Leadership competency inventory: A systematic process of developing and validating a leadership competency scale

This article reports psychometric evaluation of the Penn State Leadership Competency Inventory (LCI). The 32‐item LCI was validated on a sample of 323 managers in the health care industry. Preliminary validity and reliability evidence of the LCI was established through exploratory factor analysis (EFA), item‐total correlations, Cronbach's alpha coefficients, and confirmatory factor analysis (CFA). The four‐factor leadership competency scale, comprising supervisory and managerial competencies, organizational leadership, personal mastery, and resource leadership, accounted for 58% of variance. According to CFA results, the model fit of the four latent factors of the LCI was confirmed to be appropriate. Cross‐validation with other populations is needed to confirm the factor structure. Limitations and further research recommendations are discussed.     

The Antecedents and Consequences of Brand Prestige in Luxury Restaurants

The purpose of this study was to investigate the antecedents and consequences of brand prestige in luxury restaurants. Based on the existing theoretical background, it was proposed that four types of brand-related stimulus form brand experience in consumer memory and thus influence the formation of brand prestige. Through a review of the literature, it was also hypothesized that brand prestige can result in five managerial outcomes: patrons' well-being perception, information costs saved, perceived price fairness, satisfaction and behavioral intentions. Based on the theoretical relationships between the conceptual constructs, a model was proposed and then tested utilizing data collected from 527 luxury restaurant patrons. The results of data analysis indicate that two types of brand-related stimulus (sensory and intellectual) aid in the creation of brand prestige, and can thus help to: enhance patrons' well-being perception; reduce patrons' information searching efforts; and enhance perceived price fairness. As a result, patron satisfaction and positive behavioral intentions can be induced. The critical managerial implications of these findings are then discussed in the latter part of the article.     

How the Rapid Development of VoIP Technologies Affects Consumer Welfare and the Market

Abstract

The impact of Voice over Internet Protocol (VoIP) growth on other telecommunication services, such as landlines and mobile telephony, has gained significant interest in Korea recently. An emerging alternative to landline telecommunications, VoIP is experiencing explosive growth in demand and is providing significant economic utility to consumers. The rapid growth of smart phones has also created a considerable amount of controversy regarding the potential impact of VoIP on the mobile phone market. This study provides quantitative estimations of consumer surplus for landline, mobile and VoIP services in the Korean telecommunications market using monthly call data from January of 2006 to June of 2009, a period when VoIP services grew rapidly. Empirical analyses are conducted to estimate consumer surplus based on the demand functions of each telecommunication service. Additional analyses are conducted on consumer surplus change as well. Policy implications for the rapid growth of VoIP and its impact on consumer surplus change are also discussed.     

Simulating the Effects of Railroad Mergers

The purpose of this paper is to add to the empirical literature regarding merger simulation analysis by examining the effect of railroad mergers on railroad market power. This is done by measuring railroad profits and revenue/variable cost ratios corresponding to different degrees of intrarailroad competition for movements of Kansas export wheat to Houston, Texas. Two models are developed to achieve the objectives of the study. A network model of the wheat logistics system is used to identify the least cost transportation routes from the Kansas study area to the market at Houston. A profit improvement algorithm, which identifies Nash equilibrium prices, is developed to measure the amount by which railroads can profitably raise their prices above variable cost. The results of the study have implications for U.S. railroad merger policy. The paper indicates that railroad mergers do not necessarily increase railroad market power or make railroad shippers worse off. Instead, the study demonstrates that the impact of railroad mergers on shippers and railroads depends on factors that vary geographically, such as the degree of intrarailroad and intermodal competition in the area.     

Using Bayesian variable selection methods to choose style factors in global stock return models

This paper investigates the presence of global style factors in global equity investment. To this end, we apply Bayesian variable selection methods from the statistics literature to give guidance in the decision to include/omit factors in a global (linear factor) stock return model. Once we have accounted for country and sector, it is possible to see which style or styles best explains current asset returns. This study does not find compelling evidence for global styles as useful explanatory factors in a fixed parameter regression model, once country and sector have been accounted for.     

Hedging Housing Risk*

An unusually rich source of data on housing prices in Stockholm is used to analyze the investment implications of housing choices. This empirical analysis derives market-wide price and return series for housing investment during a 13-year period, and it also provides estimates of the individual-specific, idiosyncratic, variation in housing returns. Because the idiosyncratic component follows an autocorrelated process, the analysis of portfolio choice is dependent upon the holding period. We analyze the composition of household investment portfolios containing housing, common stocks, stocks in real estate holding companies, bonds, and t-bills. For short holding periods, the efficient portfolio contains essentially no housing. For longer periods, low-risk portfolios contain 15 to 50 percent housing. These results suggest that there are large potential gains from policies or institutions that would permit households to hedge their lumpy investments in housing. We estimate the potential value of hedges in reducing risk to households, yet yielding the same investment returns. The value is surprisingly large, especially to poorer homeowners.     

The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics

This paper investigates the role of stochastic volatility and return jumps in reproducing the volatility dynamics and the shape characteristics of the Korean Composite Stock Price Index (KOSPI) 200 returns distribution. Using efficient method of moments and reprojection analysis, we find that stochastic volatility models, both with and without return jumps, capture return dynamics surprisingly well. The stochastic volatility model without return jumps, however, cannot fully reproduce the conditional kurtosis implied by the data. Return jumps successfully complement this gap. We also find that return jumps are essential in capturing the volatility smirk effects observed in short-term options.

Intelligent Order Matching Systems for Commodity Markets

Automatic order matching systems have emerged as an electronic alternative to traditional markets. In current automatic order matching systems, price and quantity are the only product dimensions used for the order matching. However, a single-commodity market is made up of many heterogeneous goods which are close to each other but different in qualities and delivery conditions. Price and quantity are important but represent only parts of product attributes that commodity traders want to take into account. This study aims to extend current automatic order matching systems by diversifying product dimensions. An intelligent order matching system not only maximizes the total transaction volume based on the price and quantity but also satisfies traders' qualitative preferences over attributes other than price and quantity. The intelligent order matching mechanism combines an economic model with a preference model to incorporate both quantitative and qualitative utility of market participants. Constraint logic programming is investigated as a new information technology to structure and implement the intelligent order matching system.     

Option Trading and the Intervalling Effect Bias in Beta

Prior studies show that the beta coefficient of a security changes systematically as the length of measurement interval is varied. This phenomenon, which is called the intervalling effect bias in beta, has been attributed to the friction in the trading system that causes the delays in the price-adjustment process. This study shows that option listing is associated with a decline in the beta intervalling effect bias. The decline is most pronounced for small firms. We also find that our sample firms grow significantly after option listing. Since prior research indicates that market value is a major determinant of the magnitude of the intervalling effect, we re-examine our results using a subsample that controls for market value. The results indicate that the decline in the beta bias from the pre-listing to post-listing period is still prevalent after we control for the change in firm size. Overall, the evidence is consistent with the notion that option trading reduces the delays in the price-adjustment process, which in turn reduces the intervalling effect bias in beta.