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A novel method of detecting carbon asset price jump characteristics based on significant information shocks

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  • Pan, Di
  • Zhang, Chen
  • Zhu, Dandan
  • Ji, Yuanpu
  • Cao, Wei

Abstract

To identify the jump forms of carbon asset price under the shocks of significant information, this paper focuses on two aspects: different jump directions and jump time points. Therefore, a method for simultaneously optimizing time window size and threshold of the LM jump test is proposed. This optimized method has reduced the omission of jump points and improves the effectiveness of the model. Results show that the shocks of significant information cause large magnitude and asymmetric successive jumps of carbon asset price. A downward high-frequency jump indicates that the downward risk of carbon market is significant, and policy events have the biggest impact on the carbon market, which leads to the biggest jump magnitude. This research helps improve the efficiency of carbon pricing, provides practical guidance for decision process of enterprises, and prevents risk in a timely manner.

Suggested Citation

  • Pan, Di & Zhang, Chen & Zhu, Dandan & Ji, Yuanpu & Cao, Wei, 2022. "A novel method of detecting carbon asset price jump characteristics based on significant information shocks," Finance Research Letters, Elsevier, vol. 47(PA).
    • Handle: RePEc:eee:finlet:v:47:y:2022:i:pa:s1544612321005638
    DOI: 10.1016/j.frl.2021.102626
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    1. Ulyah, Siti Maghfirotul & Lin, Xenos Chang-Shuo & Miao, Daniel Wei-Chung, 2018. "Pricing short-dated foreign equity options with a bivariate jump-diffusion model with correlated fat-tailed jumps," Finance Research Letters, Elsevier, vol. 24(C), pages 113-128.
    2. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    3. Koch, Nicolas & Grosjean, Godefroy & Fuss, Sabine & Edenhofer, Ottmar, 2016. "Politics matters: Regulatory events as catalysts for price formation under cap-and-trade," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 121-139.
    4. Xinglin Yang, 2018. "Good jump, bad jump, and option valuation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(9), pages 1097-1125, September.
    5. Bangzhu Zhu & Julien Chevallier & Shujiao Ma & Yiming Wei, 2015. "Examining the structural changes of European carbon futures price 2005-2012," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 335-342, March.
    6. Flora, Maria & Vargiolu, Tiziano, 2020. "Price dynamics in the European Union Emissions Trading System and evaluation of its ability to boost emission-related investment decisions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 383-394.
    7. Suzanne S. Lee & Per A. Mykland, 2008. "Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2535-2563, November.
    8. Julien Chevallier & Benoît Sévi, 2014. "On the Stochastic Properties of Carbon Futures Prices," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 127-153, May.
    9. S. G. Kou, 2002. "A Jump-Diffusion Model for Option Pricing," Management Science, INFORMS, vol. 48(8), pages 1086-1101, August.
    10. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.
    11. Boyce, James K., 2018. "Carbon Pricing: Effectiveness and Equity," Ecological Economics, Elsevier, vol. 150(C), pages 52-61.
    12. Balietti, Anca Claudia, 2016. "Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I," Energy Policy, Elsevier, vol. 98(C), pages 607-620.
    13. Sun, Yunchuan & Wu, Mengyuan & Zeng, Xiaoping & Peng, Zihan, 2021. "The impact of COVID-19 on the Chinese stock market: Sentimental or substantial?," Finance Research Letters, Elsevier, vol. 38(C).
    14. 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.
    15. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
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    Cited by:

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    2. Song, Yuping & Huang, Jiefei & Zhang, Qichao & Xu, Yang, 2024. "Heterogeneity effect of positive and negative jumps on the realized volatility: Evidence from China," Economic Modelling, Elsevier, vol. 136(C).
    3. Zhu, Jing & Zhang, Chen & Zhao, Jingsong & Sun, Jiaojiao, 2024. "The impact of digital carbon communication on market response to carbon disclosure: The moderating effects of external supervision," Finance Research Letters, Elsevier, vol. 67(PB).

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