Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)
Yves Hilpisch
[PDF.gz44] Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series) Rating: 4.96 (658 Votes)
Derivatives Analytics with Python: Yves Hilpisch epub Derivatives Analytics with Python: Yves Hilpisch pdf download Derivatives Analytics with Python: Yves Hilpisch pdf file Derivatives Analytics with Python: Yves Hilpisch audiobook Derivatives Analytics with Python: Yves Hilpisch book review Derivatives Analytics with Python: Yves Hilpisch summary | #345502 in Books | 2015-08-03 | Original language:English | PDF # 1 | 9.85 x1.00 x7.00l,.0 | File type: PDF | 374 pages||From the Inside Flap||Market-based valuation of stock index options is an essential task for every buy-side and sell-side decision maker in the derivatives analytics domain. In Derivatives Analytics with Python, you'll discover why Python has established
Supercharge options analytics and hedging using the power of Python
Derivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language. This unique guide offers detailed explanations of all theory, methods, and processes, giving you the background and tools necessary to value stock...
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