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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JDS</journal-id>
      <journal-title-group>
        <journal-title>Journal of Data Science</journal-title>
      </journal-title-group>
      <issn pub-type="epub">1680-743X</issn>
      <issn pub-type="ppub">1680-743X</issn>
      <publisher>
        <publisher-name>SOSRUC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">100308</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201207_10(3).0008</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Option Pricing with Markov Switching</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Fuh</surname>
            <given-names>Cheng-Der</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">National Central University</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Ho</surname>
            <given-names>Kwok Wah Remus</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Chinese University of Hong Kong</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Hu</surname>
            <given-names>Inchi</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Hong Kong University of Science and Technology</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Wang</surname>
            <given-names>Ren-Her</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_003"/>
        </contrib>
        <aff id="j_JDS_aff_003">Tamkang University</aff>
      </contrib-group>
      <volume>10</volume>
      <issue>3</issue>
      <fpage>483</fpage>
      <lpage>509</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: In this article, we consider a model of time-varying volatility which generalizes the classical Black-Scholes model to include regime-switching properties. Specifically, the unobservable state variables for stock fluctuations are modeled by a Markov process, and the drift and volatility parameters take different values depending on the state of this hidden Markov process. We provide a closed-form formula for the arbitrage-free price of the European call option, when the hidden Markov process has finite number of states. Two simulation methods, the discrete diffusion method and the Markovian tree method, for computing the European call option price are presented for comparison.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Arbitrage</kwd>
        <kwd>hidden Markov model</kwd>
        <kwd>implied volatility</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
