Market structure and microstructure, in international interest rate futures markets
Market structure and microstructure, in international interest rate futures markets
We examine the role of market structure in identifying microstructure features of the NYSE.Euronext LIFFE STIR futures market by comparing the ability of two bid-ask spread component models to explain bid-ask spreads. These two models differ only in their assumptions about whether or not market makers are present. The period we analyze includes data from pit based trading alongside electronic market data. We explore how market structure affects the way private information influences bid-ask spreads and return volatility. A second part of our study employs intraday correlation to investigate these links in greater depth, while a third part looks at how private information and trading noise contribute to price evolution.
high frequency data, futures, market microstructure, asymmetric information, order-driven
McGroarty, Frank
693a5396-8e01-4d68-8973-d74184c03072
ap Gwilym, Owain
dbd356d9-b22d-420b-a980-7341f6d52f34
Thomas, Steve
effeb4ca-ca6b-4b21-b399-4f56cecc5d31
6 January 2010
McGroarty, Frank
693a5396-8e01-4d68-8973-d74184c03072
ap Gwilym, Owain
dbd356d9-b22d-420b-a980-7341f6d52f34
Thomas, Steve
effeb4ca-ca6b-4b21-b399-4f56cecc5d31
McGroarty, Frank, ap Gwilym, Owain and Thomas, Steve
(2010)
Market structure and microstructure, in international interest rate futures markets.
Research in International Business and Finance.
(doi:10.1016/j.ribaf.2009.12.005).
Abstract
We examine the role of market structure in identifying microstructure features of the NYSE.Euronext LIFFE STIR futures market by comparing the ability of two bid-ask spread component models to explain bid-ask spreads. These two models differ only in their assumptions about whether or not market makers are present. The period we analyze includes data from pit based trading alongside electronic market data. We explore how market structure affects the way private information influences bid-ask spreads and return volatility. A second part of our study employs intraday correlation to investigate these links in greater depth, while a third part looks at how private information and trading noise contribute to price evolution.
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Published date: 6 January 2010
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Article in Press
Keywords:
high frequency data, futures, market microstructure, asymmetric information, order-driven
Identifiers
Local EPrints ID: 79290
URI: http://eprints.soton.ac.uk/id/eprint/79290
ISSN: 0275-5319
PURE UUID: 64c0f2ab-6f6e-4797-9d3b-b6c72780ab25
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Date deposited: 16 Mar 2010
Last modified: 14 Mar 2024 02:48
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Contributors
Author:
Frank McGroarty
Author:
Owain ap Gwilym
Author:
Steve Thomas
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