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Estimation of operational value-at-risk in the presence of minimum collection threshold: An empirical study

机译:在存在最小收集阈值的情况下估算运营风险值:实证研究

摘要

The recently finalized Basel II Capital Accord requires banks to adopt a procedure to estimate the operational risk capital charge. Under the Advanced Measurement Approaches, that are currently mandated for all large internationally active US banks, require the use of historic operational loss data. Operational loss databases are typically subject to a minimum recording threshold of roughly $10,000. We demonstrate that ignoring such thresholds leads to biases in corresponding parameter estimates when the threshold is ignored. Using publicly available operational loss data, we analyze the effects of model misspecification on resulting expected loss, Value-at-Risk, and Conditional Value-at-Risk figures and show that underestimation of the regulatory capital is a consequence of such model error. The choice of an adequate loss distribution is conducted via in-sample goodness-of-fit procedures and backtesting, using both classical and robust methodologies.
机译:最近完成的《巴塞尔新资本协议》要求银行采用一种程序来估算操作风险资本支出。根据目前所有大型国际活跃的美国银行所强制执行的“高级计量方法”,要求使用历史性经营亏损数据。运营损失数据库的最低记录阈值通常约为10,000美元。我们证明了当忽略阈值时,忽略此类阈值会导致相应参数估计值出现偏差。使用公开的经营亏损数据,我们分析了模型错误指定对最终预期亏损,风险价值和条件风险价值数据的影响,并表明对监管资本的低估是这种模型错误的结果。使用经典和稳健的方法,通过样本拟合优度程序和回测来选择适当的损失分布。

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