Another Take on Real Estate's Role in Mixed‐Asset Portfolio Allocations

This article examines real estate's role in institutional mixed‐asset portfolios using both private‐ and public‐real estate indices, as a means of examining varying real estate‐related risk/return opportunities. In so doing, this article also examines the effects of: (1) increasing the investment horizon, (2) placing constraints on the maximum allocation to any one asset class, and (3) varying the risk preferences of investors. The empirical results suggest—using infinite‐horizon returns and all of the caveats that accompany such a perspective—that real estate allocations of approximately 10–15% of the mixed‐asset portfolio represent an upper bound for most investors. For those investors preferring low‐risk portfolios, (unlevered) private real estate is the vehicle serving this allocation preference; for those investors preferring high‐risk portfolios, public real estate (with its embedded leverage of 40–50%) is the vehicle serving this allocation preference—with such vehicles serving as substitutes for a variety of noncore real estate strategies. In some sense, the distinction between private and public real estate is more about the use of leverage. For those investors preferring moderate‐risk portfolios, an intermediate‐leverage approach seems optimal.     

Ecological integrity as an economic variable: An application to forested landscapes in the southern United States

Ecological integrity is important to fully describe the development of an economy. We calculated an aggregate index that quantifies the closeness of a forested region to a natural state. This naturalness index was based on the diversity of native tree species and sizes for ecological subregions in a seral condition. The index used the spatial–temporal array of sample plots from the Forest Inventory and Analysis (FIA) database of the USDA Forest Service. In the 70 survey units of the southern US between 1961 and 2005 the naturalness of forests generally improved with per capita personal income and population. The increase with income was consistent with the hypothesis of an environmental Kuznets curve for forested landscapes.     

Traffic evacuation time under nonhomogeneous conditions

During many manmade and natural crises such as terrorist threats, floods, hazardous chemical and gas leaks, emergency personnel need to estimate the time in which people can evacuate from the affected urban area. Knowing an estimated evacuation time for a given crisis, emergency personnel can plan and prepare accordingly with the understanding that the actual evacuation time will take longer. Given the urban area to be evacuated, street widths exiting the area's perimeter, the area's population density, average vehicle occupancy, transport mode share and crawl speed, an estimation of traffic evacuation time can be derived. Peak-hour traffic data collected at three, midblock, Mumbai sites of varying geometric features and traffic composition were used in calibrating a model that estimates peak-hour traffic flow rates. Model validation revealed a correlation coefficient of +0.98 between observed and predicted peak-hour flow rates. A methodology is developed that estimates traffic evacuation time using the model.     

Firm Efficiency Differences and Distribution in the Kenyan Manufacturing Sector

Abstract: This article provides empirical evidence on technical efficiency differences and efficiency distribution for three Kenyan manufacturing subsectors, namely food, metal and textile, using an unbalanced panel data covering two periods. Econometric production frontiers are estimated for each subsector in each period. The confidence predictions for these efficiencies were, however, found to be quite wide. The results indicate variation of technical efficiency estimates of the sampled firms in each period. The technical efficiency distribution for each subsector changed not only in relation to itself, but also in relation to the other subsectors across the two periods of analysis. The efficiency distribution of the firms for both food and textile (metal) subsectors improved (declined) during the study period but with the food subsector firms remaining relatively inefficient. The improvement of the technical efficiency distribution for both the textile and food subsectors is an indication of intra‐plant improvement during the period of analysis. The decline of the technical efficiency distribution for the metal subsector suggests that the market orientation during the structural reform period did not promote firm efficiencies or the firms were slow in responding to the reforms.     

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     

The effect of institutional quality on firm export performance in emerging economies: a contingency model of firm age and size

It is widely accepted that countries with sound formal and informal institutions create more robust environments for firm performance. However, due to the liabilities faced by firms without available slack and/or market power, we contend that institutions are especially important for new and small firms. Unfortunately, there is little research examining the potential moderating effect of firm size or age on the relationship between institutional quality and export performance. In response, we hypothesize that institutional quality will be more important to increasing the export performance of new and small firms compared with their large, established counterparts. We test our hypotheses using data from the World Bank’s World Business Environment Survey. The results of our analyses offer support for our model, although some institutional variables appear to be more important to export performance than others. We conclude by discussing the implications of our results.