Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory
This paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four widely traded commodities (crude oil, natural gas, gold, and silver). A broad set of the most popular linear and
Year of publication: |
2014-06-23
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Authors: | Chkili, Walid ; Hammoudeh, Shawkat ; Nguyen, Duc Khuong |
Institutions: | Institut de Préparation à l'Administration et à la Gestion (IPAG) |
Subject: | commodity markets | GARCH models | asymmetries | long memory | volatility forecasts |
Saved in:
freely available