Estimating Cost of Equity: Do You Need to Adjust for Foreign Exchange Risk?

Empirical reports of priced foreign exchange (FX) risk raise the question of whether managers should adjust their cost of equity estimates for FX risk. To study this question, we empirically compare the cost of equity estimates of several risk–return models, including some that have explicit FX risk premia and others that do not. We find that adjusting for FX risk makes little difference, on average, in the cost of equity estimates, even for small firms and firms with extreme FX exposure estimates.     

Goal Multiplicity and Innovation: How Social and Economic Goals Affect Open Innovation and Innovation Performance

Integrating insights from the strategic goal literature and the knowledge‐based view of the firm, this article proposes that the pursuit of social and economic strategic goals by commercial firms affects their innovation performance through different knowledge sourcing activities. The strategic goals, knowledge sourcing practices, and innovation performance of 1257 Belgian firms are investigated. Results show that both social and economic strategic goals are associated with the use of external information sources, but only the pursuit of social goals inspires firms to engage in external collaboration. No evidence is found of an inherent conflict between social and economic strategic goals. Instead, the two types of goals are independent of each other, that is, an emphasis on social goals does not preclude an emphasis on economic goals and vice versa. Moreover, firms’ external knowledge sourcing and innovation performance benefit most when strongly held social goals align with strongly held economic goals. These findings offer new insight into the nature and the effects of goal multiplicity among commercial firms. They open up a new perspective on the potential positive effects of the joint pursuit of social and economic strategic goals instead of seeing them as inherently conflicting, as past research has typically done. We illustrate how social strategic goals can deliver unique benefits to a firm, independently of and in addition to economic strategic goals. Our findings also contribute to the open innovation literature by revealing strategic goals as a driver of firms’ knowledge sourcing practices. Our findings suggest that solely emphasizing economic goals may be one reason why firms struggle to implement open innovation practices and do not reap their full benefits. The practical implications of our research are discussed.     

Preservation and exogenous uncertain future preferences

Summary. We extend the Beltratti, Chichilnisky and Heal's (1993) and (1998) continuous-time stochastic dynamic framework to analyze the optimal depletion of an asset whose consumption is irreversible, in the face of uncertainty about future preferences. Their model is rather general and so the results are general qualitative theorems. We show that in some interesting cases it is possible to solve their model analytically. The cases involve constant elasticity utility functions and the assumption of a Poisson process for the evolution of preferences. Received: September 13, 1999; revised version: November 23, 1999     

Decision neuroscience and consumer decision making

This article proposes that neuroscience can shape future theory and models in consumer decision making and suggests ways that neuroscience methods can be used in decision-making research. The article argues that neuroscience facilitates better theory development and empirical testing by considering the physiological context and the role of constructs such as hunger, stress, and social influence on consumer choice and preferences. Neuroscience can also provide new explanations for different sources of heterogeneity within and across populations, suggest novel hypotheses with respect to choices and underlying mechanisms that accord with an understanding of biology, and allow for the use of neural data to make better predictions about consumer behavior. The article suggests that despite some challenges associated with incorporating neuroscience into research on consumer decision processes, the use of neuroscience paradigms will produce a deeper understanding of decision making that can lead to the development of more effective decision aids and interventions.     

Risk and performance estimation in hedge funds revisited: Evidence from errors in variables

This paper revisits the performance of hedge funds in the presence of errors in variables. To reduce the bias induced by measurement error, we introduce an estimator based on cross sample moments of orders three and four. This Higher Moment Estimation (HME) technique has significant consequences on the measure of factor loadings and the estimation of abnormal performance. Large changes in alphas can be attributed to measurement errors at the level of explanatory variables, while we emphasize some shifts in the economic contents of the equity risk premiums by switching from OLS to HME.     

Strategic reward systems: a contingency model of pay system design

A limited number of studies have addressed the idea of ‘strategic’ reward systems—the matching of compensation systems to a firm's strategy. Prior research on this topic has been confined to U.S. firms, however, and a number of key questions remain unanswered. Using a sample of 917 employees from two large Swiss financial institutions, we found that pay systems are linked with divisional strategic orientation, but in a different form than prior studies. Additionally, we identify hierarchical position as an important variable in the tailoring of reward systems. Hierarchy has a significant main effect on pay plan design, and an interactive effect with strategic orientation. Copyright © 2001 John Wiley & Sons, Ltd.     

A large factor model for forecasting macroeconomic variables in South Africa

This paper uses large Factor Models (FMs), which accommodate a large cross-section of macroeconomic time series for forecasting the per capita growth rate, inflation, and the nominal short-term interest rate for the South African economy. The FMs used in this study contain 267 quarterly series observed over the period 1980Q1-2006Q4. The results, based on the RMSEs of one- to four-quarter-ahead out-of-sample forecasts from 2001Q1 to 2006Q4, indicate that the FMs tend to outperform alternative models such as an unrestricted VAR, Bayesian VARs (BVARs) and a typical New Keynesian Dynamic Stochastic General Equilibrium (NKDSGE) model in forecasting the three variables under consideration, hence indicating the blessings of dimensionality.     

Modeling approaches for the design of resilient supply networks under disruptions

This paper studies various modeling approaches to design resilient supply networks (SN) for the location-transportation problem under uncertainty. The future environment of the SN is shaped by random demands, and by disruptions perturbing depots capacity and ship-to-point demand processes. The paper proposes several stochastic programming models incorporating alternative resilience seeking formulations. A generic approach to model SN disruptions, and to elaborate and evaluate SN designs is also proposed. Experiments are made to compare the SN design models formulated, and recommendations are drawn on the approach to use to design effective and robust supply networks.     

Once were farmers: Occupation, social mobility, and mortality during industrialization in Saguenay-Lac-Saint-Jean, Quebec 1840–1971

We study men's adult mortality and longevity by socio-occupational status during industrialization in Saguenay-Lac-Saint-Jean, Quebec. Data were extracted from the BALSAC database (Université du Québec à Chicoutimi), which comprehensively traces the demographic history of the region since the beginning of the French Canadian settlement in 1840 up to the early 1970s. Using five occupational classes and controlling for year, age at marriage, urban/rural residence, and literacy, we found no evidence for the emergence of a socioeconomic gradient in mortality. At least until the early 1970s, mortality in the region is the lowest for farmers and appears to be driven by occupational risk rather than fundamental social causes.