eBook
Προβολή σε EDS

Simulation, Optimization, and Machine Learning for Finance, Second Edition

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Simulation, Optimization, and Machine Learning for Finance, Second Edition
Περιγραφή: A comprehensive guide to simulation, optimization, and machine learning for finance, covering theoretical foundations, practical applications, and data-driven decision-making.Simulation, Optimization, and Machine Learning for Finance offers a comprehensive introduction to the quantitative tools essential for asset management and corporate finance. This extensively revised and expanded edition builds upon the foundation of the textbook Simulation and Optimization in Finance, integrating the latest advancements in quantitative tools. Designed for undergraduates, graduate students, and professionals seeking to enhance their analytical expertise in finance, the book bridges theory with practical application, making complex financial concepts more accessible.Beginning with a review of foundational finance principles, the text progresses to advanced topics in simulation, optimization, and machine learning, demonstrating their relevance in financial decision-making. Readers gain hands-on experience developing financial risk models using these techniques, fostering conceptual understanding and practical implementation.Provides a structured introduction to probability, inferential statistics, and data scienceExplores cutting-edge techniques in simulation modeling, optimization, and machine learningDemonstrates real-world asset allocation strategies, advanced portfolio risk measures, and fixed-income portfolio management using quantitative toolsCovers factor models and stochastic processes in asset pricingIntegrates capital budgeting and real options analysis, emphasizing the role of uncertainty and quantitative modeling in long-term financial decision-makingIs suitable for practitioners, students, and self-learners
Συγγραφείς: Dessislava A. Pachamanova, Frank J. Fabozzi, Francesco A. Fabozzi
Resource Type: eBook.
Θέματα: Finance--Mathematical models--Computer programs
Categories: BUSINESS & ECONOMICS / Statistics, BUSINESS & ECONOMICS / Finance / Financial Engineering, COMPUTERS / Data Science / Machine Learning
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4097397
RelevancyScore: 981
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 981.043701171875
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Simulation, Optimization, and Machine Learning for Finance, Second Edition
– Name: Abstract
  Label: Description
  Group: Ab
  Data: A comprehensive guide to simulation, optimization, and machine learning for finance, covering theoretical foundations, practical applications, and data-driven decision-making.Simulation, Optimization, and Machine Learning for Finance offers a comprehensive introduction to the quantitative tools essential for asset management and corporate finance. This extensively revised and expanded edition builds upon the foundation of the textbook Simulation and Optimization in Finance, integrating the latest advancements in quantitative tools. Designed for undergraduates, graduate students, and professionals seeking to enhance their analytical expertise in finance, the book bridges theory with practical application, making complex financial concepts more accessible.Beginning with a review of foundational finance principles, the text progresses to advanced topics in simulation, optimization, and machine learning, demonstrating their relevance in financial decision-making. Readers gain hands-on experience developing financial risk models using these techniques, fostering conceptual understanding and practical implementation.Provides a structured introduction to probability, inferential statistics, and data scienceExplores cutting-edge techniques in simulation modeling, optimization, and machine learningDemonstrates real-world asset allocation strategies, advanced portfolio risk measures, and fixed-income portfolio management using quantitative toolsCovers factor models and stochastic processes in asset pricingIntegrates capital budgeting and real options analysis, emphasizing the role of uncertainty and quantitative modeling in long-term financial decision-makingIs suitable for practitioners, students, and self-learners
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Dessislava+A%2E+Pachamanova%22">Dessislava A. Pachamanova</searchLink><br /><searchLink fieldCode="AR" term="%22Frank+J%2E+Fabozzi%22">Frank J. Fabozzi</searchLink><br /><searchLink fieldCode="AR" term="%22Francesco+A%2E+Fabozzi%22">Francesco A. Fabozzi</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Finance--Mathematical+models--Computer+programs%22">Finance--Mathematical models--Computer programs</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Statistics%22">BUSINESS & ECONOMICS / Statistics</searchLink><br /><searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Finance+%2F+Financial+Engineering%22">BUSINESS & ECONOMICS / Finance / Financial Engineering</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4097397
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 332.028553
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Finance--Mathematical models--Computer programs
        Type: general
    Titles:
      – TitleFull: Simulation, Optimization, and Machine Learning for Finance, Second Edition
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Dessislava A. Pachamanova
      – PersonEntity:
          Name:
            NameFull: Frank J. Fabozzi
      – PersonEntity:
          Name:
            NameFull: Francesco A. Fabozzi
      – PersonEntity:
          Name:
            NameFull: Dessislava A. Pachamanova
      – PersonEntity:
          Name:
            NameFull: Frank J. Fabozzi
      – PersonEntity:
          Name:
            NameFull: Francesco A. Fabozzi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
            – D: 20
              M: 08
              Type: profile
              Y: 2025
          Identifiers:
            – Type: isbn-print
              Value: 9780262049801
            – Type: isbn-electronic
              Value: 9780262383776
          Titles:
            – TitleFull: Simulation, Optimization, and Machine Learning for Finance, Second Edition
              Type: main
ResultId 1