Dynamic Currency Linkages and Their Determinants: An Empirical Study for East Asian Economic Community Region

In this article, Copula GARCH models have been employed to study the inter-temporal process of currency market co-movements between ASEAN+6 countries (referred to in this study as East Asian Economic Community) and ASEAN+6 currency market index. Empirical results show that the sample countries of the region exhibit varying levels of currency co-movements with the Asian benchmark. Markov regime switching results show that many of the countries which had high dependences with the regional currency index as was found in copula estimations had also overlapping currency market cycles. Using Principal Component Analysis, we find that three statistical factors explain exchange rate co-movements which came out to be trade linkages, economic risk, and currency market openness in our dynamic panel data estimation.     

Role of quality management capabilities in developing market-based organisational learning capabilities: Case study evidence from four Indian business process outsourcing firms

Business-to-business marketing literature acknowledges the value firms, including business process outsourcing firms, realise through their supplier networks. Such value realisation is often possible through a dynamic exchange of complementary organisational capabilities between a firm and its network partners. However, little is known about how outsourcing firms develop these capabilities and thus realise value. This paper addresses an unexplored theoretical gap of developing market-based organisational learning capabilities in business process outsourcing firms. Using a capabilities lens, this study assesses the impact of quality management capabilities in developing market-based organisational learning capability. Findings from a case study of four business process outsourcing firms in India suggest that effective knowledge transfer, diffusion and the development of market-based organisational learning capabilities are contingent upon the strength of a firm's quality management capabilities. Implications for theory and practice are discussed.     

Gender and labor retrenchment in Chinese state owned enterprises: Investigation using firm-level panel data

In the late 1990s, China's state-owned enterprises (SOEs) underwent dramatic labor retrenchment, drawing considerable attention to how women fared relative to men during the retrenchment process. However, almost all the existing studies on the subject rely on individual-level data. In this paper, we study the gender patterns of SOE labor retrenchment using a unique enterprise-level dataset for the period from 1995 to 2001. We find that disproportionately large share of discharge was borne by female workers and that female discharge rates were more sensitive to output growth than male discharge rates. Further, estimating dynamic labor demand equations by gender, we find that female employment was more sensitive to negative output shocks experienced by enterprises than male employment but less sensitive to positive output shocks. Further, we find that sensitivity of female employment to output was greater for reformed than non-reformed enterprises and for male-intensive than female-intensive sectors. These results provide new insights into the gender patterns of employment adjustment of Chinese SOEs to output shocks during the retrenchment period.     

Optimal trade policy with quality-differentiated goods

In this article we apply the model of vertically differentiated products to international trade. A foreign firm competes with a domestic firm in the latter's market, producing products of varying quality. We examine the nature of the equilibrium in this case, assuming the firms compete in prices. Contrary to the popular belief, we show that a protectionist policy of imposing a tariff on the foreign firm raises overall welfare in the domestic economy, as well as induces the domestic firm to upgrade the quality of its product, if it produces the lower quality product. Furthermore, if minimum quality standards are imposed on the foreign firm, the domestic firm upgrades quality, and overall welfare in the domestic economy is higher.     

Fair welfare maximization

We consider the general problem of finding fair constrained resource allocations. As a criterion for fairness we propose an inequality index, termed “fairness ratio,” the maximization of which produces Lorenz-undominated, Pareto-optimal allocations. The fairness ratio does not depend on the choice of any particular social welfare function, and hence it can be used for an a priori evaluation of any given feasible resource allocation. The fairness ratio for an allocation provides a bound on the discrepancy between this allocation and any other feasible allocation with respect to a large class of social welfare functions. We provide a simple representation of the fairness ratio as well as a general method that can be used to directly determine optimal fair allocations. For general convex environments, we provide a fundamental lower bound for the optimal fairness ratio and show that as the population size increases, the optimal fairness ratio decreases at most logarithmically in what we call the “inhomogeneity” of the problem. Our method yields a unique and “balanced” fair optimum for an important class of problems with linear budget constraints.     

The risky business of hiring stars

With the battle for the best and brightest people heating up again, you're most likely out there looking for first-rate talent in the ranks of your competitors. Chances are, you're sold on the idea of recruiting from outside your organization, since developing people within the firm takes time and money. But the authors, who have tracked the careers of high-flying CEOs, researchers, software developers, and leading professionals, argue that top performers quickly fade after leaving one company for another. To study this phenomenon in greater detail, the authors analyzed the ups and downs of more than 1,000 star stock analysts, a well-defined group for which there are abundant data. The results were striking. After a star moves, not only does her performance plunge, but so does the effectiveness of the group she joins--and the market value of her new company. Moreover, transplanted stars don't stay with their new organizations for long, despite the astronomical salaries firms pay to lure them from rivals. Most companies that hire stars overlook the fact that an executive's performance is not entirely transferable because his personal competencies inevitably include company-specific skills. When the star leaves the old company for the new, he cannot take with him many of the resources that contributed to his achievements. As a result, he is unable to repeat his performance in another company--at least not until he learns to work the new system, which could take years. The authors conclude that companies cannot gain a competitive advantage or successfully grow by hiring stars from outside. Instead, they should focus on cultivating talent from within and do everything possible to retain the stars they create. Firms shouldn't fight the star wars, because winning could be the worst thing that happens to them.     

The effect of multi-purpose shopping on pricing and location strategy for grocery stores

Though it is a well-accepted fact that consumers indulge in multi-purpose shopping, most previous models of store choice assume that grocery shopping trips are single-purpose trips. This paper provides the first empirical analysis of multi-purpose shopping using data on actual shopping trips. A latent class factor analytic logit model is proposed, which provides a representation of the market structure of grocery store competition, while integrating; multi-purpose shopping, retail pricing format and location strategy. We conclude that incorporating multi-purpose shopping trips provides a better understanding of the competitive market structure, and discuss the managerial implications for the selection of marketing strategies.     

On someE-optimal block designs

Summary TheE-optimality of block designs is the concern of this paper. Bounds for the smallest positive eigenvalue of theC-matrix of block designs are obtained in some general classes of connected designs with equal or unequal block sizes. Use of these bounds is made to obtainE-optimal block designs in various classes.     

Binomial Option Pricing Biases and Inconsistent Implied Volatilities

We evaluate the binomial option pricing methodology (OPM) by examining simulated portfolio strategies. A key aspect of our study involves sampling from the empirical distribution of observed equity returns. Using a Monte Carlo simulation, we generate equity prices under known volatility and return parameters. We price American–style put options on the equity and evaluate the risk–adjusted performance of various strategies that require writing put options with different maturities and moneyness characteristics. The performance of these strategies is compared to an alternative strategy of investing in the underlying equity. The relative performance of the strategies allows us to identify biases in the binomial OPM leading to the well–known volatility smile . By adjusting option prices so as to rule out dominated option strategies in a mean–variance context, we are able to reduce the pricing errors of the OPM with respect to option prices obtained from the LIFFE. Our results suggest that a simple recalibration of inputs may improve binomial OPM performance.