Creative Destruction and Destructive Creations: Environmental Ethics and Planned Obsolescence

Three decades ago, planned obsolescence was a widely discussed ethical issue in marketing classrooms. Planned obsolescence is topical again today because an increasing emphasis on continuous product development promotes shorter durables replacement and disposal cycles with troublesome environmental consequences. This paper offers explanations of why product obsolescence is practiced and why it works. It then examines the ethical responsibilities of product developers and corporate strategists and their differing responses to this problem. Pro-environment product design and marketing practices and innovative government policies may alleviate the problem over time. However, given the current lack of understanding about consumer replacement and disposal behavior, it is questionable as to whether these practices and policies will be sufficiently informed to be effective. Thus, marketing scholars have a significant opportunity to contribute to sustainable durables product development.     

The Information Content of Model‐Free Implied Volatility

This study examines the information content of model‐free implied volatility (MFIV) estimates with respect to the options and futures markets in Hong Kong. In this study, the volatility forecasting performance of MFIV is compared, using different prediction horizons, to IV estimates based on Black's futures option pricing model (BIV) and time‐series forecasts based on historical volatility (TS‐HV). The results show that the BIV prediction is unbiased for different horizon forecasts. MFIV outperforms TS‐HV forecasts and, most importantly, BIV subsumes the information content of both MFIV and TS‐HV forecasts. The results are largely maintained for next‐day forecasts but the forecasting quality of the two IV measures declines as expiration day approaches. The information contents of MFIV and TS‐HV forecasts are complementary. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 32:792‐806, 2012     

Forecasting volatility: Roles of sampling frequency and forecasting horizon

This study empirically tests how and to what extent the choice of the sampling frequency, the realized volatility (RV) measure, the forecasting horizon and the time‐series model affect the quality of volatility forecasting. Using highly synchronous executable quotes retrieved from an electronic trading platform, the study avoids the influence of various market microstructure factors in measuring RV with high‐frequency intraday data and in inferring implied volatility (IV) from option prices. The study shows that excluding non‐trading‐time volatility produces significant downward bias of RV by as much as 36%. Quality of prediction is significantly affected by the forecasting horizon and RV model, but is largely immune from the choice of sampling frequency. Consistent with prior research, IV outperforms time‐series forecasts; however, the information content of historical volatility critically depends on the choice of RV measure. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

AN EMPIRICAL ANALYSIS OF BEN GRAHAM'S NET CURRENT ASSET VALUE RULE

This paper presents evidence that the net current asset value rule developed by Ben Graham in 1930 is still profitable in the 1970s and early 1980s. The abnormal gain is not due to future mergers because both the merged and nonmerged subsamples have positive and statistically significant returns in the post-event period.     

Junk bonds,life insurer insolvency,and stock market reactions: The case of first executive corporation

The First Executive Corporation was the largest failure in the history of the life insurance industry. The company was one of the most aggressive purchasers of junk bonds through the 1980s and was the first of several large failures in the staid life insurance industry. In this article, we examine the effect of First Executive's failure on the value of companies in the life insurance industry. We find that the price of other life insurance companies' stock is negatively affected by the earnings announcement that preceded First Executive's failure. The magnitude of an individual company's reaction to First Executive's loss varies according to the proportion of the company's assets invested in junk bonds, the proportion of the company's assests invested in real estate, and the financial strength of the company as measured by A.M. Best's rating.     

Allocation,externalities, and building value

Externalities generally are viewed as impacting land values rather than building values. Yet when locational obsolescence is attributed to externalities, the implication is that externalities impact primarily on building values. The presence of negative externalities generally does not determine whether a building suffers from locational obsolescence; the more general cause is a misallocation of land. At the market allocation, there is no locational obsolescence even in the presence of an externality, while at the optimal allocation only an externality can produce locational obsolescence. Because locational obsolescence can exist without externalities, an externality is not a necessary condition for locational obsolescence. Because an externality can be present without accompanying locational obsolescence, an externality also is not a sufficient condition for the existence of locational obsolescence.     

Rankings Methodology for International Comparisons of Institutions and Individuals: an Application to Economics in Australia and New Zealand

Abstract.  The objectives of this paper are threefold. First, we critically survey and analyse the different methodologies that have been adopted in the rankings literature. Second, using journal articles included in the ECONLIT database and on the basis of two criteria – one based on citations and the other on perceptions of journal quality, we rank economics teaching departments in Australia and New Zealand for 1988–2002 and 1996–2002 and for individual academic economists for the periods 1988–2002, 1988–1995 and 1996–2002. Furthermore, we identify individual star performers and recognize them in a designated 'Hall of Fame' for 1988–2002. Third, our methodology enables us to make international comparisons on total and per capita bases. Previous multi-country ranking studies in economics do not rank economics departments. They provide rankings based on total publications in economics in universities regardless of whether the economists are in the economics departments or in other departments. Thus, no rankings on per capita bases are provided. We correct this shortcoming by providing total and per capita rankings and analysing the correlations between total and per capita rankings. This is the first study to examine whether the size of the economics department matters with regard to productivity.     

VOLUNTARY DISCLOSURE OF SEGMENT INFORMATION: FURTHER AUSTRALIAN EVIDENCE

This study provides further empirical evidence on incentives for Australian firms to voluntarily report segment information. Various economic reasons why firms may elect to present segment information have been hypothesised in previous research. Bradbury [1992] and McKinnon and Dalimunthe [1993] found firm size, minority interest and industry membership as significant identifiable characteristics motivating voluntary segmental disclosure. Variables found to be insignificant in Bradbury [1992] which were not examined by McKinnon and Dalimunthe [1993] are tested in this paper. Hypotheses relating to size, financial leverage, assets-in-place, earnings volatility, ownership diffusion, outside equity (minority) interest, overseas association as well as diverse and mining and oil classification hypotheses are empirically examined. Univariate tests and multivariate logit analysis suggest that for a extensive sample of diversified firms, voluntary segment disclosure is significantly related to size, leverage and involvement in mining or oil activities.