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Jumps and stochastic volatility in oil prices: Time series evidence
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- Charles, Amélie & Darné, Olivier, 2014.
"Volatility persistence in crude oil markets,"
Energy Policy, Elsevier, vol. 65(C), pages 729-742.
- Amélie Charles & Olivier Darné, 2012. "Volatility Persistence in Crude Oil Markets," Working Papers hal-00719387, HAL.
- Amélie Charles & Olivier Darné, 2014. "Volatility persistence in crude oil markets," Post-Print hal-00940312, HAL.
- Gudkov, Nikolay & Ignatieva, Katja, 2021. "Electricity price modelling with stochastic volatility and jumps: An empirical investigation," Energy Economics, Elsevier, vol. 98(C).
- Wen, Jun & Zhao, Xin-Xin & Chang, Chun-Ping, 2021. "The impact of extreme events on energy price risk," Energy Economics, Elsevier, vol. 99(C).
- Demirer, Riza & Gupta, Rangan & Suleman, Tahir & Wohar, Mark E., 2018.
"Time-varying rare disaster risks, oil returns and volatility,"
Energy Economics, Elsevier, vol. 75(C), pages 239-248.
- Rıza Demirer & Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2017. "Time-Varying Rare Disaster Risks, Oil Returns and Volatility," Working Papers 201762, University of Pretoria, Department of Economics.
- Ioannis Kyriakou & Panos K. Pouliasis & Nikos C. Papapostolou, 2016. "Jumps and stochastic volatility in crude oil prices and advances in average option pricing," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1859-1873, December.
- Maslyuk-Escobedo, Svetlana & Rotaru, Kristian & Dokumentov, Alexander, 2017. "News sentiment and jumps in energy spot and futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 186-210.
- Margaret Insley, 2013. "On the timing of non-renewable resource extraction with regime switching prices: an optimal stochastic control approach," Working Papers 1302, University of Waterloo, Department of Economics, revised Aug 2013.
- Wang, Yudong & Hao, Xianfeng, 2022. "Forecasting the real prices of crude oil: A robust weighted least squares approach," Energy Economics, Elsevier, vol. 116(C).
- Aggarwal, Raj & Akhigbe, Aigbe & Mohanty, Sunil K., 2012. "Oil price shocks and transportation firm asset prices," Energy Economics, Elsevier, vol. 34(5), pages 1370-1379.
- Márcio Poletti Laurini & Roberto Baltieri Mauad & Fernando Antonio Lucena Aiube, 2016. "Multivariate Stochastic Volatility-Double Jump Model: an application for oil assets," Working Papers Series 415, Central Bank of Brazil, Research Department.
- Chan, Leo H. & Nguyen, Chi M. & Chan, Kam C., 2015. "A new approach to measure speculation in the oil futures market and some policy implications," Energy Policy, Elsevier, vol. 86(C), pages 133-141.
- Bonaccolto, G. & Caporin, M. & Gupta, R., 2018.
"The dynamic impact of uncertainty in causing and forecasting the distribution of oil returns and risk,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 446-469.
- Giovanni Bonaccolto & Massimiliano Caporin & Rangan Gupta, 2015. "The Dynamic Impact of Uncertainty in Causing and Forecasting the Distribution of Oil Returns and Risk," Working Papers 201564, University of Pretoria, Department of Economics.
- Chan, Ying Tung & Dong, Yilin, 2022. "How does oil price volatility affect unemployment rates? A dynamic stochastic general equilibrium model," Economic Modelling, Elsevier, vol. 114(C).
- Agbeyegbe, Terence D., 2015.
"An inverted U-shaped crude oil price return-implied volatility relationship,"
Review of Financial Economics, Elsevier, vol. 27(C), pages 28-45.
- Terence D. Agbeyegbe, 2015. "An inverted U‐shaped crude oil price return‐implied volatility relationship," Review of Financial Economics, John Wiley & Sons, vol. 27(1), pages 28-45, November.
- Eunhee Lee & Doo Bong Han & Rodolfo M. Nayga, 2017.
"A common factor of stochastic volatilities between oil and commodity prices,"
Applied Economics, Taylor & Francis Journals, vol. 49(22), pages 2203-2215, May.
- Lee, Eunhee & Han, Doo Bong & Ito, Shoichi & Rodolfo M. Nayga, Jr, 2015. "A common factor of stochastic volatilities between oil and commodity prices," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205771, Agricultural and Applied Economics Association.
- Aboura, Sofiane & Chevallier, Julien, 2013.
"Leverage vs. feedback: Which Effect drives the oil market?,"
Finance Research Letters, Elsevier, vol. 10(3), pages 131-141.
- Sofiane Aboura & Julien Chevallier, 2012. "Leverage vs. Feedback: Which Effect Drives the Oil Market?," Working Papers halshs-00720156, HAL.
- Julien Chevallier & Sofiane Aboura, 2013. "Leverage vs. Feedback: Which Effect Drives the Oil Market ?," Post-Print hal-01531283, HAL.
- Zhu, Xuehong & Zhang, Hongwei & Zhong, Meirui, 2017. "Volatility forecasting using high frequency data: The role of after-hours information and leverage effects," Resources Policy, Elsevier, vol. 54(C), pages 58-70.
- Insley, Margaret, 2017. "Resource extraction with a carbon tax and regime switching prices: Exercising your options," Energy Economics, Elsevier, vol. 67(C), pages 1-16.
- Z. Nikooeinejad & M. Heydari & M. Saffarzadeh & G. B. Loghmani & J. Engwerda, 2022. "Numerical Simulation of Non-cooperative and Cooperative Equilibrium Solutions for a Stochastic Government Debt Stabilization Game," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 775-801, February.
- Zhang, Yue-Jun & Zhang, Lu, 2015. "Interpreting the crude oil price movements: Evidence from the Markov regime switching model," Applied Energy, Elsevier, vol. 143(C), pages 96-109.
- Wen, Fenghua & Gong, Xu & Cai, Shenghua, 2016. "Forecasting the volatility of crude oil futures using HAR-type models with structural breaks," Energy Economics, Elsevier, vol. 59(C), pages 400-413.
- Gaye GENCER & Sercan DEMIRALAY, 2013.
"The impact of oil prices on sectoral returns: an empirical analysis from Borsa Istanbul,"
Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(12(589)), pages 7-24, December.
- Gaye Gencer & Sercan Demiralay, 2013. "The Impact of Oil Prices on Sectoral Returns: An Empirical Analysis from Borsa Istanbul," EY International Congress on Economics I (EYC2013), October 24-25, 2013, Ankara, Turkey 245, Ekonomik Yaklasim Association.
- Juan Hoyo & Guillermo Llorente & Carlos Rivero, 2020. "A Testing Procedure for Constant Parameters in Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 163-186, June.
- Jian Chai & Shubin Wang & Shouyang Wang & Ju’e Guo, 2012. "Demand Forecast of Petroleum Product Consumption in the Chinese Transportation Industry," Energies, MDPI, vol. 5(3), pages 1-22, March.
- Hu, Zhihao & Yang, Ben-Zhang & He, Xin-Jiang & Yue, Jia, 2024. "Equilibrium pricing of European crude oil options with stochastic behaviour and jump risks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 219(C), pages 212-230.
- Charles, Amélie & Darné, Olivier, 2017.
"Forecasting crude-oil market volatility: Further evidence with jumps,"
Energy Economics, Elsevier, vol. 67(C), pages 508-519.
- Amélie Charles & Olivier Darné, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Post-Print hal-01598141, HAL.
- Laurini, Márcio Poletti & Mauad, Roberto Baltieri & Aiube, Fernando Antônio Lucena, 2020. "The impact of co-jumps in the oil sector," Research in International Business and Finance, Elsevier, vol. 52(C).
- Jean Pierre Fernández Prada Saucedo & Gabriel Rodríguez, 2020. "Modeling the Volatility of Returns on Commodities: An Application and Empirical Comparison of GARCH and SV Models," Documentos de Trabajo / Working Papers 2020-484, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Lu Wang & Feng Ma & Guoshan Liu & Qiaoqi Lang, 2023. "Do extreme shocks help forecast oil price volatility? The augmented GARCH‐MIDAS approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 2056-2073, April.
- Töppel, Jannick & Tränkler, Timm, 2019. "Modeling energy efficiency insurances and energy performance contracts for a quantitative comparison of risk mitigation potential," Energy Economics, Elsevier, vol. 80(C), pages 842-859.
- Baum, Christopher F. & Zerilli, Paola & Chen, Liyuan, 2021.
"Stochastic volatility, jumps and leverage in energy and stock markets: Evidence from high frequency data,"
Energy Economics, Elsevier, vol. 93(C).
- Christopher F Baum & Paola Zerilli & Liyuan Chen, 2018. "Stochastic volatility, jumps and leverage in energy and stock markets: evidence from high frequency data," Boston College Working Papers in Economics 952, Boston College Department of Economics, revised 29 May 2019.
- V., Ernesto Guerra & H., Eugenio Bobenrieth & H., Juan Bobenrieth & Wright, Brian D., 2023. "Endogenous thresholds in energy prices: Modeling and empirical estimation," Energy Economics, Elsevier, vol. 121(C).
- Chan, Joshua C.C. & Grant, Angelia L., 2016.
"Modeling energy price dynamics: GARCH versus stochastic volatility,"
Energy Economics, Elsevier, vol. 54(C), pages 182-189.
- Joshua C.C. Chan & Angelia L. Grant, 2015. "Modeling energy price dynamics: GARCH versus stochastic volatility," CAMA Working Papers 2015-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Baum, Christopher F. & Zerilli, Paola, 2016.
"Jumps and stochastic volatility in crude oil futures prices using conditional moments of integrated volatility,"
Energy Economics, Elsevier, vol. 53(C), pages 175-181.
- Christopher F Baum & Paola Zerilli, 2014. "Jumps and stochastic volatility in crude oil futures prices using conditional moments of integrated volatility," Boston College Working Papers in Economics 860, Boston College Department of Economics.
- Cortazar, Gonzalo & Lopez, Matias & Naranjo, Lorenzo, 2017. "A multifactor stochastic volatility model of commodity prices," Energy Economics, Elsevier, vol. 67(C), pages 182-201.
- Ioannis Kyriakou & Nikos K. Nomikos & Nikos C. Papapostolou & Panos K. Pouliasis, 2016. "Affine†Structure Models and the Pricing of Energy Commodity Derivatives," European Financial Management, European Financial Management Association, vol. 22(5), pages 853-881, November.
- Gonzato, Luca & Sgarra, Carlo, 2021. "Self-exciting jumps in the oil market: Bayesian estimation and dynamic hedging," Energy Economics, Elsevier, vol. 99(C).
- 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.
- Chih-Chen Hsu & An-Sing Chen & Shih-Kuei Lin & Ting-Fu Chen, 2017. "The affine styled-facts price dynamics for the natural gas: evidence from daily returns and option prices," Review of Quantitative Finance and Accounting, Springer, vol. 48(3), pages 819-848, April.
- Emmanuel E. Okoro & Lawrence U. Okoye & Ikechukwu S. Okafor & Tamunotonjo Obomanu & Ngozi Adeleye, 2021. "Impact of Production Sharing Contract Price Sliding Royalty: The case of Nigeria s Deepwater Operation," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 261-268.
- Liang, Chao & Wang, Lu & Duong, Duy, 2024. "More attention and better volatility forecast accuracy: How does war attention affect stock volatility predictability?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 1-19.
- Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhuang, Xin-Tian, 2018. "Modeling volatility dynamics using non-Gaussian stochastic volatility model based on band matrix routine," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 193-201.
- Mehrdoust, Farshid & Noorani, Idin & Kanniainen, Juho, 2024. "Valuation of option price in commodity markets described by a Markov-switching model: A case study of WTI crude oil market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 215(C), pages 228-269.
- Chang, Hao-Wen & Lin, Chinho, 2023. "Currency portfolio behavior in seven major Asian markets," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 540-559.
- Da Fonseca, José & Ignatieva, Katja & Ziveyi, Jonathan, 2016. "Explaining credit default swap spreads by means of realized jumps and volatilities in the energy market," Energy Economics, Elsevier, vol. 56(C), pages 215-228.
- Volk-Makarewicz, Warren & Borovkova, Svetlana & Heidergott, Bernd, 2022. "Assessing the impact of jumps in an option pricing model: A gradient estimation approach," European Journal of Operational Research, Elsevier, vol. 298(2), pages 740-751.
- Fileccia, Gaetano & Sgarra, Carlo, 2018. "A particle filtering approach to oil futures price calibration and forecasting," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 21-34.
- Baltuttis, Dennik & Töppel, Jannick & Tränkler, Timm & Wiethe, Christian, 2020. "Managing the risks of energy efficiency insurances in a portfolio context: An actuarial diversification approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
- Ignatieva, Katja & Wong, Patrick, 2022. "Modelling high frequency crude oil dynamics using affine and non-affine jump–diffusion models," Energy Economics, Elsevier, vol. 108(C).
- Kim, Jungmu & Park, Yuen Jung & Ryu, Doojin, 2017. "Stochastic volatility of the futures prices of emission allowances: A Bayesian approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 714-724.
- Yingying Xu & Donald Lien, 2022. "Forecasting volatilities of oil and gas assets: A comparison of GAS, GARCH, and EGARCH models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 259-278, March.
- Nonejad, Nima, 2017. "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 61(C), pages 388-408.
- Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023.
"Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023,"
Finance Research Letters, Elsevier, vol. 58(PC).
- Rangan Gupta & Qiang Ji & Christian Pierdzioch & Vasilios Plakandaras, 2023. "Forecasting the Conditional Distribution of Realized Volatility of Oil Price Returns: The Role of Skewness over 1859 to 2023," Working Papers 202318, University of Pretoria, Department of Economics.
- Lee, Eunhee & Han, Doo Bong, 2016. "Oil Price Volatility and Asymmetric Leverage Effects," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235480, Agricultural and Applied Economics Association.
- Virbickaitė, Audronė & Ausín, M. Concepción & Galeano, Pedro, 2020. "Copula stochastic volatility in oil returns: Approximate Bayesian computation with volatility prediction," Energy Economics, Elsevier, vol. 92(C).
- Siddiqui, Atiq W. & Basu, Rounaq, 2020. "An empirical analysis of relationships between cyclical components of oil price and tanker freight rates," Energy, Elsevier, vol. 200(C).
- Mário Correia Fernandes & José Carlos Dias & João Pedro Vidal Nunes, 2024. "Performance comparison of alternative stochastic volatility models and its determinants in energy futures: COVID‐19 and Russia–Ukraine conflict features," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 343-383, March.
- Chen, Yixiang & Ma, Feng & Zhang, Yaojie, 2019. "Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets," Energy Economics, Elsevier, vol. 81(C), pages 52-62.