Do spillover effects between crude oil and natural gas markets disappear? Evidence from option markets
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DOI: 10.1016/j.frl.2017.05.007
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- Xi Fu & Matteo Sandri & Mark B. Shackleton, 2016. "Asymmetric Effects of Volatility Risk on Stock Returns: Evidence from VIX and VIX Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(11), pages 1029-1056, November.
- Ciner, Cetin, 2011. "Commodity prices and inflation: Testing in the frequency domain," Research in International Business and Finance, Elsevier, vol. 25(3), pages 229-237, September.
- Luo, Xingguo & Qin, Shihua, 2017. "Oil price uncertainty and Chinese stock returns: New evidence from the oil volatility index," Finance Research Letters, Elsevier, vol. 20(C), pages 29-34.
- Ji, Qiang & Guo, Jian-Feng, 2015. "Oil price volatility and oil-related events: An Internet concern study perspective," Applied Energy, Elsevier, vol. 137(C), pages 256-264.
- Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M., 2017. "The dynamic linkages between crude oil and natural gas markets," Energy Economics, Elsevier, vol. 62(C), pages 155-170.
- repec:aen:journl:2008v29-03-a03 is not listed on IDEAS
- Bozoklu, Seref & Yilanci, Veli, 2013. "Energy consumption and economic growth for selected OECD countries: Further evidence from the Granger causality test in the frequency domain," Energy Policy, Elsevier, vol. 63(C), pages 877-881.
- repec:aen:journl:2008v29-02-a03 is not listed on IDEAS
- Guo, Jian-Feng & Ji, Qiang, 2013. "How does market concern derived from the Internet affect oil prices?," Applied Energy, Elsevier, vol. 112(C), pages 1536-1543.
- Ciner, Cetin, 2013. "Oil and stock returns: Frequency domain evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 1-11.
- Liu, Ming-Lei & Ji, Qiang & Fan, Ying, 2013. "How does oil market uncertainty interact with other markets? An empirical analysis of implied volatility index," Energy, Elsevier, vol. 55(C), pages 860-868.
- Potts, Todd B. & Yerger, David B., 2016. "Marcellus Shale and structural breaks in oil and gas markets: The case of Pennsylvania," Energy Economics, Elsevier, vol. 57(C), pages 50-58.
- repec:ipg:wpaper:2014-569 is not listed on IDEAS
- Hiroshi Yamada & Wei Yanfeng, 2014. "Some Theoretical and Simulation Results on the Frequency Domain Causality Test," Econometric Reviews, Taylor & Francis Journals, vol. 33(8), pages 936-947, November.
- Atil, Ahmed & Lahiani, Amine & Nguyen, Duc Khuong, 2014.
"Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices,"
Energy Policy, Elsevier, vol. 65(C), pages 567-573.
- Ahmed Atil & Amine Lahiani & Duc Khuong Nguyen, 2014. "Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices," Post-Print halshs-01022598, HAL.
- Jadidzadeh, Ali & Serletis, Apostolos, 2017.
"How does the U.S. natural gas market react to demand and supply shocks in the crude oil market?,"
Energy Economics, Elsevier, vol. 63(C), pages 66-74.
- Ali Jadidzadeh & Apostolos Serletis, "undated". "How Does the U.S. Natural Gas Market React to Demand and Supply Shocks in the Crude Oil Market?," Working Papers 2017-02, Department of Economics, University of Calgary.
- Lemmens, Aurélie & Croux, Christophe & Dekimpe, Marnik G., 2008. "Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys," International Journal of Forecasting, Elsevier, vol. 24(3), pages 414-431.
- Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
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Cited by:
- Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
- Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
- Wei, Zhaohao & Chai, Jian & Dong, Jichang & Lu, Quanying, 2022. "Understanding the linkage-dependence structure between oil and gas markets: A new perspective," Energy, Elsevier, vol. 257(C).
- Ali Jadidzadeh & Mobin Mirzababaei & Apostolos Serletis, 2022. "Oil Prices and the Hydrocarbon Markets: A Review," Energies, MDPI, vol. 15(17), pages 1-9, August.
- Li, Jingyu & Liu, Ranran & Yao, Yanzhen & Xie, Qiwei, 2022. "Time-frequency volatility spillovers across the international crude oil market and Chinese major energy futures markets: Evidence from COVID-19," Resources Policy, Elsevier, vol. 77(C).
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; ; ; ; ;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
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
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