Real estate return correlations: Real-world limitations on relationships inferred from NCREIF data

Correlation estimates for returns between individual properties are subject to large inherent uncertainties due to limits on the amount of data that is likely to be available for the foreseeable future. After allowance for correlation sampling error, it is impossible to distinguish on an ex ante basis between the risk-reduction capabilities of mean-variance portfolio selection models and naive diversification without regard to property type or geographical location. The naive portfolio diversification strategies of typical institutional real estate portfolio managers are rational responses to limitations on the informational content of statistical analyses of historical real estate data.     

Two Views of Accounting Measurement

The two views to be addressed here are the Chambers/Sydney view that accepts only one measurement method—current net realizable price—and the Staubus/mainstream view that accepts several measurement methods in the same financial report. These two views became well-established in the literature of accounting in the 1960s and their proponents have clung tenaciously to their oft-criticized positions for some forty years. However commendable their original expositions may have been, their continuing existence does no credit to the small coterie of accountants now interested in theory.
This article is aimed at 'narrowing the areas of difference' between adherents to the two views by isolating fundamental bases for them and exposing the reasoning supporting their structures. In a nutshell, they differ in their objectives and they can be expected to survive unless their adherents agree on the objectives of financial reporting.     

Inference with Dependent Data in Accounting and Finance Applications

We review developments in conducting inference for model parameters in the presence of intertemporal and cross‐sectional dependence with an emphasis on panel data applications. We review the use of heteroskedasticity and autocorrelation consistent (HAC) standard error estimators, which include the standard clustered and multiway clustered estimators, and discuss alternative sample‐splitting inference procedures, such as the Fama–Macbeth procedure, within this context. We outline pros and cons of the different procedures. We then illustrate the properties of the discussed procedures within a simulation experiment designed to mimic the type of firm‐level panel data that might be encountered in accounting and finance applications. Our conclusion, based on theoretical properties and simulation performance, is that sample‐splitting procedures with suitably chosen splits are the most likely to deliver robust inferential statements with approximately correct coverage properties in the types of large, heterogeneous panels many researchers are likely to face.     

Industry Costs of Equity: Incorporating Prior Information

I examine whether incorporating economically motivated prior information yields more accurate forecasts of industry costs of equity. I find that incorporating the long‐run mean of the Capital Asset Pricing Model (CAPM) parameters and the industry characteristics in the cross section produces more accurate parameter estimates, which subsequently translate into more accurate out‐of‐sample forecasts of industry costs of equity. The outperformance of this method over rolling‐window estimates becomes larger as the forecast horizon extends into the future. These findings provide evidence that the CAPM parameters have a long‐run mean‐reversion property and correlate with the industry characteristics in a systematic way.     

ETF Premiums and Liquidity Segmentation

Exchange traded funds (ETFs) provide a means for investors to access assets indirectly that may be accessible at a high cost otherwise. I show that liquidity segmentation can explain the tendency for ETFs to trade at a premium to net asset value (NAV) as well as the life‐cycle pattern in premiums. ETFs with larger NAV tracking error standard deviations (TESDs) tend to trade at higher premiums and the liquidity benefits offered by foreign ETFs and fixed income ETFs are revealed to be the most valuable to investors. Further tests validate that TESD has the desirable properties of a liquidity segmentation measure.     

The Effects of Oil Price on the Korean Economy: A Global VAR Approach

This article empirically explores the effects of oil price on the Korean economy using a Global VAR model. First, we evaluate the average connectedness of oil price with the Korean domestic variables over the precrisis period. We then investigate the time-varying contribution of oil price to the Korean financial and real sectors during and after the global financial crisis through recursive estimation. It is found that the contribution of oil price becomes very large in the case of real exports, equity prices, and real output, but plays a much less prevalent role in the remaining cases. In the meantime, the time-varying contribution of oil price to the Korean economy has not changed during and after the global financial crisis. Interestingly, we find that the Korean economy is affected mostly by overseas financial conditions in the short-term but it becomes more susceptible to oil price fluctuations in the long run, suggesting that Korea’s reliance on energy imports leaves the economy exposed to volatility in energy prices.     

Assessing preferences of potential visitors for nature-based experiences in protected areas

Visitor experiences have been identified as critical for the sustainable management of tourism destinations. However, researchers have given limited attention to how to measure visitor preferences for different, newly proposed experiences, especially in nature-based tourism contexts. This paper aims to capture potential visitors' preferences for nature-based visitor experiences that would alleviate pressure on the iconic summit of Mount Warning, Australia. Findings reveal a preference for passive rather than active experiences. Consistency between the four measurement approaches used was high. Future studies should consider adopting multiple measures to underpin evidence-based management that informs the design of nature-based tourism experiences.     

技术进步与效率改善的一种新测度方法

本文利用非参数路径收敛设计,建立了测度政府投入驱动经济增长效率的方法。基于浙江省级公立医院2005~2008年的数据,本文发现经典的Malquist指数和线性回归估计方法无法识别政府投入对技术进步和效率改善的影响。研究表明,2005年5月至2006年10月和2008年7月至2008年12月期间,政府投入显著促进了浙江省级公立医院技术进步,生产率大幅提升;然而,在2006年10月至2008年7月期间政府投入失败。这一结果不仅论证了本文测度方法的有效性和应用的可行性,同时也纠正了投入产出比导致的直观错误判断。     

Measurement of patient-reported outcomes. 1: The search for the Holy Grail

Abstract

Patient-reported outcome measures (PROMs) are used to collect information directly from patients. They may cover several different types of outcomes ranging from symptoms, functioning, utility, satisfaction, through to quality-of-life (QoL). They generally consist of self-completed questionnaires that can be administered by means of hard copies or in a range of electronic formats. PROMs vary considerably in terms of the constructs they assess, the care with which they are developed, and their scientific quality. However, none of the PROMs available approach the quality of measurement achieved by measures/instruments used in physics. PROs are examples of latent variables. These are not directly observable, but can be inferred from, for example, responses to a questionnaire. The only measure of a latent variable that approaches the quality of measurement achieved by the physical sciences is the Lexile Framework for Reading. This framework is based on a construct theory that grew out of an analysis of several available reading measures. A specification equation was generated that was able to link the construct theory to scores obtained with the Lexile measure. A fundamental requirement of this quality of measurement is that the data collected with the model fit Rasch Measurement Theory (RMT). It is argued that PROM developers should aspire to match this level of measurement sophistication if their instruments are to provide valid insights into the impacts of disease and its treatment.     

全站仪的误差分析及精度控制在水利工程测量中的研究

水利工程是国民经济建设过程中非常重要的建设内容,能够为人们的生产生活提供极大的便利,这就需要保证水利工程测量工作的准确性。在水利工程测量过程中,常用的测量工具就是全站仪,做好其误差分析与精度控制工作是非常必要的,本文就主要针对此予以简单分析。