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A Study on the Dynamic Correlation between the Korean ETS Market, Energy Market and Stock Market

한국 ETS시장, 에너지시장 및 주식시장 간의 동태적 상관관계에 관한 연구

  • 양국동 (동국대학교 국제통상학과) ;
  • 이은화 (동국대학교 국제통상학과)
  • Received : 2023.07.30
  • Accepted : 2023.08.20
  • Published : 2023.08.31

Abstract

This paper analyzed the dynamic conditional correlation between the Korean ETS market, energy market and stock market. This paper conducted an empirical analysis using daily data of Korea's carbon credit trading price, WTI crude oil futures price, and KOSPI index from February 2, 2015 to December 30, 2021. First, the volatility of the three markets was analyzed using the GARCH model, and then the dynamic conditional correlations between the three markets were studied using the bivariate DCC-GARCH model. The research results are as follows. First, it was found that the Korean ETS market has a higher rate of return and higher investment risk than the stock market. Second, the yield volatility of the Korean ETS market was found to be most affected by external shocks and least affected by the volatility information of the market itself. Third, the correlation between the Korean ETS market and the stock market was stronger than that of the WTI crude oil futures market. This paper analyzed the correlation between the Korean ETS market, energy market, and stock market and confirmed that the level of financialization in the Korean ETS market is quite low.

본 논문은 한국 ETS시장, 에너지시장 및 주식시장 간의 동태적 조건부 상관관계를 분석하였다. 본 논문은 2015년 2월 2일부터 2021년 12월 30일까지의 한국 탄소배출권 거래가격, WTI원유 선물가격, 코스피지수의 일별 자료를 이용하여 실증분석하였다. 우선, GARCH 모형을 사용하여 세 시장의 변동성에 대해 분석한 후, 이변량 DCC-GARCH 모형을 사용하여 세 시장 간의 동태적 조건부 상관관계를 연구하였다. 연구결과는 다음과 같다. 첫째, 한국의 ETS시장이 주식시장보다 투자 수익률과 투자 위험도가 높은 것으로 나타났다. 둘째, 한국 ETS시장의 수익률 변동성이 외부 충격의 영향을 가장 많이 받고, 시장 자체의 변동성 정보로부터 받는 영향이 가장 작은 것으로 나타났다. 셋째, 한국 ETS시장이 WTI원유 선물시장보다 주식시장과의 상관관계의 지속성이 더 강한 것으로 나타났다. 본 논문은 한국 ETS시장, 에너지시장 및 주식시장 간의 상관관계를 분석하여 한국 ETS시장의 금융화 수준이 상당히 낮은 것을 확인하였다.

Keywords

References

  1. 김기진.원두환.정수관(2019), "국제 탄소배출권 가격의 동조화 현상에 관한 분석", 「환경정책」, 제27권 제3호, pp.1-20.
  2. 나단단.이은화(2022), "국제 탄소배출권 가격의 동태적 조건부 상관관계 분석", 「무역학회지」, 제47권 제1호, pp.99-114. https://doi.org/10.22659/KTRA.2022.47.1.99
  3. 신동훈(2022), 「탄소시장과 탄소배출권」, 서울: 에듀컨텐츠휴피아.
  4. 최기홍.윤성민(2023), "한국 탄소배출권 시장의 효율성 분석: 유럽 탄소배출권 시장과의 비교", 「한국자료분석학회지」, 제25권 1호, pp.235-247.
  5. Adekoya, O. B.(2021), "Predicting Ccarbon Allowance Prices with Energy Prices: A New Approach", Journal of Cleaner Production, Vol.282, pp.1-12. https://doi.org/10.1016/j.jclepro.2020.124519
  6. Barunik, J., Kocenda, E. and Vacha L.(2016), "Gold, Oil, and Stocks: Dynamic Correlations", International Review of Economics & Finance, Vol.42, pp.186-201. https://doi.org/10.1016/j.iref.2015.08.006
  7. Bollerslev, T.(1986), "Generalized Autoregressive Conditional Heteroskedasticity", Journal of Econometrics, Vol.31 No.3, pp.307-327. https://doi.org/10.1016/0304-4076(86)90063-1
  8. Bollerslev, T.(1990), "Modelling the Coherence in Short-Run Nominal Exchange Rates: a Multivariate Generalized ARCH Model", The Review of Economics and Statistics, Vol.72 No.3, pp.498-505. https://doi.org/10.2307/2109358
  9. Dai, Zhi-Feng and Zhu Hao-Yang(2022), "Time-Varying Spillover Effects and Investment Strategies between WTI Crude oil, Natural Gas and Chinese Stock Markets Related to Belt and Road Initiative", Energy Economics, Vol.108, pp.1-12. https://doi.org/10.1016/j.eneco.2022.105883
  10. Engle, R.(2002), "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models", Journal of Business & Economic Statistics, Vol.20 No.3, pp.339-350. https://doi.org/10.1198/073500102288618487
  11. Hintermann, B.(2010), "Allowance Price Drivers in the First Phase of the EU ETS", Journal of Environmental Economics and Management, Vol.59, pp.43-56. https://doi.org/10.1016/j.jeem.2009.07.002
  12. Kim, H. S. and Koo, W. W.(2010), "Factors Affecting the Carbon Allowance Market in the US", Energy Policy, Vol.38 No.4, pp.1879-1884. https://doi.org/10.1016/j.enpol.2009.11.066
  13. Koch, N., Fuss, S., Grosjean, G. and Edenhofer, O.(2014), "Causes of the EU ETS Price Drop: Recession, CDM, Renewable Policies or a Bit of Everything?-New Evidence", Energy Policy, Vol.73, pp.676-685. https://doi.org/10.1016/j.enpol.2014.06.024
  14. Korea Emissions Trading Scheme, (2022), Retrieved March 15, 2023, from https://icapcarbonaction.com/system/files/ets_pdfs/icap-etsmap-factsheet-47.pdf
  15. Krokida, S. I., Lambertides, N., Savva, C. S. and Tsouknidis, D. A.(2020), "The Effects of Oil Price Shocks on the Prices of EU Emission Trading System and European Stock Returns", The European Journal of Finance, Vol.26 No.1, pp.1-13. https://doi.org/10.1080/1351847X.2019.1637358
  16. Li, Yi(2020), "An Empirical Study on the External Influencing Factors of Carbon Emission Trading Pricing", Price: Theor, Vol.6, pp.146-149.
  17. Lin, Bo-Qiang and Jia Zhi-Jie(2019), "What are the Main Factors Affecting Carbon Price in Emission Trading Scheme? A Case Study in China", Science of The Total Environment, Vol.654, pp.525-534. https://doi.org/10.1016/j.scitotenv.2018.11.106
  18. Ma, Ying, Wang, Li-Hua and Zhang Tao(2020), "Research on the Dynamic Linkage among the Carbon Emission Trading, Energy and Capital Markets", Journal of Cleaner Production, Vol.272, pp.1-10. https://doi.org/10.1016/j.jclepro.2020.122717
  19. Narayan, P. K. and Sharma S. S.(2015), "Is Carbon Emissions Trading Profitable?", Economic Modelling, Vol.47, pp.84-92. https://doi.org/10.1016/j.econmod.2015.01.001
  20. Neagu, O. and Teodoru, M. C.(2019), "The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries", Sustainability, Vol.11 No.2, pp.497.
  21. Nie, Dan, Li, Yan-Bin and Li Xi-Yu(2021), "Dynamic Spillovers and Asymmetric Spillover Effect between the Carbon Emission Trading Market, Fossil Energy Market, and New Energy Stock Market in China", Energies, Vol.14 No.19, pp.1-22. https://doi.org/10.3390/en14196438
  22. Oestreich, A. M. and Tsiakas, I.(2015), "Carbon Emissions and Stock Returns: Evidence from the EU Emissions Trading Scheme", Journal of Banking & Finance, Vol.58, pp.294-308. https://doi.org/10.1016/j.jbankfin.2015.05.005
  23. Ortas, E. and Alvarez, I.(2016), "The Efficacy of the European Union Emissions Trading Scheme: Depicting the Co-Movement of Carbon Assets and Energy Commodities Through Wavelet Decomposition", Journal of Cleaner Production, Vol.116, pp.40-49. https://doi.org/10.1016/j.jclepro.2015.12.112
  24. Wang Xu, Qiao Qing-Wei and Chen Xiao(2021), "Dynamic Relationship between Carbon Emission Trading Market and New Energy Market: A Case Study of China's Carbon Market Pilot", Journal of China University of Mining and Technology, pp.89-106.
  25. Wei, Yi-Gang, Li Yan and Wang Zhi-Cheng(2022), "Multiple Price Bubbles in Global Major Emission Trading Shemes: Evidence from European Union, New Zealand, South Korea and China", Energy Economics, Vol.113, pp.1-11.
  26. Wen, Feng-Hua, Zhao, Li-Li, He Shao-Yi and Yang Guo-Zheng(2020), "Asymmetric Relationship between Carbon Emission Trading Market and Stock Market: Evidences from China," Energy Economics, Vol.91, pp.1-13. https://doi.org/10.1016/j.eneco.2020.104850
  27. Xu Jia, Tan Xiu-Jie, He Gang and Liu Yu(2019), "Disentangling the Drivers of Carbon Prices in China's ETS Pilots-An EEMD approach", Technological Forecasting and Social Change, Vol.139, pp.1-9.
  28. Yuan, Nan-Nan and Lu Yang(2020), "Asymmetric Risk Spillover between Financial Market Uncertainty and the Carbon Market: A GAS-DCS-Copula approach", Journal of Cleaner Production, Vol.259, pp.1-12. https://doi.org/10.1016/j.jclepro.2020.120750
  29. Zhao, Li-Li, Liu Wen-Hua, Zhou Min and Wen Feng-Hua(2022), "Extreme Eevent Shocks and Dynamic Volatility Interactions: The Stock, Commodity, and Carbon Markets in China", Finance Research Letters, Vol.47, pp.1-6.
  30. Zhu, Bang-Zhu, Ye Shun-Xin, Han Dong, Wang Ping, He Kai-Jian, Wei Yi-Ming and Rui Xie(2019), "A Multiscale Analysis for Carbon Price Drivers", Energy Economics, Vol.78, pp.202-216. https://doi.org/10.1016/j.eneco.2018.11.007