English

Long-range Correlation and Market Segmentation in Bond Market

Statistical Finance 2017-06-07 v1

Abstract

This paper looks into the analysis of the long-range auto-correlations and cross-correlations in bond market. Based on Detrended Moving Average (DMA) method, empirical results present a clear evidence of long-range persistence that exists in one year scale. The degree of long-range correlation related to maturities has an upward tendency with a peak in short term. These findings confirm the expectations of fractal market hypothesis (FMH). Furthermore, we have developed a method based on a complex network to study the long-range cross-correlation structure and apply it to our data, and found a clear pattern of market segmentation in the long run. We also detected the nature of long-range correlation in the sub-period 2007 to 2012 and 2011 to 2016. The result from our research shows that long-range auto-correlations are decreasing in the recent years while long-range cross-correlations are strengthening.

Keywords

Cite

@article{arxiv.1610.09812,
  title  = {Long-range Correlation and Market Segmentation in Bond Market},
  author = {Zhongxing Wang and Yan Yan and Xiaosong Chen},
  journal= {arXiv preprint arXiv:1610.09812},
  year   = {2017}
}

Comments

19 pages, 7 figures

R2 v1 2026-06-22T16:37:11.626Z