State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods: 125 (Intelligent Systems Reference Library) - Softcover

Rigatos, Gerasimos G.

 
9783319850047: State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods: 125 (Intelligent Systems Reference Library)
Softcover
ISBN 10: 3319850040 ISBN 13: 9783319850047
Verlag: Springer, 2018

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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Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
3319850040
ISBN 13 
9783319850047
Einband
Tapa blanda
Anzahl der Seiten
340
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
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Hamburg
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9783319528656: State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods: 125 (Intelligent Systems Reference Library, 125)

Vorgestellte Ausgabe

ISBN 10:  3319528653 ISBN 13:  9783319528656
Verlag: Springer, 2017
Hardcover