首页> 外文会议>Fourth International Conference on Neural Networks in the Capital Markets (NNCM'96) Pasadena, California, USA 20-22 November 1996 >Simulating interest rate structure evolution on a long term horizon a kohonen map application
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Simulating interest rate structure evolution on a long term horizon a kohonen map application

机译:在Kohonen地图应用程序中长期模拟利率结构演变

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In the 90s, a new approch to model risk was proposed and named Value at Risk (VaR). Pioneered by JP Morgan (RiskMetrics), VaP has initiated a lot of debate. One of the major shortcoming of RiskMetrics is its inability to generate scenarios on a long term horizon (the Monte-Carlo procedure proposed does not produce the classical mean-reverting properties of interest rate structure dynamics). In this paper, we propose an alternative approach, also based on a Monte-Carlo simulation procedure, but using a Kohonon map quantization to construct conditional probability distributions of interest rate structure shocks. The procedure is not only able to produce interest rate structure scenarios which are stable on a long term horizon (finve years) but also these scenarios exhibit properties compatible with the historical interest rate structure evolution used to compute the conditional probability distributions.
机译:在90年代,提出了一种模拟风险的新方法,并将其命名为“风险价值(VaR)”。 VaP由JP Morgan(RiskMetrics)率先提出,引发了很多争论。 RiskMetrics的主要缺点之一是无法长期生成情景(建议的Monte-Carlo程序不会产生利率结构动力学的经典均值回复特性)。在本文中,我们提出了一种替代方法,该方法也基于蒙特卡洛模拟程序,但是使用Kohonon映射量化来构造利率结构冲击的条件概率分布。该程序不仅能够生成长期(五年)内稳定的利率结构方案,而且这些方案还具有与用于计算条件概率分布的历史利率结构演变兼容的属性。

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