A Risk Management Approach for Portfolio Insurance Strategies
Benjamin Hamidi (),
Bertrand Maillet and
Jean-Luc Prigent ()
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Benjamin Hamidi: Centre d'Economie de la Sorbonne et A.A.Advisors-QCG (ABN AMRO)Variances, http://centredeconomiesorbonne.univ-paris1.fr
Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne
Controlling and managing potential losses is one of the main objectives of the Risk Management. Following Ben Ameur and Prigent (2007) and Chen et al. (2008), and extending the first results by Hamidi et al. (2009) when adopting a risk management approach for defining insurance portfolio strategies, we analyze and illustrate a specific dynamic portfolio insurance strategy depending on the Value-at-Risk level of the covered portfolio on the French stock market. This dynamic approach is derived from the traditional and popular portfolio insurance strategy (Cf. Black and Jones, 1987 ; Black and Perold, 1992): the so-called "Constant Proportion Portfolio Insurance" (CPPI). However, financial results produced by this strategy crucially depend upon the leverage - called the multiple - likely guaranteeing a predetermined floor value whatever the plausible market evolutions. In other words, the unconditional multiple is defined once and for all in the traditional setting. The aim of this article is to further examine an alternative to the standard CPPI method, based on the determination of a conditional multiple. In this time-varying framework, the multiple is conditionally determined in order to remain the risk exposure constant, even if it also depends upon market conditions. Furthermore, we propose to define the multiple as a function of an extended Dynamic AutoRegressive Quantile model of the Value-at-Risk (DARQ-VaR). Using a French daily stock database (CAC 40) and individual stocks in the period 1998-2008), we present the main performance and risk results of the proposed Dynamic Proportion Portfolio Insurance strategy, first on real market data and secondly on artificial bootstrapped and surrogate data. Our main conclusion strengthens the previous ones : the conditional Dynamic Strategy with Constant-risk exposure dominates most of the time the traditional Constant-asset exposure unconditional strategies
Keywords: CPPI; portfolio insurance; VaR, CAViaR; quantile regression; dynamic quantile model (search for similar items in EconPapers)
JEL-codes: G11 C13 C14 C22 C32 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-fmk, nep-ias and nep-rmg
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Working Paper: A Risk Management Approach for Portfolio Insurance Strategies (2009)
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Persistent link: http://EconPapers.repec.org/RePEc:mse:cesdoc:09034
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