Cross-correlations between Baltic Dry Index and crude oil prices

被引:65
|
作者
Ruan, Qingsong [1 ]
Wang, Yao [1 ]
Lu, Xinsheng [2 ]
Qin, Jing [1 ]
机构
[1] Tongji Univ, SEM, Dept Econ & Finance, Shanghai 200093, Peoples R China
[2] Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China
基金
中国国家自然科学基金;
关键词
Baltic Dry Index; Crude oil prices; Cross-correlations; MF-DCCA; Rolling windows; DETRENDED FLUCTUATION ANALYSIS; LONG-RANGE DEPENDENCE; NONSTATIONARY TIME-SERIES; FUTURES MARKETS; EXCHANGE-RATE; EMERGING MARKETS; STOCK-MARKET; US; EXPONENT; TRENDS;
D O I
10.1016/j.physa.2016.02.018
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This paper examines the cross-correlation properties of Baltic Dry Index (BDI) and crude oil prices using cross-correlation statistics test and multifractal detrended cross-correlation analysis (MF-DCCA). The empirical results show that the cross-correlations between BDI and crude oil prices are significantly multifractal. By introducing the concept of a "crossover", we find that the cross-correlations are strongly persistent in the short term and weakly anti-persistent in the long term. Moreover, cross-correlations of all kinds of fluctuations are persistent in the short time while cross-correlations of small fluctuations are persistent and those of large fluctuations are anti-persistent in the long term. We have also verified that the multifractality of the cross-correlations of BDI and crude oil prices is both attributable to the persistence of fluctuations of time series and fat-tailed distributions. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:278 / 289
页数:12
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