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Python for Finance: Analyze Big Financial Data
Python for Finance: Analyze Big Financial Data
paperback
Published:
5 January, 2015
paperback
Published:
5 January, 2015
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Description
The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies
More Details
| Type | Book |
|---|---|
| ISBN13 | 9781491945285 |
| ISBN10 | 1491945281 |
| Number Of Pages | 606 |
| Item Weight | 1029 g |
| Product Dimensions | 31 x 233 x 178 mm |
| Publisher / Reseller | O'Reilly Media |
| Format | paperback |
| Edition | 1 |
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Author's Bio
Yves Hilpisch has 10 years of experience with Python, particularly in the finance space. He founded Visixion - an independent, privately-owned analytics software provider and financial engineering boutique. He works as Managing Director Europe for Continuum Analytics, and lectures on Mathematical Finance at Saarland University in Germany.