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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article
Data sources: zbMATH Open
Management Science
Article . 1998 . Peer-reviewed
Data sources: Crossref
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Information Technology and Time-Based Competition in Financial Markets

Information technology and time-based competition in financial markets
Authors: Sanjeev Dewan; Haim Mendelson;

Information Technology and Time-Based Competition in Financial Markets

Abstract

This paper studies time-based competition in imperfect securities markets, linking IT investment decisions, information processing delays, and trading strategies. At the IT investment stage, traders trade off the cost of IT against their anticipated trading profits. At the trading stage, each trader devises a trading strategy based on his new information while taking into account the impact of both his own trades and those of other traders in the market. Our results illustrate how traders react to market imperfections due to trading costs and information processing delays, and how superior traders convert a timeliness advantage into higher trading profits. They also shed light on the relationship between the price adjustment process and traders' information processing delays. Timeliness imposes an interesting structure on trader competition: traders with longer information processing delays trade less frequently, submit smaller orders and enjoy lower profits per trade. Our analysis of traders' IT investment decisions demonstrates how factors such as IT costs, number of traders, and the frequency and nature of new information affect the level of IT investments. We further illustrate how improved IT infrastructure translates into competitive advantage.

Related Organizations
Keywords

Auctions, bargaining, bidding and selling, and other market models, Marketing, advertising, information technology investment, financial markets, trading, Finance etc., time-based competition, information technology infrastructure, Time-Based Competition, Trading, Financial Markets, Information Technology Investment, Information Technology Infrastructure

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
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