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Cross-correlations between the P2P interest rate, Shibor and treasury yields

Shuping Li, Xinsheng Lu and Jianfeng Li

Physica A: Statistical Mechanics and its Applications, 2021, vol. 574, issue C

Abstract: Using interest rate market data, this paper employs a multifractal cross-correlation analysis (MFCCA) to study the cross-correlations between market interest rate, treasury yields and policy interest rate. Cross-correlation statistics and coefficients verify the existence of cross-correlations, and the MFCCA method quantitatively confirms the presence of multifractality between the three time series for both the long and short term. Small fluctuations are persistent, while large fluctuations are generally anti-persistent in the long term. The results of the rolling window analysis reveal that cross-correlation scaling exponents are sensitive to external shocks.

Keywords: Market interest rate; Treasury bonds yields; Shibor; Cross-correlations; MFCCA (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:574:y:2021:i:c:s037843712100217x

DOI: 10.1016/j.physa.2021.125945

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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