Modeling Oil shocks-Green Investments Nexus - A Global Evidence Based on Wavelet Coherence Technique
Author
Abstract
Suggested Citation
DOI: 2023/06/13
Download full text from publisher
References listed on IDEAS
- Salisu, Afees A. & Gupta, Rangan, 2021.
"Oil shocks and stock market volatility of the BRICS: A GARCH-MIDAS approach,"
Global Finance Journal, Elsevier, vol. 48(C).
- Afees A. Salisu & Rangan Gupta, 2019. "Oil Shocks and Stock Market Volatility of the BRICS: A GARCH-MIDAS Approach," Working Papers 201976, University of Pretoria, Department of Economics.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Rao, Amar & Sharma, Gagan Deep & Tiwari, Aviral Kumar & Hossain, Mohammad Razib & Dev, Dhairya, 2025. "Crude oil Price forecasting: Leveraging machine learning for global economic stability," Technological Forecasting and Social Change, Elsevier, vol. 216(C).
- Naeem, Muhammad Abubakr & Pham, Linh & Senthilkumar, Arunachalam & Karim, Sitara, 2022. "Oil shocks and BRIC markets: Evidence from extreme quantile approach," Energy Economics, Elsevier, vol. 108(C).
- Afees A. Salisu & Rangan Gupta & Oguzhan Cepni & Petre Caraiani, 2024.
"Oil shocks and state-level stock market volatility of the United States: a GARCH-MIDAS approach,"
Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1473-1510, November.
- Afees A. Salisu & Rangan Gupta & Oguzhan Cepni & Petre Caraiani, 2023. "Oil Shocks and State-Level Stock Market Volatility of the United States: A GARCH-MIDAS Approach," Working Papers 202327, University of Pretoria, Department of Economics.
- Liu, Han & Yang, Peng & He, Yongda & Oxley, Les & Guo, Pengwei, 2024. "Exploring the influence of the geopolitical risks on the natural resource price volatility and correlation: Evidence from DCC-MIDAS-X model," Energy Economics, Elsevier, vol. 129(C).
- Salisu, Afees A. & Ogbonna, Ahamuefula E. & Gupta, Rangan & Bouri, Elie, 2024.
"Energy-related uncertainty and international stock market volatility,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 280-293.
- Afees A. Salisu & Ahamuefula E. Ogbonna & Rangan Gupta & Elie Bouri, 2023. "Energy-Related Uncertainty and International Stock Market Volatility," Working Papers 202336, University of Pretoria, Department of Economics.
- Wu, Xinyu & Zhao, An & Cheng, Tengfei, 2023. "A Real-Time GARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 56(C).
- Kuang, Wei, 2023. "The equity-oil hedge: A comparison between volatility and alternative risk frameworks," Energy, Elsevier, vol. 271(C).
- Wang, Ningli & You, Wanhai, 2023. "New insights into the role of global factors in BRICS stock markets: A quantile cointegration approach," Economic Systems, Elsevier, vol. 47(2).
- Xie, Qichang & Tang, Guoqiang, 2022. "Do market conditions interfere with the transmission of uncertainty from oil market to stock market? Evidence from a modified quantile-on-quantile approach," Energy Economics, Elsevier, vol. 114(C).
- Zhang, Jiaming & Xiang, Yitian & Zou, Yang & Guo, Songlin, 2024. "Volatility forecasting of Chinese energy market: Which uncertainty have better performance?," International Review of Financial Analysis, Elsevier, vol. 91(C).
- Yaya, OlaOluwa S. & Ogbonna, Ahamuefula E. & Adesina, Oluwaseun A. & Alobaloke, Kafayat A. & Vo, Xuan Vinh, 2022.
"Time-variation between metal commodities and oil, and the impact of oil shocks: GARCH-MIDAS and DCC-MIDAS analyses,"
Resources Policy, Elsevier, vol. 79(C).
- Yaya, OlaOluwa S. & Ogbonna, Ahamuefula E. & Adesina, Ayobami O. & Alobaloke, Kafayat & Vo, Xuan Vinh, 2022. "Time-variation between metal commodities and oil, and the impact of oil shocks: GARCH-MIDAS and DCC-MIDAS analyses," MPRA Paper 114689, University Library of Munich, Germany.
- Salisu, Afees A. & Demirer, Riza & Gupta, Rangan, 2022.
"Financial turbulence, systemic risk and the predictability of stock market volatility,"
Global Finance Journal, Elsevier, vol. 52(C).
- Afees A. Salisu & Riza Demirer & Rangan Gupta, 2021. "Financial Turbulence, Systemic Risk and the Predictability of Stock Market Volatility," Working Papers 202162, University of Pretoria, Department of Economics.
- Jiang, Kunliang & Ye, Wuyi, 2022. "Does the asymmetric dependence volatility affect risk spillovers between the crude oil market and BRICS stock markets?," Economic Modelling, Elsevier, vol. 117(C).
- Yang, Junqi & Geng, Jiang-Bo & Liang, Ziwei, 2024. "Time-varying effects of structural oil price shocks on financial market uncertainty," Energy Economics, Elsevier, vol. 139(C).
- Ayinde, Taofeek O. & Olaniran, Abeeb O. & Abolade, Onomeabure C. & Ogbonna, Ahamuefula Ephraim, 2023. "Technology shocks - Gold market connection: Is the effect episodic to business cycle behaviour?," Resources Policy, Elsevier, vol. 84(C).
- Hanif, Waqas & Hadhri, Sinda & El Khoury, Rim, 2024. "Quantile spillovers and connectedness between oil shocks and stock markets of the largest oil producers and consumers," Journal of Commodity Markets, Elsevier, vol. 34(C).
- Afees A. Salisu & Rangan Gupta, 2021. "Commodity Prices and Forecastability of South African Stock Returns Over a Century: Sentiments versus Fundamentals," Working Papers 202144, University of Pretoria, Department of Economics.
- Mensi, Walid & Rehman, Mobeen Ur & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2023. "Frequency dependence between oil futures and international stock markets and the role of gold, bonds, and uncertainty indices: Evidence from partial and multivariate wavelet approaches," Resources Policy, Elsevier, vol. 80(C).
- Damien Kunjal & Faeezah Peerbhai & Paul-Francois Muzindutsi, 2022. "Political, economic, and financial country risks and the volatility of the South African Exchange Traded Fund market: A GARCH-MIDAS approach," Risk Management, Palgrave Macmillan, vol. 24(3), pages 236-258, September.
- Pierdomenico Duttilo & Stefano Antonio Gattone & Tonio Di Battista, 2021. "Volatility Modeling: An Overview of Equity Markets in the Euro Area during COVID-19 Pandemic," Mathematics, MDPI, vol. 9(11), pages 1-18, May.
More about this item
Keywords
; ; ;JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ayb:jrnerl:79. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Asia-Pacific Applied Economics Association (email available below). General contact details of provider: https://edirc.repec.org/data/apaeaea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/ayb/jrnerl/79.html