Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks

被引:118
作者
Asai, Manabu [1 ]
Gupta, Rangan [2 ]
McAleer, Michael [3 ,4 ,5 ,6 ,7 ,8 ]
机构
[1] Soka Univ, Fac Econ, Hachioji, Tokyo, Japan
[2] Univ Pretoria, Dept Econ, Pretoria, South Africa
[3] Asia Univ, Dept Finance, Taichung, Taiwan
[4] Univ Sydney, Business Sch, Discipline Business Analyt, Sydney, NSW, Australia
[5] Erasmus Univ, Erasmus Sch Econ, Econometr Inst, Rotterdam, Netherlands
[6] Univ Complutense Madrid, Dept Econ Anal, Madrid, Spain
[7] Univ Complutense Madrid, ICAE, Madrid, Spain
[8] Yokohama Natl Univ, Inst Adv Sci, Yokohama, Kanagawa, Japan
基金
日本学术振兴会;
关键词
Commodity markets; Co-volatility; Forecasting; Geopolitical risks; Jumps; Leverage effects; Spillover effects; Realized covariance; SAFE HAVEN; REALIZED VOLATILITY; MODEL; RETURNS; COMMODITY; MARKETS; HEDGE; FINANCIALIZATION; UNCERTAINTY; INVESTMENT;
D O I
10.1016/j.ijforecast.2019.10.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
To forecast the covariance matrix for the returns of crude oil and gold futures, this paper examines the effects of leverage, jumps, spillovers, and geopolitical risks by using their respective realized covariance matrices. To guarantee the positive definiteness of the forecasts, we consider the full BEKK structure on the conditional Wishart model. By the specification, we can flexibly divide the direct and spillover effects of volatility feedback, negative returns, and jumps. The empirical analysis indicates the benefits of accommodating the spillover effects of negative returns, and the geopolitical risks indicator for modeling and forecasting the covariance matrix. (C) 2020 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:933 / 948
页数:16
相关论文
共 68 条
[1]   Does gold offer a better protection against losses in sovereign debt bonds than other metals? [J].
Agyei-Ampomah, Sam ;
Gounopoulos, Dimitrios ;
Mazouz, Khelifa .
JOURNAL OF BANKING & FINANCE, 2014, 40 :507-521
[2]   Analyzing the Spectrum of Asset Returns: Jump and Volatility Components in High Frequency Data [J].
Ait-Sahalia, Yacine ;
Jacod, Jean .
JOURNAL OF ECONOMIC LITERATURE, 2012, 50 (04) :1007-1050
[3]   Commodity prices, interest rates and the dollar [J].
Akram, Q. Farooq .
ENERGY ECONOMICS, 2009, 31 (06) :838-851
[4]   Roughing it up: Including jump components in the measurement, modeling, and forecasting of return volatility [J].
Andersen, Torben G. ;
Bollerslev, Tim ;
Diebold, Francis X. .
REVIEW OF ECONOMICS AND STATISTICS, 2007, 89 (04) :701-720
[5]  
[Anonymous], 201943 U PRET DEP EC
[6]  
[Anonymous], 2018, GOLD GEOPOLITICAL RI
[7]  
[Anonymous], 201925 U PRET DEP EC
[8]  
[Anonymous], 2018, 1222 BOARD GOV FED R
[9]  
[Anonymous], 2001, ACAD EC PAPERS
[10]  
[Anonymous], 201903 U PRET DEP EC