Manipulation in U.S. REIT Investment Performance Evaluation: Empirical Evidence

We investigate whether Real Estate Investment Trust (REIT) managers actively manipulate performance measures in spite of the strict regulation under the REIT regime. We provide empirical evidence that is consistent with this hypothesis. Specifically, manipulation strategies may rely on the opportunistic use of leverage. However, manipulation does not appear to be uniform across REIT sectors and seems to become more common as the level of competition in the underlying property sector increases. We employ a set of commonly used traditional performance measures and a recently developed manipulation-proof measure (MPPM, Goetzmann et al., Rev Finan Stud 20(5):1503–1546, 2007) to evaluate the performance of 147 REITs from seven different property sectors over the period 1991–2009. Our findings suggest that the existing REIT regulation may fail to mitigate a substantial agency conflict and that investors can benefit from evaluating return information carefully in order to avoid potentially manipulative funds.     

Categorical and continuous non-discretionary variables in data envelopment analysis: a comparison of two single-stage models

Non-discretionary or environmental variables are regarded as important in the evaluation of efficiency in Data Envelopment Analysis (DEA), but there is no consensus on the correct treatment of these variables. This paper compares the performance of the standard BCC model as a base case with two single-stage models: the Banker and Morey (1986a) model, which incorporates continuous environmental variables and the Banker and Morey (1986b) model, which incorporates categorical environmental variables. Simulation analyses are conducted using a shifted Cobb-Douglas function, with one output, one non-discretionary input, and two discretionary inputs. The production function is constructed to separate environmental impact from managerial inefficiency, while providing measures of both for comparative purposes. Tests are performed to evaluate the accuracy of each model. The distribution of the inputs, the sample size and the number of categories for the categorical model are varied in the simulations to determine their impact on the performance of each model. The results show that the Banker and Morey models should be used in preference to the standard BCC model when the environmental impact is moderate to high. Both the continuous and categorical models perform equally well but the latter may be better suited to some applications with larger sample sizes. Even when the environmental impact is slight, the use of a simple two-way split of the sample data can produce significantly better results under the Categorical model in comparison to the BCC model.     

Captivate Network and Elevator Telematics

Captivate Network, a US internet start-up, is the leading provider of elevator telematics: flat-screen panels displaying news and other content plus advertisements to people travelling in elevators. Telematics also has safety and operational applications. Growing fast in North America, the technology is now poised to expand to other technologically-advanced countries. It is a successful niche application of wireless internet technology and a new advertising medium in an industry which has changed little and is dominated by long-established big companies.     

Comparing the Impact of News: A Tale of Three Health Care Sectors

Abstract:   This paper examines the impact of news on the volatility of equity returns in three sectors of the health care industry – health care service providers, producers of drugs and supplies, and third‐party payors. The news impact is found to be asymmetric in that bad news (i.e., a negative shock) has a significantly greater effect on volatility than good news. Intra‐industry differences in health care equity market performance are documented and are consistent with the fundamental attributes of these sectors including the degree of price and cost pressures facing firms, the physical capital requirements of firms, the search behavior of health care customers, and the presence of alternative market opportunities.     

The Evaluation of Performance in Firms of Chartered Accountants

In this paper, the results are reported of a survey of the performance evaluation practices of six UK offices of four firms of chartered accountants. The objective of the study was to identify the variables which seemed likely to affect the perceived performance of chartered accountants in the UK. The study was conducted in three stages. First, a model was specified which identifies perceived performance as a function of perceived effort, perceived ability and perceived luck. Second, using a modified form of Vroom's expectancy model of motivation, the determinants of effort were identified. Finally, four work value factors were empirically derived and conceptually related to each of the variables in the model of performance and effort. The results suggest that two of the work value factors (the desire for a better quality of life and the desire to avoid uncertainty) may be particularly important.     

Internet Grows Grassroots Stars in China

<正>Singing sensation,Ren Yueli,became famous after a video of her singing was posted on the Internet.This 22 year old girl came to Beijing alone 4 years ago fro...     

Network effects and total economic impact in transport appraisal

It is sometimes claimed that transport infrastructure projects have network effects, which are not taken into account in the appraisal of these projects. This paper reviews the concept of network effects, relates this to transport appraisal practice, and links to the concept of ‘total economic impact’. The limitations of transport modelling and appraisal in estimating total economic impact are reviewed. Good quality appraisals should be capable of picking up relevant network effects in the transport market, but the state of the art remains limited on the linkages between transport and the wider economy.     

Travel behavior within Canada’s older population: a cohort analysis

The unprecedented demographic change of the aging Canadian society has raised numerous questions, including the provision of health care and the national pension plan to an increasingly large older population. Surprisingly, however, there is little Canadian literature regarding the travel behavior of its older population, an oversight that this paper addresses. Using the 1986, 1992, and 1998 General Social Surveys and pseudo-cohort methods, this paper addresses changing driving behavior among older Canadians, and compares the ‘old’ and ‘transitional old’ to younger-aged cohorts. Results indicate that while older Canadians undertake fewer trips, and travel for different reasons than those in the labor force, their reliance upon the private automobile for transportation is no less significant. Specifically, we demonstrate that the number of trips by car with older drivers increase over the study period as the population ages.     

Portfolio construction incorporating asymmetric dependence structures: a user's guide

We outline a method of portfolio selection incorporating asymmetric dependency structures using copula functions. Assuming normally distributed marginal returns, we illustrate how asymmetric return correlations affect the efficient frontier and subsequent portfolio performance under a dynamic rebalancing framework. Implementing this methodology within the context of tactically allocating a small set of market indices, we demonstrate several key findings. First, we establish the manner by which the efficient frontier constructed under asymmetric dependence differs from a mean‐variance frontier. By establishing a paper portfolio based on these differences, we find that asymmetric correlation structures do have real economic value. The primary source of this economic value is the ability to better protect portfolio value and reduce the size of any erosion in return relative to the normal portfolio when asymmetric return correlations are accounted for.