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.
| Original language | English |
|---|---|
| Pages (from-to) | 117-127 |
| Number of pages | 11 |
| Journal | Physica A: Statistical Mechanics and its Applications |
| Volume | 443 |
| DOIs | |
| State | Published - 1 Feb 2016 |
Keywords
- Arbitrage strategy
- Chinese treasury futures contracts
- DFA regression
- High-frequency data
- Multifractal detrended cross-correlation analysis