
High-Performance Computing in Finance by M Dempster
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.
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Foundations of Quantitative Finance: Book III. The Integrals of Riemann, Lebesgue and (Riemann-)Stieltjes
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Introduction to Credit Risk Modeling
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Financial Mathematics
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Handbook of Price Impact Modeling
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Financial Modelling with Jump Processes
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Martingale Pricing
- Introduction to Financial Derivatives with Python
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Risk Analysis in Finance and Insurance
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Poisson Process and its Fractional Extensions with Applications
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Python for Asset Management
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Sustainable Financial Structured Products
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Handbook of Quantitative Sustainable Finance
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Foundations of Quantitative Finance Book II: Probability Spaces and Random Variables
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XVA Analysis
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Model-free Hedging
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Portfolio Optimization
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An Introduction to Computational Risk Management of Equity-Linked Insurance
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Monte Carlo Methods and Models in Finance and Insurance
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An Introduction to Financial Mathematics
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Principles of Portfolio Choice
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Introduction to Risk Parity and Budgeting
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Structured Credit Portfolio Analysis, Baskets and CDOs
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Stochastic Financial Models
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Arbitrage and Rational Decisions
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Stochastic Finance
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Understanding Risk
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Derivative Pricing
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A Technical Guide to Mathematical Finance
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Malliavin Calculus in Finance
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Risk Measures and Insurance Solvency Benchmarks
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Financial Modelling in Commodity Markets
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Engineering BGM
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Foundations of Quantitative Finance, Book VII: Brownian Motion and Other Stochastic Processes
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Equity-Linked Life Insurance
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Unravelling the Credit Crunch
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Counterparty Risk and Funding
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.
| SKU | Unavailable |
| ISBN 13 | 9781482299663 |
| ISBN 10 | 1482299666 |
| Title | High-Performance Computing in Finance |
| Author | M A H Dempster |
| Series | Chapman And Hall Crc Financial Mathematics Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Apple Academic Press Inc. |
| Year published | 2018-03-12 |
| Number of pages | 636 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































