State-Space Approaches for Modelling and Control in Financial Engineering Systems theory and machine learning methods /

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 s...

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Detaylı Bibliyografya
Yazar: Rigatos, Gerasimos G. (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Intelligent Systems Reference Library, 125
Konular:
Computational intelligence.
Financial risk management.
Nonlinear Optics.
Control engineering.
Dynamics.
Nonlinear theories.
Electronics.
Computational Intelligence.
Risk Management.
Control and Systems Theory.
Applied Dynamical Systems.
Electronics and Microelectronics, Instrumentation.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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. 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.
Fiziksel Özellikler:XXVIII, 310 p. 114 illus., 88 illus. in color. online resource.
ISBN:9783319528663
ISSN:1868-4408 ;
DOI:10.1007/978-3-319-52866-3

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