Python for Finance: Analyze Big Financial Data

(Elle) #1

G


general market model, The General Results, Derivatives Portfolios


General Purpose Graphical Processing Units (GPGPUs), Generation of Random Numbers


on GPUs


generate_payoff method, The Valuation Class


geometric Brownian motion, Simulation of Financial Models, Geometric Brownian


Motion


get_info method, The Class


global optimization, Global Optimization, Calibration Procedure


graphical analysis, Graphical Analysis


(see also matplotlib library)


graphical user interfaces (GUIs)


cash flow series with, Cash Flow Series Class with GUI


libraries required, Graphical User Interfaces


Microsoft Excel as, Excel Integration


short rate class with, Short Rate Class with GUI


updating values, Updating of Values


Greeks, estimation of, Generic Valuation Class


groupby operations, GroupBy Operations


Gruenbichler and Longstaff model, The Financial Model


Guassian quadrature, Numerical Integration


H


HDF5 database format, Working with Arrays


Heston stochastic volatility model, Stochastic volatility


high frequency data, High-Frequency Data


histograms, Other Plot Styles


HTML-based web pages, httplib


httplib library, httplib


hypertext transfer protocol, httplib


I


immutability, Lists


implied volatilities


Black-Scholes-Merton formula, Implied Volatilities

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