References of "Boissaux, Marc"
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See detailA performance evaluation of weight-constrained conditioned portfolio optimization
Schiltz, Jang UL; Boissaux, Marc

Scientific Conference (2016, December 15)

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See detailA performance evaluation of weight-constrained conditioned portfolio optimization
Schiltz, Jang UL; Boissaux, Marc

Scientific Conference (2015, July 22)

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See detailConditioned Higher Moment Portfolio Optimisation Using Optimal Control
Boissaux, Marc; Schiltz, Jang UL

Scientific Conference (2013, July 01)

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See detailA Numerical Scheme for Multisignal Weight Constrained Conditioned Portfolio Optimisation Problems
Boissaux, Marc; Schiltz, Jang UL

E-print/Working paper (2013)

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See detailConditioned Higher Moment Portfolio Optimisation Using Optimal Control
Boissaux, Marc; Schiltz, Jang UL

in Terraza, Virginie; Razaafitombo, H. (Eds.) Understanding Investment Funds: Insights from Performance and Risk Analysis (2013)

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See detailPractical Weight-Constrained Conditioned Portfolio Optimization Using Risk Aversion Indicator Signals
Schiltz, Jang UL; Boissaux, Marc

Scientific Conference (2012)

Within a traditional context of myopic discrete-time mean-variance portfolio optimisation, the problem of conditioned optimisation, in which predictive information about returns contained in a signal is ... [more ▼]

Within a traditional context of myopic discrete-time mean-variance portfolio optimisation, the problem of conditioned optimisation, in which predictive information about returns contained in a signal is used to inform the choice of portfolio weights, was rst expressed and solved in concrete terms by Ferson and Siegel ([1]). An optimal control formulation of conditioned portfolio problems was proposed and justi ed by Boissaux and Schiltz ([2]). This opens up the possibility of solving variants of the basic problem that do not allow for closed-form solutions through the use of standard numerical algorithms used for the discretisation of optimal control problems. The present paper contributes to the empirical literature on this topic. Risk aversion (or, equivalently, risk appetite) indicators, aiming to quantify di erent time-varying de nitions of investor attitudes toward risk, are both provided by nancial service providers and discussed in the academic literature - see e.g. Coudert and Gex ([3]). We compare the performance of strategies resulting from conditioned optimisation and using several possible indicators for signalling purposes, to that obtained using standard approaches to portfolio investment. In particular, we report on both ex ante improvements to the accessible e cient frontier as measured through the typical associated metrics such as the Sharpe ratio, and ex post results a ected, most notably, by speci cation errors regarding the relationship between signal and returns. We then discuss di erent problem parameters, examine their impact on performance and check whether signi cant ex post improvements may be achieved through optimal parameter selection. [less ▲]

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See detailConditioned Higher Moment Portfolio Optimisation Using Optimal Control
Boissaux, Marc; Schiltz, Jang UL

E-print/Working paper (2012)

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See detailPractical Weight-Constrained Conditioned Portfolio Optimisation Using Risk Aversion Indicator Signals
Boissaux, Marc; Schiltz, Jang UL

Scientific Conference (2011, May 25)

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See detailPractical weight-constrained condiitoned portfolio optimisation using risk aversion indicator signals
Boissaux, Marc; Schiltz, Jang UL

Scientific Conference (2011, March 18)

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See detailPractical weight-constrained conditioned portfolio optimisation using risk aversion indicator signals
Boissaux, Marc; Schiltz, Jang UL

E-print/Working paper (2011)

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See detailAn Optimal Control Solution to the Constrained Weight Portfolio Optimisation Problem with Conditioning Information
Boissaux, Marc; Schiltz, Jang UL

Scientific Conference (2010, June 04)

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See detailAn Optimal Control Approach to Portfolio Optimisation with Conditioning Information
Boissaux, Marc; Schiltz, Jang UL

Scientific Conference (2010, May 04)

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See detailAn Optimal Control Approach to Portfolio Optimisation with Conditioning Information
Boissaux, Marc; Schiltz, Jang UL

E-print/Working paper (2010)

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