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arXiv 0806.2582math.PR
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效用最大化问题的统一框架:Orlicz空间方法

A unified framework for utility maximization problems: An Orlicz space approach

Sara Biagini, Marco Frittelli

摘要:

考虑一个随机金融不完全市场,其中价格过程由一个可能非局部有界的向量值半鞅描述。我们面临的经典问题的效用最大化从终端财富,与效用函数是有限值的$(a,\infty)$,$a\in\lbrack-\infty,\infty)$,并满足弱正则性假设。我们采用一类交易策略,允许随机积分,不一定从下面有界。将效用最大化问题嵌入到Orlicz空间中,使得我们能够以统一的方式对$a\in\mathbb{R}$和$a=-\infty$这两种情况下的问题进行表述。通过对偶方法,我们证明了原始问题和对偶问题解的存在性,并证明了当效用函数在整条实数线上有限时,定价泛函中的奇异成分也可能出现.

英文摘要:

We consider a stochastic financial incomplete market where the price processes are described by a vector-valued semimartingale that is possibly nonlocally bounded. We face the classical problem of utility maximization from terminal wealth, with utility functions that are finite-valued over $(a,\infty)$, $a\in\lbrack-\infty,\infty)$, and satisfy weak regularity assumptions. We adopt a class of trading strategies that allows for stochastic integrals that are not necessarily bounded from below. The embedding of the utility maximization problem in Orlicz spaces permits us to formulate the problem in a unified way for both the cases $a\in\mathbb{R}$ and $a=-\infty$. By duality methods, we prove the existence of solutions to the primal and dual problems and show that a singular component in the pricing functionals may also occur with utility functions finite on the entire real line.

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