Forecasting gold futures market volatility using macroeconomic variables in the United States
Year of publication: |
2018
|
---|---|
Authors: | Fang, Libing ; Yu, Honghai ; Xiao, Wen |
Published in: |
Economic modelling. - Amsterdam [u.a.] : Elsevier, ISSN 0264-9993, ZDB-ID 86824-3. - Vol. 72.2018, p. 249-259
|
Subject: | Forecast | GARCH-MIDAS model | Gold futures volatility | Macroeconomic variables | Principal component analysis | Volatilität | Volatility | USA | United States | Gold | Prognoseverfahren | Forecasting model | Derivat | Derivative | Warenbörse | Commodity exchange | Zeitreihenanalyse | Time series analysis | Prognose |
-
Jumps and gold futures volatility prediction
Li, Xiaoqian, (2023)
-
Nargunam, Rupel, (2021)
-
Machine learning to predict grains futures prices
Brignoli, Paolo Libenzio, (2024)
- More ...
-
Investing in mutual funds using the Bayesian framework : evidence from China
Yu, Honghai, (2021)
-
Estimating the connectedness of commodity futures using a network approach
Xiao, Binqing, (2019)
-
Yu, Honghai, (2019)
- More ...