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State-space approaches for modelling...
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Rigatos, Gerasimos G.
State-space approaches for modelling and control in financial engineeringsystems theory and machine learning methods /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
State-space approaches for modelling and control in financial engineeringby Gerasimos G. Rigatos.
其他題名:
systems theory and machine learning methods /
作者:
Rigatos, Gerasimos G.
出版者:
Cham :Springer International Publishing :2017.
面頁冊數:
xxviii, 310 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
Financial engineeringMathematics.
電子資源:
http://dx.doi.org/10.1007/978-3-319-52866-3
ISBN:
9783319528663$q(electronic bk.)
State-space approaches for modelling and control in financial engineeringsystems theory and machine learning methods /
Rigatos, Gerasimos G.
State-space approaches for modelling and control in financial engineering
systems theory and machine learning methods /[electronic resource] :by Gerasimos G. Rigatos. - Cham :Springer International Publishing :2017. - xxviii, 310 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v.1251868-4394 ;. - Intelligent systems reference library ;v.24..
The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in financial systems when these are described in the form of nonlinear ordinary differential equations. It then addresses problems associated with the control and estimation of financial systems governed by partial differential equations (e.g. the Black-Scholes partial differential equation (PDE) and its variants) Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support financial engineers in decision making. The application of state-space models in financial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for finance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of financial systems to be established. Covering the following key areas of financial engineering: (i) control and stabilization of financial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in financial engineering. It is also a useful resource for the engineering and computer science community.
ISBN: 9783319528663$q(electronic bk.)
Standard No.: 10.1007/978-3-319-52866-3doiSubjects--Topical Terms:
779703
Financial engineering
--Mathematics.
LC Class. No.: HG176.7
Dewey Class. No.: 658.15
State-space approaches for modelling and control in financial engineeringsystems theory and machine learning methods /
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