Dynamic Portfolio Strategies: quantitative methods and empirical rules for incomplete information: Quantitative Methods and Empirical Rules for ... Operations Research & Management Science, 47) - Softcover
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Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information investigates optimal investment problems for stochastic financial market models. It is addressed to academics and students who are interested in the mathematics of finance, stochastic processes, and optimal control, and also to practitioners in risk management and quantitative analysis who are interested in new strategies and methods of stochastic analysis.
While there are many works devoted to the solution of optimal investment problems for various models, the focus of this book is on analytical strategies based on "technical analysis" which are model-free. The technical analysis of these strategies has a number of characteristics. Two of the more important characteristics are: (1) they require only historical data, and (2) typically they are more widely used by traders than analysis based on stochastic models. Hence it is the objective of this book to reduce the gap between model-free strategies and strategies that are "optimal" for stochastic models. We hope that researchers, students and practitioners will be interested in some of the new empirically based methods of "technical analysis" strategies suggested in this book and evaluated via stochastic market models.
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Dynamic Portfolio Strategies: quantitative methods and empirical rules for incomplete information
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information investigates optimal investment problems for stochastic financial market models. It is addressed to academics and students who are interested in the mathematics of finance, stochastic processes, and optimal control, and also to practitioners in risk management and quantitative analysis who are interested in new strategies and methods of stochastic analysis. While there are many works devoted to the solution of optimal investment problems for various models, the focus of this book is on analytical strategies based on 'technical analysis' which are model-free. The technical analysis of these strategies has a number of characteristics. Two of the more important characteristics are: (1) they require only historical data, and (2) typically they are more widely used by traders than analysis based on stochastic models. Hence it is the objective of this book to reduce the gap between model-free strategies and strategies that are 'optimal' for stochastic models. We hope that researchers, students and practitioners will be interested in some of the new empirically based methods of 'technical analysis' strategies suggested in this book and evaluated via stochastic market models. 228 pp. Englisch. Seller Inventory # 9781461353058
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Dynamic Portfolio Strategies: quantitative methods and empirical rules for incomplete information
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information investigates optimal investment problems for stochastic financial market models. It is addressed to academics and students who are interest. Seller Inventory # 4193539
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Dynamic Portfolio Strategies: quantitative methods and empirical rules for incomplete information : Quantitative Methods and Empirical Rules for Incomplete Information
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information investigates optimal investment problems for stochastic financial market models. It is addressed to academics and students who are interested in the mathematics of finance, stochastic processes, and optimal control, and also to practitioners in risk management and quantitative analysis who are interested in new strategies and methods of stochastic analysis. While there are many works devoted to the solution of optimal investment problems for various models, the focus of this book is on analytical strategies based on 'technical analysis' which are model-free. The technical analysis of these strategies has a number of characteristics. Two of the more important characteristics are: (1) they require only historical data, and (2) typically they are more widely used by traders than analysis based on stochastic models. Hence it is the objective of this book to reduce the gap between model-free strategies and strategies that are 'optimal' for stochastic models. We hope that researchers, students and practitioners will be interested in some of the new empirically based methods of 'technical analysis' strategies suggested in this book and evaluated via stochastic market models. Seller Inventory # 9781461353058
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Dynamic Portfolio Strategies
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Dynamic Portfolio Strategies: quantitative methods and empirical rules for incomplete information (International Series in Operations Research & Management Science)
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Dynamic Portfolio Strategies: quantitative methods and empirical rules for incomplete information | Quantitative Methods and Empirical Rules for Incomplete Information
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Taschenbuch. Condition: Neu. Dynamic Portfolio Strategies: quantitative methods and empirical rules for incomplete information | Quantitative Methods and Empirical Rules for Incomplete Information | Nikolai Dokuchaev | Taschenbuch | xxvi | Englisch | 2012 | Springer | EAN 9781461353058 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 105650258
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Dynamic Portfolio Strategies: quantitative methods and empirical rules for incomplete information
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information investigates optimal investment problems for stochastic financial market models. It is addressed to academics and students who are interested in the mathematics of finance, stochastic processes, and optimal control, and also to practitioners in risk management and quantitative analysis who are interested in new strategies and methods of stochastic analysis.While there are many works devoted to the solution of optimal investment problems for various models, the focus of this book is on analytical strategies based on 'technical analysis' which are model-free. The technical analysis of these strategies has a number of characteristics. Two of the more important characteristics are: (1) they require only historical data, and (2) typically they are more widely used by traders than analysis based on stochastic models. Hence it is the objective of this book to reduce the gap between model-free strategies and strategies that are 'optimal' for stochastic models. We hope that researchers, students and practitioners will be interested in some of the new empirically based methods of 'technical analysis' strategies suggested in this book and evaluated via stochastic market models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch. Seller Inventory # 9781461353058