The dependency structure of international commodity and stock markets after the Russia-Ukraine war
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0316288
Download full text from publisher
References listed on IDEAS
- Lubos Pástor & Pietro Veronesi, 2012.
"Uncertainty about Government Policy and Stock Prices,"
Journal of Finance, American Finance Association, vol. 67(4), pages 1219-1264, August.
- Lubos Pastor & Pietro Veronesi, 2010. "Uncertainty about Government Policy and Stock Prices," NBER Working Papers 16128, National Bureau of Economic Research, Inc.
- Veronesi, Pietro & Pástor, Luboš, 2010. "Uncertainty about Government Policy and Stock Prices," CEPR Discussion Papers 7897, C.E.P.R. Discussion Papers.
- Pietro Veronesi & Lubos Pastor, 2011. "Uncertainty about Government Policy and Stock Prices," 2011 Meeting Papers 86, Society for Economic Dynamics.
- Mohammadi, Hassan & Su, Lixian, 2010. "International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models," Energy Economics, Elsevier, vol. 32(5), pages 1001-1008, September.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
- Jain, Anshul & Biswal, P.C., 2016. "Dynamic linkages among oil price, gold price, exchange rate, and stock market in India," Resources Policy, Elsevier, vol. 49(C), pages 179-185.
- Akbar, Muhammad & Iqbal, Farhan & Noor, Farzana, 2019. "Bayesian analysis of dynamic linkages among gold price, stock prices, exchange rate and interest rate in Pakistan," Resources Policy, Elsevier, vol. 62(C), pages 154-164.
- Amelie Brune & Thorsten Hens & Marc Rieger & Mei Wang, 2015. "The war puzzle: contradictory effects of international conflicts on stock markets," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(1), pages 1-21, March.
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.- Chen, Rongda & Xu, Jianjun, 2019. "Forecasting volatility and correlation between oil and gold prices using a novel multivariate GAS model," Energy Economics, Elsevier, vol. 78(C), pages 379-391.
- Freddy Ronalde Camacho-Villagomez & Yanina Shegia Bajaña-Villagomez & Andrea Johanna RodrÃguez-Bustos, 2024. "Estimating the Impact of Oil Price Volatility on the Ecuadorian Economy: A MIDAS Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 371-376, July.
- Alizadeh, Amir H. & Tamvakis, Michael, 2016. "Market conditions, trader types and price–volume relation in energy futures markets," Energy Economics, Elsevier, vol. 56(C), pages 134-149.
- Apergis, Nicholas & Payne, James E., 2017. "Volatility Modeling of U.S. Metropolitan Retail Gasoline Prices: An Empirical Note," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 48(2), September.
- Chkili, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2014.
"Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory,"
Energy Economics, Elsevier, vol. 41(C), pages 1-18.
- Walid Chkili & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Working Papers 2014-325, Department of Research, Ipag Business School.
- Walid Chkili & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Working Papers 2014-389, Department of Research, Ipag Business School.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco C. Sammon, 2021.
"What Triggers Stock Market Jumps?,"
NBER Working Papers
28687, National Bureau of Economic Research, Inc.
- Baker, Scott R. & Bloom, Nicholas & Davis, Steven J. & Sammo, Marco C., 2021. "What triggers stock market jumps?," LSE Research Online Documents on Economics 113913, London School of Economics and Political Science, LSE Library.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco Sammon, 2021. "What triggers stock market jumps?," CEP Discussion Papers dp1789, Centre for Economic Performance, LSE.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco Sammon, 2021. "What triggers stock market jumps?," POID Working Papers 010, Centre for Economic Performance, LSE.
- Cheng, Sheng & Deng, MingJie & Liang, Ruibin & Cao, Yan, 2023. "Asymmetric volatility spillover among global oil, gold, and Chinese sectors in the presence of major emergencies," Resources Policy, Elsevier, vol. 82(C).
- Liu, Zhicao & Ye, Yong & Ma, Feng & Liu, Jing, 2017. "Can economic policy uncertainty help to forecast the volatility: A multifractal perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 181-188.
- Libing Fang & Baizhu Chen & Honghai Yu & Yichuo Qian, 2018. "The importance of global economic policy uncertainty in predicting gold futures market volatility: A GARCH‐MIDAS approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 413-422, March.
- Aliyu, Shehu Usman Rano, 2020. "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper 110382, University Library of Munich, Germany, revised 06 Jun 2021.
- Mokni, Khaled & Mansouri, Faysal, 2017. "Conditional dependence between international stock markets: A long memory GARCH-copula model approach," Journal of Multinational Financial Management, Elsevier, vol. 42, pages 116-131.
- Tarek Bouazizi & Zouhaier Hadhek & Fatma Mrad & Mosbah Lafi, 2021. "Changes in Demand for Crude Oil and its Correlation with Crude Oil and Stock Market Returns Volatilities: Evidence from Three Asian Oil Importing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 27-43.
- Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2021. "How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques," Resources Policy, Elsevier, vol. 70(C).
- Wang, Yudong & Liu, Li & Ma, Feng & Wu, Chongfeng, 2016. "What the investors need to know about forecasting oil futures return volatility," Energy Economics, Elsevier, vol. 57(C), pages 128-139.
- V. Candila & O. Cepni & G. M. Gallo & R. Gupta, 2024.
"Influence of Local and Global Economic Policy Uncertainty on the volatility of US state-level equity returns: Evidence from a GARCH-MIDAS approach with Shrinkage and Cluster Analysis,"
Working Paper CRENoS
202414, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Vincenzo Candila & Oguzhan Cepni & Giampiero M. Gallo & Rangan Gupta, 2024. "Influence of Local and Global Economic Policy Uncertainty on the Volatility of US State-Level Equity Returns: Evidence from a GARCH-MIDAS Approach with Shrinkage and Cluster Analysis," Working Papers 202437, University of Pretoria, Department of Economics.
- Halkos, George & Tzirivis, Apostolos, 2018. "Effective energy commodities’ risk management: Econometric modeling of price volatility," MPRA Paper 90781, University Library of Munich, Germany.
- Wei, Yu, 2012. "Forecasting volatility of fuel oil futures in China: GARCH-type, SV or realized volatility models?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5546-5556.
- Martina Assereto & Julie Byrne, 2020. "The Implications of Policy Uncertainty on Solar Photovoltaic Investment," Energies, MDPI, vol. 13(23), pages 1-20, November.
- Sumudu W. Watugala, 2015. "Economic Uncertainty and Commodity Futures Volatility," Working Papers 15-14, Office of Financial Research, US Department of the Treasury.
- Wei, Yu & Wang, Yudong & Huang, Dengshi, 2010. "Forecasting crude oil market volatility: Further evidence using GARCH-class models," Energy Economics, Elsevier, vol. 32(6), pages 1477-1484, November.
Corrections
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:plo:pone00:0316288. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.