The role of interpersonal affect in performance appraisal: evidence from two samples – the US and India

The interpersonal affect, a li ke–dislike relationship between a supervisor and his/her subordinate, has traditionally been conceptualized as a source of bias in performance appraisals. However, some researchers have argued that the interpersonal affect may not be a bias, especially where it develops as a result of past performance. In this field study, using data from 190 supervisors in the US, and 113 supervisors in India, we delineate the relationship between interpersonal affect and performance ratings. In both samples, interpersonal affect and performance level were found to have significant effects on performance ratings. Results from the US sample indicated that raters are able to separate their liking for a subordinate from actual performance when a ssigning performance ratings, suggesting that the interpersonal affect does not operate as a bias in the appraisal process. Results from the Indian sample, however, suggest that supervisors inflate ratings of low performers, suggesting that local cultural norms may be operating as a moderator.     

对我国金融信用法制体系建设问题的思考

市场经济条件下,法制是正常的金融信用关系得以维系的重要保障,金融法制建设是完善金融信用体系的重要内容。近年来,我国金融信用法制建设虽有所进展,但与现实的金融经营活动相比仍显滞后及不完善。加快金融信用法制体系建设已成为当务之急。     

How do “gatekeepers” affect credit risk?

This study investigates the relationship between auditor tenure and credit default swap (CDS) spreads of U.S. firms based on quantile regression. After allowing for common determinants of CDS spreads, auditor tenure exerts both statistically and economically significant additional impacts on the CDS market. Furthermore, there are differential effects of common CDS spread determinants and auditor tenure. While common determinants of CDS spreads (e.g., leverage, volatility, risk free rate, credit ratings, and earnings) have monotonically increasing impacts when CDS spreads (and their changes) are increasingly higher, auditor tenure primarily has the impact when CDS spreads are of low or median levels for less risky firms.     

Write-down bonds,credit risk and imperfect information

A structural model of pricing Write-Down (hereafter WD) bonds under imperfect information has been developed to investigate the effect of WD bonds issuance on credit risk. Information is not only delayed but also asymmetrically distributed between managers and outside investors. We derive analytical solutions for corporate securities prices and find the issuance of WD bonds could significantly improve firm value via reducing bankruptcy cost. Our numerical results further demonstrate that the WD bonds issuance increases corporate risk tolerance and reduces the risk of bankruptcy and credit spreads under imperfect information.     

Forecasting recovery rates on non-performing loans with machine learning

We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, using a private database from a European debt collection agency. We find that rule-based algorithms such as Cubist, boosted trees, and random forests perform significantly better than other approaches. In addition to loan contract specificities, predictors that refer to the bank recovery process — prior to the portfolio’s sale to a debt collector — are also shown to enhance forecasting performance. These variables, derived from the time series of contacts to defaulted clients and client reimbursements to the bank, help all algorithms better identify debtors with different repayment ability and/or commitment, and in general those with different recovery potential.     

Rater source factors represent important subcomponents of the criterion construct space, not rater bias

We contrast normative accuracy and ecological perspectives on applications of the multitrait–multimethod methodology to multisource performance ratings and review existing research that provides critical tests of these perspectives. Existing research supports the ecological perspective which proposes that the rater source effects that are typically found in analysis of multisource performance ratings do not represent mere halo biases but alternative, perhaps equally valid perspectives on ratee performance. We suggest that future research view multifaceted research designs in the broader context of a prototype multidimensional data relational system such as that proposed by Lance, Baranik, Lau, and Scharlau (Lance, C. E., Baranik, L. E., Lau, A. R., & Scharlau, E. A. (in press). If it's not trait it must be method: (Mis)application of the multitrait–multimethod design in organizational research. In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and methodological myths and urban legends: Received doctrine, verity, and fable in the organizational and social sciences. Mahwah, NJ: Erlbaum).     

中国企业参与全球价值链的持续时间及其决定因素

研究目标：考察中国企业参与全球价值链的持续时间及其决定因素。研究方法：采用2000~2007年中国企业面板数据,通过生存分析模型进行研究。研究发现：中国企业进入和退出全球价值链（GVC）的企业数量大体呈上升趋势,企业总体嵌入GVC的持续时间较短,均值为1.827年,且随着持续时间增长企业生存的危险性逐渐降低。其中东部地区企业、加工贸易企业、民营企业和外资企业在GVC中的生存率更高,风险率更低,持续嵌入GVC的能力更强。出口发达国家的企业、加工贸易企业、民营企业、外资企业和具有较好研发能力、全要素生产率较高、规模较大、融资约束较小、年龄较小的企业退出GVC的概率更低,嵌入GVC的持续时间更长。研究创新：构建企业层面价值链嵌入程度指标,并运用生存分析创新性地考察中国企业在全球价值链中的进入退出行为。研究价值：对评析贸易开放的利得以及寻求“中国制造”在全球价值链中持续经营的模式具有重要的理论意义。     

信用担保机构内部风险控制——基于COSO框架

我国中小企业信用担保机构是专门经营和管理信用风险的机构,其对资金的倍数放大作用同时也是对风险的放大。担保风险能否被有效地防范与控制关系到信用担保机构的可持续发展。信用担保机构的内部风险控制是防范担保风险的重要途径之一,文章结合COSO风险管理框架探讨了我国信用担保机构内部风险控制。     

基础宽厚、特色明晰的工业设计人才培养体系探讨

文章围绕学校实行学分制以后,如何能兼顾体系性教学与开放式教学二者的优点,为最终形成"基础宽厚、特色明晰"的工业设计人才培养提供基础这一问题进行了探讨。     

Credit market segmentation,essentiality of commodities,and supermodularity

We consider incomplete market economies where agents are subject to price-dependent trading constraints compatible with credit market segmentation. Equilibrium existence is guaranteed when either commodities are essential, i.e, indifference curves through individuals’ endowments do not intersect the boundary of the consumption set, or utility functions are concave and supermodular. The smoothness of mappings representing preferences, financial promises, or trading constraints is not required. Hence, we may include in our framework economies where ambiguity is allowed and agents maximize the minimum expected utility over a set of priors, or where markets include non-recourse collateralized loans.