Monte Carlo Methods for Option Pricing and Greeks

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

May 1, 2021 · Erik Dains

Mixture Density Network for Forecasting Realized Volatility

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

April 7, 2021 · Erik Dains

Bayesian Autoregressive Volatility Forecasting

Using a simple bayesian autoregressive model to forecast future volatility

March 17, 2021 · Erik Dains

Comparison of Volatility Estimators

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

March 7, 2021 · Erik Dains

A Most Diversified ETF Portfolio

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

January 7, 2021 · Erik Dains