Uncertainty, Spillovers, and Forecasts of the Realized Variance of Gold Returns
Using data for the group of G7 countries and China for the sample period 1996Q1 to 2020Q4, we study the role of uncertainty and spillovers for the out-of-sample forecasting of the realized variance of gold returns and its upside (good) and downside (bad) counterparts. We go beyond earlier research i...
Main Authors: | Rangan Gupta, Christian Pierdzioch |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Mathematical and Computational Applications |
Subjects: | |
Online Access: | https://www.mdpi.com/2297-8747/26/3/49 |
Similar Items
-
Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers
by: Rangan Gupta, et al.
Published: (2021-07-01) -
A Note on Forecasting the Historical Realized Variance of Oil-Price Movements: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios
by: Rangan Gupta, et al.
Published: (2021-10-01) -
Modeling Realized Variance with Realized Quarticity
by: Hiroyuki Kawakatsu
Published: (2022-09-01) -
Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment
by: Rangan Gupta, et al.
Published: (2021-12-01) -
Infectious Diseases, Market Uncertainty and Oil Market Volatility
by: Elie Bouri, et al.
Published: (2020-08-01)