There are 1 repository under realized-volatility topic.
Traditionally, volatility is modeled using parametric models. This project focuses on predicting EUR/USD volatility using more flexible, machine-learning methods.
Estimation of realized quantities
R code and Realized Volatility (RV) series set for fitting NN-based-HAR models to multinational RV series.
Intraday volatility estimation using High-Frequency Financial Data
Replication of "Variance Risk Premia in the Interest Rate Swap market" paper (2016) by Desi Volker PhD
Code for the paper "Volatility is (mostly) path-dependent - Guyon, Lekeufack (2022)".
R package to estimate and forecast the HAR (Heterogeneous Autoregressive) model and its extensions.
Calculation of stock realized variance based on trade data on WRDS cloud