Information transmission between bitcoin derivatives and spot markets: high-frequency causality analysis with Fourier approximation

Efe Cagli and Pinar Evrim Mandaci

Economics and Business Letters, 2021, vol. 10, issue 4, 394-402

Abstract: This paper examines information transmission between Bitcoin derivatives and spot exchanges using 15-minutes interval data over May 2016 - September 2020. We employ a novel econometric framework with Fourier approximation, taking structural shifts in causal linkages, on the prices, returns, and volatilities of BitMEX, the derivatives market, and five other major spot exchanges, Coinbase, Bitstamp, Kraken, CEX.io, and Poloniex. Overall, the results provide robust evidence of information flow between the derivatives and spot exchanges, implying the markets react to new information simultaneously. The results are of importance for investors conducting portfolio allocation exercises and risk management strategies.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://reunido.uniovi.es/index.php/EBL/article/view/16436 (text/html)

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:ove:journl:aid:16436

Access Statistics for this article

Economics and Business Letters is currently edited by Francisco J. Delgado

More articles in Economics and Business Letters from Oviedo University Press Contact information at EDIRC.
Bibliographic data for series maintained by Francisco J. Delgado ().