Volatility integration of crude oil, gold, and interest rates on the exchange rate: DCC GARCH and BEKK GARCH applications

被引:1
|
作者
Rastogi, Shailesh [1 ]
Kanoujiya, Jagjeevan [2 ]
Doifode, Adesh [3 ]
机构
[1] Symbiosis Int Deemed Univ, Symbiosis Inst Business Management, Pune, India
[2] Symbiosis Int Deemed Univ, Pune, India
[3] Symbiosis Int Deemed Univ, Symbiosis Sch Banking & Finance, Pune, India
来源
COGENT BUSINESS & MANAGEMENT | 2024年 / 11卷 / 01期
关键词
bivariate GARCH; volatility; gold; crude oil; interest rates; exchange rate; WORLD MARKET INTEGRATION; STOCK INDEXES; US DOLLAR; PRICE; RETURNS; BONDS; EVIDENCES; LINKAGES; IMPACT; FLOWS;
D O I
10.1080/23311975.2023.2289700
中图分类号
F [经济];
学科分类号
02 ;
摘要
Literature is replete with evidence of market integration between crude oil, gold and interest rates (IR) with the exchange rate (ER) due to varied reasons. However, it is observed that the explored market integration is limited for the price and return volatilities. Bivariate GARCH models (BEKK-GARCH and DCC-GARCH) are used in this research to ascertain the conditional volatility association of gold, crude oil and yield (or IR) on the ER (the price of US$ in Indian rupee). The daily basis data from January, 2000 to December, 2022. Except for a few cases, it is found that the conditional covariance association of gold, crude oil and the yield on the ER are significant for both shocks and persistence. It confirms the economic theories of market connectivity. The results are as expected (from the previous literature) for conditional volatility, whereas findings regarding volatility spillover effects (VSE) and are surprising. The findings of the study imply the separation of price or returns integration from volatility integration. Co-movement of the prices has a limited impact; however, volatility integration has a larger and long-term impact. Therefore, the study endorses the views that gold, crude oil and IR markets can be treated separately from the ER markets with respect to the risk management of the ER. Studies involving volatility integration from these markets on the ER are not easily available. Therefore, there is a lack of knowledge about the nature of association with respect to the volatility among these markets, especially with respect to the ER market. The findings give key implication that government should consider these macroeconomic variables (gold-oil-interest) resilient against ER volatilities.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Forecasting volatility of crude oil futures using a GARCH-RNN hybrid approach
    Verma, Sauraj
    INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT, 2021, 28 (02): : 130 - 142
  • [32] Forecasting interest rates volatilities by GARCH (1,1) and stochastic volatility models
    Hans Boscher
    Eva-Maria Fronk
    Iris Pigeot
    Statistical Papers, 2000, 41 : 409 - 422
  • [33] A Study on Information Transfer of International Crude Oil Futures Price Base on VAR-GARCH-BEKK Model
    Xiao Longjie
    PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2015, : 640 - 646
  • [34] Application of the Multivariate GARCH Model to Forecast Exchange Rate Volatility in South Africa
    Mokoma, Thato Julius
    Moroke, Ntebogang Dinah
    INNOVATION VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOL I-VI, 2015, : 3853 - 3867
  • [35] Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach
    Xie, Qiwei
    Liu, Ranran
    Qian, Tao
    Li, Jingyu
    ENERGY ECONOMICS, 2021, 102
  • [36] Forecasting exchange rate volatility with monetary fundamentals: A GARCH-MIDAS approach
    Eniayewu, Patience Eyo
    Samuel, Gideon Tukura
    Joshua, Jeremiah Dandaura
    Samuel, Bazitei Tuapreghe
    Dogo, Bishara Saidu
    Yusuf, Umar
    Ihekuna, Rosemond Onyinye
    Mevweroso, Chioma Reacheal
    SCIENTIFIC AFRICAN, 2024, 23
  • [37] Energy market uncertainties and exchange rate volatility: A GARCH-MIDAS approach
    Salisu, Afees A.
    Ogbonna, Ahamuefula E.
    Gupta, Rangan
    Ji, Qiang
    FINANCE RESEARCH LETTERS, 2024, 67
  • [38] Mixture Periodic GARCH models: Applications to Exchange Rate Modeling
    Hamdi, Faycal
    Souam, Said
    2013 5TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO), 2013,
  • [39] GARCH, jumps and permanent and transitory components of volatility: the case of the Taiwan exchange rate
    Chen, SW
    Shen, CH
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2004, 67 (03) : 201 - 216
  • [40] GARCH Model Application on How Interest Rate Variation Impact Financial Index Volatility
    Tang Qing
    Fu Qiang
    Li Xiaoxia
    RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, VOLS I AND II, 2009, : 2385 - 2389