Nonlinear dynamics and competing behavioral interpretations: Evidence from intra‐day FTSE‐100 index and futures data

Extant empirical research has reported nonlinear behavior within arbitrage relationships. In this article, the authors consider potential nonlinear dynamics within FTSE‐100 index and index‐futures. Such nonlinearity can be rationalized by the existence of transactions costs or through the interaction between informed and noise traders. They consider several empirical models designed to capture these alternative dynamics. Their empirical results provide evidence of a stationary basis term, and thus cointegration between index and index‐futures, and the presence of nonlinear dynamics within that relationship. The results further suggest that noise traders typically engage in momentum trading and are more prone to this behavior type when the underlying market is rising. Fundamental, or arbitrage, traders are characterized by heterogeneity, such that there is slow movement between regimes of behavior. In particular, fundamental traders act more quickly in response to small deviations from equilibrium, but are reluctant to act quickly in response to larger mispricings that are exposed to greater noise trader price risk. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:343–368, 2006     

Emotional and interpersonal competencies and leader development

A variety of recent leader development programs have focused on improving leaders' emotional and interpersonal competencies. Decades of leadership research suggest that these “people skills” are crucial for leader effectiveness. This paper reviews the history of these leader development programs as well as research on emotional and interpersonal competencies. Suggestions for grounding leader development programs in sound research on emotional and social competencies, as well as an agenda for future research on the development of leader emotional and interpersonal skills, are provided.     

Harmonizing the interests of a city and its region: Krasnoyarsk krai experience

The paper focuses on the emerging system of territorial strategic planning in the constituent entities of the Russian Federation and municipalities. Suggested for practical application are the best Russian research studies and practices of coordinating the interests of municipal and regional authorities. The analysis of scholarly approaches to the issue in focus allows one to infer that the best elaborated position is that of the staff of the North-Western Office of the Russian Research Center for Local Governance (RRCLG). As regards the express-analysis of practices adopted in the number of the Russian Federation constituent entities, the practices of the Krasnodar krai appear to be the most promising.     

Social Capital and the Terms of Trade for Farmland

Social capital is a person or group's sympathy for or sense of obligation to another person or group. This article introduces social capital into a neoclassical model of farmland exchange and shows how relationships alter the terms of trade. Empirical evidence from a survey of farmers shows that the type of relationship farmland sellers have with farmland buyers has a statistically significant and economically important effect on the minimum-sell price for farmland. Compared to the minimum-sell price when selling to a total stranger in an arm's-length transaction, farmland sellers discount prices to friendly neighbors and relatives and require a premium from unfriendly neighbors and influential people in the community.     

Hierarchical Arrow Social Welfare Functions

Supported by SNF Grant No: DMS 8803556.     

Japanese/U.S. technological competitiveness and strategic alliances in the biotechnology industry

This paper analyzes the reasons for Japanese/U.S. collaborations in the biotechnology industry, and considers the question of whether such alliances pose a threat to the North American industry. Japan's technological competitiveness in biotechnology is examined in terms of its strengths and perceived weaknesses. Ways in which Japan is attempting to overcome these weaknesses are identified. As well, the strengths and weaknesses of the North American biotechnology industry are assessed. The paper concludes with recommendations for government and R&D managers on how to preserve U.S. competitiveness. R&D managers must keep abreast of their techno-global competitive environments. While organizations can enter into alliances to improve their competitiveness they must be aware of the dangers of collaboration, and to benefit from their alliances they must enhance their organizational learning. Organizations must be aware of the pitfalls of alliance formation, and any alliance must be viewed in its national context. Last, but not least, managers must be more effective in their management of the processes of technological innovation.     

The Nested PIGLOG Model: An Application to U.S. Food Demand

A new demand system is introduced, the Nested PIGLOG model, nesting thirteen other demand systems including five that are also new. This new model and its nested special cases are applied to models of U.S. food demand that include food-at-home (FAH), food-away-from-home (FAFH), and alcoholic beverages. Although nested tests and out-of-sample forecasting performance favor generalizing models to a certain degree, statistically insignificant improvements to in-sample-fit and even poorer out-of-sample forecast accuracy undermine further generalizations. Based on a subset of preferred models, FAFH is found to be price and income elastic compared to FAH which is price and income inelastic.