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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">INFORMATICA</journal-id>
			<journal-title-group>
				<journal-title>Informatica</journal-title>
			</journal-title-group>
			<issn pub-type="epub">0868-4952</issn>
			<issn pub-type="ppub">0868-4952</issn>
			<publisher>
				<publisher-name>VU</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">INF12401</article-id>
			<article-id pub-id-type="doi">10.3233/INF-2001-12401</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Research article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Hypothesis of Normality in the Context of the Market Model</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="Author">
					<name>
						<surname>Alvarez</surname>
						<given-names>Susana</given-names>
					</name>
					<xref ref-type="aff" rid="j_INFORMATICA_aff_000"/>
				</contrib>
				<contrib contrib-type="Author">
					<name>
						<surname>Baixauli</surname>
						<given-names>Samuel</given-names>
					</name>
					<email xlink:href="mailto:sbaixaul@um.es">sbaixaul@um.es</email>
					<xref ref-type="aff" rid="j_INFORMATICA_aff_000"/>
				</contrib>
				<aff id="j_INFORMATICA_aff_000">University of Murcia, Spain</aff>
			</contrib-group>
			<pub-date pub-type="epub">
				<day>01</day>
				<month>01</month>
				<year>2001</year>
			</pub-date>
			<volume>12</volume>
			<issue>4</issue>
			<fpage>491</fpage>
			<lpage>500</lpage>
			<history>
				<date date-type="received">
					<day>01</day>
					<month>09</month>
					<year>2001</year>
				</date>
			</history>
			<abstract>
				<p>This paper discusses the normality assumption of the market model errors, conventionally accepted. Some other possible specifications are proposed and their performance is testing using a test statistic based on the empirical distribution function of the residuals of the model and assuming that the null distribution can depend on some unknown parameters. The parametric bootstrap method is used. Empirical evidence is provided using a sample of thirty companies of the Spanish Stock Market.</p>
			</abstract>
			<kwd-group>
				<label>Keywords</label>
				<kwd>market model</kwd>
				<kwd>test statistics based on the empirical distribution function</kwd>
				<kwd>parametric bootstrap</kwd>
			</kwd-group>
		</article-meta>
	</front>
</article>