An empirical examination of the effectiveness of dollar-cost averaging using downside risk performance measures

Some studies find the dollar-cost averaging investment strategy to be sub-optimal using a traditional Sharpe ratio performance ranking metric. Using both the Sortino ratio and the Upside Potential ratio, we empirically test four investment strategies for alternative asset investments. We find the relative ranking of dollar-cost averaging remains inferior to alternative investment strategies. (JEL G1, G11, N2)     

The Influence of Household Formation on Homeownership Rates Across Time and Race

Homeownership rates equal the number of households that own homes divided by the number of households in the population. Differences in the propensity to form a household, therefore, may contribute to changes in homeownership rates over time in addition to long-standing racial gaps in homeownership. We examine these issues on an age-specific basis using data from the 1970 to 2000 public use microsamples of the decennial census. Results indicate that lower headship rates tend to reduce homeownership rates. This pattern is most notable for individuals in their early and mid 20s. For these individuals, declining headship rates between 1970 and 2000 reduced homeownership rates by three to five percentage points. Moreover, 2000 African American headship rates narrow white–black gaps in homeownership by roughly three percentage points, whereas 2000 Hispanic headship rates widen white–Hispanic gaps in homeownership by two to three percentage points. Thus, controlling for differences in headship behavior, white–black homeownership gaps are somewhat more severe than previously recognized, but the reverse is true for white–Hispanic gaps.     

The Impacts of Remittances, Residency Status and Financial Attachment on Housing Tenure for Mexican-Heritage Americans: Inferences from a New Survey

Immigration has and will continue to alter the composition of housing demand in the United Sates. In this article, we analyze results from a new survey of Mexican-heritage households to draw some inferences about tenure choice within that group. Some measures of attachment to the United States—residency status and the amount of money sent to relatives and friends in Mexico—suggest that, among Mexican immigrants, permanence is a key determinant of homeownership in the United States. More specifically, being a citizen increased the probability of ownership, whereas being undocumented reduces the probability. Surprisingly, after controlling for residency status, length of tenure in the United States does not predict tenure status, except that those who refused to report length of tenure were more likely to have higher tenure status. Those who sent remittances home to Mexico were less likely to become homeowners.     

The Correct use of Confidence Intervals and Regression Analysis in Determining the Value of Residential Homes

This paper shows that (1) the principle of substitution has been misinterpreted in regression analysis on residential homes by the misuse of the confidence interval; (2) the proper confidence interval to judge the accuracy of the equation is the mean CI; and (3) the accuracy of the equation can be improved by applying factor analysis to the entire data set rather than a predetermined neighborhood. These results are illustrated in a sample of 571 residential sales in Northwest Arkansas during 1975. The data are divided into clusters, and a regression equation is computed for each. The results show that the mean confidence interval is the correct application of the principle of substitution. The correct decision rule to determine the superiority of the multi-equation or the single equation model compares the explained to the unexplained variation. These results should allow the appraiser to select properties that are better suited for comparison. This will improve the accuracy of the regression analysis and resulting estimates of property value.     

Factors that influence the length of industrial channels

This article is concerned with the length of channels utilized to market industrial products. Several marketing scholars have proposed that the appropriate channel structure is a function of conditions associated with the market for the product, the nature of the product itself, and characteristics of the producer and middlemen. By means of a survey of industrial product manufacturers, this study identified six characteristics of middlemen, industrial markets, and industrial customers that appear to be significant influences on the length of channels used to distribute industrial products.     

Measures used to evaluate industrial marketing activities

Given the importance of controlling marketing efforts, a study was conducted of industrial manufacturers to determine the extent of their use of various measures to evaluate different marketing activities. The predominate measures used for evaluation were sales volume with much less utilization of profitability, productivity, and expense measures.     

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.     

Two state capital accumulation with heterogenous products: Disruptive vs. non-disruptive goods

The paper considers the problem of a firm that, while producing a standard product, has the option to introduce an innovative product. The innovative product competes with the standard product and will therefore reduce revenues of the standard product. A distinction is made between innovative products that do or do not become even more relatively appealing as their market share grows (e.g., because of network externalities). It is shown that in the former case, which we call a “disruptive” good, history dependent long run equilibria can occur, which are in line with recent real life economic examples.     

Increasing returns and the share economy

Under imperfect competition, profit maximization by firms results in the market price exceeding the marginal cost of production; Weitzman terms this “excess supply” Weitzman wishes to replicate in the cost function (in terms of labor) the properties of the revenue function (in terms of output), thus generating “excess demand” for labor. A revenue-sharing scheme will achieve this if and only if there are decreasing returns to scale. Hence increasing returns apparently play no role in Weitzman's analysis.     

A Protected Areas Ecotourism Competitive Cluster Approach to Catalyse Biodiversity Conservation and Economic Growth in Bulgaria

This paper focuses on how small ecotourism and related supply chain businesses in gateway communities can be linked to protected areas by organising them into competitive clusters focused on their comparative advantages and uniqueness. It examines pilot project work in Bulgaria in small communities near the Rila and Central Balkan National Park. It shows how Bulgaria might develop its ecotourism potential by replicating this approach. The Bulgarian experience holds potential for replication in other protected areas and gateway communities using collaborative tools based upon lessons learned from the model sites and from ecotourism cases around the world, including: (1) developing an inclusive stakeholder group; (2) fostering education within gateway communities near protected areas; (3) strengthening the legal and regulatory framework; (4) expanding small and medium size enterprises (SMEs) and entrepreneurship opportunities; (5) expanding destination management capacity at the community level; (6) linking protected area sites to less visited areas; (7) implementing environmental management and certification programmes; (8) expanding financing for protected areas; (9) using the Internet for linking and branding the network; and (10) developing indicator or monitoring systems.