Residential Mortgage Lending and Borrower Risk: The Relationship Between Mortgage Spreads and Individual Characteristics

The mortgage banking environment in Hong Kong is quite different from that in the United States. For example, the secondary mortgage market and mortgage insurance only started after 1997. Using a large data set on mortgages, we examine empirically how mortgage rates in this market vary with various individual borrower, property, and loan characteristics. We find that mortgage rates in Hong Kong do vary with individual characteristics, which suggests credit sorting according to both prepayment risk and default risk, as a higher mortgage rate is found to be related to either higher collateral (a lower loan-to-value ratio) or slower prepayment. The empirical results suggest that lenders in Hong Kong can observe the risk type of individual borrowers to a certain extent and charge a corresponding mortgage spread. Overall, the evidence is consistent with the sorting-by-observed-risk paradigm as in Berger and Udell (1990).     

The impacts of country characteristics upon the value of information technology as measured by productive efficiency

Based on the theory of production, this paper investigates information technology (IT) contribution at a country level by linking it to the complementarity/substitutability phenomena created by the joint presence of IT and the five selected national characteristics. It negates the relationship between IT value and productivity based on a comprehensive panel data set from 25 countries over the period 1997-2006, when the individual analytical method is applied and productive efficiency is used as the performance criterion. The IT productivity paradox is re-examined under the one-equation stochastic frontier production model, while the influence of the five national characteristics is tested under the two-equation stochastic frontier production model. The findings include the following: (i) The IT productivity paradox occurs in not only middle-income (developing) countries but also high-income (developed) countries. (ii) Eastern European countries gain more productive efficiency than the G7 countries when IT is considered as a production factor. (iii) Different national characteristics have impacts on a country's output and productive efficiency. (iv) The chosen national characteristics present both complementarity and substitutability phenomena in association with IT investment, however, the joint presence of national savings and IT creates the substitutability phenomenon across different frontiers. (v) In linking cross-country differences in the IT investments to stages of economic development, our complimentary qualitative analysis tends to conclude that the investments in IT in the advanced developed countries (e.g., G7) and some of the newly developed or emerging economies are likely needed to keep the pace with other competitors and maintain their status of economic development; and the IT investments in the Eastern European countries are necessary to reach the competitive level as well as to raise their economic-development level. (vi) An important policy implication is that policy makers must carefully utilize national characteristics while formulating IT investment strategies.     

Does Consumers' Feeling Affect Their Quality of Life? Roles of Consumption Emotion and Its Consequences

Emphasizing the importance of attendees' consumption emotion, this study investigates the impact of festival attendees' consumption emotion on their psychological outcomes such as satisfaction, perceived quality of life and loyalty toward the festival. Structural equation modeling is used to test the dynamics of festival attendees' consumption behavior and its consequences. Results of this study indicate that festival attendees' emotional behavior has a positive relationship with their overall satisfaction, which is identified as a key predictor for their loyalty and quality of life. The study's theoretical contributions and practical implications are discussed in detail along with its limitations. Copyright © 2014 John Wiley & Sons, Ltd.     

The Impression Management Techniques of Tour Leaders in Group Package Tour Service Encounters

For group package tour settings, tour leaders may consciously or unconsciously utilize impression techniques to interact with groups. This study examines the impression behaviors of tour leaders based on a framework of five discrete techniques of impression management (ingratiation, self-promotion, exemplification, supplication, and intimidation). The findings of this study indicate the impressions of tour leaders as perceived by tourists can influence the personal interaction quality. Furthermore, the personal interaction quality can subsequently influence the repurchase intention of tourists, word-of-mouth communication, as well as the reputation of tour operators. The implications for tour operators and directions for future research are also discussed.     

An empirical study on the effects of an enterprise fan page

Most major enterprises have invested in social networking to provide services, promote products, or communicate with customers. However, to date, no clear understanding on the effects of social networks on business performance has emerged. This study examines the relationship between the capability of the enterprise to manage social networks and the resultant benefits of their investing in the social network. A fan page on Facebook is the selected target of study. By analyzing the effort required to manage a fan page, we measured the fan-page managing capability by its number of fans. Then, we proposed six hypotheses for empirical examination of the causal relationship between enterprises’ social network managing capability and business benefits. The study applied two-stage data collection and testing. The first stage is to build a general understanding of the relationship between the number of fans and business revenue. Based on findings of the first stage, the study tested the hypotheses on selected global firms and sought patterns of benefits generated from the fan page. This study builds deep understanding from various aspects about fan-page effects on enterprises, and proposes that firms that provide products and services with characteristics of low-product price, short-product durability, and low-customer involvement are empirically influenced by the management of their fan pages.     

Exploring the drivers of customer engagement behaviours in social network brand communities: towards a customer-learning model

Customer learning is regarded as a process that alters either individual cognition or the outcomes of socialisation. Understanding how the learning process works enables a brand firm to identify a customer’s latent needs. Prior studies have primarily focused on effectively positioning brand knowledge in the minds of customers, but that linear learning process does not apply to the interactive and proactive social media setting. Based on the uses and gratifications perspective, this study proposes a customer-learning model and analyses 373 online questionnaires using partial least squares structural equation modelling. The empirical results confirm that learning motivation and collaborative learning are two core components of customer learning that have positive influences on satisfaction, which in turn has a positive influence on customer engagement behaviours (CEBs) and loyalty. In addition, learning motivation is the driver of collaborative learning. Finally, CEBs also have a positive influence on loyalty. This study also concludes that the social network brand community is an informative customer-learning platform that is characterised by interactivity, collaborative learning and co-creation. Theoretical and managerial implications are also discussed.     

Is what you choose what you want?—outlier detection in choice-based conjoint analysis

Choice-based conjoint (CBC) analysis has long been a popular technique in market research. Because CBC is dependent upon respondents’ stated preferences, respondent variability should be taken into account in part-worth estimation. In the spirit of Bayesian residuals within the probit framework, this paper proposes a novel respondent variability measure for CBC, called the “utility deviation” (UD), to detect outliers who have unusually high respondent variability. UD is constructed based on the standardized deviation between a respondent’s true and representative utilities on the made choices. We compare UD with the largest absolute realized deviation (LARD) statistic and the typically used metric, root likelihood (RLH), in the performance of outlier detection using simulated and empirical data. The results show that UD performs slightly better than LARD and significantly outperforms RLH. Finally, we show that performing outlier detection to exclude misleading data can significantly improve the quality of estimation and resultant applications.     

Illustrations of financing and tax transfers in owner financed real estate sales

The dramatic increase in seller or creative financing in the late 1970s and early 1980s has captured the attention of many academicians and practitioners. The primary focus in the existing literature is on explaining differences in loan terms between creative financing and conventional financing and on how these differences are capitalized into sale prices. This paper investigates the role of financing opportunity costs and federal income taxation and their consequences on real estate financing. Illustrations of the model show the feasibility of interpersonal financing transfers (between buyers and sellers) and intertemporal tax transfers (across time periods).     

Price clustering in E‐mini and floor‐traded index futures

This article sets out to investigate price clustering in both the open‐outcry (floor‐traded) and electronically traded (E‐mini) index futures markets of the DJIA, S&P 500, and NASDAQ‐100 indices. The results show that although price clustering is ubiquitous in both the floor‐traded and E‐mini index futures markets, it nevertheless tends to be higher for open‐outcry index futures, with the clustering in floor‐traded NASDAQ‐100 index futures demonstrating the highest level (97%) at zero digits. A significant increase was also found in price clustering in floor‐traded index futures after the introduction of E‐mini futures trading. The results tend to suggest that those trading mechanisms that involve higher levels of human participation, such as the open‐outcry markets, may well lead to increased incidences of price clustering. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26: 269–295, 2006     

Determinants of Cross-Border Intellectual Property Rights Enforcement: The Role of Trade Sanctions

With growing trade in a global economy, the desire for trade protection becomes increasingly important. One aspect of trade protection that has risen to the forefront is the protection of intellectual property rights (IPR) across national borders. This article analyzes the determinants of U.S.-filed investigations for alleged IPR cross-border violations using the complete set of Section 337 investigations conducted by the U.S. International Trade Commission (USITC). By analyzing political, institutional, and economic variables in an industry-level model, we find evidence that investigations are more frequent in industries that face intense import competition among IPR-protected goods. In addition, greater technology access to U.S. patents by respondent firms is found to increase filings, especially in countries where corruption levels are higher.