Fragmentation and Price Discovery in Bitcoin Markets

Jaroslaw Majtyka; Simone Kelly; Keith Duncan

Fragmentation and Price Discovery in Bitcoin Markets

Jaroslaw Majtyka, Simone Kelly, Keith Duncan

Research output: Contribution to conference › Paper › Research › peer-review

Abstract

This study uses existing research on competitive fragmentation and price discovery to test its applicability to cryptocurrency markets. Bitcoin (BTC) transaction and order book data is collected across six exchanges for both United States Dollar (USD - $) and Euro (€) order books (2017-2019). A panel-regression model on a multivariate version of Hasbrouck’s (1995) information share is employed. Results confirm that market share has a positive relationship with the informativeness of exchange prices (Madhavan, 1995). This is attributed to informed investors migrating to competing exchanges to better conceal and profit on their superior information. This, in turn, increases events of information asymmetry as exchange prices become more informative and dispersed across an increasing number of exchanges.

Original language	English
Publication status	Published - Jul 2020
Event	AFAANZ 2020 Conference - Online Duration: 5 Jul 2020 → 7 Jul 2020 http://www.afaanzconference.com/

Conference

Conference	AFAANZ 2020 Conference
Period	5/07/20 → 7/07/20
Internet address	http://www.afaanzconference.com/

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Cite this

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abstract = "This study uses existing research on competitive fragmentation and price discovery to test its applicability to cryptocurrency markets. Bitcoin (BTC) transaction and order book data is collected across six exchanges for both United States Dollar (USD - $) and Euro (€) order books (2017-2019). A panel-regression model on a multivariate version of Hasbrouck{\textquoteright}s (1995) information share is employed. Results confirm that market share has a positive relationship with the informativeness of exchange prices (Madhavan, 1995). This is attributed to informed investors migrating to competing exchanges to better conceal and profit on their superior information. This, in turn, increases events of information asymmetry as exchange prices become more informative and dispersed across an increasing number of exchanges.",

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AU - Kelly, Simone

AU - Duncan, Keith

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Y1 - 2020/7

N2 - This study uses existing research on competitive fragmentation and price discovery to test its applicability to cryptocurrency markets. Bitcoin (BTC) transaction and order book data is collected across six exchanges for both United States Dollar (USD - $) and Euro (€) order books (2017-2019). A panel-regression model on a multivariate version of Hasbrouck’s (1995) information share is employed. Results confirm that market share has a positive relationship with the informativeness of exchange prices (Madhavan, 1995). This is attributed to informed investors migrating to competing exchanges to better conceal and profit on their superior information. This, in turn, increases events of information asymmetry as exchange prices become more informative and dispersed across an increasing number of exchanges.

AB - This study uses existing research on competitive fragmentation and price discovery to test its applicability to cryptocurrency markets. Bitcoin (BTC) transaction and order book data is collected across six exchanges for both United States Dollar (USD - $) and Euro (€) order books (2017-2019). A panel-regression model on a multivariate version of Hasbrouck’s (1995) information share is employed. Results confirm that market share has a positive relationship with the informativeness of exchange prices (Madhavan, 1995). This is attributed to informed investors migrating to competing exchanges to better conceal and profit on their superior information. This, in turn, increases events of information asymmetry as exchange prices become more informative and dispersed across an increasing number of exchanges.

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M3 - Paper

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Fragmentation and Price Discovery in Bitcoin Markets

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