Causal relationship between spot and futures prices with multiple time horizons: A nonparametric wavelet Granger causality test
Erdost Torun,
Tzu-Pu Chang and
Ray Chou
Research in International Business and Finance, 2020, vol. 52, issue C
Abstract:
This study investigates the causal information flow between 45 major daily spot returns and their corresponding futures in developing, emerging, and commodity indices through a novel nonparametric wavelet Granger causality test (NWGC) that is capable of detecting causality patterns in various time scales without any stationarity assumption or multivariate autoregressive modeling requirement. We provide new evidence for a complex causality pattern phenomenon. First, there may not be just one dichotomous answer about the Granger causality test for each market data in a time domain, as markets exhibit different causal information flows for different time scales. Second, each market may show distinct causality patterns compared to other markets.
Keywords: Granger causality; Futures market; Wavelet; Time-frequency analysis (search for similar items in EconPapers)
JEL-codes: C14 G10 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0275531919300455
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:52:y:2020:i:c:s0275531919300455
DOI: 10.1016/j.ribaf.2019.101115
Access Statistics for this article
Research in International Business and Finance is currently edited by T. Lagoarde Segot
More articles in Research in International Business and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().