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

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Synopsis

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

Book details

Series:
Intelligent Systems Reference Library (Book 125)
Author:
Gerasimos G. Rigatos
ISBN:
9783319528663
Related ISBNs:
9783319528656
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2018-10-04
Usage restrictions:
Copyright
Copyright date:
2017
Copyright by:
Springer International Publishing, Cham 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Nonfiction, Science, Technology