9783319528656 - State-space Approaches for Modelling and Control in Financial Engineering: Systems Theory and Machine Learning Methods: 125 di Rigatos, Gerasimos G. (15 risultati)

Hardcover. Condizione: As New. 1. Auflage. Unread, like new. Immediately dispatched from Germany.

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Condizione: New. pp. 310.

Hardcover. Condizione: Brand New. 340 pages. 9.25x6.10x1.10 inches. In Stock.

Buch. Condizione: 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.

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: 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.

Gebunden. Condizione: 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.

Condizione: New. Print on Demand pp. 310 This item is printed on demand.

Condizione: New. PRINT ON DEMAND pp. 310.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch.