Optimal portfolios with expected loss constraints and shortfall risk optimal martingale measures

IF 1.3 Q2 STATISTICS & PROBABILITY
Johannes Leitner
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引用次数: 5

Abstract

Summary We study reward over penalty for risk ratios E[u(V)]/E[ρ(V)], V ∈ V, where V ⊆ L1(P) describes a linear space of attainable returns in an arbitrage-free market, u is concave and ρ ≥ 0 is convex. It turns out that maximizing such reward over penalty ratios is essentially equivalent to maximizing the ratio α(V) := E[V]/E[V−] or the expected profit over expected loss ratio E[V+]/E[V−]. The lowest upper bound α– := supV ∈ Vα(V) can be determined by solving an appropriate dual problem over the set of bounded equivalent martingale measures for V. This observation leads to the definition of shortfall risk optimal equivalent martingale measures.
具有预期损失约束和缺口风险最优鞅测度的最优投资组合
研究风险比E[u(V)]/E[ρ(V)], V∈V的奖惩比,其中V∈L1(P)描述无套利市场中可获得收益的线性空间,u为凹,ρ≥0为凸。事实证明,最大化这种奖励比惩罚比本质上等同于最大化比率α(V):= E[V]/E[V−]或期望利润比期望损失比E[V+]/E[V−]。最低上界α -:= supV∈Vα(V)可通过求解V的有界等价鞅测度集上的一个适当对偶问题来确定,由此得出了短缺风险最优等价鞅测度的定义。
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来源期刊
Statistics & Risk Modeling
Statistics & Risk Modeling STATISTICS & PROBABILITY-
CiteScore
1.80
自引率
6.70%
发文量
6
期刊介绍: Statistics & Risk Modeling (STRM) aims at covering modern methods of statistics and probabilistic modeling, and their applications to risk management in finance, insurance and related areas. The journal also welcomes articles related to nonparametric statistical methods and stochastic processes. Papers on innovative applications of statistical modeling and inference in risk management are also encouraged. Topics Statistical analysis for models in finance and insurance Credit-, market- and operational risk models Models for systemic risk Risk management Nonparametric statistical inference Statistical analysis of stochastic processes Stochastics in finance and insurance Decision making under uncertainty.
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