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Designing an Enterprise Risk Management Curriculum for Business Studies: Insights from a Pilot Program 设计商业研究的企业风险管理课程:来自试点项目的见解
M. Acharyya, Chris Brady
The latest financial crises have highlighted the centrality of managing risks across organizations. Internationally, Basel II/III, The Volcker Rule of the Dodd–Frank Act, and Vickers’ Ring-Fence all propose stronger management of risk across banks and greater oversight of executive compensation to mitigate generic risk. Given this situation, it might be assumed that academia would also view risk as a central concern for its business programs. It seems not. There is a little evidence that academic curricula are being specifically designed to address this issue. This article examines an Enterprise Risk Management curriculum delivered to graduate student cohorts over 3 consecutive years. Four criteria were used to develop the new curriculum. First, it should take a holistic view of risk; second, the theories related to risk needed to be transformed from individual to group level; third, the dynamics of risk due to market factors needed to be understood; and finally, the way firms respond to crises needed to be observed and embedded in the curriculum.
最近的金融危机凸显了跨组织管理风险的重要性。在国际上,《巴塞尔协议II/III》、《多德-弗兰克法案》中的沃尔克规则(Volcker Rule)和维克斯的环形围栏(Vickers’re - fence)都建议加强银行间的风险管理,加强对高管薪酬的监督,以降低普遍风险。在这种情况下,可以假设学术界也将风险视为其商业计划的中心关注点。似乎不是。很少有证据表明,学术课程正在专门设计来解决这个问题。本文考察了连续3年交付给研究生的企业风险管理课程。制定新课程时采用了四条标准。首先,它应该全面看待风险;二是风险理论需要从个体层面向群体层面转变;第三,需要了解市场因素带来的风险动态;最后,需要观察企业应对危机的方式,并将其融入课程中。
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引用次数: 10
Performance Evaluation with High Moments and Disaster Risk 基于高时刻和灾害风险的绩效评估
Pub Date : 2014-02-20 DOI: 10.2139/ssrn.2020724
Ohad Kadan, Fang Liu
Traditional performance evaluation measures do not account for tail events and rare disasters. To address this issue, we reinterpret the riskiness measures of Aumann and Serrano (Journal of Political Economy, 2008) and Foster and Hart (Journal of Political Economy, 2009) as performance indices. We derive the moment properties of these indices and their sensitivity to rare disasters and show that they are consistent with the asset pricing literature. As applications, we show that “anomalous” investment strategies such as “momentum” or investment in private equity lose much of their glamour when accounting for high moments and rare events. Furthermore, using the indices to select mutual funds results in desirable high-moment properties out of sample.
传统的绩效评估方法没有考虑尾部事件和罕见灾害。为了解决这个问题,我们将Aumann和Serrano(《政治经济学杂志》,2008)和Foster和Hart(《政治经济学杂志》,2009)的风险度量重新解释为绩效指标。我们推导了这些指数的矩特性及其对罕见灾害的敏感性,并表明它们与资产定价文献一致。作为应用,我们表明,当考虑到高潮时刻和罕见事件时,“动量”或私人股本投资等“反常”投资策略失去了很大的吸引力。此外,使用这些指数来选择共同基金可以获得理想的样本外高矩特性。
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引用次数: 0
Arbitrage-Free Call Option Surface Construction Using Regression Splines (Preprint) 利用回归样条曲线构建无套利看涨期权曲面(预印本)
Pub Date : 2014-02-05 DOI: 10.2139/ssrn.1956138
Greg Orosi
In this work, we suggest a novel quadratic programming-based algorithm to generate an arbitrage-free call option surface. Our approach relies on a regression spline-based implementation of the framework proposed by Orosi (2011) who presents a multi-parameter extension of the models of Figlewski (2002) and Henderson, Hobson, and Kluge (2007). Moreover, the empirical performance of the proposed method is evaluated using S&P 500 Index call options. Our results indicate that the proposed method provides a more precise fit to observed option prices than other alternative methodologies. NOTE: This is a preprint. The published version has been extensively revised.
在这项工作中,我们提出了一种新的基于二次规划的算法来生成无套利看涨期权曲面。我们的方法依赖于Orosi(2011)提出的基于回归样条的框架实现,该框架提出了Figlewski(2002)和Henderson, Hobson, and Kluge(2007)模型的多参数扩展。此外,采用标准普尔500指数看涨期权对该方法的实证绩效进行了评估。我们的结果表明,所提出的方法提供了一个更精确的拟合观察期权价格比其他替代方法。注:这是预印本。已出版的版本作了大量修改。
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引用次数: 0
Distress Anomaly and Shareholder Risk: International Evidence 困境异常与股东风险:国际证据
Pub Date : 2013-12-06 DOI: 10.2139/ssrn.2267611
Assaf Eisdorfer, Amit Goyal, A. Zhdanov
Financially distressed stocks in the U.S. earn puzzlingly low returns giving rise to the distress risk anomaly. In this paper we provide evidence on the performance of distressed stocks in 34 different countries. We find that the distress anomaly appears to exist in developed countries but not in emerging ones. Using cross-country analyses we explore several alternative potential drivers of returns to distressed stocks. We find that the distress anomaly is stronger in countries with stronger takeover legislation, lower barriers to arbitrage, higher information transparency, and easier access to new loans. We find a weak relation between the distress anomaly and debt enforcement risk, and a measure of country-level return skewness. We find no relation between the anomaly and the legal origin of a country. These findings suggest that various aspects of shareholders’ risk play an important role in shaping distressed stocks returns.
美国陷入财务困境的股票的回报率低得令人费解,这导致了困境风险异常。在本文中,我们提供了34个不同国家的不良股票表现的证据。我们发现,危机异常似乎存在于发达国家,而不存在于新兴国家。使用跨国分析,我们探讨了几个替代的潜在驱动回报的不良股票。我们发现,在并购立法更强、套利壁垒更低、信息透明度更高、更容易获得新贷款的国家,这种困境异常更强。我们发现危机异常与债务执行风险之间存在弱关系,并衡量国家层面的回报偏度。我们发现这种反常现象与一个国家的法律起源之间没有任何关系。这些发现表明,股东风险的各个方面在塑造不良股票回报方面发挥着重要作用。
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引用次数: 23
Predictability and Underreaction in Industry-Level Returns: Evidence from Commodity Markets 行业回报的可预测性和反应不足:来自大宗商品市场的证据
Pub Date : 2013-09-11 DOI: 10.2139/ssrn.2005365
Mohammad R. Jahan-Parvar, Andrew Vivian, M. Wohar
This paper finds significant evidence that commodity log price changes can predict industry-level returns for horizons of up to six trading weeks (30 days). We find that for the 1985–2010 period, 40 out of 49 U.S. industries can be predicted by at least one commodity. Our findings are consistent with Hong and Stein’s (1999) “underreaction hypothesis.” Unlike prior literature, we pinpoint the length of underreaction by employing daily data. We provide a comprehensive examination of the return linkages among 25 commodities and 49 industries. This provides a more detailed investigation of underreaction and investor inattention hypotheses than most related literature. Finally, we implement data-mining robust methods to assess the statistical significance of industry returns reactions to commodity log price changes, with precious metals (such as gold) featuring most prominently. While our results indicate modest out-of-sample forecast ability, they confirm evidence that commodity data can predict equity returns more than four trading weeks ahead.
本文发现有显著证据表明,商品日志价格变化可以预测长达六个交易周(30天)的行业水平回报。我们发现,在1985-2010年期间,美国49个行业中有40个行业可以用至少一种商品来预测。我们的发现与Hong和Stein(1999)的“反应不足假说”是一致的。与先前的文献不同,我们通过使用日常数据来确定反应不足的长度。我们对25种商品和49个行业之间的回报联系进行了全面的研究。这提供了一个更详细的调查反应不足和投资者注意力不集中的假设比大多数相关文献。最后,我们实施了数据挖掘稳健方法来评估行业回报对商品对数价格变化的反应的统计显著性,其中贵金属(如黄金)的特征最为突出。虽然我们的结果表明适度的样本外预测能力,但它们证实了商品数据可以提前四个多交易日预测股票回报的证据。
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引用次数: 9
Three Practical Assignments for the Introductory Risk Management and Insurance Student 风险管理与保险导论学生的三份实务作业
Kevin M. Gatzlaff
I have developed, used, and refined an auto quote assignment, a life quote assignment, and a retirement analysis assignment that seem to communicate certain concepts well to the typical student enrolled in a risk management and insurance principles course. These assignments consist of worksheets requiring Internet research and a series of questions based on the answers discovered. Additionally, a short class discussion follows each of the three assignments to further ensure that students have achieved the primary learning objectives of each assignment. In their current form, these assignments are practical and require relatively minimal student and instructor time. Each could easily be expanded to accommodate students with advanced understanding and capability.
我已经开发、使用并改进了一个自动报价作业、一个人寿报价作业和一个退休分析作业,这些作业似乎可以很好地向参加风险管理和保险原理课程的典型学生传达某些概念。这些作业由工作表组成,需要在互联网上进行研究,并根据发现的答案提出一系列问题。此外,三个作业之后会有一个简短的课堂讨论,以进一步确保学生达到每个作业的主要学习目标。在他们目前的形式,这些作业是实用的,需要相对较少的学生和教师的时间。每个都可以很容易地扩展,以适应具有高级理解和能力的学生。
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引用次数: 0
Identifying Mixture Copula Components Using Outlier Detection Methods and Goodness-of-Fit Tests 使用离群值检测方法和拟合优度检验识别混合Copula成分
Pub Date : 2013-08-30 DOI: 10.2139/ssrn.1927881
Gregor N. F. Weiß
This paper proposes the use of outlier detection methods from robust statistics and copula goodness-of-fit tests to identify components of mixture copulas. We first consider simulated data samples in which the true dependence structure is given by a mixture of two parametric copulas: one copula that is presumed to represent the true dependence structure and one disturbing copula. The Monte Carlo simulations show that the goodness-of-fit tests we consider lose significantly in power when applied to mixtures of copulas with different tail dependence. Several goodness-of-fit tests are shown to hold their nominal level when multivariate outliers are excluded, although this improvement comes at the price of a further loss in the tests' power. The usefulness of excluding outliers in copula goodness-of-fit testing is exemplified in an empirical risk management application.
本文提出了利用鲁棒统计的离群值检测方法和copula拟合优度检验来识别混合copula的成分。我们首先考虑的模拟数据样本中,真正的依赖结构是由两个参数联结的混合物给出的:一个被假定为代表真正的依赖结构的联结和一个干扰联结。蒙特卡罗模拟表明,我们所考虑的拟合优度测试在应用于具有不同尾依赖性的copuls混合物时功率显著下降。当排除多变量异常值时,几个拟合优度检验显示保持其名义水平,尽管这种改进是以进一步损失检验能力为代价的。排除异常值的有用性在copula的拟合优度检验是例证在经验风险管理应用。
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引用次数: 1
Abnormal Returns of Soccer Teams: Reassessing the Informational Value of Betting Odds 足球队异常收益:重新评估投注赔率的信息价值
Pub Date : 2013-08-26 DOI: 10.2139/ssrn.1998335
Massimiliano Castellani, Pierpaolo Pattitoni, R. Patuelli
We analyse the links between soccer match results, betting odds and stock returns of all listed European soccer teams. Using an event-study approach, we measure positive (negative) abnormal returns following wins (ties and losses). Additionally, we analyse the role, which we find to be non-significant, of betting odds in shaping market reactions to unexpected results. We propose an alternative econometric approach, using seemingly unrelated regressions models, to take into account the problem of overlapping events. Abnormal returns following unexpected results are then found to be statistically significant, and to magnify the positive (negative) effects of wins (losses).
我们分析了所有上市欧洲足球队的足球比赛结果、投注赔率和股票回报之间的联系。使用事件研究方法,我们衡量胜利(平局和失败)后的正(负)异常回报。此外,我们分析了投注赔率在塑造市场对意外结果的反应方面的作用,我们发现这一点并不重要。我们提出了另一种计量经济学方法,使用看似不相关的回归模型,以考虑重叠事件的问题。然后发现意外结果后的异常收益具有统计显著性,并放大了赢(亏)的正(负)效应。
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引用次数: 6
Contracting in Delegated Portfolio Management: The Case of Alternative Assets 委托投资组合管理中的契约:另类资产的案例
Pub Date : 2013-08-13 DOI: 10.2139/ssrn.2022457
C. W. Li, Ashish Tiwari
This study explores optimal portfolio management contracts in the context of ‘opaque’ portfolios invested in illiquid or privately held assets. We identify shortcomings of linear contracts in this context and demonstrate that the second-best optimal contract features a convex component. The importance of the convex component is an increasing function of the portfolio’s opacity. Furthermore, the principal’s utility loss from restricting the weight of the convex component to zero is increasing in the portfolio’s opacity. These results help provide a rationale for the form of contracts observed in the case of alternative investments including hedge funds and private equity funds.
本研究探讨了投资于非流动性或私人持有资产的“不透明”投资组合的最佳投资组合管理合同。在这种情况下,我们确定了线性契约的缺点,并证明了次优最优契约具有凸分量。凸分量的重要性随着投资组合的不透明度而增加。此外,在投资组合的不透明性中,将凸分量的权重限制为零所造成的委托人效用损失正在增加。这些结果有助于为包括对冲基金和私募股权基金在内的另类投资所观察到的合同形式提供理论依据。
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引用次数: 0
On the Risk Neutralization of Transition Matrix 转移矩阵的风险中和问题
Pub Date : 2013-08-02 DOI: 10.2139/ssrn.1976977
Richard Zhou
Risk-neutral transition matrix term structure is an essential component of rating-based credit derivative pricing models. However, generation of suitable risk-neutral transition matrix term structure remains a challenging problem. Many calibration models in the literature either are unstable or result in poor fit to the market implied default probability term structure.In this paper, we propose a new risk-neutral transition matrix term structure calibration method in which the conditional rating transition matrix is a mixture of Markov chains. Numerical results indicate that the local Markov mixture model is capable of accurately calibrating to a variety of market implied CDS/PD term structure.
风险中性过渡矩阵期限结构是基于评级的信用衍生品定价模型的重要组成部分。然而,合适的风险中性过渡矩阵期限结构的生成仍然是一个具有挑战性的问题。文献中的许多校准模型要么不稳定,要么与市场隐含违约概率期限结构拟合较差。本文提出了一种新的风险中性过渡矩阵期限结构标定方法,其中条件评级过渡矩阵是马尔可夫链的混合。数值结果表明,局部马尔可夫混合模型能够准确地校准各种市场隐含的CDS/PD期限结构。
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引用次数: 2
期刊
Econometrics: Applied Econometric Modeling in Financial Economics eJournal
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