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020 _a9783319612812
040 _cIIT Kanpur
041 _aeng
082 _a332.0285
_bN856
245 _aNovel methods in computational finance
_cedited by Matthias Ehrhardt, Michael Gunther and E. Jan W. ter Maten
260 _bSpringer
_c2017
_aSwitzerland
300 _axviii, 606p
440 _aMathematics in industry
490 _a/ edited by Hans George Bock; v.25
520 _aThis 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 book offers a valuable guide for researchers in computational finance and related areas, e.g. energy markets, with an interest in industrial mathematics.
650 _aFinance -- Mathematical models
700 _aEhrhardt, Matthias [ed.]
700 _aGunther, Michael [ed.]
700 _aMaten, E. Jan W. ter [ed.]
942 _cBK
999 _c558392
_d558392