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State-Space Approaches for Modelling and Control in Financial Engineering - Systems theory and machine learning methods (Paperback, Softcover reprint of the original 1st ed. 2017)
Loot Price: R2,887
Discovery Miles 28 870
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State-Space Approaches for Modelling and Control in Financial Engineering - Systems theory and machine learning methods (Paperback, Softcover reprint of the original 1st ed. 2017)
Series: Intelligent Systems Reference Library, 125
Expected to ship within 10 - 15 working days
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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
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