Quantitative Methods for Evaluating the Unilateral Effects of Mergers

We describe the quantitative modeling techniques that are used in horizontal merger review for the evaluation of unilateral effects, and discuss how the 2010 Horizontal Merger Guidelines helped legitimize these methods and motivate scholarly research. We cover markets that feature differentiated products pricing, auctions and negotiations, and homogeneous products, in turn. We also develop connections between quantitative modeling and market concentration screens that are based on the Herfindahl-Hirschman Index (HHI).

     

The destination competitiveness of Kinmen's tourism industry: exploring the interrelationships between tourist perceptions,service performance,customer satisfaction and sustainable tourism

Based upon an empirical investigation, the study draws upon the responses of 1623 tourists in Kinmen to explore the notion of destination competitiveness and how it is related to customer satisfaction with tourists’ perceptions, service performance and destination competitiveness. It also considers the question of destination competitiveness and sustainable tourism development. Variables such as tourists’ pre-visit perceptions, post-visit satisfaction toward destination attractions and resources, willingness to recommend and revisit, and competitiveness with foreign destinations are tested. The results of the study suggest that there is no correlation between tourists’ overall satisfaction and destination competitiveness. Implications of the study outcome illustrate that a destination's unique tourism characteristics can be the most important variables for destination competitiveness. In Kinmen's case, battlefields, historic relics, beautiful scenery and travel security gave it a competitive edge, despite high prices. In addition, developing the destination's brand image was found to be critical for tourism marketers and authorities in the context of increasingly global tourism competition.     

Relationships of channel power, noncoercive influence strategies, climate, and solidarity: A real case study of the Taiwanese PDA industry

The management of channel relations has a significant impact on a firm's operational competitiveness; however, there is a lack of published research to better understand the linkages between channel relationships and channel power, noncoercive influence strategies, as well as channel climate and channel solidarity. This paper develops a model showing the linkages among these dimensions of channel relationships. Using linear structural relations (LISREL), a model of the Taiwanese personal digital assistant industry is developed to illustrate these interactions. The corresponding empirical test results indicate that channel climate has a significant impact on channel solidarity; however, this impact may be mitigated by both channel power and the use of noncoercive influence strategies. In addition, both mutual trust among channel members and continuity of the relationship have a positive influence on channel solidarity. Channel members with relatively more power appear able to determine the degree of channel solidarity through the use of effective noncoercive influence strategies.     

Investment with network externality under uncertainty

The purpose of this paper is to develop a real option model with a stochastic network size to simultaneously consider firm’s investment and household’s consumption behaviors in an equilibrium framework. First, the consumer’s waiting-to-buy effect is crucial in determining trigger network size of firm’s investment. Second, increasing network externality has an ambiguous effect on trigger network size of firm’s investment. Third, using NPV rule not only underestimates trigger network size but, also possibly results in the misleading relationship between network externality and trigger network size.     

Market Conditions and Abnormal Returns of IPO–An Empirical Study of Taiwan's High-Tech Companies

Four new determinants of initial/long-run IPO (initial public offering) returns from the perspectives of market conditions are proposed in this paper. The associated effects are examined by using the samples of Taiwan's high-tech IPO companies. Our empirical findings are consistent with the following notions. First, the four new determinants proposed perform remarkable effects on the IPO returns. Second, the length for IPO and IPO clustering phenomena has notable impacts on the long-run returns of IPO. In contrast, the performances of public stock markets show significant effects on the initial returns of IPO.     

Optimal Futures Hedging Under Multichain Markov Regime Switching

Most of the existing Markov regime switching GARCH‐hedging models assume a common switching dynamic for spot and futures returns. In this study, we release this assumption and suggest a multichain Markov regime switching GARCH (MCSG) model for estimating state‐dependent time‐varying minimum variance hedge ratios. Empirical results from commodity futures hedging show that MCSG creates hedging gains, compared with single‐state‐variable regime‐switching GARCH models. Moreover, we find an average of 24% cross‐regime probability, indicating the importance of modeling cross‐regime dynamic in developing optimal futures hedging strategies. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:173–202, 2014     

Trading platform,market volatility and pricing efficiency in the floor-traded and E-mini index futures markets

This study examines the pricing efficiency of E-mini and floor-traded index futures under electronic versus open-outcry trading platforms. By using OLS and quantile regressions to control for changes in market characteristics, we find that pricing errors are smaller in the E-mini markets than the floor-traded markets, thereby confirming that electronic trading has special attractions for arbitrageurs and informed traders. However, during periods of higher volatility, the advantages of speedier execution, anonymity and information efficiency may be offset by arbitrage risks; as a result, larger pricing errors are observed in the E-mini markets. We provide new evidence confirming the important roles in pricing efficiency played by both traditional open-outcry systems and electronic trading systems.     

Channel power, commitment and performance toward sustainable channel relationship

The primary purpose of this article is to expand our understanding of the sophisticated utilization of independent incentives and its influence on channel relationship commitment and performance toward sustainable channel relationship and competitive advantage. On the basis of a conceptual framework, this paper develops an analytical model to explore the correlations among channel power, relationship commitment and channel performance under the implementation of diverse independent incentives. The proposed model is empirically tested using LISREL and questionnaire survey data sampled from the liquid crystal display TV manufacturer-dealer channels of the optoelectronic industry in Taiwan. The results reveal that the sophisticated utilization of independent incentives through channel relationship commitment as the key mediator determines the channel performance; furthermore, relative to contractual incentives, relationship-building incentives appear to be more effective in promoting channel relationship commitment, thus leading to superior channel performance toward the ultimate goal of sustainable channel relationship management.     

Dynamic relief-demand management for emergency logistics operations under large-scale disasters

This paper presents a dynamic relief-demand management model for emergency logistics operations under imperfect information conditions in large-scale natural disasters. The proposed methodology consists of three steps: (1) data fusion to forecast relief demand in multiple areas, (2) fuzzy clustering to classify affected area into groups, and (3) multi-criteria decision making to rank the order of priority of groups. The results of tests accounting for different experimental scenarios indicate that the overall forecast errors are lower than 10% inferring the proposed method’s capability of dynamic relief-demand forecasting and allocation with imperfect information to facilitate emergency logistics operations.