Secured debt and managerial incentives

Financial theory holds that firms can control agency costs through the use of short-term and secured debt. We examine the relation between the use of secured debt and the incentive of the manager to increase the risk of the firm, as measured by vega. We find that firms utilize secured debt to a lesser extent when managerial volatility sensitivity is higher. Our results suggest that these same firms employ short-term debt as the primary tool to control risk-shifting. Managers with a high risk appetite avoid secured debt, but appear to do so without compromising the interests of the shareholders.     

The Ethics of Counterfeiting in the Fashion Industry: Quality,Credence and Profit Issues

One of the greatest problems facing luxury goods firms in a globalizing market is that of counterfeiting. The purpose of this paper is to analyze the different types of counterfeiting that take place in thefashion industry and the ethical issues raised. We argue that the problem partly lies in the industry itself. Copying of designs is endemic and condoned, which raises several ethical dilemmas in passing judgment on the practice of counterfeiting. We analyze the ethical issues in a number of different types of counterfeiting encountered in the fashion industry. We conclude with some observations on the general implications for ethics in intellectual property rights.     

When do B2B brands influence the decision making of organizational buyers? An examination of the relationship between purchase risk and brand sensitivity

The dominant perspective on organizational buying behavior suggests that buyers tend to rely on objective criteria when making product choice decisions and that the potential influence of subjective cues, such as brands, on buyer decision making decreases with increasing risk. An alternative perspective, confirmed in this study by in-depth interviews with various managers, suggests that brands serve as a risk-reduction heuristic, whereby the influence of brands on decision making increases as a function of risk. Building on risk and information processing theories, this research builds on these complementary perspectives to propose that risk and brand sensitivity relate in a U-shaped manner, where brand sensitivity is highest in relatively low- or high-risk situations. The results of scenario- and survey-based field studies—involving 206 and 180 members of buying centers, respectively—suggest that both perspectives have merit and support the proposed nonlinear relationship. Moreover, the findings reveal that the risk-brand sensitivity relationship is moderated by competitive intensity, such that the linear (negative) and quadratic (positive) effects are stronger when competitive intensity is low.     

Has the productivity of retail food stores really declined?

Despite the fact that other factors of production have been substituted for labor, and that scanner technology has come into widespread use, the BLS index of labor productivity for retail food stores has been declining for sometime. The purpose of this paper is to study this puzzling decline in measured productivity. The results indicate that the decline in the BLS index is due to changes in services offered by retail food stores that are not incorporated into the index, and that productivity increased if these services are accounted for.     

Incorporating choice dynamics in models of consumer behavior

This paper presents a framework for organizing and discussing factors influencing consumer choice dynamics, how these factors may be incorporated into models of buyer behavior and problems that may arise in estimating such models. The paper identifies research issues and delineates possible approaches. Proceedings of Session on Choice Dynamics at the Banff Symposium on Consumer Decision-Making and Choice Behavior. All authors share equally in content and remaining errors.     

Mapping the university technology transfer process

Transfer of technologies from the universities to the private sector is increasingly regarded as playing a significant role in new business starts, growth of existing businesses, and new job creation. Further, there are monerous models describing the process of technology transfer. Some of the existing models represent this process as a linear progression of steps: from idea generation and technology development at the university, to patenting the technology and then establishing a university-private firm link through a formal search process. The process culminates in patent rights transfer. Other models describe technology transfer in terms of networking arrangements and emphasize not so much formal search as the role of long-term relationships between the two parties. Still other studies indicate that it is possible to combine the two approaches—formal search and informal networking arrangements—to ensure successful transfer.Business firms involved in transfer also may be classified into several groups. Transfer could occur between the university and an established firm, between the university and a recently created new venture, or transfer could result in the creation of a new company. Technology, for example, could be transferred to a large company that uses the transferred technology as a basis for just one of many product lines, or to a small firm that makes the transferred technology a cornerstone of its product strategy.Are there any differences among the transfer processes used when large or small firms are involved, or when technology is transferred to an existing company, or results in the creation of a new firm? To address these questions, we mapped the technology transfer processes of 23 different technologies developed at the University of Minnesota from 1983 to 1993.More than half of the technologies studied went to large companies and were used either to upgrade existing products or to extend existing product lines. In eight cases technologies were transferred to small firms. In three cases technologies were transferred to venture capital firms or intermediaries and had not been commercialized at the time the study was completed. In the rest of the cases new firms were created by the inventors/university scientists themselves and served as vehicles for marketing their inventions. None of the firms of the latter group have grown beyond a part-time employment opportunity for the inventors, and only one firm provided evidence that additional hiring would be necessary in the near future.Only four cases involved transfers of technologies that have been developed and patented by the university to firms that did not have any relationships with the university prior to the transfer. In these four cases the firms used some form of search strategy to find a needed technology. However, there is no evidence that any of the firms had a well-developed formal search procedure. In the overwhelming majority of cases some form of relationship existed between the university (or individual inventors) and the private firm prior to the transfer. These relationships ranged from long-term friendships and/or cooperation to such less involved forms as interaction at research seminars and university-sponsored events. Further, in four cases, the technologies were initially developed by private companies, whereas the university's role was to assist in refinement or testing of the technology.The research yielded a number of additional findings that deserve further investigation and discussion. Specifically, the study did not provide any evidence that the successfully completed technology transfers made any substantial contribution to either new business creation or the generation of new jobs. This finding suggests that scholars and policy makers should proceed with caution before accepting a notion that new or high technology firms will have any direct economic impact.The study findings hold specific implications for entrepreneurial behavior and public policy. The “formal search and shopping” for a technology model suggests that both business and academic/government laboratories publicize, respectively, their requirements and offerings, and that opportunities for creative brokerage ought to exist. We found that in the majority of cases technology was transferred not through formal search, but through some prior relationships among individuals. This observation suggests that the ability to build extended networks of relationships not only within the business world but also with the university community is an important skill that owners and managers of the technology-based businesses need to possess. Entrepreneurs seeking to start businesses based on new technologies may need to reevaluate how much of their limited time to allocate to build and maintain networks and cooperative relationships, and how much time to shop for new technologies through formal channels. Further, public policy and the efforts of the university transfer agencies intended to facilitate transfer may need to shift their emphasis from facilitating “shopping” by organizing and/or paying for “publicity” (which is currently the major emphasis) to providing assistance in network building and relationship marketing efforts.     

蒙多塞诺之旅

从地理上看,它更像美国东海岸的一座度假村;而从时间上看,它依然保留着过去50年里的种种风尚酒乡纳帕山谷 (www．napavalley．com) 尽管圣塔芭芭拉(Santa Barbara)地区、西雅拉(Sierra) 丘陵地带乃至中央山谷(Central Valley)占据了加州产酒区的大半壁江山,但只有旧金山以北的纳帕山谷(Napa Valley)才真正配得上加州酒乡(California     

The dark side of financial innovation: A case study of the pricing of a retail financial product

The offering prices of 64 issues of a popular retail structured equity product were, on average, almost 8% greater than estimates of the products' fair market values obtained using option pricing methods. Under reasonable assumptions about the underlying stocks' expected returns, the mean expected return estimate on the structured products is slightly below zero. The products do not provide tax, liquidity, or other benefits, and it is difficult to rationalize their purchase by informed rational investors. Our findings are, however, consistent with the recent hypothesis that issuing firms might shroud some aspects of innovative securities or introduce complexity to exploit uninformed investors.     

Can broker-dealer client surveys provide signals for debt investing?

We use a novel data set to study return predictability in debt markets. The data are collected from J.P. Morgan’s periodic surveys on its clients’ outlook for changes in US Treasury yields and corporate credit spreads. We document that simple signals constructed from such surveys predict excess returns on debt portfolios formed on the basis of duration (2-years minus zero) or credit quality (BBB minus AAA). A linear trading strategy placing equal weight on Treasury and Credit signals has an annualized Information Ratio equal to 1.18, before transaction costs. We also show that predictability is likely to stem from private information possessed by survey respondents rather than from risk premia.