关于转换GEV随机变量的应力强度可靠性与对金融资产选择的应用
Melquisadec Oliveira1, Felipe S Quintino1, Dióscoros Aguiar2
1Department of Statistics, University of Brasília, Brasília 70910-900, DF, Brazil.
Entropy (Basel, Switzerland)
|June 26, 2024
概括
本研究引入了一个新的可靠性度量,R=P(X
科学领域:
- 统计 统计 统计 统计
- 可能性理论概率理论.
- 金融数学 金融数学
背景情况:
- 像R=P(X
- 现有的方法在建模复杂的变量行为时往往缺乏灵活性.
研究的目的:
- 为可靠性指标R=P(X
- 将这些发现应用于使用转换的通用极值分布 (TGEV) 选择金融资产.
- 与现有文献相比,提供一种更灵活的方法.
主要方法:
- 使用特殊函数推导R的分析关系.
- 模拟随机变量X和Y与转换的一般化极值 (TGEV) 分布.
- 进行蒙特卡洛模拟研究以验证结果.
主要成果:
- 为R=P(X
- 在建模金融资产回报时,TGEV分布被证明是有效的.
- 可靠性指标R在选择金融资产时显示出有用性.
结论:
- 导出可靠性指标R=P(X
- 这种方法为现代投资组合理论等传统方法提供了有价值的替代方案.
- 该研究强调了先进的概率分布在金融中的实际应用.
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