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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Vendeur : Bookbot, Prague, Rébublique tchèque
Hardcover. Etat : As New. Dynamic Portfolio 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 (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. N° de réf. du vendeur af9c3b6e-57b6-45a2-bdc0-1e8c57d1b6cd
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : 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. N° de réf. du vendeur 9780792376484
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Etat : New. Investigates optimal investment problems for stochastic financial market models. This work is intended for academics and students who are interested in the mathematics of finance, stochastic processes, and optimal control, and also for practitioners in risk management and quantitative analysis. Series: International Series in Operations Research & Management Science. Num Pages: 201 pages, biography. BIC Classification: KJ; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 19. Weight in Grams: 508. . 2002. Hardback. . . . . N° de réf. du vendeur V9780792376484
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Vendeur : moluna, Greven, Allemagne
Gebunden. Etat : 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. N° de réf. du vendeur 5970323
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Vendeur : preigu, Osnabrück, Allemagne
Buch. Etat : Neu. Dynamic Portfolio Strategies: quantitative methods and empirical rules for incomplete information | Quantitative Methods and Empirical Rules for Incomplete Information | Nikolai Dokuchaev | Buch | Einband - fest (Hardcover) | Englisch | 2002 | Springer | EAN 9780792376484 | Verantwortliche Person für die EU: Springer-Verlag KG, Sachsenplatz 4-6, 1201 WIEN, ÖSTERREICH, productsafety[at]springernature[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 102563137
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Buch. Etat : Neu. 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. N° de réf. du vendeur 9780792376484
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Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Etat : New. Investigates optimal investment problems for stochastic financial market models. This work is intended for academics and students who are interested in the mathematics of finance, stochastic processes, and optimal control, and also for practitioners in risk management and quantitative analysis. Series: International Series in Operations Research & Management Science. Num Pages: 201 pages, biography. BIC Classification: KJ; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 19. Weight in Grams: 508. . 2002. Hardback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780792376484
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