EDHEC Business School

About: EDHEC Business School is a education organization based out in Roubaix, France. It is known for research contribution in the topics: Portfolio & Capital asset pricing model. The organization has 294 authors who have published 1749 publications receiving 42687 citations. The organization is also known as: Ecole des Hautes Etudes Commerciales du Nord & EDHEC Business School.

The Value Contribution of Strategic Foresight: Insights from an Empirical Study on Large European Companies

Abstract: This paper focuses on exploring the potential and empirically observable value creation of strategic foresight activities in firms. We first review the literature on strategic foresight, innovation management and strategic management in order to identify the potential value contributions. We use survey data from 77 large multinational firms to assess how much value is generated from formalized strategic foresight practices in these firms. We show that it is possible to capture value through an enhanced capacity to perceive change, an enhanced capacity to interpret and respond to change, influencing other actors, and through an enhanced capacity for organizational learning.

Capturing the Risk Premium of Commodity Futures: The Role of Hedging Pressure

Abstract: We construct long-short factor mimicking portfolios that capture the hedging pressure risk premium of commodity futures. We consider single sorts based on the open interests of either hedgers or speculators, as well as double sorts based on both positions. The long-short hedging pressure portfolios are priced cross-sectionally and offer Sharpe ratios that systematically exceed those of long-only benchmarks. Further tests show that the hedging pressure risk premiums rise with the volatility of commodity futures markets and that the predictive power of hedging pressure over cross-sectional commodity futures returns is different from the previously documented forecasting power of past returns and the slope of the term structure.

Mean-Variance Skewness Portfolio Performance Gauging:A General Shortage Function and Dual Approach

Abstract: This paper proposes a nonparametric efficiency measurement approach for the static portfolio selection problem in mean-variance-skewness space. A shortage function is defined that looks for possible increases in return and skewness and decreases in variance. Global optimality is guaranteed for the resulting optimal portfolios. We also establish a link to a proper indirect mean-variance-skewness utility function. For computational reasons, the optimal portfolios resulting from this dual approach are only locally optimal. This framework permits to differentiate between portfolio efficiency and allocative efficiency, and a convexity efficiency component related to the difference between the primal, non-convex approach and the dual, convex approach. Furthermore, in principle, information can be retrieved about the revealed risk aversion and prudence of investors. An empirical section on a small sample of assets serves as an illustration.