Jumps and oil futures volatility forecasting : a new insight
Year of publication: |
2021
|
---|---|
Authors: | Ma, Feng ; Liang, Chao ; Zeng, Qing ; Li, Haibo |
Published in: |
Quantitative finance. - London : Taylor & Francis, ISSN 1469-7696, ZDB-ID 2027557-2. - Vol. 21.2021, 5, p. 853-863
|
Subject: | Jumps | MS-MIDAS | Oil futures | Realized volatility | Volatilität | Volatility | Prognoseverfahren | Forecasting model | Rohstoffderivat | Commodity derivative | Erdöl | Petroleum | Ölpreis | Oil price | Welt | World | Prognose | Forecast | Ölmarkt | Oil market | ARCH-Modell | ARCH model |
-
Chang, Kuang-liang, (2012)
-
Forecasting the volatility of crude oil futures using intraday data
Sévi, Benoît, (2014)
-
Luo, Jiawen, (2020)
- More ...
-
The information content of uncertainty indices for natural gas futures volatility forecasting
Liang, Chao, (2021)
-
Can ChatGPT predict Chinese equity premiums?
Ma, Feng, (2024)
-
Policy uncertainty and carbon neutrality : evidence from China
Zeng, Qing, (2022)
- More ...