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Methods for Quantitative analysis of asset prices using Python. Topics include properties of equity returns, mean-variance portfolio optimization, lifecycle investing, risk factors, return predictability, models of time-vary volatility, various "anomalies" leading to trading strategies that generate alpha, Monte Carlo simulation, option pricing, and machine learning applications for asset price prediction.
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