Monte Carlo Methods for Option Pricing and Greeks

Posted on Sat 01 May 2021 in Options • Tagged with pricing, pytorch, monte-carlo

Using PyTorch to easily compute Option Greeks first using Black-Scholes and then Monte Carlo methods.


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Mixture Density Network for Forecasting Realized Volatility

Posted on Wed 07 April 2021 in Volatility • Tagged with volatility, forecasting, mixture-density-network, machine-learning, pytorch, model-building

Using a mixture density neural network implemented in PyTorch to forecast the distribution of future realized volatility.


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Bayesian Autoregressive Volatility Forecasting

Posted on Wed 17 March 2021 in Volatility • Tagged with volatility, forecasting, bayesian, model-building

Using a simple bayesian autoregressive model to forecast future volatility


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Comparison of Volatility Estimators

Posted on Sun 07 March 2021 in Volatility • Tagged with volatility, realized-volatility

Comparing Garman-Klass estimator to 5-minute Realized Volatility estimator.


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A Most Diversified ETF Portfolio

Posted on Thu 07 January 2021 in Portfolio Optimization • Tagged with portfolio-optimization, ETFs, diversification-ratio, performance-measurement, drawdown

Constructing a portfolio from a selection of ETFs to maximize the diversification ratio


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