Causality in variance and the type of traders in crude oil futures

被引:26
作者
Bhar, R [1 ]
Hamori, S
机构
[1] Univ New S Wales, Sch Banking & Finance, Sydney, NSW 2052, Australia
[2] Kobe Univ, Grad Sch Econ, Nada Ku, Kobe, Hyogo 6578501, Japan
基金
日本学术振兴会;
关键词
return-volume dynamics; causality; GARCH model; cross-correlation;
D O I
10.1016/j.eneco.2004.12.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article examines the causal relationship and, in particular, informational dependence between crude oil futures return and the trading volume using daily data over a ten-year period using a recent econometric methodology. The two-step procedure developed by Cheung and Ng (1996) [Cheung, Y.W., Ng, L.K., 1996. A causality-in-variance test and its applications to financial market prices, Journal of Econometrics 72, 33-48.] is robust to distributional assumption and does not depend on simultaneous modeling of the two variables. We find only causality at higher order lags running from return to volume in the mean as well as in conditional variance. Our result is not in complete agreement with several earlier studies in this area. However, the result does indicate mild support for noise traders' hypothesis in the crude oil futures market. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:527 / 539
页数:13
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