derivatives analytics python data von hilpisch yves (6 Ergebnisse)

hardcover. Zustand: Sehr gut. 384 Seiten; 9781119037996.2 Gewicht in Gramm: 1.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New. In.

Buch. Zustand: Neu. Neuware - Supercharge options analytics and hedging using the power of PythonDerivatives 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 index options from a sound foundation. You'll find and use self-contained Python scripts and modules and learn how to apply Python to advanced data and derivatives analytics as you benefit from the 5,000+ lines of code that are provided to help you reproduce the results and graphics presented. Coverage includes market data analysis, risk-neutral valuation, Monte Carlo simulation, model calibration, valuation, and dynamic hedging, with models that exhibit stochastic volatility, jump components, stochastic short rates, and more. The companion website features all code and IPython Not Elektronisches Buch for immediate execution and automation.Python is gaining ground in the derivatives analytics space, allowing institutions to quickly and efficiently deliver portfolio, trading, and risk management results. This book is the finance professional's guide to exploiting Python's capabilities for efficient and performing derivatives analytics.\* Reproduce major stylized facts of equity and options markets yourself\* Apply Fourier transform techniques and advanced Monte Carlo pricing\* Calibrate advanced option pricing models to market data\* Integrate advanced models and numeric methods to dynamically hedge optionsRecent developments in the Python ecosystem enable analysts to implement analytics tasks as performing as with C or C++, but using only about one-tenth of the code or even less. Derivatives Analytics with Python -- Data Analysis, Models, Simulation, Calibration and Hedging shows you what you need to know to supercharge your derivatives and risk analytics efforts.

Zustand: New. 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. Series: The Wiley Finance Series. Num Pages: 376 pages. BIC Classification: KFFM. Category: (P) Professional & Vocational. Dimension: 253 x 179 x 29. Weight in Grams: 804. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 1st edition. 376 pages. 9.00x6.00x1.00 inches. In Stock.