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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Iranian Financial Engineering Association(IFEA)</PublisherName>
				<JournalTitle>International Journal of Finance &amp; Managerial Accounting</JournalTitle>
				<Issn>2588-4379</Issn>
				<Volume>2</Volume>
				<Issue>6</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Simulation of Long-term Returns with Stochastic Correlations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>9</LastPage>
			<ELocationID EIdType="pii">11371</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Giorgio</FirstName>
					<LastName>Consigli</LastName>
<Affiliation>Department of Mathematics, Statistics and Computer Science, University of Bergamo,
Via dei Caniana, 24127 Bergamo, Italy (Corresponding author)</Affiliation>

</Author>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>M. Hosseinzadeh</LastName>
<Affiliation>Department of Mathematics, Statistics and Computer Science, University of Bergamo,
Via dei Caniana, 24127 Bergamo, Italy</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>02</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>This paper focuses on a nonlinear stochastic model for financial simulation and forecasting based on assumptions of multivariate stochastic correlation, with an application to the European market. We present in particular the key elements of a structured hierarchical econometric model that can be used to forecast financial and commodity markets relying on statistical and simulation methods. The investment universe includes money-market, fixed-income, inflation-linked bonds as well as equity and commodity indices. For each such investment opportunity a dedicated statistical model has been developed to generate future return paths describing the uncertainty the investment manager is facing over time.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Multivariate statistical method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stochastic correlation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Monte Carlo simulation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">http://www.ijfma.ir/article_11371_8e80aa8666161beb9f25f5bed48f06c7.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
