Risk measures on incomplete markets: a new non-solid paradigm

Vasily Melnikov
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Abstract

The abstract theory of risk measures is well-developed for certain classes of solid subspaces of $L^{0}$. We provide an example to illustrate that this framework is insufficient to deal with the subtleties of incomplete markets. To remedy this problem, we consider risk measures on the subspace generated by a closed, absolutely convex, and bounded subset $K\subset L^{0}$, which represents the attainable securities. In this context, we introduce the equicontinuous Fatou property. Under the existence of a certain topology $\tau$ on $\mathrm{span}(K)$, interpreted as a generalized weak-star topology, we obtain an equivalence between the equicontinuous Fatou property, and lower semicontinuity with respect to $\tau$. As a corollary, we obtain tractable dual representations for such risk measures, which subsumes essentially all known results on weak-star representations of risk measures. This dual representation allows one to prove that all risk measures of this form extend, in a maximal way, to the ideal generated by $\mathrm{span}(K)$ while preserving a Fatou-like property.
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不完全市场的风险度量:一种新的非稳固范式
对于 $L^{0}$ 的某些实体子空间类别,风险度量的抽象理论已经非常成熟。我们举例说明这一框架不足以处理不完全市场的微妙问题。为了解决这个问题,我们考虑了由封闭的、绝对凸的和有界的子集$K(子集 L^{0}$)所产生的子空间上的风险度量,它代表了可获得的证券。在此背景下,我们引入了连续法图属性。在$\mathrm{span}(K)$上存在某种拓扑$\tau$(可以解释为广义的弱星拓扑)的情况下,我们得到了等连续法图性质与关于$\tau$的低等连续性之间的等价关系。作为一个推论,我们得到了这类风险度量的可操作性对偶表示,它基本上包含了关于风险度量的弱星表示的所有已知结果。这种对偶表示允许我们证明这种形式的所有风险度量都以最大方式扩展到$m\mathrm{span}(K)$所产生的理想中,同时保留了类似法图的性质。
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