Computational Finance

Novel Methods in Computational Finance  eBooks & eLearning

Posted by AvaxGenius at Sept. 19, 2017
Novel Methods in Computational Finance

Novel Methods in Computational Finance By Prof. Dr. Matthias Ehrhardt, Prof. Dr. Michael Günther, Dr. E. Jan W. ter Maten
English | PDF,EPUB | 2017 | 599 Pages | ISBN : 3319612816 | 28.93 MB

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.

Tools for Computational Finance, Sixth Edition  eBooks & eLearning

Posted by AvaxGenius at Aug. 18, 2017
Tools for Computational Finance, Sixth Edition

Tools for Computational Finance, Sixth Edition By Prof. Dr. Rüdiger U. Seydel
English | PDF | 2017 | 498 Pages | ISBN : 1447173376 | 11.42 MB

Computational and numerical methods are used in a number of ways across the field of finance. It is the aim of this book to explain how such methods work in financial engineering. By concentrating on the field of option pricing, a core task of financial engineering and risk analysis, this book explores a wide range of computational tools in a coherent and focused manner and will be of use to anyone working in computational finance.
Coursera - Introduction to Computational Finance and Financial Econometrics [repost]

Coursera - Introduction to Computational Finance and Financial Econometrics
WEBRip | English | MP4 + Project files | 960 x 540 | AVC ~154 kbps | 30.919 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 25:23:27 | 3.9 GB
Genre: eLearning Video / Finance, Analysis, Mathematics, Statistics

Learn mathematical, programming and statistical tools used in the real world analysis and modeling of financial data. Apply these tools to model asset returns, measure risk, and construct optimized portfolios using the open source R programming language and Microsoft Excel. Learn how to build probability models for asset returns, to apply statistical techniques to evaluate if asset returns are normally distributed, to use Monte Carlo simulation and bootstrapping techniques to evaluate statistical models, and to use optimization methods to construct efficient portfolios.

Coursera - Introduction to Computational Finance and Financial Econometrics  eBooks & eLearning

Posted by house23 at Jan. 18, 2016
Coursera - Introduction to Computational Finance and Financial Econometrics

Coursera - Introduction to Computational Finance and Financial Econometrics
MP4 | AVC 243kbps | English | 960x540 | 30ps | 10 weeks | AAC stereo 128kbps | 3.91 GB
Genre: Video Training

Learn mathematical, programming and statistical tools used in the real world analysis and modeling of financial data. Apply these tools to model asset returns, measure risk, and construct optimized portfolios using the open source R programming language and Microsoft Excel. Learn how to build probability models for asset returns, to apply statistical techniques to evaluate if asset returns are normally distributed, to use Monte Carlo simulation and bootstrapping techniques to evaluate statistical models, and to use optimization methods to construct efficient portfolios.

Natural Computing in Computational Finance: Volume 4 (repost)  eBooks & eLearning

Posted by interes at Aug. 17, 2015
Natural Computing in Computational Finance: Volume 4 (repost)

Natural Computing in Computational Finance: Volume 4 (Studies in Computational Intelligence) by Anthony Brabazon
English | ISBN: 364223335X | 2011 | PDF | 212 pages | 3,3 MB
Natural Computing in Computational Finance: Volume 4 (Studies in Computational Intelligence)

Anthony Brabazon, "Natural Computing in Computational Finance: Volume 4 (Studies in Computational Intelligence) "
Publisher: S–-er | ISBN: 364223335X | 2011 | PDF | 212 pages | 3.3 MB

Computational Finance Using C and C# (Quantitative Finance) (repost)  eBooks & eLearning

Posted by tot167 at Jan. 24, 2011
Computational Finance Using C and C# (Quantitative Finance)  (repost)

George Levy, "Computational Finance Using C and C# (Quantitative Finance)"
Ac.demic Press | 2008 | ISBN: 0750669195 | 384 pages | PDF | 1,5 MB
Quantitative Methods in Derivatives Pricing: An Introduction to Computational Finance

Domingo Tavella, "Quantitative Methods in Derivatives Pricing: An Introduction to Computational Finance"
Wiley | 2002 | ISBN: 0471394475 | 256 pages | PDF | 1,5 MB
Numerical Partial Differential Equations in Finance Explained: An Introduction to Computational Finance

Numerical Partial Differential Equations in Finance Explained: An Introduction to Computational Finance By Karel in 't Hout
English | PDF | 2017 | 134 Pages | ISBN : 1137435682 | 16.77 MB

This book provides a first, basic introduction into the valuation of financial options via the numerical solution of partial differential equations (PDEs). It provides readers with an easily accessible text explaining main concepts, models, methods and results that arise in this approach. In keeping with the series style, emphasis is placed on intuition as opposed to full rigor, and a relatively basic understanding of mathematics is sufficient.
Recent Developments in Computational Finance:Foundations, Algorithms and Applications (repost)

Thomas Gerstner, Peter Kloeden, "Recent Developments in Computational Finance: Foundations, Algorithms and Applications"
English | ISBN: 9814436429 | 2013 | 480 pages | PDF | 3 MB