Portfolio Management under Stress

A Bayesian-Net Approach to Coherent Asset Allocation

Business & Finance, Finance & Investing, Finance, Nonfiction, Science & Nature, Mathematics
Cover of the book Portfolio Management under Stress by Riccardo Rebonato, Alexander Denev, Cambridge University Press
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Author: Riccardo Rebonato, Alexander Denev ISBN: 9781107703391
Publisher: Cambridge University Press Publication: January 9, 2014
Imprint: Cambridge University Press Language: English
Author: Riccardo Rebonato, Alexander Denev
ISBN: 9781107703391
Publisher: Cambridge University Press
Publication: January 9, 2014
Imprint: Cambridge University Press
Language: English

Portfolio Management under Stress offers a novel way to apply the well-established Bayesian-net methodology to the important problem of asset allocation under conditions of market distress or, more generally, when an investor believes that a particular scenario (such as the break-up of the Euro) may occur. Employing a coherent and thorough approach, it provides practical guidance on how best to choose an optimal and stable asset allocation in the presence of user specified scenarios or 'stress conditions'. The authors place causal explanations, rather than association-based measures such as correlations, at the core of their argument, and insights from the theory of choice under ambiguity aversion are invoked to obtain stable allocations results. Step-by-step design guidelines are included to allow readers to grasp the full implementation of the approach, and case studies provide clarification. This insightful book is a key resource for practitioners and research academics in the post-financial crisis world.

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Portfolio Management under Stress offers a novel way to apply the well-established Bayesian-net methodology to the important problem of asset allocation under conditions of market distress or, more generally, when an investor believes that a particular scenario (such as the break-up of the Euro) may occur. Employing a coherent and thorough approach, it provides practical guidance on how best to choose an optimal and stable asset allocation in the presence of user specified scenarios or 'stress conditions'. The authors place causal explanations, rather than association-based measures such as correlations, at the core of their argument, and insights from the theory of choice under ambiguity aversion are invoked to obtain stable allocations results. Step-by-step design guidelines are included to allow readers to grasp the full implementation of the approach, and case studies provide clarification. This insightful book is a key resource for practitioners and research academics in the post-financial crisis world.

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