<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<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>7</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Defined Benefit Pension Fund ALM Model through Multistage Stochastic Programming</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>10</LastPage>
			<ELocationID EIdType="pii">11788</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Davide</FirstName>
					<LastName>Lauria</LastName>
<Affiliation>Department of Management, Economics and Quantitative Methods University of Bergamo, Italy</Affiliation>

</Author>
<Author>
					<FirstName>Giorgio</FirstName>
					<LastName>Consigli</LastName>
<Affiliation>Department of Management, Economics and Quantitative Methods University of Bergamo, Italy (Corresponding author)</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>06</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>We consider an asset-liability management (ALM) problem for a defined benefit pension fund (PF). The PF manager is assumed to follow a maximal fund valuation problem facing an extended set of risk factors:  due to the longevity of the    PF members, the inflation affecting salaries in real terms and future incomes, interest rates and market factors affecting jointly the PF liability and asset portfolio. The problem is formulated as a stochastic programming problem in discrete time and with a discrete set of relevant future economic and demographic scenarios. In real world applications, this class of decision problems under uncertainty leads to very large scale and complex management problems, due to pending regulatory constraints and the need to preserve the PF funding conditions. Dynamic stochastic programming is shown under such conditions to provide a natural and effective mathematical and numerical approach.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Pension fund asset-liability management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">dynamic stochastic programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">defined benefit obligation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">longevity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">funding ratio</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">http://www.ijfma.ir/article_11788_f6d1ecd13a24f8caf9c014e14dda156d.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
