R&D competition, absorptive capacity, and market shares

This paper deals with an oligopolistic industry where firms are engaged in cost-reducting R&D activity to maximize their market shares. The existence and uniqueness of a feedback-Nash-optimal R&D strategy for each firm are discussed. Our simulations highlight that variations in spillovers hardly influence the firms' R&D investment, if their absorptive capacities to exploit extramural knowledge depend on their R&D efforts. Moreover, extramural knowledge cannot completely replace in-house R&D. However, a high level of public R&D favors the firm with the most restrictive R&D expenditure constraint and/or with the lowest initial R&D stock, provided it invests in R&D.     

Social and Political Risks: Factors Affecting FDI in China's Mining Sector

Political risk can be defined as the potential for uncertainty and harm to business/economic operations that arise from political (governmental and other) behavior and events. These risks typically stem from factors such as economic structures, government institutions, policies, and societal characteristics, and are becoming more of a concern to prospective investors in a changing global political economy. This article seeks to expand upon the framework of political risk analysis by looking at “softer,” nonquantifiable risk factors. Through the analysis of foreign business experiences in China, we aim to demonstrate, via a qualitative case study of foreign direct investment (FDI) in the Chinese mining sector, that in addition to typical financial, operational, and geological factors, firms should be better aware of the particular sociopolitical and cultural risks that can harm their investments in a given industry. This study draws on primary fieldwork, focuses on micropolitical risks to the industry, and stresses that multinational corporations (MNCs) could be more cognizant of the many societal factors that can influence an investment success. © 2016 Wiley Periodicals, Inc.     

A continuous-time heterogeneous duopoly model with delays

In this paper, the continuous-time version with delays of the model of Tramontana (Econ Model 27(1):350–357, 2010) is presented. The stability of the equilibrium point is discussed by analyzing the distribution of roots of associated characteristic equation. It is found that combining marginal costs with time delays gives rise to different economic scenarios, where stability switches may appear and Hopf bifurcations occur within certain range of parameters.     

Cost Reduction,Competitive Pressure and Firms' Optimal R&D Strategies in a Duopolistic Industry

This paper deals with a duopolistic industry where firms are engaged in cost-reducing R&D activity in order to maximize their market shares. Firms' R&D competition is characterized as a dynamic noncooperative feedback game where the optimal strategies are affected by the extra-industry R&D activity and the degree of intra-industry spillovers. Numerical simulations highlight the importance of the assumptions on the firms' absorptive capacity (to exploit external knowledge) in determining the optimal levels of firms R&D investrnents.     

Uncertainty about fundamental,pessimistic and overconfident traders: a piecewise-linear maps approach

Decisions in Economics and Finance - We analyze a financial market model with heterogeneous interacting agents where fundamentalists and chartists are considered. We assume that fundamentalists are...     

Assessing skewness in financial markets

It is a matter of common observation that investors value substantial gains but are averse to heavy losses. Obvious as it may sound, this translates into an interesting preference for right-skewed return distributions, whose right tails are heavier than their left tails. Skewness is thus not only a way to describe the shape of a distribution, but also a tool for risk measurement. We review the statistical literature on skewness and provide a comprehensive framework for its assessment. Then, we present a new measure of skewness, based on the decomposition of variance in its upward and downward components. We argue that this measure fills a gap in the literature and show in a simulation study that it strikes a good balance between robustness and sensitivity.