The risk in hedge fund strategies: Theory and evidence from long/short equity hedge funds

Theory suggests that long/short equity hedge funds' returns come from directional as well as spread bets on the stock market. Empirical analysis finds persistent net exposures to the spread between small vs large cap stocks in addition to the overall market. Together, these factors account for more than 80% of return variation. Additional factors are price momentum and market activity. Combining two major branches of hedge fund research, our model is the first that explicitly incorporates the effect of funding (stock loan) on alpha. Using a comprehensive dataset compiled from three major database sources, we find that among the three thousand plus hedge funds with similar style classification, less than 20% of long/short equity hedge funds delivered significant, persistent, stable positive non-factor related returns. Consistent with the predictions of the Berk and Green (2004) model we find alpha producing funds decays to “beta-only” over time. However, we do not find evidence of a negative effect of fund size on managers' ability to deliver alpha. Finally, we show that non-factor related returns, or alpha, are positively correlated to market activity and negatively correlated to aggregate short interest. In contrast, equity mutual funds and long-bias equity hedge funds have no significant, persistent, non-factor related return. Expressed differently, L/S equity hedge funds, as the name suggests, do benefit from shorting. Besides differences in risk taking behavior, this is a key feature distinguishing L/S funds from long-bias funds.     

The impact of OBRA on shareholder wealth

Market-return data and a multivariate regression model are used to investigate the impact of the Omnibus Budget Reconciliation Act of 1987 (OBRA) on the wealth of shareholders of firms sponsoring overfunded and underfunded pension plans during the period surrounding the passage of OBRA. Assuming semistrong market efficiency, a reduction in the pension insurance effect associated with the passage of OBRA was hypothesized to have a negative impact on the security prices of all plan sponsors. In general, the market reacted unfavorably to sponsors of both overfunded and underfunded defined-benefit pension plans when OBRA was introduced. However, the market reaction varied as a function of the funding-level change during the period preceding passage of the Act. Firm-specific financial variables were also used in a stepwise regression analysis to investigate whether selected financial variables could explain negative abnormal returns observed during the legislative period. We found that earnings per share and the short-term debt-coverage ratio explained up to 19.4% of the negative abnormal returns for the underfunded sample. However, no significant explanatory variables were identified for the overfunded sample.     

The Fisher Equation: A Nonlinear Panel Data Approach

This article reinvestigates the Fisher equation. Using the panel smooth transition regression (PSTR) model, it was found that there is a significant regime-switching effect concerning the impact of inflation on interest rates. Specifically, inflation is found to raise the interest rates and the effect becomes stronger in magnitude with inflation. However, the data do not provide evidence in support of the one-for-one Fisher effect. The evidence is robust to interest rates with different maturities and subsamples.     

Supervisors as good coaches: influences of coaching on employees’ in-role behaviors and proactive career behaviors

Coaching as an effective leadership initiative in organizations has gained increasing attention from scholars. This study investigates the effects of coaching on employees’ in-role behaviors (IRBs) and proactive career behaviors (PCBs), while also exploring the mediating role of psychological empowerment. Data were collected from a sample of 324 employee–supervisor pairs from 11 service companies in Taiwan. The results show that coaching was positively related to both IRBs and PCBs. Moreover, psychological empowerment fully mediated the coaching–IRB relationship and partially mediated the coaching–PCB relationship. Implications for managerial practices and future research are derived from these findings.     

The impact of execution delay on the profitability of put‐call‐futures trading strategies—Evidence from Taiwan

This study examines the impact of execution delay on the profitability of put‐call‐futures quasi‐arbitrage strategies using trade and quote data in the Taiwanese market. Assuming order execution at the next immediate price following a mispricing signal, the execution of individual components is traced and a substantial delay resulting from the late execution of an option is reported. A fill‐or‐kill strategy that directly restricts such a delay is unsatisfactory because unwinding already acquired positions involves added transaction costs. Ex ante performance is significantly improved for combined strategies that execute the less liquid asset first, while shortening the time before acquisition of the first position. © 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27:361–385, 2007     

An investigation of the mean reversion of hospitality stock prices towards their fundamental values: The case of Taiwan

This paper tested the mean reversion behavior of stock prices in the hospitality and other industry sectors towards their fundamental values, namely earnings per share (EPS) and dividend per share (DPS). Cointegration test results showed that DPS is not a good proxy of fundamental values of stock prices in all sectors, while EPS can serve as a good proxy of fundamental values of stock prices only in the hospitality and construction sectors. Further, although hospitality stock prices have diverged away from their fundamental values from time to time, there exists an error correction mechanism in the market, which adjusts hospitality stock prices to return to their fundamental values. We also found that hospitality stock prices driven by their EPS are due to less noise trading and small size in the hospitality industry. Lastly, empirical findings suggest that hospitality stock investors should pay more attention to the underlying performance of hospitality stocks in terms of their earnings per share.     

Internet Growth and Economic Theory

This paper focuses on economic implications of the Internet. We argue that some effects of the Internet can be understood within the context of traditional economics. Specifically, the Internet has the potential to make market more contestable and hence more competitive. Policy issues are also discussed.     

Hotel stock performance and monetary conditions

Following the investigation of the link between hotel stock returns and macroeconomic factors in the hospitality finance literature, this study further examines (1) the performance of Taiwanese hotel stocks under two various monetary policy environments, namely expansive and restrictive, and (2) the impact of different monetary stringency on the relationship between hotel stock returns and macro variables in Taiwan. Using changes in the discount rate allows us to effectively measure the monetary policy changes and classify the monetary environment as either restrictive or expansive. Empirical results show that hotel stocks exhibited a higher mean return and reward-to-risk ratio during expansive monetary periods. Moreover, the connection between hotel stock returns and macro variables behaved differently under various monetary conditions. In response to monetary policy developments, the implication for hotel stock investors to reallocate their investment portfolios is provided.     

A Data-Analytic Method for Forecasting Next Record Catastrophe Loss

We develop in this article a data‐analytic method to forecast the severity of next record insured loss to property caused by natural catastrophic events. The method requires and employs the knowledge of an expert and accounts for uncertainty in parameter estimation. Both considerations are essential for the task at hand because the available data are typically scarce in extreme value analysis. In addition, we consider three‐parameter Gamma priors for the parameter in the model and thus provide simple analytical solutions to several key elements of interest, such as the predictive moments of record value. As a result, the model enables practitioners to gain insights into the behavior of such predictive moments without concerning themselves with the computational issues that are often associated with a complex Bayesian analysis. A data set consisting of catastrophe losses occurring in the United States between 1990 and 1999 is analyzed, and the forecasts of next record loss are made under various prior assumptions. We demonstrate that the proposed method provides more reliable and theoretically sound forecasts, whereas the conditional mean approach, which does not account for either prior information or uncertainty in parameter estimation, may provide inadmissible forecasts.