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Climate risk perception and oil financialization in China: Evidence from a time-varying Granger model

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  • Ren, Xiaohang
  • Fu, Chenjia
  • Jin, Yi

Abstract

Financialization has introduced a new dimension to the oil market by incorporating various financial instruments and market participants. This study thus firstly measures the oil financialization by using daily data on Shanghai crude oil futures and Shanghai composite index. The results identify a lower level of oil financialization in China, implying that the oil market is independent on the stock market. Moreover, the exogenous events volatile the degree of oil financialization. We then estimate the impact of climate risk perception on oil financialization using a time-varying Granger model. Novel evidence finds negative and significant time-varying coefficients of climate risk perception on oil financialization, indicating that the effect of climate risk perception is non-constant over time. The empirical results reinforce the implications of the bounded rationality decision and signal theory.

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  • Ren, Xiaohang & Fu, Chenjia & Jin, Yi, 2025. "Climate risk perception and oil financialization in China: Evidence from a time-varying Granger model," Research in International Business and Finance, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:riibaf:v:74:y:2025:i:c:s0275531924004550
    DOI: 10.1016/j.ribaf.2024.102662
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    as
    1. Liu, Min & Lee, Chien-Chiang, 2021. "Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting," Energy Economics, Elsevier, vol. 103(C).
    2. Wen, Fenghua & Zhang, Minzhi & Xiao, Jihong & Yue, Wei, 2022. "The impact of oil price shocks on the risk-return relation in the Chinese stock market," Finance Research Letters, Elsevier, vol. 47(PB).
    3. Vincenzo Candila & Denis Maximov & Alexey Mikhaylov & Nikita Moiseev & Tomonobu Senjyu & Nicole Tryndina, 2021. "On the Relationship between Oil and Exchange Rates of Oil-Exporting and Oil-Importing Countries: From the Great Recession Period to the COVID-19 Era," Energies, MDPI, vol. 14(23), pages 1-18, December.
    4. Behnam Zakeri & Katsia Paulavets & Leonardo Barreto-Gomez & Luis Gomez Echeverri & Shonali Pachauri & Benigna Boza-Kiss & Caroline Zimm & Joeri Rogelj & Felix Creutzig & Diana Ürge-Vorsatz & David G. , 2022. "Pandemic, War, and Global Energy Transitions," Energies, MDPI, vol. 15(17), pages 1-23, August.
    5. Michael Spence, 2002. "Signaling in Retrospect and the Informational Structure of Markets," American Economic Review, American Economic Association, vol. 92(3), pages 434-459, June.
    6. Lv, Fei & Yang, Chen & Fang, Libing, 2020. "Do the crude oil futures of the Shanghai International Energy Exchange improve asset allocation of Chinese petrochemical-related stocks?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    7. Ma, Yan-Ran & Ji, Qiang & Wu, Fei & Pan, Jiaofeng, 2021. "Financialization, idiosyncratic information and commodity co-movements," Energy Economics, Elsevier, vol. 94(C).
    8. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    9. Panpan Wang & Xiaoxing Liu & Tsungwu Ho & Yishi Li, 2024. "The effect of the US dollar exchange rate on oil prices: An oil financialization perspective," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1301-1317, April.
    10. Sharma, Aarzoo, 2022. "A comparative analysis of the financialization of commodities during COVID-19 and the global financial crisis using a quantile regression approach," Resources Policy, Elsevier, vol. 78(C).
    11. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    12. Zhaobo Zhu & Yi Jin & Pengxiang Zhai, 2022. "Oil Price Shocks and Bank Risk around the World," Post-Print hal-03834482, HAL.
    13. Ke Tang & Wei Xiong, 2012. "Index Investment and the Financialization of Commodities," Financial Analysts Journal, Taylor & Francis Journals, vol. 68(6), pages 54-74, November.
    14. Bernardi, Mauro & Catania, Leopoldo, 2018. "Portfolio optimisation under flexible dynamic dependence modelling," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 1-18.
    15. Charalampos Basdekis & Apostolos Christopoulos & Ioannis Katsampoxakis & Vasileios Nastas, 2022. "The Impact of the Ukrainian War on Stock and Energy Markets: A Wavelet Coherence Analysis," Energies, MDPI, vol. 15(21), pages 1-15, November.
    16. Stefano Giglio & Matteo Maggiori & Krishna Rao & Johannes Stroebel & Andreas Weber & Stijn Van Nieuwerburgh, 2021. "Climate Change and Long-Run Discount Rates: Evidence from Real Estate [Abrupt climate change]," The Review of Financial Studies, Society for Financial Studies, vol. 34(8), pages 3527-3571.
    17. Ivanovski, Kris & Hailemariam, Abebe, 2022. "Time-varying geopolitical risk and oil prices," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 206-221.
    18. Algieri, Bernardina & Leccadito, Arturo, 2017. "Assessing contagion risk from energy and non-energy commodity markets," Energy Economics, Elsevier, vol. 62(C), pages 312-322.
    19. Jin, Yi & Zhao, Hang & Bu, Lin & Zhang, Dayong, 2023. "Geopolitical risk, climate risk and energy markets: A dynamic spillover analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
    20. Liu, Pan & Vedenov, Dmitry & Power, Gabriel J., 2020. "Commodity financialization and sector ETFs: Evidence from crude oil futures," Research in International Business and Finance, Elsevier, vol. 51(C).
    21. Zhang, Jiaming & Guo, Songlin & Dou, Bin & Xie, Bingyuan, 2023. "Evidence of the internationalization of China's crude oil futures: Asymmetric linkages to global financial risks," Energy Economics, Elsevier, vol. 127(PA).
    22. Shuping Shi & Stan Hurn & Peter C B Phillips, 2020. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money–Income Relationship [Energy Consumption and Economic Growth in the United States]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 158-180.
    23. Shuping Shi & Peter C. B. Phillips & Stan Hurn, 2018. "Change Detection and the Causal Impact of the Yield Curve," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 966-987, November.
    24. Zhang, Hua & Chen, Jinyu & Shao, Liuguo, 2021. "Dynamic spillovers between energy and stock markets and their implications in the context of COVID-19," International Review of Financial Analysis, Elsevier, vol. 77(C).
    25. Yang, Chen & Lv, Fei & Fang, Libing & Shang, Xingxing, 2020. "The pricing efficiency of crude oil futures in the Shanghai International Exchange," Finance Research Letters, Elsevier, vol. 36(C).
    26. Ji, Qiang & Liu, Bing-Yue & Zhao, Wan-Li & Fan, Ying, 2020. "Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS," International Review of Financial Analysis, Elsevier, vol. 68(C).
    27. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    28. Kang, Wenjin & Tang, Ke & Wang, Ningli, 2023. "Financialization of commodity markets ten years later," Journal of Commodity Markets, Elsevier, vol. 30(C).
    29. Xiaohang Ren & Ya Xiao & Feng He & Giray Gozgor, 2024. "The contagion of extreme risks between fossil and green energy markets: evidence from China," Quantitative Finance, Taylor & Francis Journals, vol. 24(5), pages 627-642, May.
    30. repec:eee:finlet:v:24:y:2018:i:c:p:56-63 is not listed on IDEAS
    31. Ren, Xiaohang & Li, Jingyao & He, Feng & Lucey, Brian, 2023. "Impact of climate policy uncertainty on traditional energy and green markets: Evidence from time-varying granger tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    32. Yi Jin & Pengxiang Zhai & Zhaobo Zhu, 2022. "Oil Price Shocks and Bank Risk around the World," The Energy Journal, , vol. 43(1_suppl), pages 1-28, June.
    33. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    34. Ding, Shusheng & Cui, Tianxiang & Zheng, Dandan & Du, Min, 2021. "The effects of commodity financialization on commodity market volatility," Resources Policy, Elsevier, vol. 73(C).
    35. Ma, Yan-Ran & Zhang, Dayong & Ji, Qiang & Pan, Jiaofeng, 2019. "Spillovers between oil and stock returns in the US energy sector: Does idiosyncratic information matter?," Energy Economics, Elsevier, vol. 81(C), pages 536-544.
    36. Ren, Xiaohang & Fu, Chenjia & Jin, Chenglu & Li, Yuyi, 2024. "Dynamic causality between global supply chain pressures and China's resource industries: A time-varying Granger analysis," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    37. Darwin Choi & Zhenyu Gao & Wenxi Jiang, 2020. "Attention to Global Warming," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1112-1145.
    38. Santi, Caterina, 2023. "Investor climate sentiment and financial markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    39. Yi Jin, Pengxiang Zhai, and Zhaobo Zhu, 2022. "Oil Price Shocks and Bank Risk around the World," The Energy Journal, International Association for Energy Economics, vol. 0(Special i).
    40. Xu, Weiju & Ma, Feng & Chen, Wang & Zhang, Bing, 2019. "Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States," Energy Economics, Elsevier, vol. 80(C), pages 310-320.
    41. Yanhong Feng & Xiaolei Wang & Shuanglian Chen & Yanqiong Liu, 2022. "Impact of Oil Financialization on Oil Price Fluctuation: A Perspective of Heterogeneity," Energies, MDPI, vol. 15(12), pages 1-20, June.
    42. An, Jaehyung & Mikhaylov, Alexey & Chang, Tsangyao, 2024. "Relationship between the popularity of a platform and the price of NFT assets," Finance Research Letters, Elsevier, vol. 61(C).
    43. Dangl, Thomas & Halling, Michael, 2012. "Predictive regressions with time-varying coefficients," Journal of Financial Economics, Elsevier, vol. 106(1), pages 157-181.
    44. Razek, Noha H.A. & Michieka, Nyakundi M., 2019. "OPEC and non-OPEC production, global demand, and the financialization of oil," Research in International Business and Finance, Elsevier, vol. 50(C), pages 201-225.
    45. Arthur A. Benthem & Edmund Crooks & Stefano Giglio & Eugenie Schwob & Johannes Stroebel, 2022. "The effect of climate risks on the interactions between financial markets and energy companies," Nature Energy, Nature, vol. 7(8), pages 690-697, August.
    46. Wei, Yu & Zhang, Yaojie & Wang, Yudong, 2022. "Information connectedness of international crude oil futures: Evidence from SC, WTI, and Brent," International Review of Financial Analysis, Elsevier, vol. 81(C).
    47. Nagayev, Ruslan & Disli, Mustafa & Inghelbrecht, Koen & Ng, Adam, 2016. "On the dynamic links between commodities and Islamic equity," Energy Economics, Elsevier, vol. 58(C), pages 125-140.
    48. Ren, Boru & Lucey, Brian, 2023. "Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model," Energy Economics, Elsevier, vol. 119(C).
    49. Deng, Chao & Zhou, Xiaoying & Peng, Cheng & Zhu, Huiming, 2022. "Going green: Insight from asymmetric risk spillover between investor attention and pro-environmental investment," Finance Research Letters, Elsevier, vol. 47(PA).
    50. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    51. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
    52. Filippo Natoli, 2021. "Financialization Of Commodities Before And After The Great Financial Crisis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 488-511, April.
    53. Hoffmann, Arvid O.I. & Post, Thomas & Pennings, Joost M.E., 2013. "Individual investor perceptions and behavior during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 60-74.
    54. Jin, Yi & Liu, Sinuo & Sun, Yongping & Fang, Jie, 2024. "Energy transition and housing market bubbles: Evidence from prefecture cities in China," Energy Economics, Elsevier, vol. 133(C).
    55. Hong, Ying & Hu, Jiangting & Chen, Mengyu & Tang, Shoulian, 2023. "Motives and antecedents affecting green purchase intention: Implications for green economic recovery," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 523-538.
    56. Xiang Zhang & Lu Liu, 2020. "Heterogeneous Impacts of International Oil Price Shocks on the Stock Market – Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(12), pages 2749-2771, September.
    57. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    58. Xiang Zhang & Lu Liu, 2020. "Heterogeneous Impacts of International Oil Price Shocks on the Stock Market – Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(12), pages 2749-2771, September.
    59. Liu, Yawen & Cui, Qi & Liu, Yu & Zhang, Jinzhu & Zhou, Meifang & Ali, Tariq & Yang, Lingyu & Feng, Kuishuang & Hubacek, Klaus & Li, Xinbei, 2021. "Countermeasures against economic crisis from COVID-19 pandemic in China: An analysis of effectiveness and trade-offs," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 482-495.
    60. Ying Sun & Biao Luo & Shanyong Wang & Wenpei Fang, 2021. "What you see is meaningful: Does green advertising change the intentions of consumers to purchase eco‐labeled products?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 694-704, January.
    61. Sharma, Shahil & Rodriguez, Ivan, 2019. "The diminishing hedging role of crude oil: Evidence from time varying financialization," Journal of Multinational Financial Management, Elsevier, vol. 52.
    62. Dong, Xiyong & Yoon, Seong-Min, 2023. "Effect of weather and environmental attentions on financial system risks: Evidence from Chinese high- and low-carbon assets," Energy Economics, Elsevier, vol. 121(C).
    63. Lang, Qiaoqi & Ma, Feng & Mirza, Nawazish & Umar, Muhammad, 2023. "The interaction of climate risk and bank liquidity: An emerging market perspective for transitions to low carbon energy," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    64. Hu, Yang & Hou, Yang Greg & Oxley, Les, 2020. "What role do futures markets play in Bitcoin pricing? Causality, cointegration and price discovery from a time-varying perspective?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    65. Dayong Zhang, 2018. "Energy Finance: Background, Concept, and Recent Developments," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(8), pages 1687-1692, June.
    66. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    67. Smrithi Talwar, 2021. "Culturally mediated perceptions of climate change risks in New Zealand," Climatic Change, Springer, vol. 164(1), pages 1-10, January.
    68. Jaehyung An & Alexey Mikhaylov & Sang-Uk Jung, 2020. "The Strategy of South Korea in the Global Oil Market," Energies, MDPI, vol. 13(10), pages 1-8, May.
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    More about this item

    Keywords

    Climate risk perception; Oil financialization; Shanghai crude oil futures; Time-varying Granger model;
    All these keywords.

    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
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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