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Journal of Risk Model Validation最新文献

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Does the asymmetric exponential power distribution improve systemic risk measurement? 非对称指数权力分配是否改善了系统性风险度量?
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2023-01-01 DOI: 10.21314/jrmv.2022.031
Shu Wu, Huiqiong Chen, Helong Li
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引用次数: 0
Model risk in mortality-linked contingent claims pricing 与死亡相关的或有索赔定价中的风险模型
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jrmv.2022.022
G. Peters, Hongxuan Yan, Jennifer Chan
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引用次数: 0
Model risk quantification based on relative entropy 基于相对熵的模型风险量化
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jrmv.2022.020
D. Arrieta
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引用次数: 0
Estimating value-at-risk using quantile regression and implied volatilities 使用分位数回归和隐含波动率估计风险价值
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jrmv.2021.014
P. D. de Lange, Morten Risstad, Sjur Westgaard
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引用次数: 1
Predicting financial distress of Chinese listed companies using a novel hybrid model framework with an imbalanced-data perspective 基于非平衡数据视角的新型混合模型框架预测中国上市公司财务困境
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jrmv.2021.012
Tong Zhang, Zhichong Zhao
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引用次数: 2
Quantification of model risk with an application to probability of default estimation and stress testing for a large corporate portfolio 将模型风险量化,应用于大型公司投资组合的违约估计概率和压力测试
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jrmv.2022.023
Michael Jacobs Jnr.
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引用次数: 2
General bounds on the area under the receiver operating characteristic curve and other performance measures when only a single sensitivity and specificity point is known 当只知道单个灵敏度和特异度点时,接收器工作特性曲线下的面积和其他性能指标的一般界限
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jrmv.2022.019
Roger M. Stein
Receiver operating characteristic (ROC) curves are often used to quantify the performance of predictive models used in diagnosis, risk stratification and rating systems. The ROC area under the curve (AUC) summarizes the ROC in a single statistic, which also provides a probabilistic interpretation that is isomorphic to the Mann– Whitney–Wilcoxon test. In many settings, such as those involving diagnostic tests for diseases or antibodies, information about the ROC is not reported;instead the true positive. TP / and true negative. TN / rates are reported for a single threshold value. We demonstrate how to calculate the upper and lower bounds for the ROC AUC, given a single. TP;TN / pair. We use simple geometric arguments only, and we present two examples of real-world applications from medicine and finance, involving Covid-19 diagnosis and credit card fraud detection, respectively. In addition, we introduce formally the notion of “pathological” ROC curves and “well-behaved” ROC curves. In the case of well-behaved ROC curves, the bounds on the AUC may be made tighter. In certain special cases involving pathological ROC curves that result from what we term “George Costanza” classifiers, we may transform predictions to obtain well-behaved ROC curves with higher AUC than the original decision process. Our results also enable the calculation of other quantities of interest, such as Cohen’s d or the Pearson correlation between a diagnostic outcome and an actual outcome. These results facilitate the direct comparison of reported performance when model or diagnostic performance is reported for only a single score threshold. © 2022. Infopro Digital Risk (IP) Limited
受试者工作特征(ROC)曲线通常用于量化诊断、风险分层和评级系统中使用的预测模型的性能。ROC曲线下面积(AUC)在单个统计量中总结了ROC,它也提供了与Mann - Whitney-Wilcoxon检验同构的概率解释。在许多情况下,例如涉及疾病或抗体的诊断测试,有关ROC的信息不报告,而是报告真正的阳性。TP /和真阴性。TN /速率报告单个阈值。我们演示了如何计算ROC AUC的上界和下界。TN /对。我们仅使用简单的几何参数,并给出了两个来自医学和金融的实际应用示例,分别涉及Covid-19诊断和信用卡欺诈检测。此外,我们正式引入了“病态”ROC曲线和“行为良好”ROC曲线的概念。在表现良好的ROC曲线的情况下,AUC的界限可能会更紧。在涉及病理ROC曲线的某些特殊情况下,我们称之为“George Costanza”分类器,我们可以转换预测以获得比原始决策过程具有更高AUC的表现良好的ROC曲线。我们的结果还可以计算其他感兴趣的量,例如科恩d或诊断结果与实际结果之间的皮尔逊相关性。当仅为单个评分阈值报告模型或诊断性能时,这些结果有助于对报告的性能进行直接比较。©2022。盈富数码风险(知识产权)有限公司
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引用次数: 0
Scenario design for macrofinancial stress testing 宏观金融压力测试的场景设计
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jrmv.2022.024
Emanuele De Meo
This paper provides a novel empirical approach to scenario design for selecting a stress scenario for international macrofinancial variables. The scenario design framework is composed of several building blocks. First, multiple scenarios on the risk factors are generated by simulating a multi-country large Bayesian vector autoregression. Second, we take the perspective of a representative investor who aims to select a severe-yet-plausible scenario for a set of systematic risk factors following a factor-investing strategy. Moreover, we compare the stress scenarios selected under different approaches to measure plausibility (the Mahalanobis distance and entropy pooling under subjective views with a clear economic narrative). Finally, we compare our scenario design approach with a historical scenario approach in terms of its ability to select a stress scenario in the run-up to a rare adverse event such as the Covid-19 pandemic. We give evidence that our framework is suitable for the selection of a proper forward-looking severe-yet-plausible macrofinancial stress scenario.
本文为国际宏观金融变量压力情景的选择提供了一种新的实证方法。场景设计框架由几个构建块组成。首先,通过模拟多国大贝叶斯向量自回归,生成风险因素的多个情景。其次,我们从一个代表性投资者的角度出发,他的目标是为一组遵循因素投资策略的系统性风险因素选择一个严重但合理的情景。此外,我们比较了在不同方法下选择的压力情景来衡量可信性(马氏距离和熵池在主观观点下具有明确的经济叙事)。最后,我们比较了我们的情景设计方法与历史情景方法在Covid-19大流行等罕见不良事件发生前选择压力情景的能力。我们给出的证据表明,我们的框架适合于选择一个适当的前瞻性严重但似乎合理的宏观金融压力情景。
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引用次数: 0
Performance validation of representative sample-balancing methods in loan credit-scoring scenarios 贷款信用评分场景中代表性样本平衡方法的性能验证
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jrmv.2022.026
Ling Chen, Runchi Zhang
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引用次数: 0
Risk contagion and bank stability: the role of credit risk and liquidity risk 风险传染与银行稳定性:信用风险和流动性风险的作用
IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE Pub Date : 2022-01-01 DOI: 10.21314/jrmv.2022.025
Lei Ding, Yaming Zhuang, Hu Wang
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引用次数: 0
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Journal of Risk Model Validation
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