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Novel Methods in Computational Finance

Novel Methods in Computational Finance
Catalogue Information
Field name Details
Dewey Class 515.353
Title Novel Methods in Computational Finance ([EBook]) / edited by Matthias Ehrhardt, Michael G?nther, E. Jan W. ter Maten.
Added Personal Name Ehrhardt, Matthias editor.
G?nther, Michael editor.
ter Maten, E. Jan W. editor.
Other name(s) SpringerLink (Online service)
Publication Cham : : Springer International Publishing : : Imprint: Springer, , 2017.
Physical Details XVIII, 606 p. 194 illus., 93 illus. in color. : online resource.
Series Mathematics in Industry 1612-3956 ; ; 25
ISBN 9783319612829
Summary Note This book discusses the state-of-the-art and open problems in computational finance. It presents a collection of research outcomes and reviews of the work from the STRIKE project, an FP7 Marie Curie Initial Training Network (ITN) project in which academic?partners trained early-stage researchers in close cooperation with a broader range of associated partners, including from the private sector. The aim of the project was to arrive at a deeper understanding of complex (mostly nonlinear) financial models and to develop effective and robust numerical schemes for solving linear and nonlinear problems arising from the mathematical theory of pricing financial derivatives and related financial products. This was accomplished by means of financial modelling, mathematical analysis and numerical simulations, optimal control techniques and validation of models. In recent years the computational complexity of mathematical models employed in financial mathematics has witnessed tremendous growth. Advanced numerical techniques are now essential to the majority of present-day applications in the financial industry. Special attention is devoted to a uniform methodology for both testing the latest achievements and simultaneously educating young PhD students. Most of the mathematical codes are linked into a novel computational finance toolbox, which is provided in MATLAB and PYTHON with an open access license.?The bookoffers a valuable guide for researchers in computational finance and related areas, e.g. energy markets, with an interest in industrial mathematics.:
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-3-319-61282-9
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