skip to content
Optimizing optimization : the next generation of optimization applications and theory Preview this item
ClosePreview this item
Checking...

Optimizing optimization : the next generation of optimization applications and theory

Author: S Satchell
Publisher: Amsterdam ; Boston : Academic Press, ©2010.
Series: Quantitative finance series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Editor Stephen Satchell brings us a book that truly lives up to its title: optimizing optimization by taking the lessons learned about the failures of portfolio optimization from the credit crisis and collecting them into one book, providing a variety of perspectives from the leaders in both industry and academia on how to solve these problems both in theory and in practice. Industry leaders are invited to present  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Optimizing optimization.
Amsterdam ; Boston : Academic Press, ©2010
(OCoLC)477141747
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: S Satchell
ISBN: 9780123749529 0123749522 9780080959207 0080959202
OCLC Number: 528610139
Description: 1 online resource (xvi, 306 pages) : illustrations.
Contents: Optimizing Optimization --
Stephen Satchell --
Section 1: Practitioners and Products --
Chapter 1: Robust Portfolio Optimization Using Second Order Cone Programming --
Fiona Kolbert and Laurence Wormald --
Chapter 2: Novel Approaches to Portfolio Construction: Multiple Risk Models and Multi-Solution Generation --
Sebastian Ceria, Francis Margot, Anthony Renshaw, and Anureet Saxena --
Chapter 3: Bitter Lessons Learned from Practical Optimization or A Holding Hand Through the Dark Valley of Infeasibility --
Daryl Roxburgh, Katja Scherer, and Tim Matthews --
Chapter 4: The Windham Portfolio Advisor --
Mark Kritzman --
Section 2: Theory --
Chapter 5: Modeling, Estimation, and Optimization of Equity Portfolios with Heavy-tailed Distributions --
Amira Biglova, Sergio Ortobelli, Svetlozar Rachev, and Frank J. Fabozzi --
Chapter 6: Staying Ahead on Downside Risk --
Giuliano De Rossi --
Chapter 7: Optimization and Portfolio Selection --
Hal Forsey and Frank Sortino --
Chapter 8: Computing Optimal Mean/Downside Risk Frontiers: the Role of Ellipticity --
A.D. Hall and Stephen Satchell --
Chapter 9: Portfolio Optimization with 'Threshold Accepting': A Practical Guide --
Manfred Gilli and Enrico Schumann --
Chapter 10: Some Properties Averaging Simulated Optimization Methods --
J. Knight and Stephen Satchell --
Chapter 11: Heuristic Portfolio Optimization: Bayesian Updating with the Johnson Family of Distributions --
Richard Louth --
Chapter 12: More Than You Ever Wanted to Know about Conditional Value at Risk-Optimization --
Bernd Scherer.
Series Title: Quantitative finance series.
Responsibility: [edited by] Stephen Satchell.

Abstract:

Provides an insight into the landscape of portfolio optimization. This work highlights a global view of common optimization issues. It emphasizes the research and market challenges of optimization  Read more...

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/528610139> # Optimizing optimization : the next generation of optimization applications and theory
    a schema:Book, schema:MediaObject, schema:CreativeWork ;
    library:oclcnum "528610139" ;
    library:placeOfPublication <http://dbpedia.org/resource/Boston> ; # Boston
    library:placeOfPublication <http://experiment.worldcat.org/entity/work/data/943636882#Place/amsterdam> ; # Amsterdam
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/enk> ;
    rdfs:comment "Warning: This malformed URI has been treated as a string - 'https://libproxy.library.unt.edu/login?url=http://site.ebrary.com/lib/unt/docDetail.action?docID=10379017";'" ;
    schema:about <http://experiment.worldcat.org/entity/work/data/943636882#Topic/portfolio_management_data_processing> ; # Portfolio management--Data processing
    schema:about <http://id.loc.gov/authorities/subjects/sh2008109870> ; # Portfolio management--Mathematical models
    schema:about <http://id.worldcat.org/fast/1072082> ; # Portfolio management--Mathematical models
    schema:about <http://id.worldcat.org/fast/1072076> ; # Portfolio management--Data processing
    schema:about <http://dewey.info/class/332.602853/e22/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/943636882#Topic/business_&_economics_investments_&_securities_general> ; # BUSINESS & ECONOMICS--Investments & Securities--General
    schema:bookFormat schema:EBook ;
    schema:contributor <http://viaf.org/viaf/74998924> ; # Stephen Satchell
    schema:copyrightYear "2010" ;
    schema:datePublished "2010" ;
    schema:description "Editor Stephen Satchell brings us a book that truly lives up to its title: optimizing optimization by taking the lessons learned about the failures of portfolio optimization from the credit crisis and collecting them into one book, providing a variety of perspectives from the leaders in both industry and academia on how to solve these problems both in theory and in practice. Industry leaders are invited to present chapters that explain how their new breed of optimization software addresses the faults of previous versions. Software vendors present their best of breed optimization software, demonstrating how it addresses the faults of the credit crisis. Cutting-edge academic articles complement the commercial applications to provide a well-rounded insight into the current landscape of portfolio optimization. Optimization is the holy grail of portfolio management, creating a portfolio in which return is highest in light of the risk the client is willing to take. Portfolio optimization has been done by computer modeling for over a decade, and several leading software companies make a great deal of money by selling optimizers to investment houses and hedge funds. Hedge funds in particular were enamored of heavily computational optimizing software, and many have been burned when this software did not perform as, er, expected during the market meltdown. The software providers are currently reworking their software to address any shortcomings that became apparent during the meltdown, and are eager for a forum to address their market and have the space to describe in detail how their new breed of software can manage not only the meltdown problems but also perform faster and better than ever before-that is, optimizing the optimizers!! In addition, there is a strong line of serious well respected research on portfolio optimization coming from the academic side of the finance world. Many different academic approaches have appeared toward optimization: some favor stochastic methods, others numerical methods, others heuristic methods. All focus on the same issues of optimizing performance at risk levels. This book will provide the forum that the software vendors are looking for to showcase their new breed of software. It will also provide a forum for the academics to showcase their latest research. It will be a must-read book for portfolio managers who need to know whether their current optimization software provider is up to snuff compared to the competition, whether they need to move to a competitor product, whether they need to be more aware of the cutting-edge academic research as well. Presents a unique "confrontation" between software engineers and academics Highlights a global view of common optimization issues Emphasizes the research and market challenges of optimization software while avoiding sales pitches Accentuates real applications, not laboratory results."@en ;
    schema:description "Optimizing Optimization -- Stephen Satchell -- Section 1: Practitioners and Products -- Chapter 1: Robust Portfolio Optimization Using Second Order Cone Programming -- Fiona Kolbert and Laurence Wormald -- Chapter 2: Novel Approaches to Portfolio Construction: Multiple Risk Models and Multi-Solution Generation -- Sebastian Ceria, Francis Margot, Anthony Renshaw, and Anureet Saxena -- Chapter 3: Bitter Lessons Learned from Practical Optimization or A Holding Hand Through the Dark Valley of Infeasibility -- Daryl Roxburgh, Katja Scherer, and Tim Matthews -- Chapter 4: The Windham Portfolio Advisor -- Mark Kritzman -- Section 2: Theory -- Chapter 5: Modeling, Estimation, and Optimization of Equity Portfolios with Heavy-tailed Distributions -- Amira Biglova, Sergio Ortobelli, Svetlozar Rachev, and Frank J. Fabozzi -- Chapter 6: Staying Ahead on Downside Risk -- Giuliano De Rossi -- Chapter 7: Optimization and Portfolio Selection -- Hal Forsey and Frank Sortino -- Chapter 8: Computing Optimal Mean/Downside Risk Frontiers: the Role of Ellipticity -- A.D. Hall and Stephen Satchell -- Chapter 9: Portfolio Optimization with 'Threshold Accepting': A Practical Guide -- Manfred Gilli and Enrico Schumann -- Chapter 10: Some Properties Averaging Simulated Optimization Methods -- J. Knight and Stephen Satchell -- Chapter 11: Heuristic Portfolio Optimization: Bayesian Updating with the Johnson Family of Distributions -- Richard Louth -- Chapter 12: More Than You Ever Wanted to Know about Conditional Value at Risk-Optimization -- Bernd Scherer."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/943636882> ;
    schema:genre "Electronic books"@en ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/943636882#Series/quantitative_finance_series> ; # Quantitative finance series.
    schema:isSimilarTo <http://www.worldcat.org/oclc/477141747> ;
    schema:name "Optimizing optimization : the next generation of optimization applications and theory"@en ;
    schema:productID "528610139" ;
    schema:publication <http://www.worldcat.org/title/-/oclc/528610139#PublicationEvent/amsterdam_boston_academic_press_2010> ;
    schema:publisher <http://experiment.worldcat.org/entity/work/data/943636882#Agent/academic_press> ; # Academic Press
    schema:url <http://www.sciencedirect.com/science/book/9780123749529> ;
    schema:url "https://libproxy.library.unt.edu/login?url=http://site.ebrary.com/lib/unt/docDetail.action?docID=10379017";" ;
    schema:url <http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=319664> ;
    schema:url <http://www.myilibrary.com?id=266608> ;
    schema:url <http://0-www.sciencedirect.com.pugwash.lib.warwick.ac.uk/science/book/9780123749529> ;
    schema:url <http://site.ebrary.com/id/10379017> ;
    schema:workExample <http://worldcat.org/isbn/9780080959207> ;
    schema:workExample <http://worldcat.org/isbn/9780123749529> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/528610139> ;
    .


Related Entities

<http://dbpedia.org/resource/Boston> # Boston
    a schema:Place ;
    schema:name "Boston" ;
    .

<http://experiment.worldcat.org/entity/work/data/943636882#Agent/academic_press> # Academic Press
    a bgn:Agent ;
    schema:name "Academic Press" ;
    .

<http://experiment.worldcat.org/entity/work/data/943636882#Series/quantitative_finance_series> # Quantitative finance series.
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/528610139> ; # Optimizing optimization : the next generation of optimization applications and theory
    schema:name "Quantitative finance series." ;
    schema:name "Quantitative finance series" ;
    .

<http://experiment.worldcat.org/entity/work/data/943636882#Topic/business_&_economics_investments_&_securities_general> # BUSINESS & ECONOMICS--Investments & Securities--General
    a schema:Intangible ;
    schema:name "BUSINESS & ECONOMICS--Investments & Securities--General"@en ;
    .

<http://id.loc.gov/authorities/subjects/sh2008109870> # Portfolio management--Mathematical models
    a schema:Intangible ;
    schema:name "Portfolio management--Mathematical models"@en ;
    .

<http://id.worldcat.org/fast/1072076> # Portfolio management--Data processing
    a schema:Intangible ;
    schema:name "Portfolio management--Data processing"@en ;
    .

<http://id.worldcat.org/fast/1072082> # Portfolio management--Mathematical models
    a schema:Intangible ;
    schema:name "Portfolio management--Mathematical models"@en ;
    .

<http://viaf.org/viaf/74998924> # Stephen Satchell
    a schema:Person ;
    schema:familyName "Satchell" ;
    schema:givenName "Stephen" ;
    schema:givenName "S." ;
    schema:name "Stephen Satchell" ;
    .

<http://worldcat.org/isbn/9780080959207>
    a schema:ProductModel ;
    schema:isbn "0080959202" ;
    schema:isbn "9780080959207" ;
    .

<http://worldcat.org/isbn/9780123749529>
    a schema:ProductModel ;
    schema:isbn "0123749522" ;
    schema:isbn "9780123749529" ;
    .

<http://www.worldcat.org/oclc/477141747>
    a schema:CreativeWork ;
    rdfs:label "Optimizing optimization." ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/528610139> ; # Optimizing optimization : the next generation of optimization applications and theory
    .

<http://www.worldcat.org/title/-/oclc/528610139>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/528610139> ; # Optimizing optimization : the next generation of optimization applications and theory
    schema:dateModified "2018-09-19" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.