Testing Stylized Facts of Bitcoin Limit Order Books
The majority of electronic markets worldwide employ limit order books, and the recently emerging exchanges for cryptocurrencies pose no exception. With this work, we empirically analyze whether commonly observed empirical properties from established limit order exchanges transfer to the cryptocurren...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-02-01
|
Series: | Journal of Risk and Financial Management |
Subjects: | |
Online Access: | https://www.mdpi.com/1911-8074/12/1/25 |
id |
doaj-4154e31978c448bf8ed009f5b539f748 |
---|---|
record_format |
Article |
spelling |
doaj-4154e31978c448bf8ed009f5b539f7482020-11-25T01:29:15ZengMDPI AGJournal of Risk and Financial Management1911-80742019-02-011212510.3390/jrfm12010025jrfm12010025Testing Stylized Facts of Bitcoin Limit Order BooksMatthias Schnaubelt0Jonas Rende1Christopher Krauss2Department of Statistics and Econometrics, University of Erlangen-Nürnberg, Lange Gasse 20, 90403 Nürnberg, GermanyDepartment of Statistics and Econometrics, University of Erlangen-Nürnberg, Lange Gasse 20, 90403 Nürnberg, GermanyDepartment of Statistics and Econometrics, University of Erlangen-Nürnberg, Lange Gasse 20, 90403 Nürnberg, GermanyThe majority of electronic markets worldwide employ limit order books, and the recently emerging exchanges for cryptocurrencies pose no exception. With this work, we empirically analyze whether commonly observed empirical properties from established limit order exchanges transfer to the cryptocurrency domain. Based on the literature, we establish a structured methodological framework to conduct analyses in a systematic and comprehensive way. We then present results from a unique and extensive limit order data set acquired from major cryptocurrency exchanges for the currency pair Bitcoin to US Dollar. We recover many observations from mature markets, such as a symmetry between the average ask and the average bid side of the order book, autocorrelation in returns on the smallest time scales only, volatility clustering and the timing of large trades. We also observe some idiosyncrasies: The distributions of trade size and limit order prices deviate from commonly observed patterns. Also, we find limit order books to be relatively shallow and liquidity costs to be relatively high when compared to established markets.https://www.mdpi.com/1911-8074/12/1/25limit order bookcryptocurrencystylized facthigh-frequency financeliquidity coststransaction costs |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Matthias Schnaubelt Jonas Rende Christopher Krauss |
spellingShingle |
Matthias Schnaubelt Jonas Rende Christopher Krauss Testing Stylized Facts of Bitcoin Limit Order Books Journal of Risk and Financial Management limit order book cryptocurrency stylized fact high-frequency finance liquidity costs transaction costs |
author_facet |
Matthias Schnaubelt Jonas Rende Christopher Krauss |
author_sort |
Matthias Schnaubelt |
title |
Testing Stylized Facts of Bitcoin Limit Order Books |
title_short |
Testing Stylized Facts of Bitcoin Limit Order Books |
title_full |
Testing Stylized Facts of Bitcoin Limit Order Books |
title_fullStr |
Testing Stylized Facts of Bitcoin Limit Order Books |
title_full_unstemmed |
Testing Stylized Facts of Bitcoin Limit Order Books |
title_sort |
testing stylized facts of bitcoin limit order books |
publisher |
MDPI AG |
series |
Journal of Risk and Financial Management |
issn |
1911-8074 |
publishDate |
2019-02-01 |
description |
The majority of electronic markets worldwide employ limit order books, and the recently emerging exchanges for cryptocurrencies pose no exception. With this work, we empirically analyze whether commonly observed empirical properties from established limit order exchanges transfer to the cryptocurrency domain. Based on the literature, we establish a structured methodological framework to conduct analyses in a systematic and comprehensive way. We then present results from a unique and extensive limit order data set acquired from major cryptocurrency exchanges for the currency pair Bitcoin to US Dollar. We recover many observations from mature markets, such as a symmetry between the average ask and the average bid side of the order book, autocorrelation in returns on the smallest time scales only, volatility clustering and the timing of large trades. We also observe some idiosyncrasies: The distributions of trade size and limit order prices deviate from commonly observed patterns. Also, we find limit order books to be relatively shallow and liquidity costs to be relatively high when compared to established markets. |
topic |
limit order book cryptocurrency stylized fact high-frequency finance liquidity costs transaction costs |
url |
https://www.mdpi.com/1911-8074/12/1/25 |
work_keys_str_mv |
AT matthiasschnaubelt testingstylizedfactsofbitcoinlimitorderbooks AT jonasrende testingstylizedfactsofbitcoinlimitorderbooks AT christopherkrauss testingstylizedfactsofbitcoinlimitorderbooks |
_version_ |
1725097560350130176 |