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Efficient calibration for problems in option pricing

Identifieur interne : 000759 ( Istex/Corpus ); précédent : 000758; suivant : 000760

Efficient calibration for problems in option pricing

Auteurs : A. M. Giese ; C. Kaebe ; J. H. Maruhn ; E. W. Sachs

Source :

RBID : ISTEX:5C95CD1BDA379F3B516E885232C7F1E31CE6A41D

Abstract

The pricing of derivatives has gained considerable importance in the finance industry and leads to challenging problems in numerical optimization. We focus on the numerical solution of a stochastic model for option prices. In particular, we are concerned with the calibration of these models to real data, which leads to large scale optimization problems. We consider the numerical solution of these optimization problems and give some indication how to reduce the complexity of these problems. Special emphasis is devoted to a multi‐layer strategy which is embedded into the optimization iteration. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

Url:
DOI: 10.1002/pamm.200701141

Links to Exploration step

ISTEX:5C95CD1BDA379F3B516E885232C7F1E31CE6A41D

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<titleInfo type="abbreviated" lang="en">
<title>ICIAM07 Minisymposia – 06 Optimization</title>
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<titleInfo type="alternative" contentType="CDATA" lang="en">
<title>Efficient calibration for problems in option pricing</title>
</titleInfo>
<name type="personal">
<namePart type="given">A. M.</namePart>
<namePart type="family">Giese</namePart>
<affiliation>UniCredit Markets & Investment Banking, Financial Engineering Equities and Hybrids, Bayerische Hypo‐ und Vereinsbank, 81925 Munich, Germany</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">C.</namePart>
<namePart type="family">Kaebe</namePart>
<affiliation>Universität Trier, Fachbereich IV, Abteilung Mathematik, 54286 Trier, Germany</affiliation>
<affiliation>Phone: +0049 651 201 3472 Fax: +0049 651 201 3973</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">J. H.</namePart>
<namePart type="family">Maruhn</namePart>
<affiliation>UniCredit Markets & Investment Banking, Financial Engineering Equities and Hybrids, Bayerische Hypo‐ und Vereinsbank, 81925 Munich, Germany</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">E. W.</namePart>
<namePart type="family">Sachs</namePart>
<affiliation>Universität Trier, Fachbereich IV, Abteilung Mathematik, 54286 Trier, Germany</affiliation>
<affiliation>Interdisciplinary Center for Applied Mathematics, Virginia Tech, Blacksburg, VA 24060, USA</affiliation>
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<publisher>WILEY‐VCH Verlag</publisher>
<place>
<placeTerm type="text">Berlin</placeTerm>
</place>
<dateIssued encoding="w3cdtf">2007-12</dateIssued>
<copyrightDate encoding="w3cdtf">2007</copyrightDate>
</originInfo>
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<languageTerm type="code" authority="rfc3066">en</languageTerm>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
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<extent unit="references">6</extent>
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<abstract lang="en">The pricing of derivatives has gained considerable importance in the finance industry and leads to challenging problems in numerical optimization. We focus on the numerical solution of a stochastic model for option prices. In particular, we are concerned with the calibration of these models to real data, which leads to large scale optimization problems. We consider the numerical solution of these optimization problems and give some indication how to reduce the complexity of these problems. Special emphasis is devoted to a multi‐layer strategy which is embedded into the optimization iteration. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)</abstract>
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<titleInfo>
<title>PAMM</title>
<subTitle>Proceedings in Applied Mathematics and Mechanics</subTitle>
</titleInfo>
<titleInfo type="abbreviated">
<title>Proc. Appl. Math. Mech.</title>
</titleInfo>
<genre type="journal">journal</genre>
<subject>
<genre>article-category</genre>
<topic>ICIAM07 Minisymposia – 06 Optimization</topic>
</subject>
<identifier type="ISSN">1617-7061</identifier>
<identifier type="eISSN">1617-7061</identifier>
<identifier type="DOI">10.1002/(ISSN)1617-7061</identifier>
<identifier type="PublisherID">PAMM</identifier>
<part>
<date>2007</date>
<detail type="title">
<title>Sixth International Congress on Industrial Applied Mathematics (ICIAM07) and GAMM Annual Meeting, Zürich 2007</title>
</detail>
<detail type="volume">
<caption>vol.</caption>
<number>7</number>
</detail>
<detail type="issue">
<caption>no.</caption>
<number>1</number>
</detail>
<extent unit="pages">
<start>1062601</start>
<end>1062602</end>
<total>2</total>
</extent>
</part>
</relatedItem>
<identifier type="istex">5C95CD1BDA379F3B516E885232C7F1E31CE6A41D</identifier>
<identifier type="DOI">10.1002/pamm.200701141</identifier>
<identifier type="ArticleID">PAMM200701141</identifier>
<accessCondition type="use and reproduction" contentType="copyright">Copyright © 2007 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim</accessCondition>
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<recordOrigin>WILEY‐VCH Verlag</recordOrigin>
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