High-Performance Computing in Finance

Problems, Methods, and Solutions

M. A. H. Dempster, Juho Kanniainen, John Keane , Erik Vynckier (AllianceBernstein, UK)

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English

Chapman & Hall/CRC
30 September 2020

Econometrics; Economic statistics; Probability & statistics; Applied mathematics; Supercomputers; Computer architecture & logic design

Series: Chapman and Hall/CRC Financial Mathematics Series

High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.

Edited by: M. A. H. Dempster, Juho Kanniainen, John Keane, Erik Vynckier (AllianceBernstein, UK)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780367657345
ISBN 10: 0367657341
Series: Chapman and Hall/CRC Financial Mathematics Series
Pages: 614
Publication Date: 30 September 2020
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Paperback
Publisher's Status: Active

Michael Dempster is Professor Emeritus, Centre for Financial Research, University of Cambridge. He has held research and teaching appointments at leading universities globally and is founding Editor-in-Chief of Quantitative Finance. His numerous papers and books have won several awards and he is Honorary Fellow of the IFoA, Member of the Academia dei Lincei and Managing Director of Cambridge Systems Associates. Juho Kanniainen is Professor of Financial Engineering at Tampere University of Technology, Finland. He has served as Coordinator of two international EU-programmes, HPC in Finance (www.hpcfinance.eu) and Big Data in Finance (www.bigdatafinance.eu). His research is broadly in quantitative finance focusing on computationally expensive problems and data-driven approaches. John Keane is Professor of Data Engineering in the School of Computer Science at the University of Manchester, UK. As part of the UK Government’s Foresight Project, The Future of Computer Trading in Financial Markets, he co-authored a commissioned economic impact assessment review. He has been involved in both the EU HPC in Finance and Big Data in Finance programmes. His wider research interests are data and decision analytics, and related performance aspects. Erik Vynckier is board member of Foresters Friendly Society, partner of InsurTech Venture Partners and Chief Investment Officer of Eli Global, following a career in banking, insurance, asset management and petrochemical industry. He co-founded EU initiatives on high performance computing and big data in finance. Erik graduated as MBA at London Business School and as chemical engineer at Universiteit Gent.