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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="ru">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>π-Economy</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>π-Economy</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2782-6015</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">50</article-id>
      <title-group>
        <article-title>Regarding the distribution of locally stationary regions in the sequences of stock prices</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>О распределении локально-стационарных участков временных рядовдоходностей финансовых инструментов</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Berkolaiko</surname>
            <given-names>Mark</given-names>
          </name>
          <email>berk@investpalata.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lavinskiy</surname>
            <given-names>Roman</given-names>
          </name>
          <email>romanlavlinskiy@gmail.com</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2010-12-10">
        <day>10</day>
        <month>12</month>
        <year>2010</year>
      </pub-date>
      <issue>6</issue>
      <issue-id pub-id-type="publisher-id">112</issue-id>
      <fpage>250</fpage>
      <lpage>253</lpage>
      <abstract xml:lang="en">
        <p>This paper proposes a locally stationary model that describes the behavior of stock market prices. A variety of tests is offered for detecting the local stationarity of data sets. Authors investigate the distribution of locally stationary regions for different types of assets.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>STOCK MARKET</kwd>
        <kwd>PROBABILITY MODELS</kwd>
        <kwd>LOCAL STATIONARITY</kwd>
        <kwd>STATIONARY REGIONS DETECTION</kwd>
        <kwd>DISTRIBUTION DIFFERENCE</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
