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Academic literature on the topic 'Stratégies d’arbitrage'
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Journal articles on the topic "Stratégies d’arbitrage"
Mahmoud-Jouini, Sihem Ben, and Sophie Mignon. "Entrepreneuriat familial et stratégies de pérennité : contribution au concept d’innovation prudentielle." Management international 14, no. 1 (February 9, 2010): 25–41. http://dx.doi.org/10.7202/039137ar.
Full textDufour-Maître, Myriam. "Femmes, querelles galantes du dix-septième siècle et histoire littéraire." Romanic Review 112, no. 3 (December 1, 2021): 372–88. http://dx.doi.org/10.1215/00358118-9377318.
Full text"Urgence sanitaire et déconfinement : questionnements pour la société et les médecins généralistes." EXERCER 31, no. 163 (May 1, 2020): 224–25. http://dx.doi.org/10.56746/exercer.2020.163.224.
Full textDissertations / Theses on the topic "Stratégies d’arbitrage"
Fereres, Yohan. "Stratégies d’arbitrage systématique multi-classes d'actifs et utilisation de données hétérogènes." Thesis, Paris Est, 2013. http://www.theses.fr/2013PEST0075/document.
Full textFinancial markets evolve more or less rapidly and strongly to all kind of information depending on time period of study. In this context, we intend to measure a broad set of information influence on systematic multi-assets classes “euro neutral” arbitrage portfolios either for “naive” diversification and optimal diversification. Our research focuses on systematic tactical asset allocation and we group these information under the name of heterogeneous data (market data and “other market information”). Market data are “end of day” asset closing prices and “other market information” gather economic cycle, sentiment and volatility indicators. We assess the influence of a heterogeneous data combination on our arbitrage portfolios for a time period including the subprimes crisis period and thanks to data analysis and quantization algorithms. The impact of a heterogeneous data combination on our arbitrage portfolio is materialized by increasing return, increasing return/volatility ratio for the post subprimes crisis period, decreasing volatility and asset class correlations. These empirical findings suggest that “other market information” presence could be an element of arbitrage portfolio risk diversification. Furthermore, we investigate and bring empirical results to Blitz and Vliet (2008) issue on global tactical asset allocation (GTAA) by considering “predictive” variables with a systematic market timing process integrating heterogeneous data thanks to a quantitative data processing
Al, Wakil Anmar. "Modélisation de la Volatilité Implicite, Primes de Risque d’Assurance, et Stratégies d’Arbitrage de Volatilité." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLED047/document.
Full textVolatility strategies have flourished since the Great Financial Crisis in 2008. Nevertheless, the recent catastrophic performance of such exchange-traded products has put into question their contributions for portfolio hedging and diversification. My thesis work aims to rethink and reinvent the philosophy of volatility strategies.From a preliminary empirical study based on the expected utility theory, Chapter 1 makes a diagnostic of traditional volatility strategies, based on buy-and-hold investments and passive replication of implied volatility. It exhibits that, although such portfolio hedging significantly outperforms traditional hedging, it appears strongly inappropriate for risk-loving investors.Chapter 2 paves the way for a new generation of volatility strategies, active, option-based and factor-based investing. Indeed, our both analytical and empirical decomposition of implied volatility smiles into a combination of implied risk premia, distinct and tradeable, enables to harvest actively the compensation for bearing higher-order risks. These insurance risk premia measure the pricing discrepanciesbetween the risk-neutral and the physical probability distributions.Finally, Chapter 3 compares our factor-based investing approach to the strategies usually employed in the hedge fund universe. Our essay clearly evidences that our tail risk premia strategies are incremental determinants in the hedge fund performance, in both the time-series and the cross-section of returns. Hence, we exhibit to what extent hedge fund alpha actually arises from selling crash insurance strategies against tail risks
Boyer, Baptiste. "Optimisation des ressources dans un système énergétique complexe au moyen de modèles fonctionnels." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG033.
Full textIn order to face the increasing complexity of the developed systems, this thesis proposes a multi-view methodological approach allowing to accompany the stages of the development cycle of complex systems, including multi-energy systems, from their design to their real time control. A level of arbitration between the different missions of the system is also introduced and enables to test several strategies. This level is illustrated in the case of the electric vehicle with arbitrations between autonomy, vehicle speed and passenger comfort. Functional modeling, on which this work focuses, is the cornerstone of the methodology. This describes in a modular way and through the use of just necessary mathematical models and energy links the behavior of the elements of the system and their interactions. In order to take into account the dynamic response of the elements, their constraints and disturbances, some predictive control algorithms ``PFC'' are developed and implemented within the functional elements. These algorithms are also used to introduce an optimization problem to manage the resources allocation process in a multiple source system. These concepts are applied to the control of a wind farm coupled with a storage unit, taking into account congestion constraints on the electric grid. Finally, the adaptation of this methodology to the optimization of multi-energy systems raises new issues, including the coupling between several energy fields, the consideration of discrete manipulable variables and a conflict between the need for both a high prediction horizon and a fine temporal resolution. To address this issue, the functional model is coupled to two higher levels of optimization that allow to determine respectively the optimal system architecture and the source commitment schedule. This approach is validated on the design and the control of a multi-energy urban network in the town of Bolbec