The forecasting power of EPU for crude oil return volatility

Economic policy uncertainty (EPU) has important implications for crude oil market. To explore the implications, this paper investigates the impact of EPU on the crude oil return volatility and which EPU index has the most forecasting power in crude oil market. To this end, we employ the GARCH-MIDAS...

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Published inEnergy reports Vol. 5; pp. 866 - 873
Main Authors Ma, Rufei, Zhou, Changfeng, Cai, Huan, Deng, Chengtao
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier 01.11.2019
Elsevier Ltd
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Abstract Economic policy uncertainty (EPU) has important implications for crude oil market. To explore the implications, this paper investigates the impact of EPU on the crude oil return volatility and which EPU index has the most forecasting power in crude oil market. To this end, we employ the GARCH-MIDAS model which can incorporate lower frequency EPU index variable with higher frequency crude oil return variable effectively. We find that EPU has a positive and significant impact on the crude oil return volatility, but the effect is short-lived and the decay period is about one year. Particularly, our results show that the US EPU index has the best forecasting power for crude oil return volatility over the long-term, whereas China EPU index has the best forecasting performance in the past one year. Our findings have important implications on risk management for investors in crude oil market.
AbstractList Economic policy uncertainty (EPU) has important implications for crude oil market. To explore the implications, this paper investigates the impact of EPU on the crude oil return volatility and which EPU index has the most forecasting power in crude oil market. To this end, we employ the GARCH-MIDAS model which can incorporate lower frequency EPU index variable with higher frequency crude oil return variable effectively. We find that EPU has a positive and significant impact on the crude oil return volatility, but the effect is short-lived and the decay period is about one year. Particularly, our results show that the US EPU index has the best forecasting power for crude oil return volatility over the long-term, whereas China EPU index has the best forecasting performance in the past one year. Our findings have important implications on risk management for investors in crude oil market. JEL classification: C32, C58, E32, Q41, Q47, Keywords: Economic policy uncertainty, EPU index, Crude-oil return volatility, GARCH-MIDAS
Economic policy uncertainty (EPU) has important implications for crude oil market. To explore the implications, this paper investigates the impact of EPU on the crude oil return volatility and which EPU index has the most forecasting power in crude oil market. To this end, we employ the GARCH-MIDAS model which can incorporate lower frequency EPU index variable with higher frequency crude oil return variable effectively. We find that EPU has a positive and significant impact on the crude oil return volatility, but the effect is short-lived and the decay period is about one year. Particularly, our results show that the US EPU index has the best forecasting power for crude oil return volatility over the long-term, whereas China EPU index has the best forecasting performance in the past one year. Our findings have important implications on risk management for investors in crude oil market.
Author Ma, Rufei
Cai, Huan
Deng, Chengtao
Zhou, Changfeng
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Cites_doi 10.1016/j.eneco.2010.07.009
10.1016/j.energy.2013.04.037
10.1162/REST_a_00300
10.1016/j.eneco.2006.04.005
10.1111/j.1468-2354.2009.00568.x
10.1108/JES-11-2016-0218
10.2139/ssrn.3294967
10.1016/j.jempfin.2017.06.005
10.1016/j.jbankfin.2014.05.026
10.1016/j.eneco.2008.09.006
10.1016/j.eneco.2014.05.007
10.1016/j.najef.2017.12.003
10.1016/j.jbankfin.2015.09.008
10.1002/jae.800
10.1016/j.eneco.2016.01.012
10.3386/w21633
10.3982/ECTA5771
10.1002/fut.21897
10.5018/economics-ejournal.ja.2016-20
10.1016/j.econmod.2017.04.020
10.1086/294743
10.1111/j.1540-6261.1989.tb02647.x
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Keywords C32
Economic policy uncertainty
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EPU index
GARCH-MIDAS
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Crude-oil return volatility
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References Schwert (b22) 1989; 44
Antonakakis, Chatziantoniou, Filis (b2) 2014; 44
Hansen, Lunde, Nason (b11) 2011; 79
Tian, Hamori (b23) 2015; 61
Kang, Kang, Yoon (b13) 2009; 31
Hansen, Lunde (b10) 2005; 20
Kilian, Park (b14) 2009; 50
Baker, S.R., Bloom, N., Davis, S.J., 2013. Measuring Economic Policy Uncertainty. Chicago Booth Research Paper 13–02, Stanford University, Department of Economics 22, 81.
Wei, Wang, Huang (b24) 2010; 32
Aloui, Gupta, Miller (b1) 2016; 55
Fang, Chen, Yu, Qian (b9) 2017; 38
Nguyen, D.K., Walther, T., 2018. Modeling and Forecasting Commodity Market Volatility with Long-term Economic and Financial Variables, Mpra Paper.
Baker, S.R., Bloom, N., Davis, S.J., 2015. Measuring Economic Policy Uncertainty, Cep Discussion Papers.
Engle, Ghysels, Sohn (b7) 2013; 95
Ma, Liu, Huang, Chen (b17) 2017; 64
Yin, Zhou (b25) 2016; 10
Dutta (b6) 2017; 44
Fama (b8) 1965; 38
Liu, Fan (b15) 2013; 55
Lu, Cai, Hamori (b16) 2018; 44
Pan, Wang, Wu, Yin (b20) 2017; 43
Haugom, Langeland, Molnr, Peter Westgaard (b12) 2014; 47
Conrad, Loch, Rittler (b5) 2015; 29
Ma, Wahab, Liu, Liu (b18) 2017; 50
Sadorsky (b21) 2006; 28
Hansen (10.1016/j.egyr.2019.07.002_b10) 2005; 20
Haugom (10.1016/j.egyr.2019.07.002_b12) 2014; 47
Yin (10.1016/j.egyr.2019.07.002_b25) 2016; 10
Lu (10.1016/j.egyr.2019.07.002_b16) 2018; 44
Kilian (10.1016/j.egyr.2019.07.002_b14) 2009; 50
Aloui (10.1016/j.egyr.2019.07.002_b1) 2016; 55
10.1016/j.egyr.2019.07.002_b4
10.1016/j.egyr.2019.07.002_b3
Conrad (10.1016/j.egyr.2019.07.002_b5) 2015; 29
Kang (10.1016/j.egyr.2019.07.002_b13) 2009; 31
Wei (10.1016/j.egyr.2019.07.002_b24) 2010; 32
Engle (10.1016/j.egyr.2019.07.002_b7) 2013; 95
Ma (10.1016/j.egyr.2019.07.002_b17) 2017; 64
Fang (10.1016/j.egyr.2019.07.002_b9) 2017; 38
Hansen (10.1016/j.egyr.2019.07.002_b11) 2011; 79
Ma (10.1016/j.egyr.2019.07.002_b18) 2017; 50
Dutta (10.1016/j.egyr.2019.07.002_b6) 2017; 44
Liu (10.1016/j.egyr.2019.07.002_b15) 2013; 55
Pan (10.1016/j.egyr.2019.07.002_b20) 2017; 43
Schwert (10.1016/j.egyr.2019.07.002_b22) 1989; 44
Antonakakis (10.1016/j.egyr.2019.07.002_b2) 2014; 44
Sadorsky (10.1016/j.egyr.2019.07.002_b21) 2006; 28
Tian (10.1016/j.egyr.2019.07.002_b23) 2015; 61
Fama (10.1016/j.egyr.2019.07.002_b8) 1965; 38
10.1016/j.egyr.2019.07.002_b19
References_xml – volume: 28
  start-page: 467
  year: 2006
  end-page: 488
  ident: b21
  article-title: Modeling and forecasting petroleum futures volatility
  publication-title: Energy Econ.
  contributor:
    fullname: Sadorsky
– volume: 44
  start-page: 1003
  year: 2017
  end-page: 1016
  ident: b6
  article-title: Modeling and forecasting oil price risk: the role of implied volatility index
  publication-title: J. Econ. Stud.
  contributor:
    fullname: Dutta
– volume: 32
  start-page: 1477
  year: 2010
  end-page: 1484
  ident: b24
  article-title: Forecasting crude oil market volatility: Further evidence using garch-class models
  publication-title: Energy Econ.
  contributor:
    fullname: Huang
– volume: 44
  start-page: 140
  year: 2018
  end-page: 152
  ident: b16
  article-title: What determines the long-term correlation between oil prices and exchange rates?
  publication-title: N. Am. J. Econ. Finance
  contributor:
    fullname: Hamori
– volume: 64
  year: 2017
  ident: b17
  article-title: Forecasting the oil futures price volatility: A new approach
  publication-title: Econ. Model.
  contributor:
    fullname: Chen
– volume: 50
  start-page: 1267
  year: 2009
  end-page: 1287
  ident: b14
  article-title: The impact of oil price shocks on the U.S. stock market
  publication-title: Internat. Econom. Rev.
  contributor:
    fullname: Park
– volume: 95
  year: 2013
  ident: b7
  article-title: Stock market volatility and macroeconomic fundamentals
  publication-title: Rev. Econ. Statist.
  contributor:
    fullname: Sohn
– volume: 55
  start-page: 860
  year: 2013
  end-page: 868
  ident: b15
  article-title: How does oil market uncertainty interact with other markets? an empirical analysis of implied volatility index
  publication-title: Energy
  contributor:
    fullname: Fan
– volume: 38
  start-page: 34
  year: 1965
  end-page: 105
  ident: b8
  article-title: The behavior of stock-market prices
  publication-title: J. Bus.
  contributor:
    fullname: Fama
– volume: 79
  start-page: 453
  year: 2011
  end-page: 497
  ident: b11
  article-title: The model confidence set
  publication-title: Econometrica
  contributor:
    fullname: Nason
– volume: 44
  start-page: 1115
  year: 1989
  end-page: 1153
  ident: b22
  article-title: Why does stock market volatility change over time?
  publication-title: J. Finance
  contributor:
    fullname: Schwert
– volume: 44
  start-page: 433
  year: 2014
  end-page: 447
  ident: b2
  article-title: Dynamic spillovers of oil price shocks and economic policy uncertainty
  publication-title: Energy Econ.
  contributor:
    fullname: Filis
– volume: 29
  start-page: 26
  year: 2015
  end-page: 40
  ident: b5
  article-title: On the macroeconomic determinants of long-term volatilities and correlations in U.S. stock and crude oil markets
  publication-title: J. Empir. Financ.
  contributor:
    fullname: Rittler
– volume: 20
  start-page: 873
  year: 2005
  end-page: 889
  ident: b10
  article-title: A forecast comparison of volatility models: Does anything beat a garch(1,1)
  publication-title: J. Appl. Econometrics
  contributor:
    fullname: Lunde
– volume: 38
  year: 2017
  ident: b9
  article-title: The importance of global economic policy uncertainty in predicting gold futures market volatility: A garch?midas approach
  publication-title: J. Futures Mark.
  contributor:
    fullname: Qian
– volume: 31
  start-page: 119
  year: 2009
  end-page: 125
  ident: b13
  article-title: Forecasting volatility of crude oil markets ?
  publication-title: Energy Econ.
  contributor:
    fullname: Yoon
– volume: 43
  year: 2017
  ident: b20
  article-title: Oil price volatility and macroeconomic fundamentals: A regime switching garch-midas model
  publication-title: J. Empir. Financ.
  contributor:
    fullname: Yin
– volume: 10
  year: 2016
  ident: b25
  article-title: What drives long-term oil market volatility? fundamentals versus speculation
  publication-title: Econ. E-J.
  contributor:
    fullname: Zhou
– volume: 50
  start-page: 1
  year: 2017
  end-page: 15
  ident: b18
  article-title: Is economic policy uncertainty important to forecast the realized volatility of crude oil futures?
  publication-title: Appl. Econ.
  contributor:
    fullname: Liu
– volume: 61
  start-page: 158
  year: 2015
  end-page: 171
  ident: b23
  article-title: Modeling interest rate volatility: A realized garch approach
  publication-title: J. Bank. Financ.
  contributor:
    fullname: Hamori
– volume: 47
  start-page: 1
  year: 2014
  end-page: 14
  ident: b12
  article-title: Forecasting volatility of the U.S. oil market
  publication-title: J. Bank. Financ.
  contributor:
    fullname: Peter Westgaard
– volume: 55
  start-page: 92
  year: 2016
  end-page: 100
  ident: b1
  article-title: Uncertainty and crude oil returns ?
  publication-title: Energy Econ.
  contributor:
    fullname: Miller
– volume: 32
  start-page: 1477
  issue: 6
  year: 2010
  ident: 10.1016/j.egyr.2019.07.002_b24
  article-title: Forecasting crude oil market volatility: Further evidence using garch-class models
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2010.07.009
  contributor:
    fullname: Wei
– volume: 55
  start-page: 860
  year: 2013
  ident: 10.1016/j.egyr.2019.07.002_b15
  article-title: How does oil market uncertainty interact with other markets? an empirical analysis of implied volatility index
  publication-title: Energy
  doi: 10.1016/j.energy.2013.04.037
  contributor:
    fullname: Liu
– volume: 95
  issue: 3
  year: 2013
  ident: 10.1016/j.egyr.2019.07.002_b7
  article-title: Stock market volatility and macroeconomic fundamentals
  publication-title: Rev. Econ. Statist.
  doi: 10.1162/REST_a_00300
  contributor:
    fullname: Engle
– volume: 28
  start-page: 467
  issue: 4
  year: 2006
  ident: 10.1016/j.egyr.2019.07.002_b21
  article-title: Modeling and forecasting petroleum futures volatility
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2006.04.005
  contributor:
    fullname: Sadorsky
– volume: 50
  start-page: 1267
  issue: 4
  year: 2009
  ident: 10.1016/j.egyr.2019.07.002_b14
  article-title: The impact of oil price shocks on the U.S. stock market
  publication-title: Internat. Econom. Rev.
  doi: 10.1111/j.1468-2354.2009.00568.x
  contributor:
    fullname: Kilian
– volume: 44
  start-page: 1003
  issue: 6
  year: 2017
  ident: 10.1016/j.egyr.2019.07.002_b6
  article-title: Modeling and forecasting oil price risk: the role of implied volatility index
  publication-title: J. Econ. Stud.
  doi: 10.1108/JES-11-2016-0218
  contributor:
    fullname: Dutta
– ident: 10.1016/j.egyr.2019.07.002_b19
  doi: 10.2139/ssrn.3294967
– volume: 50
  start-page: 1
  issue: 17
  year: 2017
  ident: 10.1016/j.egyr.2019.07.002_b18
  article-title: Is economic policy uncertainty important to forecast the realized volatility of crude oil futures?
  publication-title: Appl. Econ.
  contributor:
    fullname: Ma
– volume: 43
  year: 2017
  ident: 10.1016/j.egyr.2019.07.002_b20
  article-title: Oil price volatility and macroeconomic fundamentals: A regime switching garch-midas model
  publication-title: J. Empir. Financ.
  doi: 10.1016/j.jempfin.2017.06.005
  contributor:
    fullname: Pan
– ident: 10.1016/j.egyr.2019.07.002_b3
– volume: 47
  start-page: 1
  issue: C
  year: 2014
  ident: 10.1016/j.egyr.2019.07.002_b12
  article-title: Forecasting volatility of the U.S. oil market
  publication-title: J. Bank. Financ.
  doi: 10.1016/j.jbankfin.2014.05.026
  contributor:
    fullname: Haugom
– volume: 31
  start-page: 119
  issue: 1
  year: 2009
  ident: 10.1016/j.egyr.2019.07.002_b13
  article-title: Forecasting volatility of crude oil markets ?
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2008.09.006
  contributor:
    fullname: Kang
– volume: 44
  start-page: 433
  issue: 1
  year: 2014
  ident: 10.1016/j.egyr.2019.07.002_b2
  article-title: Dynamic spillovers of oil price shocks and economic policy uncertainty
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2014.05.007
  contributor:
    fullname: Antonakakis
– volume: 44
  start-page: 140
  year: 2018
  ident: 10.1016/j.egyr.2019.07.002_b16
  article-title: What determines the long-term correlation between oil prices and exchange rates?
  publication-title: N. Am. J. Econ. Finance
  doi: 10.1016/j.najef.2017.12.003
  contributor:
    fullname: Lu
– volume: 61
  start-page: 158
  year: 2015
  ident: 10.1016/j.egyr.2019.07.002_b23
  article-title: Modeling interest rate volatility: A realized garch approach
  publication-title: J. Bank. Financ.
  doi: 10.1016/j.jbankfin.2015.09.008
  contributor:
    fullname: Tian
– volume: 20
  start-page: 873
  issue: 7
  year: 2005
  ident: 10.1016/j.egyr.2019.07.002_b10
  article-title: A forecast comparison of volatility models: Does anything beat a garch(1,1)
  publication-title: J. Appl. Econometrics
  doi: 10.1002/jae.800
  contributor:
    fullname: Hansen
– volume: 55
  start-page: 92
  issue: 2016
  year: 2016
  ident: 10.1016/j.egyr.2019.07.002_b1
  article-title: Uncertainty and crude oil returns ?
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2016.01.012
  contributor:
    fullname: Aloui
– ident: 10.1016/j.egyr.2019.07.002_b4
  doi: 10.3386/w21633
– volume: 79
  start-page: 453
  issue: 2
  year: 2011
  ident: 10.1016/j.egyr.2019.07.002_b11
  article-title: The model confidence set
  publication-title: Econometrica
  doi: 10.3982/ECTA5771
  contributor:
    fullname: Hansen
– volume: 29
  start-page: 26
  issue: 3462
  year: 2015
  ident: 10.1016/j.egyr.2019.07.002_b5
  article-title: On the macroeconomic determinants of long-term volatilities and correlations in U.S. stock and crude oil markets
  publication-title: J. Empir. Financ.
  contributor:
    fullname: Conrad
– volume: 38
  issue: 3
  year: 2017
  ident: 10.1016/j.egyr.2019.07.002_b9
  article-title: The importance of global economic policy uncertainty in predicting gold futures market volatility: A garch?midas approach
  publication-title: J. Futures Mark.
  doi: 10.1002/fut.21897
  contributor:
    fullname: Fang
– volume: 10
  year: 2016
  ident: 10.1016/j.egyr.2019.07.002_b25
  article-title: What drives long-term oil market volatility? fundamentals versus speculation
  publication-title: Econ. E-J.
  doi: 10.5018/economics-ejournal.ja.2016-20
  contributor:
    fullname: Yin
– volume: 64
  year: 2017
  ident: 10.1016/j.egyr.2019.07.002_b17
  article-title: Forecasting the oil futures price volatility: A new approach
  publication-title: Econ. Model.
  doi: 10.1016/j.econmod.2017.04.020
  contributor:
    fullname: Ma
– volume: 38
  start-page: 34
  issue: 1
  year: 1965
  ident: 10.1016/j.egyr.2019.07.002_b8
  article-title: The behavior of stock-market prices
  publication-title: J. Bus.
  doi: 10.1086/294743
  contributor:
    fullname: Fama
– volume: 44
  start-page: 1115
  issue: 5
  year: 1989
  ident: 10.1016/j.egyr.2019.07.002_b22
  article-title: Why does stock market volatility change over time?
  publication-title: J. Finance
  doi: 10.1111/j.1540-6261.1989.tb02647.x
  contributor:
    fullname: Schwert
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Snippet Economic policy uncertainty (EPU) has important implications for crude oil market. To explore the implications, this paper investigates the impact of EPU on...
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SubjectTerms Crude-oil return volatility
Economic policy uncertainty
EPU index
GARCH-MIDAS
Title The forecasting power of EPU for crude oil return volatility
URI https://www.econstor.eu/handle/10419/243634
https://dx.doi.org/10.1016/j.egyr.2019.07.002
https://doaj.org/article/4a8e08efd1554bc79ef7b94df9744c32
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