局部适应风险最小化

S. Chule
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引用次数: 0

摘要

风险价格的显著超额,版本论文中的研究问题,[S]。Chule,在应用数学金融,提交2016年6月],是空间域形式重新评估为溢价风险的随机问题目标。传统的一般复制方法对波动风险的适应性在二次套期保值方法的结构上是耗散的。所执行的计算,量子复合对于k= 1k金融资产,k的几何状态,完美的子状态稀疏的功能形式适应在生成的韦纳过程和中长期58个月。利用无风险回购利率,推导出JSE-FINI指数(J212)的相对状态空间依赖逆境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locally Adapt Risks Minimizing
The significant excess of the price of risk, research question in the version paper, [S. Chule, in Applied Mathematical Finance, submitted June 2016], is space-domain form re-evaluated into the stochastic problem objective of the premium risk. The adapts of the conventional generic replication method for the volatility risk is dissipative on the structure of the quadratic hedging approach. The computations performed, quantum composite for k=1 K financial assets over, the K geometric states, perfect sub-state sparsity of the functional-form adapt in the generated Weiner process and the mid-long term period of 58 months. The relative, state-space dependence adversity are deduced in the JSE-FINI index (J212) using the risk-free Repo interest rates.
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