however, the evidence is consistent with the hypothesis that risk-averse agents in the forward foreign exchange market form expectations rationally.     

Regulation And The Rise In Asset-Based Mutual Fund Management Fees

In this article I explain why asset‐based fees are common for mutual fund management companies and why the average fee has increased recently. I argue that Securities and Exchange Commission fee regulations make alternative fee types illegal or unattractive. Management companies can maintain higher fees because regulations and brand‐name capital partly insulate them from competition and because investors cannot easily distinguish between performance‐oriented and marketing‐oriented fund companies. Index funds and unit investment trusts may offer competition to mutual funds in the future because they are designed to minimize management fees.     

Nonlinear Drift And Stochastic Volatility: An Empirical Investigation Of Short-Term Interest Rate Models

In this article I provide new evidence on the role of nonlinear drift and stochastic volatility in interest rate modeling. I compare various model specifications for the short‐term interest rate using the data from five countries. I find that modeling the stochastic volatility in the short rate is far more important than specifying the shape of the drift function. The empirical support for nonlinear drift is weak with or without the stochastic volatility factor. Although a linear drift stochastic volatility model fits the international data well, I find that the level effect differs across countries.     

ALL THINGS CONSIDERED,TAXES DRIVE THE JANUARY EFFECT

The multitude of explanations for the January effect leaves the reader confused about its primary cause(s): is it tax‐loss selling, window dressing, information, bid‐ask bounce, or a combination of these causes? The confusion arises, in part, because evidence has generally been presented in support of a particular hypothesis though the same evidence may be consistent with another hypothesis. Furthermore, prior work does not adequately control for the bid‐ask bounce. In this article we try to disentangle different explanations of the January effect and identify its primary cause. We find that tax‐related selling is the most important cause, overshadowing other explanations.