Spillovers and Directional Predictability with a Cross-Quantilogram Analysis: The Case of US and Chinese Agricultural Futures

被引:56
作者
Jiang, Huayun [1 ]
Su, Jen-Je [2 ]
Todorova, Neda [3 ]
Roca, Eduardo [3 ]
机构
[1] Griffith Univ, Griffith Business Sch, 170 Kessels Rd, Nathan, Qld 4111, Australia
[2] Griffith Univ, Griffith Business Sch, Econ, Nathan, Qld, Australia
[3] Griffith Univ, Griffith Business Sch, Finance, Nathan, Qld, Australia
关键词
COMMODITY FUTURES; PRICE DISCOVERY; INFORMATION-TRANSMISSION; STOCK MARKETS; RETURNS; EXTREMOGRAM; DEPENDENCE; SHOCKS;
D O I
10.1002/fut.21779
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper examines the daily, overnight, intraday, and rolling return spillovers of four key agricultural commodities-soybeans, wheat, corn, and sugar, between the U.S. and Chinese futures markets via a newly developed quantile dependence measure called quantilogram. The results reveal significant bi-directional dependence between the two markets across commodities which is greater in extreme quantiles and moderately stronger from the United States to China. These findings offer valuable insights into investors' behavior, market integration, dissimilarity, and market efficiency in both countries. (C) 2016 Wiley Periodicals, Inc.
引用
收藏
页码:1231 / 1255
页数:25
相关论文
共 35 条
[1]  
Acworth W., 2013, FIA VOLUME REPORT GL
[2]   Long memory models for daily and high freouency commodity futures returns [J].
Baillie, Richard T. ;
Han, Young-Wook ;
Myers, Robert J. ;
Song, Jeongseok .
JOURNAL OF FUTURES MARKETS, 2007, 27 (07) :643-668
[3]   A comparison of trading and non-trading mechanisms for price discovery [J].
Barclay, Michael J. ;
Hendershott, Terrence .
JOURNAL OF EMPIRICAL FINANCE, 2008, 15 (05) :839-849
[4]  
Bollerslev T., 2014, WORKING PAPER
[5]   Jump tails, extreme dependencies, and the distribution of stock returns [J].
Bollerslev, Tim ;
Todorov, Viktor ;
Li, Sophia Zhengzi .
JOURNAL OF ECONOMETRICS, 2013, 172 (02) :307-324
[6]  
Christofoletti M. A., 2012, NCCC 134 C APPL COMM
[7]   Measures of serial extremal dependence and their estimation [J].
Davis, Richard A. ;
Mikosch, Thomas ;
Zhao, Yuwei .
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2013, 123 (07) :2575-2602
[8]   Towards estimating extremal serial dependence via the bootstrapped extremogram [J].
Davis, Richard A. ;
Mikosch, Thomas ;
Cribben, Ivor .
JOURNAL OF ECONOMETRICS, 2012, 170 (01) :142-152
[9]   The extremogram: A correlogram for extreme events [J].
Davis, Richard A. ;
Mikosch, Thomas .
BERNOULLI, 2009, 15 (04) :977-1009
[10]  
Fung H., 2003, REV QUANT FINANC ACC, V21, P267, DOI DOI 10.1023/A:1027384330827