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...

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Main Authors: Matthias Schnaubelt, Jonas Rende, Christopher Krauss
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
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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
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AT christopherkrauss testingstylizedfactsofbitcoinlimitorderbooks
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