Forecasting the volatility of crude oil futures using high-frequency data : further evidence
Year of publication: |
September 2018
|
---|---|
Authors: | Ma, Feng ; Wei, Yu ; Chen, Wang ; He, Feng |
Published in: |
Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria. - Berlin : Springer, ISSN 0377-7332, ZDB-ID 519394-1. - Vol. 55.2018, 2, p. 653-678
|
Subject: | Volatility forecasting | High-frequency volatility models | Signed jump variation | Forecasting evaluation | Volatilität | Volatility | Prognoseverfahren | Forecasting model | ARCH-Modell | ARCH model | Zeitreihenanalyse | Time series analysis | Prognose | Forecast | Schätzung | Estimation |
-
Are low-frequency data really uninformative? : a forecasting combination perspective
Ma, Feng, (2018)
-
Degiannakis, Stavros, (2013)
-
Ciarreta, Aitor, (2017)
- More ...
-
Which uncertainty is powerful to forecast crude oil market volatility? New evidence
Li, Xiafei, (2020)
-
Forecasting oil price volatility using high-frequency data : new evidence
Chen, Wang, (2020)
-
Which uncertainty is powerful to forecast crude oil market volatility? : new evidence
Li, Xiafei, (2022)
- More ...