State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods
Rigatos, Gerasimos G.
ISBN 10: 3319850040 ISBN 13: 9783319850047
Verlag: Springer, 2018
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Beschreibung:
2018. Softcover reprint of the original 1st ed. 2017. paperback. . . . . . Bestandsnummer des Verkäufers V9783319850047
Inhaltsangabe:
The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in financial systems when these are described in the form of nonlinear ordinary differential equations. It then addresses problems associated with the control and estimation of financial systems governed by partial differential equations (e.g. the Black–Scholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support financial engineers in decision making.
The application of state-space models in financial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for finance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of financial systems to be established.
Coveringthe following key areas of financial engineering: (i) control and stabilization of financial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in financial engineering. It is also a useful resource for the engineering and computer science community
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The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in ?nancial systems when these are described in the form of nonlinear ordinary di?erential equations. It then addresses problems associated with the control and estimation of ?nancial systems governed by partial di?erential equations (e.g. the Black Scholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support ?nancial engineers in decision making.
The application of state-space models in ?nancial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for ?nance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of ?nancial systems to be established.
Covering the following key areas of ?nancial engineering: (i) control and stabilization of ?nancial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in ?nancial engineering. It is also a useful resource for the engineering and computer science community
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Bibliografische Details
Titel: State-Space Approaches for Modelling and ...
Verlag: Springer
Erscheinungsdatum: 2018
Einband: Softcover
Zustand: New
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State-Space Approaches for Modelling and Control in Financial Engineering
Verlag:
Springer International Publishing, 2018
ISBN 10: 3319850040
ISBN 13: 9783319850047
Neu
Softcover
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents new findings useful for academic teaching and research and to develop systematic methods for management and risk minimization in financial systemsSolves in a conclusive manner problems associated with the control and stabilization of nonli. Bestandsnummer des Verkäufers 448758851
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State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods (Intelligent Systems Reference Library, 125)
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State-space Approaches for Modelling and Control in Financial Engineering : Systems Theory and Machine Learning Methods
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State-Space Approaches for Modelling and Control in Financial Engineering (Paperback)
Verlag:
Springer International Publishing AG, Cham, 2018
ISBN 10: 3319850040
ISBN 13: 9783319850047
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Paperback. Zustand: new. Paperback. The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in nancial systems when these are described in the form of nonlinear ordinary dierential equations. It then addresses problems associated with the control and estimation of nancial systems governed by partial dierential equations (e.g. the BlackScholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support nancial engineers in decision making.The application of state-space models in nancial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for nance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of nancial systems to be established.Coveringthe following key areas of nancial engineering: (i) control and stabilization of nancial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in nancial engineering. It is also a useful resource for the engineering and computer science community Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783319850047
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State-Space Approaches for Modelling and Control in Financial Engineering : Systems theory and machine learning methods
ISBN 10: 3319850040
ISBN 13: 9783319850047
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in financial systems when these are described in the form of nonlinear ordinary di erential equations. It then addresses problems associated with the control and estimation of financial systems governed by partial di erential equations (e.g. the Black-Scholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support financial engineers in decision making.The application of state-space models in financial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for finance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of financial systems to be established.Coveringthe following key areas of financial engineering: (i) control and stabilization of financial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in financial engineering. It is also a useful resource for the engineering and computer science community. Bestandsnummer des Verkäufers 9783319850047
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State-Space Approaches for Modelling and Control in Financial Engineering
ISBN 10: 3319850040
ISBN 13: 9783319850047
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Taschenbuch. Zustand: Neu. Neuware -The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in ¿nancial systems when these are described in the form of nonlinear ordinary di¿erential equations. It then addresses problems associated with the control and estimation of ¿nancial systems governed by partial di¿erential equations (e.g. the Black¿Scholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support ¿nancial engineers in decision making.The application of state-space models in ¿nancial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for ¿nance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of ¿nancial systems to be established.Coveringthe following key areas of ¿nancial engineering: (i) control and stabilization of ¿nancial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in ¿nancial engineering. It is also a useful resource for the engineering and computer science communitySpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch. Bestandsnummer des Verkäufers 9783319850047
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State-Space Approaches for Modelling and Control in Financial Engineering
Verlag:
Springer International Publishing Mai 2018, 2018
ISBN 10: 3319850040
ISBN 13: 9783319850047
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in financial systems when these are described in the form of nonlinear ordinary di erential equations. It then addresses problems associated with the control and estimation of financial systems governed by partial di erential equations (e.g. the Black-Scholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support financial engineers in decision making.The application of state-space models in financial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for finance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of financial systems to be established.Covering the following key areas of financial engineering: (i) control and stabilization of financial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in financial engineering. It is also a useful resource for the engineering and computer science community 340 pp. Englisch. Bestandsnummer des Verkäufers 9783319850047
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State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods (Intelligent Systems Reference Library, 125)
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State-space Approaches for Modelling and Control in Financial Engineering : Systems Theory and Machine Learning Methods
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State-Space Approaches for Modelling and Control in Financial Engineering : Systems theory and machine learning methods
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