Oil price and exchange rates: A wavelet based analysis for India

被引:132
作者
Tiwari, Aviral Kumar [1 ]
Dar, Arif Billah [2 ]
Bhanja, Niyati [2 ]
机构
[1] ICFAI Univ Tripura, Agartala, India
[2] Pondicherry Univ, Pondicherry, India
关键词
Oil price; Exchange rate; Non-linear causality; India; Wavelets; TIME-SERIES; CAUSALITY; NONLINEARITY; MACROECONOMY; MODELS; CHINA;
D O I
10.1016/j.econmod.2012.11.043
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper, we explore linear and nonlinear Granger causalities between oil price and the real effective exchange rate of the Indian currency, known as 'rupee'. First, we apply the standard time domain approach, but fail to find any causal relationship. So, we decompose the two series at various scales of resolution using the wavelet methodology in an effort to revisit the relationships among the decompose series on a scale by scale basis. We also use a battery of non-linear causality tests in the time and the frequency domain. We uncover linear and nonlinear causal relationships between the oil price and the real effective exchange rate of Indian rupee at higher time scales (lower frequency). Although we do not find causal relationship at the lower time scales, there is evidence of causality at higher time scales only. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:414 / 422
页数:9
相关论文
共 41 条