Empirical analysis of the average asset correlation for real estate investment trusts

The credit risk capital requirements within the current Basel II Accord are based on the asymptotic single risk factor (ASRF) approach. The asset correlation parameter, defined as an obligor's sensitivity to the ASRF, is a key driver within this approach, and its average values for different types of obligors are to be set by regulators. Specifically, for commercial real estate (CRE) lending, the average asset correlations are to be determined using formulas for either income-producing real estate or high-volatility commercial real estate. In this paper, the value of this parameter was empirically examined using portfolios of U.S. publicly-traded real estate investment trusts (REITs) as a proxy for CRE lending more generally. CRE lending as a whole was found to have the same calibrated average asset correlation as corporate lending, providing support for the recent U.S. regulatory decision to treat these two lending categories similarly for regulatory capital purposes. However, the calibrated values for CRE categories, such as multi-family residential or office lending, varied in important ways. The comparison of calibrated and regulatory values of the average asset correlations for these categories suggests that the current regulatory formulas generate parameter values that may be too high in most cases.     

Relating Context Variables to Participative Budgeting and Evaluative Use of Performance Measures: A Meta‐analysis

Extant findings regarding how context variables relate to participative budgeting and the evaluative use of accounting performance measures (APM) are contradictory. Unlike previous reviews of such findings, this empirical article uses a meta‐analysis to examine the relations of context variables with participative budgeting or evaluative use of APM to determine (i) how the variables relate and (ii) which factors might cause between‐correlation variance, such as statistical artefacts or moderating influences of variable measures, sample selection, or industry differences. All meta‐analyses are based on rather small samples. Three groups of context variables emerge. First, some relate significantly and homogeneously to participative budgeting or evaluative use of APM; these direct relations should be considered explicitly in further studies. Second, for some variables, the relations are homogeneous but not significant, such that they are neither simple nor direct. Third, substantial variance exists in the correlations for some context variables; these relations are contingent on other influences. Industry differences and sample selection explain some inconsistencies in exploratory moderator analyses and should receive additional research attention.     

Economic policy uncertainty and stock price crash risk

This paper studies the impact of economic policy uncertainty on stock price crash risk using data from China. We develop a new index to measure Chinese economic policy uncertainty and find that economic policy uncertainty has a remarkable positive effect on stock price crash risk. However, the effect reverses later. The results also indicate that the positive effect of economic policy uncertainty on stock price crash risk is more prominent for state‐owned enterprises. Moreover, this effect is more prominent for firms with higher information asymmetry and firms with greater disagreement among investors, indicating that economic policy uncertainty affects crash risk through two mechanisms: managers’ concealment of bad news and investors’ heterogeneous beliefs.     

粘土稳定剂防膨率评价方法分析

防膨率是筛选和评价粘土稳定剂产品的重要指标。为了提高粘土稳定剂防膨率测定方法的准确性和重现性,结合实际检测工作,逐一分析了页岩膨胀仪法、具塞量筒法和离心法测定粘土稳定剂防膨率的误差来源和影响因素。结果表明:离心法可以减少仪器、环境、空白等方面产生的误差,测试实验条件下的相对标准偏差在1%以下。     

面向全球人工智能高影响力科研人员的综合学术影响力评价模型研究

科技人才对于一国的科技创新发展至关重要,科学合理地评价科研人员的学术影响力,对于科技人才遴选、引进、管理具有重要意义,同时,也可以营造公平、公正的学术氛围,推动科技发展。本研究针对新兴科技领域知识迭代更新快的特点,提出了新兴科技领域科研人员学术影响力综合评价体系和模型,并以人工智能高影响力科研人员为例进行了分析。结果发现,成果引用情况对学术影响力影响最大,其次是学术研究能力和学术活跃程度。本研究提供了一种指标客观赋值的方法,对于科研人员学术影响力的客观评价提供支撑。     

工作过程导向下高职《国际货代实务》课程改革实施效果评价分析

国际货代实务课程是国际贸易实务专业和物流专业的核心课程,本文以杭州万向职业技术学院为例,研究基于工作过程导向下高职国际货代实务课程体系改革的思路和课程设计方案,从介绍该课程的性质、特点、开发的必要性以及开发思路进行阐述到对考试进行改革,在实施了2年的教学改革后,对实施效果进行评价分析。以期对同行有所借鉴。     

国防工业高校科研能力趋势评价研究

通过对国防工业高校科研特点的分析,基于生态位理论的基本思想,运用数学建模的方法,构建具有速度特征的国防工业高校科研能力趋势评价模型,并通过算例证明该方法的可行性与有效性。     

Fiscal Policy,Monetary Policy and the Mechanics of Modern Clearing and Settlement Systems

Thomas Palley, Eric Tymoigne and Randall Wray recently debated neo-Chartalism in this journal. This article argues that the mechanics of modern clearing and settlement systems is important to understanding this debate. In the neo-Chartalist framework taxes and bond issuance function as part of monetary policy; it is an alternative method for draining reserves to obtain the overnight target rate. Abba Lerner’s Chartalist framework is much clearer on public finance, noting that the federal government can use alternative financing methods to pay for expenditures. Palley’s concerns with central bank ‘money financing’ and inflation are unpersuasive. The Old Keynesian ‘budget restraint– high-powered money relation’ offers limited insight into modern clearing and settlement systems. The article concludes that policymakers should embrace Lerner’s advice and view ‘money printing’ as a normal policy instrument to support functional finance.     

Technology level evaluation methodology based on the technology growth curve

Technology has been the driving force of development for knowledge-based economies. As competition in technology innovation among nations becomes more intense, there is a growing need for improved judgment, evaluation and prediction of scientific technology capacity in order to enhance national competitiveness. Until now, a country's technology level has been evaluated on a relative basis by comparing it with that of the country with the world's best technology. However, this kind of static methodology makes the interpretation of results unclear and makes time series analysis difficult. One of the most important limitations of this methodology is that it cannot be used to establish a strategy to improve the technology level. This paper examines the methodological problems of technology level evaluation and develops a dynamic methodology by applying the technology growth curve model. We also analyze the real technology level by using a new model application and review the relevance of this method. Finally, we discuss how to use the results in order to create a dynamic technology strategy.     

基于PCA/FCM的企业信用评价研究

针对我国企业信用评价问题的特点,文章分析了企业信用评价基本原则和主要影响因素,建立了企业信用评价指标体系。企业信用评价是一类包括一系列独立变量的分类问题,将主成分分析与模糊理论引入信用评价中,构建基于PCA/FCM的企业信用评价模型,这使得模型更接近人们的思维方式、指标赋权更为客观。应用该模型及SPSS11.0、MATLAB7.0对所选企业研究显示:该模型非常有效和实用。