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The Dynamic Time-frequency Relationship between International Oil Prices and Investor Sentiment in China: A Wavelet Coherence Analysis

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  • Zhengke Ye, Chunyan Hu, Linjie He, Guangda Ouyang, and Fenghua Wen

Abstract

We take a fresh look at the interaction between crude oil prices and investor sentiment from the novel perspective of both the time and the frequency domains. By using principal component analysis, we first construct an investor sentiment indicator. Then, crude oil prices are decomposed into three oil price shocks through an SVAR model. Lastly, the dynamic relationship between investor sentiment and oil price shocks is comprehensively studied from both the time and the frequency domains via wavelet coherence analysis. Our results show the leading position of crude oil prices in the co-movement relationship with investor sentiment. Further, we distinguish the different effects of oil price shocks on investor sentiment at different times and frequencies. We also find that the patterns of the co-movement between oil prices (oil price shocks) and investor sentiment change not only with time but also with frequency.

Suggested Citation

  • Zhengke Ye, Chunyan Hu, Linjie He, Guangda Ouyang, and Fenghua Wen, 2020. "The Dynamic Time-frequency Relationship between International Oil Prices and Investor Sentiment in China: A Wavelet Coherence Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5), pages 251-270.
    • Handle: RePEc:aen:journl:ej41-5-wen
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    Cited by:

    1. Jain, Prachi & Maitra, Debasish & Kang, Sang Hoon, 2023. "Oil price and the automobile industry: Dynamic connectedness and portfolio implications with downside risk," Energy Economics, Elsevier, vol. 119(C).
    2. Peng Li & Yaofu Ouyang, 2023. "Oil price shocks and China’s consumer and entrepreneur sentiment: a Bayesian structural VAR approach," Empirical Economics, Springer, vol. 65(5), pages 2241-2271, November.
    3. Nan, Yu & Sun, Renjin & Zhen, Zhao & Fangjing, Chu, 2022. "Measurement of international crude oil price cyclical fluctuations and correlation with the world economic cyclical changes," Energy, Elsevier, vol. 260(C).
    4. Chuangxia Huang & Xian Zhao & Renli Su & Xiaoguang Yang & Xin Yang, 2022. "Dynamic network topology and market performance: A case of the Chinese stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1962-1978, April.
    5. Wen, Fenghua & Cao, Jiahui & Liu, Zhen & Wang, Xiong, 2021. "Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets," International Review of Financial Analysis, Elsevier, vol. 76(C).
    6. Xu Gong & Keqin Guan & Qiyang Chen, 2022. "The role of textual analysis in oil futures price forecasting based on machine learning approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1987-2017, October.
    7. Tian, Meiyu & Li, Wanyang & Wen, Fenghua, 2021. "The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    8. Wang, Lu & Ma, Feng & Niu, Tianjiao & Liang, Chao, 2021. "The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market," Energy Economics, Elsevier, vol. 99(C).
    9. Oguzhan Cepni, Duc Khuong Nguyen, and Ahmet Sensoy, 2022. "News Media and Attention Spillover across Energy Markets: A Powerful Predictor of Crude Oil Futures Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    10. Gong, Xu & Guan, Keqin & Chen, Liqing & Liu, Tangyong & Fu, Chengbo, 2021. "What drives oil prices? — A Markov switching VAR approach," Resources Policy, Elsevier, vol. 74(C).
    11. Li, Sufang & Xu, Qiufan & Lv, Yixue & Yuan, Di, 2022. "Public attention, oil and gold markets during the COVID-19: Evidence from time-frequency analysis," Resources Policy, Elsevier, vol. 78(C).
    12. Zheng, Yan & Zhou, Min & Wen, Fenghua, 2021. "Asymmetric effects of oil shocks on carbon allowance price: Evidence from China," Energy Economics, Elsevier, vol. 97(C).

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    JEL classification:

    • F0 - International Economics - - General

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