Do hedge funds' exposures to risk factors predict their future returns?

This paper investigates hedge funds' exposures to various financial and macroeconomic risk factors through alternative measures of factor betas and examines their performance in predicting the cross-sectional variation in hedge fund returns. Both parametric and non-parametric tests indicate a significantly positive (negative) link between default premium beta (inflation beta) and future hedge fund returns. The results are robust across different subsample periods and states of the economy, and after controlling for market, size, book-to-market, and momentum factors as well as the trend-following factors in stocks, short-term interest rates, currencies, bonds, and commodities. The paper also provides macro-level and micro-level explanations of our findings.     

Macroeconomic risk and hedge fund returns

This paper estimates hedge fund and mutual fund exposure to newly proposed measures of macroeconomic risk that are interpreted as measures of economic uncertainty. We find that the resulting uncertainty betas explain a significant proportion of the cross-sectional dispersion in hedge fund returns. However, the same is not true for mutual funds, for which there is no significant relationship. After controlling for a large set of fund characteristics and risk factors, the positive relation between uncertainty betas and future hedge fund returns remains economically and statistically significant. Hence, we argue that macroeconomic risk is a powerful determinant of cross-sectional differences in hedge fund returns.     

Overcompensation as a service recovery strategy: the financial aspect of customers’ extra effort

Service Business - Compensation is one of the most important elements of service. Companies often pursue a strategy of overcompensation; however, there are contradictory results in the literature...     

Public Pension Programs in Southeast Asia: An Assessment

This paper assesses public pension programs in select Southeast Asian economies (Indonesia, Malaysia, the Philippines, Singapore, Thailand, and Vietnam – henceforth referred to as the SEA6) and the key issues facing them. The criteria used in assessing pension systems are the philosophy of pension design, the extent of coverage, investment policies and performance, and administrative and compliance costs. The paper argues that three broad reform directions to strengthen public pensions merit consideration. The first direction is to enhance the professionalism of the existing provident and pension fund organizations, including their governance practices. The second direction is to strengthen the role of noncontributory budget‐financed pensions (e.g. social pensions). The third is to adopt a systemic perspective to pension reform that includes reforms in complementary areas (labor markets, public financial management practices, and the civil service); developing a financing‐mix of pensions; and lastly, improving effective coverage by exploring complementarities between health care and pension programs.     

The role of channel quality in customer equity management

Maximization of customer equity is a core objective of customer–company relationship management. We present an extended model of customer equity for determining the optimal allocation of marketing resources across acquisition and retention activities. Focusing on the negative relationship between acquisition and retention, we motivate channel quality as a relevant decision variable, explicate its role in the model, and demonstrate the existence of an optimal value. In addition, rather than making concavity assumptions about acquisition and retention rate response curves, we use the flexible ADBUDG model (Little, JDC, Models and Managers: the Concept of a Decision Calculus. Manag Sci 1970; 16(8): 466–484.), which allows for both S-shaped and strictly-concave relationships, and parameterize it using decision calculus. We show how to estimate and apply the model and then provide sensitivity analyses with respect to changes in the true values of model parameters as well as inaccuracy in managerial inputs. We conclude by comparing our model with extant models and discussing the implications of our research.     

Commitment in Marketing Channels: Mitigator or Aggravator of the Effects of Destructive Acts?

This research examines how a firm's relationship commitment influences its extra-role behavior after an intentional destructive act by a partner. The results of two studies – one a national survey of dealers for a consumer durable product and the other a set of three experiments involving business-to-business managers – show that the outcome of a destructive act depends on the type of commitment: whether the commitment is affective, calculative, or normative. Under relational distress caused by a supplier's destructive act, high affective commitment induces more negative extra-role behaviors, high calculative commitment induces more positive extra-role behaviors, while high normative commitment induces little change in extra-role behavior. Process tests indicate that each of these effects on extra-role behavior is explained (mediated) by psychological responses that are distinct for the type of commitment involved.     

World market risk,country-specific risk and expected returns in international stock markets

This paper determines whether the world market risk, country-specific total risk, and country-specific idiosyncratic risk are priced in an international capital asset pricing model (ICAPM). Portfolio-level analyses, country-level cross-sectional regressions, stacked time-series, and pooled panel regressions indicate that the world market risk is not, but country-specific total and idiosyncratic risks are significantly priced in an ICAPM framework with partial integration. This result is robust to different methods for estimating risk measures, different investment horizons, and after controlling for the countries’ aggregate dividend yield, earnings-to-price ratios, inflation risk, exchange rate uncertainties, aggregate volatility risk, and past return characteristics. The main findings turn out to be insensitive to the choice of one-factor vs. multifactor models used to estimate systematic and idiosyncratic risk measures.     

Systematic risk and the cross section of hedge fund returns

This paper investigates the extent to which market risk, residual risk, and tail risk explain the cross-sectional dispersion in hedge fund returns. The paper introduces a comprehensive measure of systematic risk (SR) for individual hedge funds by breaking up total risk into systematic and fund-specific or residual risk components. Contrary to the popular understanding that hedge funds are market neutral, we find that systematic risk is a highly significant factor explaining the dispersion of cross-sectional returns while at the same time measures of residual risk and tail risk seem to have little explanatory power. Funds in the highest SR quintile generate 6% more average annual returns compared with funds in the lowest SR quintile. After controlling for a large set of fund characteristics and risk factors, systematic risk remains positive and highly significant, whereas the relation between residual risk and future fund returns continues to be insignificant. Hence, systematic risk is a powerful determinant of the cross-sectional differences in hedge fund returns.     

Instructional case: Blue Ridge Revisited—Integrating ABC and OROS Quick® software

Blue Ridge Manufacturing Company produces customized towels for the US sports market. Recently, competitive pressures motivated the company to institute an activity-based costing (ABC) system for allocating manufacturing support costs to its major product lines. Management is pleased with the manufacturing cost information that the ABC system is providing and is beginning to use the ABC data to drive process improvements. To secure additional gains, management is now interested in conducting a customer profitability analysis. Currently, the company allocates its Selling, General, and Administrative (SG&A) costs to products and/or customers on the basis of sales volume (units). The question posed to you, in your role as a member of a team of managerial accountants, is whether the SG&A costs can be more accurately assigned to customer groups (“large,” “medium,” and “small,” as determined by sales volume). To this end, you have been asked to build and interpret the results of an ABC model that assigns SG&A costs to each of these three customer groups. Blue Ridge has recently implemented a new software system that includes an ABC module (called OROS Quick®), which you will use to build your cost assignment model and to respond to a number of managerial questions based on the cost analysis you perform.     

Modeling the conditional mean and variance of the short rate using diffusion,GARCH, and moving average models

This article introduces a two‐factor‐discrete‐time‐stochastic‐volatility model that allows for departures from linearity in the conditional mean and incorporates serially correlated unexpected news, asymmetry, and level effects into the definition of conditional volatility of the short rate. The new class of econometric specifications nests many popular existing symmetric and asymmetric GARCH as well as diffusion models of the short‐term interest rate. This study attempts to determine the correct specification of conditional mean and variance of the short rate by developing a more general econometric framework that allows for nonlinear effects in the drift of the short rate, and that defines the conditional volatility as a nonlinear function of unexpected information shocks and interest rate levels. The existing and alternative models are compared in terms of their ability to capture the stochastic behavior of the short‐term riskless rate. The empirical results indicate that the relative performance of the two‐factor models in predicting the future level and variance of interest‐rate changes is superior to the nested models. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:717–751, 2000