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Cross-correlation analysis between Chinese TF contracts and treasury ETF based on high-frequency data

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  • Zhou, Yu
  • Chen, Shi

Abstract

In this paper, we investigate the high-frequency cross-correlation relationship between Chinese treasury futures contracts and treasury ETF. We analyze the logarithmic return of these two price series, from which we can conclude that both return series are not normally distributed and the futures markets have greater volatility. We find significant cross-correlation between these two series. We further confirm the relationship using the DCCA coefficient and the DMCA coefficient. We quantify the long-range cross-correlation with DCCA method, and we further show that the relationship is multifractal. An arbitrage algorithm based on DFA regression with stable return is proposed in the last part.

Suggested Citation

  • Zhou, Yu & Chen, Shi, 2016. "Cross-correlation analysis between Chinese TF contracts and treasury ETF based on high-frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 117-127.
    • Handle: RePEc:eee:phsmap:v:443:y:2016:i:c:p:117-127
    DOI: 10.1016/j.physa.2015.09.078
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    Cited by:

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    3. Barreto, Ikaro Daniel de Carvalho & Dore, Luiz Henrique & Stosic, Tatijana & Stosic, Borko D., 2021. "Extending DFA-based multiple linear regression inference: Application to acoustic impedance models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    4. Ruan, Qingsong & Zhou, Mi & Yin, Linsen & Lv, Dayong, 2021. "Hedging effectiveness of Chinese Treasury bond futures: New evidence based on nonlinear analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    5. Wang, Feng & Ye, Xin & Chen, HongTao & Wu, Congxin, 2021. "A portfolio strategy of stock market based on mean-MF-X-DMA model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).

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