Optimal Dynamic Portfolio Selection: Multiperiod Mean‐Variance Formulation

The mean‐variance formulation by Markowitz in the 1950s paved a foundation for modern portfolio selection analysis in a single period. This paper considers an analytical optimal solution to the mean‐variance formulation in multiperiod portfolio selection. Specifically, analytical optimal portfolio policy and analytical expression of the mean‐variance efficient frontier are derived in this paper for the multiperiod mean‐variance formulation. An efficient algorithm is also proposed for finding an optimal portfolio policy to maximize a utility function of the expected value and the variance of the terminal wealth.     

Mean‐variance efficiency of the market portfolio and futures trading

We derived an intertemporal capital asset pricing model in which the mean‐variance efficiency of the market portfolio is neither a necessary nor a sufficient condition. We obtained this result by modeling a frictionless, continuously open financial market in which nonredundant futures contracts are available for trade, in addition to cash assets. Introducing such contracts modifies the way investors optimally allocate their wealth. Their portfolios then comprise the riskless asset, a perturbed mean‐variance‐efficient portfolio of cash assets, and a perturbed mean‐variance‐efficient portfolio of futures contracts. Furthermore, a (3 + K) mutual fund separation is obtained, with K being the number of economic state variables, in lieu of the usual (2 + K) fund separation. Mean‐variance efficiency of the market portfolio is a necessary condition only when cash assets are the sole traded assets. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:329–346, 2001     

A Quasi‐Analytical Pricing Model for Arithmetic Asian Options

We develop a quasi‐analytical pricing method for discretely sampled arithmetic Asian options. We derive an asymptotic approximation of the arithmetic average with the geometric average of lognormal variables. Numerical experiments show that the asymptotic approximation is accurate and the absolute error converges very quickly as the number of observations increases. The absolute error is of the order of 10^?5 to 10^?6 for daily average. We then derive quasi‐analytical formulas for arithmetic Asian options under the Black–Scholes framework, in which the probability density of the geometric average is used. Extensive experiments are conducted to compare the proposed method with the various existing semianalytical methods. The overall accuracy of the proposed method is better than any other methods tested. The proposed method performs much better than the second best one for at‐the‐money Asian options under high volatility. The mean pricing error of the proposed method for a daily average Asian option is 37.5% less than the second best one. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 33:1143–1166, 2013     

A Personality‐Competence Model of Opinion Leadership

Opinion leaders constitute a central consumer segment for targeted marketing strategies. By separating opinion leadership into a generalized and domain‐specific component, this study examines the psychological profile of N = 417 consumers from Germany and incorporates opinion leadership into a hierarchical framework of human personality. Results emphasize two major sources of domain‐specific opinion leadership (DSOL): personality in the form of a general, domain‐independent influencer trait and competencies in terms of product‐specific knowledge. Moreover, the study highlights a number of traits including the Big Five of personality, typical intellectual engagement, and general self‐efficacy that form a distinct personality profile of DSOL. The effects of these personality traits on DSOL are partially mediated by generalized opinion leadership and objective knowledge.     

A No‐Arbitrage Fractional Cointegration Model for Futures and Spot Daily Ranges

The no‐arbitrage relation between futures and spot prices implies an analogous relation between futures and spot daily ranges. The long‐memory features of the range‐based volatility estimators are analyzed, and fractional cointegration is tested in a semi‐parametric framework. In particular, the no‐arbitrage condition is used to derive a long‐run relationship between volatility measures and to justify the use of a fractional vector error correction model (FVECM) to study their dynamic relationship. The out‐of‐sample forecasting superiority of FVECM, with respect to alternative models, is documented. The results highlight the importance of incorporating the long‐run equilibrium in volatilities to obtain better forecasts, given the information content in the volatility of futures prices. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 33:77–102, 2013     

Norm Bounds and A Homographic Approximation for the Wage–Profit Curve

This paper provides lower and upper norm bounds for the wage–profit curve in linear single‐product systems. Thus, it also constructs an algebraically simple (i.e. homographic) and empirically powerful approximation to that curve. The results finally suggest that actual economies tend to behave as ‘corn‐tractor’ systems with respect to the shape of the wage–profit curve and, at the same time, behave as three‐industry systems with respect to the shape of the production price–profit rate curves.     

Distribution Channel Relational Cohesion Exchange Model: A Small‐to‐Medium Enterprise Manufacturer's Perspective

This study investigated the influence of dealers' expert, referent, and legitimate sources of power on small‐to‐medium enterprise manufacturers' relationship commitment in distribution channel systems. A theoretical model drawing on the relational cohesion theory and the extant marketing literature is developed and tested empirically using a sample data set of 452 from Zimbabwe. In this model, expert, referent, and legitimate powers are the predictors, whereas trust, cooperation, and relationship satisfaction are the mediators, and relationship commitment is the outcome variable. Analysis reveals that these three powers positively influence the mediators and outcome variable in a significant way, except for legitimate power to cooperation relationship. Managerial implications and future studies are suggested.     

Redistribution in a Neo‐Kaleckian Two‐country Model

We investigate the interaction between demand‐driven growth and income distribution in open economies, by combining expenditure‐switching and demand spillover effects in a neo‐Kaleckian two country model. First, we specify elasticities of wage share and real exchange rate to the money wage relative to labor productivity, in order to precisely describe the distributive pass‐through from money wages to the labor share and the real exchange rate. Second, we analyze the demand effects of an increase in the money wage for given labor productivity (a redistribution towards labor) in both Home and Foreign country, as well as globally. We derive closed form results for two identical countries. These results indicate that redistribution towards labor at Home: (i) always increases growth globally if Home is wage‐led, but can lead to lower growth at Home relative to Foreign; and (ii) will always imply lower growth at Home relative to Foreign if Home is profit‐led, but can still be growth‐enhancing at Home. Thus, to the extent that countries are concerned with their relative economic performance, a fallacy of composition can emerge. Numerical simulations suggest that these fallacies could indeed occur. As a consequence, ‘returns to coordination’ over international labor policies might be substantial.     

A Model of motivated cognition to account for the link between self‐monitoring and materialism

Drawing on previous theorizing about the development of materialistic values, a model of motivated cognition is proposed to account for the positive association between self‐monitoring and materialism. The model suggests that self‐monitoring is associated with individual differences in belonging motivation, that belonging motivation shapes people's beliefs about buying as a means of belonging within valued groups, and that buying‐is‐for‐belonging beliefs shape the degree to which people value wealth and luxury. Results from two studies supported this model and suggested that the self‐monitoring results are not better attributed to extraversion, social self‐confidence, or shyness. The proposed model emphasizes that traits associated with a strong need to belong may predispose people toward materialism. © 2007 Wiley Periodicals, Inc.     

Dividend‐Rollover Effect and the Ad Hoc Black‐Scholes Model

One of the most widely used option‐valuation models among practitioners is the ad hoc Black‐Scholes (AHBS) model. The main contribution of this study is methodological. We carefully consider three dividend strategies (No dividend, Implied‐forward dividend, and Actual dividend) for the AHBS model to investigate their effect on pricing errors. We suggest a new dividend strategy, implied‐forward dividend, which incorporates expectational information on dividends embedded in option prices. We demonstrate that our implied‐forward dividend strategy produces more consistent estimates between in‐sample market and model option prices. More importantly our new implied‐forward dividend strategy makes more accurate out‐of‐sample forecasts for one‐day or one‐week ahead prices. Second, we document that both a “Return‐volatility” Smile and a “Return‐pricing Error” Smile exist. From these return characteristics, we make two conclusions: (1) the return dependency of implied volatility is an important explanatory variable and should be controlled to reduce the pricing error of an AHBS model, and (2) it is important for the hedging horizon to be based on return size, that is, the larger the contemporaneous return, the more frequent an option issuer must rebalance the option's hedge. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 32:742‐772, 2012     

A Three‐Country Comparison of the Business Success versus Failure Prediction Model

Why do some businesses succeed and others end up bankrupt? There is great discrepancy in the literature as to which variables do in fact lead to success, thus, there currently is no theory. To move the field in that direction, this study tests the Lussier 15‐variable business success versus failure prediction model in Chile with a sample of 234 small businesses—131 failed and 103 successful. Results support the model's validity in Chile. Thus, the model has been tested with significant results in three very different parts of the world; first in United States (North America), then in Croatia (Central Eastern Europe), and now in Chile (South America). The model will reliably predict a group of businesses as failed or successful more accurately than random guessing in all three countries over 96 percent of the time.     

Task‐Relationship‐Self: A Framework for Understanding Service Encounter Behaviors

Research conducted over past decades has investigated selected service encounter behaviors from either a customer or service provider perspective. However, a comprehensive, dual‐perspective framework is lacking. Such a framework is needed to organize knowledge of these behaviors, and thereby provide structure, clarity, and parsimony to the field. This paper describes a three‐tier framework of service encounter behavior that was developed by applying grounded theory principles to interviews with customers, service employees, and other stakeholders. These informants described many ways in which they behave when executing service exchanges, dealing with service difficulties, and managing themselves in the process. Using an iterative inductive approach, a conceptual framework was developed in which specific (Tier 1) behaviors were placed within broader (Tier 2) categories, and these lower classification levels were, in turn, interpreted within a conceptual space defined by the (Tier 3) dimensions of task, relationship, and self. This framework was then elaborated and refined by reference to the psychology and marketing literature, a set of 157 audio‐recorded service interactions, and an expert panel study. The paper includes comparisons between the framework and those previously proposed, propositions regarding service encounter processes and outcomes, and implications for future research and practice.     

A copula‐based regime‐switching GARCH model for optimal futures hedging

The article develops a regime‐switching Gumbel–Clayton (RSGC) copula GARCH model for optimal futures hedging. There are three major contributions of RSGC. First, the dependence of spot and futures return series in RSGC is modeled using switching copula instead of assuming bivariate normality. Second, RSGC adopts an independent switching Generalized Autoregressive Conditional Heteroscedasticity (GARCH) process to avoid the path‐dependency problem. Third, based on the assumption of independent switching, a formula is derived for calculating the minimum variance hedge ratio. Empirical investigation in agricultural commodity markets reveals that RSGC provides good out‐of‐sample hedging effectiveness, illustrating importance of modeling regime shift and asymmetric dependence for futures hedging. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:946–972, 2009     

Super‐Connectors: A New Model of Internationalization from the MENA Region

The main purpose of this case‐based research is to investigate and analyze three fast‐growing airlines (Emirates/Dubai, Qatar Airways/Qatar, and Etihad Airways/Abu Dhabi) and their internationalization from the Middle East and North Africa (MENA) region. The three carriers that are commonly known as “super‐connectors” in the airline industry continue to excel in their business models and internationalization. Based on secondary data, surveys, and company‐specific information, the article uses a longitudinal case‐based research approach to discuss the three airlines. Findings of the work reveal that the three super‐connectors have aggressively expanded in the MENA region and beyond by seeking multiple alliances, joint ventures, long‐term collaborative agreements (code sharing), and foreign direct investment (FDI). These activities represent innovative business models and operational efficiencies in the global airline industry. We believe that non‐MENA airlines may not have the same dynamism, strategic clout, corporate‐related efficiencies, and financial prowess that we witness among the three super‐connectors. In international business (IB) and multinational corporation (MNC)‐related areas, researchers, industry analysts, and policymakers need to pay attention to the MENA region's super‐connectors and their emerging internationalization models. The article also provides useful trends and implications that can be benchmarked by practitioners, researchers, and airlines regarding the issues of internationalization, growth, and new business models. © 2015 Wiley Periodicals, Inc.     

A Reconsideration of Rent‐to‐Own

Rent‐to‐own agreements (RTO) are traditionally seen as disguised installment contracts imposed on uninformed consumers at usurious interest rates. After the flaws and omissions in these interest rate calculations are addressed, the implied annual percentage rates (APRs) remain extraordinarily high. It is shown that alternatives to RTO, such as layaway and long‐term rental, yield comparable APRs. The appeal of rent‐to‐own is then attributed to its structure that includes an initial pure rental phase of high value to persons in volatile financial and/or personal situations followed by an installment phase. Should these situations be resolved, the consumer exercises an imbedded option to acquire a perhaps otherwise unobtainable installment agreement at a competitive interest rate.     

Competing Risk Model for Technology Credit Fund for Small and Medium‐Sized Enterprises

Despite the need to foster a technology‐intensive industry, most Korean SMEs (small and medium‐sized enterprises) are faced with the difficulty of raising funds. To resolve this problem, the government set up the technology credit fund to give loans to enterprises that achieve a certain technology evaluation score. However, many of the recipient SMEs fail to pay back the loans for various reasons. In this paper, we distinguish two causes of default due to owner and company, respectively, using the competing risk model. The proposed prediction models for competing defaults are expected to contribute to the healthy management of technology finance.