A hybrid econometrics and machine learning based modeling of realized volatility of natural gas
Date Issued
2024-01
Author(s) USM
Kristjanpoller, Werner
DOI
10.1186/s40854-023-00577-0
Abstract
Determining which variables affect price realized volatility has always been challenging. This paper proposes to explain how financial assets influence realized volatility by developing an optimal day-to-day forecast. The methodological proposal is based
