The impact of macro economy on the oil price volatility from the perspective of mixing frequency
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DOI: 10.1002/ijfe.2383
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- Chen, Xian & Li, Yang & Xiao, Jihong & Wen, Fenghua, 2020. "Oil shocks, competition, and corporate investment: Evidence from China," Energy Economics, Elsevier, vol. 89(C).
- Gong, Xu & Lin, Boqiang, 2018. "The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market," Energy Economics, Elsevier, vol. 74(C), pages 370-386.
- Wang, Yudong & Liu, Li & Wu, Chongfeng, 2017. "Forecasting the real prices of crude oil using forecast combinations over time-varying parameter models," Energy Economics, Elsevier, vol. 66(C), pages 337-348.
- Hilde C. Bjørnland & Vegard H. Larsen & Junior Maih, 2018.
"Oil and Macroeconomic (In)stability,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 10(4), pages 128-151, October.
- Hilde C. Bjørnland & Vegard H. Larsen, 2015. "Oil and macroeconomic (in)stability," Working Papers No 7/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Hilde C. Bjørnland & Vegard H. Larsen & Junior Maih, 2017. "Oil and macroeconomic (in)stability," CAMA Working Papers 2017-79, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Hilde C. Bjørnland & Vegard H. Larsen & Junior Maih, 2016. "Oil and macroeconomic (in)stability," Working Paper 2016/12, Norges Bank.
- Hilde C. Bjørnland & Vegard H ghaug Larsen & Junior Maih, 2017. "Oil and macroeconomic (in)stability," Working Papers No 6/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- 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.
- Beckmann, Joscha & Czudaj, Robert, 2013. "Oil prices and effective dollar exchange rates," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 621-636.
- Pan, Zhiyuan & Wang, Yudong & Wu, Chongfeng & Yin, Libo, 2017. "Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 130-142.
- van Eyden, Reneé & Difeto, Mamothoana & Gupta, Rangan & Wohar, Mark E., 2019. "Oil price volatility and economic growth: Evidence from advanced economies using more than a century’s data," Applied Energy, Elsevier, vol. 233, pages 612-621.
- Girardin, Eric & Joyeux, Roselyne, 2013.
"Macro fundamentals as a source of stock market volatility in China: A GARCH-MIDAS approach,"
Economic Modelling, Elsevier, vol. 34(C), pages 59-68.
- Eric Girardin & Roselyne Joyeux, 2013. "Macro fundamentals as a source of stock market volatility in China: A GARCH-MIDAS approach," Post-Print hal-01499615, HAL.
- Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
- Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
- Akram, Q. Farooq, 2009.
"Commodity prices, interest rates and the dollar,"
Energy Economics, Elsevier, vol. 31(6), pages 838-851, November.
- Q. Farooq Akram, 2008. "Commodity prices, interest rates and the dollar," Working Paper 2008/12, Norges Bank.
- Yan‐ran Ma & Qiang Ji & Jiaofeng Pan, 2019. "Oil financialization and volatility forecast: Evidence from multidimensional predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(6), pages 564-581, September.
- Lutz Kilian, 2009.
"Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market,"
American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
- Kilian, Lutz, 2006. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," CEPR Discussion Papers 5994, C.E.P.R. Discussion Papers.
- Robert F. Engle & Eric Ghysels & Bumjean Sohn, 2013. "Stock Market Volatility and Macroeconomic Fundamentals," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 776-797, July.
- Zhou, Zhongbao & Fu, Zhangyan & Jiang, Yong & Zeng, Ximei & Lin, Ling, 2020. "Can economic policy uncertainty predict exchange rate volatility? New evidence from the GARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 34(C).
- Lorusso, Marco & Pieroni, Luca, 2018.
"Causes and consequences of oil price shocks on the UK economy,"
Economic Modelling, Elsevier, vol. 72(C), pages 223-236.
- Marco Lorusso & Luca Pieroni, 2015. "Causes and Consequences of Oil Price Shocks on the UK Economy," CEERP Working Paper Series 002, Centre for Energy Economics Research and Policy, Heriot-Watt University, revised Nov 2015.
- Zhuo Huang & Chen Tong & Tianyi Wang, 2019. "VIX term structure and VIX futures pricing with realized volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 72-93, January.
- Ine Van Robays, 2016. "Macroeconomic Uncertainty and Oil Price Volatility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 671-693, October.
- Hu, Min & Zhang, Dayong & Ji, Qiang & Wei, Lijian, 2020. "Macro factors and the realized volatility of commodities: A dynamic network analysis," Resources Policy, Elsevier, vol. 68(C).
- Alessandra Amendola & Vincenzo Candila & Antonio Scognamillo, 2017.
"On the influence of US monetary policy on crude oil price volatility,"
Empirical Economics, Springer, vol. 52(1), pages 155-178, February.
- Amendola, Alessandra & Candila, Vincenzo & Scognamillo, Antonio, 2015. "On the influence of the U.S. monetary policy on the crude oil price volatility," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207860, Italian Association of Agricultural and Applied Economics (AIEAA).
- Hossein Asgharian & Ai Jun Hou & Farrukh Javed, 2013. "The Importance of the Macroeconomic Variables in Forecasting Stock Return Variance: A GARCH‐MIDAS Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(7), pages 600-612, November.
- I-Hsuan Ethan Chiang & W. Keener Hughen & Jacob S. Sagi, 2015. "Estimating Oil Risk Factors Using Information from Equity and Derivatives Markets," Journal of Finance, American Finance Association, vol. 70(2), pages 769-804, April.
- Officer, R R, 1973. "The Variability of the Market Factor of the New York Stock Exchange," The Journal of Business, University of Chicago Press, vol. 46(3), pages 434-453, July.
- Knut Anton Mork, 1994. "Business Cycles and the Oil Market," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 15-38.
- Engle, Robert F. & White (the late), Halbert (ed.), 1999. "Cointegration, Causality, and Forecasting: Festschrift in Honour of Clive W. J. Granger," OUP Catalogue, Oxford University Press, number 9780198296836.
- Fenghua Wen & Yupei Zhao & Minzhi Zhang & Chunyan Hu, 2019. "Forecasting realized volatility of crude oil futures with equity market uncertainty," Applied Economics, Taylor & Francis Journals, vol. 51(59), pages 6411-6427, December.
- Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39(2), pages 137-137.
- Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004.
"The MIDAS Touch: Mixed Data Sampling Regression Models,"
University of California at Los Angeles, Anderson Graduate School of Management
qt9mf223rs, Anderson Graduate School of Management, UCLA.
- Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," CIRANO Working Papers 2004s-20, CIRANO.
- Zhang, Yue-Jun & Wang, Jin-Li, 2019. "Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models," Energy Economics, Elsevier, vol. 78(C), pages 192-201.
- Chang, Youngho & Wong, Joon Fong, 2003. "Oil price fluctuations and Singapore economy," Energy Policy, Elsevier, vol. 31(11), pages 1151-1165, September.
- Mo, Di & Gupta, Rakesh & Li, Bin & Singh, Tarlok, 2018. "The macroeconomic determinants of commodity futures volatility: Evidence from Chinese and Indian markets," Economic Modelling, Elsevier, vol. 70(C), pages 543-560.
- Holm-Hadulla, Fédéric & Hubrich, Kirstin, 2017.
"Macroeconomic implications of oil price fluctuations: a regime-switching framework for the euro area,"
Working Paper Series
2119, European Central Bank.
- Fédéric Holm-Hadulla & Kirstin Hubrich, 2017. "Macroeconomic Implications of Oil Price Fluctuations : A Regime-Switching Framework for the Euro Area," Finance and Economics Discussion Series 2017-063, Board of Governors of the Federal Reserve System (U.S.).
- Ahmed, Khalid & Bhutto, Niaz Ahmed & Kalhoro, Muhammad Ramzan, 2019.
"Decomposing the links between oil price shocks and macroeconomic indicators: Evidence from SAARC region,"
Resources Policy, Elsevier, vol. 61(C), pages 423-432.
- Ahmed, Khalid & Bhutto, Niaz Ahmed & Kalhoro, Muhammad Ramzan, 2017. "Decomposing the links between oil price shocks and macroeconomic indicators: Evidence from SAARC region," MPRA Paper 84901, University Library of Munich, Germany.
- Dai, Zhifeng & Zhou, Huiting & Wen, Fenghua & He, Shaoyi, 2020. "Efficient predictability of stock return volatility: The role of stock market implied volatility," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
- O. Felix Ayadi, 2005. "Oil price fluctuations and the Nigerian economy," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 29(3), pages 199-217, September.
- Conrad, Christian & Loch, Karin & Rittler, Daniel, 2014. "On the macroeconomic determinants of long-term volatilities and correlations in U.S. stock and crude oil markets," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 26-40.
- Gong, Xu & Lin, Boqiang, 2017. "Forecasting the good and bad uncertainties of crude oil prices using a HAR framework," Energy Economics, Elsevier, vol. 67(C), pages 315-327.
- Xiao, Jihong & Hu, Chunyan & Ouyang, Guangda & Wen, Fenghua, 2019. "Impacts of oil implied volatility shocks on stock implied volatility in China: Empirical evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 80(C), pages 297-309.
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Cited by:
- Sarit Maitra, 2023. "Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation," Papers 2310.01123, arXiv.org, revised Oct 2023.
- Arvian Triantoro & Muhammad Zaheer Akhtar & Shiraz Khan & Khalid Zaman & Haroon ur Rashid Khan & Abdul Wahab Pathath & Muhamad Amar Mahmad & Kamil Sertoglu, 2023. "Riding the Waves of Fluctuating Oil Prices: Decoding the Impact on Economic Growth," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 34-50, March.
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