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Portfolio management under risk contraints - Lectures given at MITACS-PIMS-UBC Summer School in Risk Management and Risk Sharing

机译:风险约束下的投资组合管理 - 讲座于   mITaCs-pIms-UBC风险管理和风险分担暑期学校

摘要

The aim of these lectures at MITACS-PIMS-UBC Summer School in Risk Man-agement and Risk Sharing is to discuss risk controlled approaches for thepricing and hedging of financial risks. We will start with the classical dualapproach for financial markets, which al- lows to rewrite super-hedgingproblems in terms of optimal control problems in standard form. Based on this,we shall then consider hedging and pricing prob- lems under utility or riskminimization criteria. This approach will turn out to be powerful wheneverlinear (or essentially linear) problems are considered, but not adapted to moregeneral settings with non-linear dynamics (e.g. large investor models, highfrequency trading with market impact features, mixed finance/insurance issues).In the second part of this lecture, we will develop on a new approach for riskcontrol problems based on a stochastic target formulation. We will see howflexible this approach is and how it allows to characterize very easily super-hedging prices in term of suitable Hamilton-Jacobi-Bellman type partial differ-ential equations (PDEs). We will then see how quantile hedging and expectedloss pricing problems can be embeded into this framework, for a very largeclass of financial models. We shall finally consider a simple example ofoptimal book liquidation in which the control is a continuous non-decreasingprocess, as an illustration of possible practical developments in optimaltrading under risk constraint.These lectures are organized in small chapters,each of them being focused on a particular aspect.
机译:这些在MITACS-PIMS-UBC暑期学校进行的风险管理和风险共享讲座的目的是讨论风险控制方法,以对金融风险进行定价和对冲。我们将从针对金融市场的经典双重方法开始,该方法允许按照标准形式的最佳控制问题来重写超级套期保值问题。基于此,我们将考虑效用或风险最小化标准下的对冲和定价问题。每当考虑到线性(或本质上是线性)问题时,这种方法将变得强大,但不适用于具有非线性动力学的更一般的设置(例如,大型投资者模型,具有市场影响特征的高频交易,混合金融/保险问题)。在本讲座的第二部分,我们将基于随机目标公式,开发一种用于风险控​​制问题的新方法。我们将看到这种方法的灵活性,以及​​如何通过合适的Hamilton-Jacobi-Bellman型偏微分方程(PDE)轻松地表征超对冲价格。然后,我们将了解如何针对非常庞大的金融模型将分位数套期保值和预期损失定价问题嵌入该框架。我们最后将考虑一个最优清算的简单例子,其中控制是一个连续的非递减过程,以说明在风险约束下最优交易的可能实际发展。这些讲座分小章,每章都针对特定的主题。方面。

著录项

  • 作者

    Bouchard, Bruno;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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