The relationship between networks,institutional development,and performance in foreign investments

This paper empirically examines the relationship between the external business network of a country business unit (CBU) of a multinational firm, its performance, and the unique institutional characteristics of the foreign market in which it operates. We develop hypotheses about the CBU network structure associated with operating margin given different levels of institutional development, and the categories of network contacts associated with CBU operating margin. We test the hypotheses using social network analysis in 54 CBUs in two different business segments within one multinational company. Results show that the CBU network structure associated with higher operating margin depended partially on the level of the country's institutional development, and that network composition related strongly to CBU operating margin. We identify implications for research. Copyright © 2010 John Wiley & Sons, Ltd.     

Complete Models with Stochastic Volatility

The paper proposes an original class of models for the continuous-time price process of a financial security with nonconstant volatility. The idea is to define instantaneous volatility in terms of exponentially weighted moments of historic log-price. The instantaneous volatility is therefore driven by the same stochastic factors as the price process, so that, unlike many other models of nonconstant volatility, it is not necessary to introduce additional sources of randomness. Thus the market is complete and there are unique, preference-independent options prices.
We find a partial differential equation for the price of a European call option. Smiles and skews are found in the resulting plots of implied volatility.     

Measuring the performance of and tradeoffs within the triple bottom line

In this article, we use the data of Organization for Economic Cooperation and Development (OECD) trucking industry to illustrate a new analysis framework based on data envelopment analysis (DEA) using the concept of the triple bottom line to show the internal tradeoffs among economic, environmental and social issues within individual Decision Making Unit (DMU). We evaluate the various efficiencies of each national trucking industry by comparing it to its peers and develop indices that allow us to investigate the internal tradeoffs among the three areas of the triple bottom line. These measures help us understand how each country can choose to emphasize certain inputs and outputs to increase efficiency. The framework can be extended to other applications.     

The effects of tariff increases on supply base complexity: A conceptual framework

Recent protectionist trends around the world have raised interest in newly enforced or increased tariffs and their effects on global supply chains. For firms sourcing globally, tariff introductions or increases significantly affect importing costs, which ultimately affect product costs. Such tariff changes may incentivize firms to adjust their supply base to mitigate these cost increases, thus altering the structure and complexity of firms' supply bases. In this paper, we first characterize the U.S. tariff landscape from 1997 to 2017. We then develop a conceptual model to explain how the severity and timing uncertainty of expected tariff increases influence a firm's speed of adapting to the changing tariff environment. Specifically, we explore firms' propensity to form or delete ties to suppliers, which influences supply base complexity. Moreover, we consider factors that moderate the relationship between severity, timing uncertainty, and supply base complexity, including a tariff's geographical scope, a firm's relative purchase spend, and supply risk. Our conceptual model offers both research and managerial implications.     

Violent conflict and economic growth: Some time-series evidence

This paper uses time-series methods to examine interrelationships between growth and violent conflict in Sub-Saharan Africa. Results show bidirectional causalities, but the key determinant of conflict risk is prior conflict experience, not fluctuations in economic growth.     

Long-run income and price elasticities of demand for Colombian nontraditional exports: a multivariate cointegration framework

A long run income and price elasticities of demand is estimated for Colombian nontraditional exports through a multivariate cointegration analysis. Based on the combination of cointegration and exogeneity concepts and the inclusion of the complete dynamic system, the paper shows the existence of a long-run relationship among nontraditional exports, relative price and foreign demand, and higher long-run elasticities than those provided by the long-run cointegration vector coefficients that are usually reported in the trade literature.     

Modeling and Analysis of Reverse Logistics

Many modeling techniques have been developed to maximize the effectiveness and efficiency of forward logistics and supply chain management. As this article will illustrate, modeling techniques can be helpful in improving the management of reverse logistics as well. Companies and researchers are just beginning to appreciate the important differences between forward and reverse chains, and there is great opportunity to apply modeling methodologies to managing reverse logistics problems and issues. This article describes how modeling techniques can be utilized to improve reverse logistics processes and aid in solving real‐world reverse logistics problems. We focus on specific reverse logistics processes that firms, which sell products, are likely to address. In fact, the area of reverse logistics has broadened of late to include many activities that were not originally part of simply returning consumer products to a retailer. Herein, we present an overview of opportunities, where improved modeling efforts should be able to provide substantial benefits to supply chain professionals.     

The Dynamics of Industrial Clustering in Biotechnology

This paper is a study of the process by which industrial clusters form. It identifies the forces of attraction to new companies to a cluster in biotechnology in the U.S. as it grows. It uses a model of entry of new firms into the industry to measure the degree of attraction to those new firms of the presence of an existing cluster at a particular location. The paper finds that the main agent of attraction to new firms to enter the biotechnology industry is the presence of a strong science base at that location. This provides a greater magnet than the strength of any particular sector of the industry. In terms of attraction between different sectors within the industry, the paper finds that there is positive attraction and feedback between a group of sectors in the biotechnology industry – namely the therapeutics, diagnostics and the equipment/research tools sector. However in other sectors of the industry – chemicals, food and to some extent agriculture – there is much less attraction and interaction between them. This implies that clusters of firms tend to develop only in particular sectors of the industry and positive feedback mechanisms do not extend to other parts of the industry.     

Monte Carlo valuation of American options

This paper introduces a dual way to price American options, based on simulating the paths of the option payoff, and of a judiciously chosen Lagrangian martingale. Taking the pathwise maximum of the payoff less the martingale provides an upper bound for the price of the option, and this bound is sharp for the optimal choice of Lagrangian martingale. As a first exploration of this method, four examples are investigated numerically; the accuracy achieved with even very simple choices of Lagrangian martingale is surprising. The method also leads naturally to candidate hedging policies for the option, and estimates of the risk involved in using them.