What should be taken into consideration when forecasting oil implied volatility index?
Year of publication: |
2023
|
---|---|
Authors: | Delis, Panagiotis ; Degiannakis, Stavros ; Giannopoulos, Konstantinos |
Published in: |
The energy journal. - Boston, Mass. [u.a.] : Oelgeschlager, Gunn & Hain, ISSN 0195-6574, ZDB-ID 864319-2. - Vol. 44.2023, 5, p. 231-249
|
Subject: | Crude oil | Implied volatility | HAR modeling | Trading strategies | Dynamic model averaging | Long memory | Volatilität | Volatility | Prognoseverfahren | Forecasting model | Erdöl | Petroleum | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Ölpreis | Oil price | ARCH-Modell | ARCH model |
-
Forecasting crude oil volatility with exogenous predictors : as good as it GETS?
Bonnier, Jean-Baptiste, (2022)
-
Modeling and forecasting the volatility of petroleum futures prices
Kang, Sang Hoon, (2013)
-
Chen, Yan, (2024)
- More ...
-
What should be taken into consideration when forecasting oil implied volatility index?
Delis, Panagiotis, (2021)
-
Can spillover effects provide forecasting gains? The case of oil price volatility
Chatziantoniou, Ioannis, (2019)
-
What matters when developing oil price volatility forecasting frameworks?
Delis, Panagiotis, (2021)
- More ...