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Stochastic Modelling – Boon or Bane for Insurance Industry Capital Regulation?

机译:随机模型–保险业资本监管的利好因素?

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摘要

Regulation of the financial industry should pursue three key objectives: consumer protection, market stability, and competitive efficiency. This article discusses core elements of a capital regime that could be used to develop regulation that meets these objectives while fostering an industry-wide enhancement of risk management. The authors argue that a pre-commitment approach can have considerable advantages over regulation based on (stochastic) risk models, as the latter can have adverse effects, especially on market stability and competitive efficiency, while consumer protection would have to be supplemented by additional requirements (such as scenario tests) in any case. Academic studies on capital regulation based on stochastic models have focused more on banking and less on insurance, while work by insurance practitioners has concentrated on the implications for management. The authors, therefore, wish to contribute to a more fundamental discussion of the design of capital and risk management regulation of the insurance industry. The Geneva Papers (2006) 31, 57–82. doi:10.1057/palgrave.gpp.2510071
机译:金融业监管应追求三个关键目标:保护消费者,市场稳定和竞争效率。本文讨论了资本制度的核心要素,这些要素可以用来制定满足这些目标的法规,同时促进整个行业范围内风险管理的提高。作者认为,预先承诺的方法相对于基于(随机)风险模型的监管具有明显的优势,因为后者可能产生不利影响,尤其是对市场稳定性和竞争效率,而消费者保护则必须以其他要求为补充(例如方案测试)。基于随机模型的资本监管的学术研究更多地集中在银行业务上,而不是保险领域,而保险从业者的工作则集中在对管理的影响上。因此,作者希望对保险业的资本和风险管理法规的设计进行更根本的讨论。日内瓦文件(2006)31,57-82。 doi:10.1057 / palgrave.gpp.2510071

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