The Variance Gamma Process and Option Pricing

A three parameter stochastic process, termed the variance gamma process, that generalizes Brownian motion is developed as a model for the dynamics of log stock prices. The process is obtained by evaluating Brownian motion with drift at a random time given by a gamma process. The two additional parameters are the drift of the Brownian motion and the volatility of the time change. These additional parameters provide control over the skewness and kurtosis of the return distribution. Closed forms are obtained for the return density and the prices of European options. The statistical and risk neutral densities are estimated for data on the S & P500 Index and the prices of options on this Index. It is observed that the statistical density is symmetric with some kurtosis, while the risk neutral density is negatively skewed with a larger kurtosis. The additional parameters also correct for pricing biases of the Black Scholes model that is a parametric special case of the option pricing model developed here.     

Cooperative R&D and the Value of the Firm

In this paper, we investigate the stock price responses of listed firms in the U.S. markets to announcements of R & D collaborations. We find that abnormal returns of stocks are significantly positive after R & D collaborations are announced. The positive stock price response towards the R & D cooperation initiations can be partially explained by the nature of the collaborations and the characteristics of the participating firms. We also find that the stock prices of rival firms respond negatively to announcements of R & D cooperation. This result seems to support the hypothesis that cooperative R & D improves economic efficiency of the cooperative firms that gain competitive advantage. We do not find evidence supporting the hypothesis that R & D cooperation creates collusive, anticompetitive effects in the product market.     

Reflections on the Structure and Origin of Pareto Income Distributions

The essay takes the reader on a voyage of exploration with the aim of discovering the origin of Pareto-curves. It shows with thought-experiments backed up by computer-simulation the generation of log-normal curves in detail. Extending forward this conceptual trajectory, it arrives via a quasi-Newtonian fluxion-insight – infinitessimal differential integration – at a novel mathematical concept: Pareto-curves are simply special log-normal curves where a large number of random-factors interacted and impacted at their genesis (the author called it the Kopp-effect).     

Does integrity matter for CSR practice in organizations? The mediating role of transformational leadership

Scholars have long debated whether leader's integrity affects managerial decision making with respect to social responsibility. In this paper, we propose a model in which transformational leadership mediates integrity and corporate social responsibility (CSR) and examine the relationship between these concepts. A survey of 170 senior managers from 50 organizations was conducted. Results indicate that integrity is a predictor of transformational leadership behavior and that transformational leaders’ behaviors are linked to CSR practices. It was also found that leaders rated with higher integrity are engaged in CSR because they exhibit more transformational leadership behaviors. These findings add to the extant literature by demonstrating that integrity is important as transformational leaders engage more actively on ‘responsible’ behaviors. Practical implications call for an understanding among corporate leaders of the benefits of integrity and how it relates to transformational leadership. Organizations can improve their selection and leadership development processes by focusing on these two dimensions.     

When Stress Frustrates and When It Does Not: Configural Models of Frustrated versus Mellow Salespeople

The purpose of this study is to elucidate the stress–strain relationship by examining compound causes of frustration in the workplace. Drawing on configuration theory, this article describes stress patterns, that is, configurations of role stressors and social stressors, and underlying frustration and its negation, that is, mellowness. In addition, this article describes potential sources of such frustration‐stimulating stress patterns by examining constellations of employee and task characteristics. Based on a sample of 118 salespeople, the authors analyze the data using fuzzy‐set Qualitative Comparative Analysis—an analytic method pertinent to describing configurational patterns of causal factors. The findings from this study indicate the coexistence of alternative patterns of stressors for frustration. In addition, the findings show that configurational patterns for frustrated salespeople are quite different from those characterizing mellow salespeople. In summary, knowledge of these constellations of stressors helps sales managers detect conditions that frustrate, and develop strategies to diminish these conditions in order to improve sales force performance.