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Applications of Python in Economics and Finance

Herein is contained Jupyter Notebooks containing worked examples of how Python can be of use in Economics and Finance.

Object Orientation in Bertrand Competition

An example with price competition in a market for homoegenous services - namely for airline tickets. Shows the benefit of using class instances instead of script-style coding.

Forecasting with pandas and statsmodels

Use of pandas and pandas-datareader to download historical stock data and several economic indicators. Employ statsmodels to forecast the stock price.

Monte Carlo Option Pricing with numpy

Simple Monte-Carlo method for pricing a European Call option. Purpose is to show great speed-up with numpy vs pure python.

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