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      <namePart>CHA, SEUNG YOUN</namePart>
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   <titleInfo>
      <title>INFORMATION EFFICIENCY AND THE EFFECT OF HIGH FREQUENCY TRADING IN THE U.S. FUTURES MARKETS</title>
   </titleInfo>
   <originInfo>
      <dateCreated keyDate="yes">2021</dateCreated>
   </originInfo>
   <note displayLabel="Degree Awarded">Spring 2021</note>
   <typeOfResource authority="aat" valueURI="http://vocab.getty.edu/page/aat/300028029">Dissertation</typeOfResource>
   <name type="corporate">
      <affiliation>Illinois Institute of Technology</affiliation>
   </name>
   <name type="corporate">
      <namePart>SSB / Stuart School of Business</namePart>
   </name>
   <name authority="wikidata" authorityURI="https://www.wikidata.org" valueURI="https://www.wikidata.org/wiki/Q132135224">
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      <namePart>Cooper, Ricky</namePart>
   </name>
   <subject>
      <topic>Finance</topic>
   </subject>
   <subject>
      <topic>Adaptive Market Hypothesis</topic>
   </subject>
   <subject>
      <topic>Efficient Market Hypothesis</topic>
   </subject>
   <subject>
      <topic>High Frequency Trading</topic>
   </subject>
   <subject>
      <topic>Information Efficiency</topic>
   </subject>
   <subject>
      <topic>Market Efficiency</topic>
   </subject>
   <subject>
      <topic>VAR</topic>
   </subject>
   <language>
      <languageTerm type="code" authority="rfc3066">en</languageTerm>
   </language>
   <abstract>The paper gives an empirical analysis with the U.S. futures market data on how High Frequency Trading, HFT can improve the information efficiency of asset prices.  Various analyses were conducted to determine the degree of efficiency of information in futures high-frequency trading.  The paper tries to explain the effect of high-frequency trading on the efficiency of the market in various ways and tries to propose stepping stones for developing a new market analysis measure.The research builds a coherent framework for analyzing both linear and non-linear market efficiency and applies it to a variety of futures contracts using high- frequency data. 
The major finding of this paper is that market efficiency levels vary widely over time depending on market characteristics. The paper also finds that HFT activities are higher when the market is inefficient.
The paper analyzes the relationship between high frequency trading activities and market efficiency and discovers the mechanism. The story that HFT activity responds to market efficiency needs is especially strong in the E-mini, S&amp;P500 futures contract.
</abstract>
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   <accessCondition type="restrictionOnAccess">Restricted Access</accessCondition>
   <note type="embargo">Embargo Until: 01/11/2023</note>
<identifier type="hdl">http://hdl.handle.net/10560/islandora:1024827</identifier></mods>