bibtype J - Journal Article
ARLID 0583789
utime 20240402215316.0
mtime 20240307235959.9
SCOPUS 85139340985
WOS 000899867100023
DOI 10.1016/j.frl.2022.103332
title (primary) (eng) Exploring sources of statistical arbitrage opportunities among Bitcoin exchanges
specification
page_count 8 s.
media_type P
serial
ARLID cav_un_epca*0361997
ISSN 1544-6123
title Finance Research Letters
volume_id 51
publisher
name Elsevier
keyword Cryptocurrencies
keyword Cryptoassets
keyword Bitcoin
keyword Arbitrage
keyword Exchanges
author (primary)
ARLID cav_un_auth*0256902
name1 Krištoufek
name2 Ladislav
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
full_dept Department of Econometrics
country CZ
share 50
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0377616
name1 Bouri
name2 E.
country LB
source
url http://library.utia.cas.cz/separaty/2024/E/kristoufek-0583789.pdf
source
url https://www.sciencedirect.com/science/article/pii/S1544612322005116?via%3Dihub
cas_special
project
project_id GA20-17295S
agency GA ČR
ARLID cav_un_auth*0397556
abstract (eng) We investigate potential sources of emerging statistical arbitrage opportunities in the Bitcoin market across five exchanges – Binance, Bitfinex, Bitstamp, Coinbase, and Kraken – via the instrumental variables approach to control for apparent endogeneity. We show that arbitrage opportunities arise when the network is congested and Bitcoin prices are volatile. Increased exchanges volume and on-chain activity increase the correlation between exchanges and thus reduce the arbitrage opportunities. These outcomes are intuitive and economically valid which supports the notion that Bitcoin market is highly volatile and risky but its behavior follows standard economic and financial intuition.
result_subspec WOS
RIV AH
FORD0 50000
FORD1 50200
FORD2 50206
reportyear 2024
num_of_auth 2
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0352123
confidential S
article_num 103332
mrcbC91 C
mrcbT16-e BUSINESSFINANCE
mrcbT16-j 1.201
mrcbT16-D Q2
arlyear 2023
mrcbU14 85139340985 SCOPUS
mrcbU24 PUBMED
mrcbU34 000899867100023 WOS
mrcbU63 cav_un_epca*0361997 Finance Research Letters 1544-6123 1544-6131 Roč. 51 č. 1 2023 Elsevier PRINT