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논문검색

Forecasting carbon futures volatility : The predictive power of GARCH models with energy volatilities

초록

영어

This article examines the volatility forecasting abilities of two approaches: one is GARCH-type model that uses carbon futures prices, and the other is an implied volatility from carbon options prices. Based on the results, we document that GARCH-type models perform better than an implied volatility. This result suggests that carbon options have little information about carbon futures due to their low trading volume. We also investigate whether the volatilities of energy markets, i.e., Brent oil, coal, natural gas, and electricity, forecast following day’s carbon futures volatility. According to the results, we suggest that Brent oil and natural gas may be used to forecast the volatility of carbon futures.

목차

Abstract
 1. Introduction
 2. Methodology and literature review
 3. Data
 4. Results from the GARCH-type models estimation
 5. Results from the model comparison
 6. Results from GARCH-type model with energy volatilities
 7. Conclusion
 References
 Table

저자정보

  • Suk Joon Byun KAIST Business School, 85 Hoegiro, Dongdaemoon-gu, Seoul, 130-722 Korea
  • Hangjun Cho KAIST Business School, 85 Hoegiro, Dongdaemoon-gu, Seoul, 130-722 Korea

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