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Data Envelopment Analysis in the Financial Services Industry [electronic resource] : A Guide for Practitioners and Analysts Working in Operations Research Using DEA / by Joseph C. Paradi, H. David Sherman, Fai Keung Tam.

By: Contributor(s): Material type: TextTextSeries: International Series in Operations Research & Management Science ; 266Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XXX, 370 p. 68 illus., 59 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319697253
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 658.40301
LOC classification:
  • HD30.23
Online resources:
Contents:
Part1. Data Envelopment Analysis, in brief, with little math -- Chapter1. DEA models overview -- Chapter2. Survey of the banking literature -- Chapter3. Survey of other financial services literature -- Part2. DEA in Banking -- Chapter4. Banking corporation studies: In-country studies -- Chapter5. Banking corporation studies: Multinational studies -- Chapter6. Bank branch productivity applications: Basic applications - Efficiency measurement -- Chapter7. Bank branch productivity applications: Managing bank productivity -- Chapter8. Bank branch productivity applications: Focused applications to improve performance -- Chapter9. Bank branch productivity applications: Strategic branch management issues addressed with DEA -- Chapter10. Bank branch operational studies using DEA -- Chapter11. Bank branch benchmarking with quality as a component -- Part3. Non-banking financial services -- Chapter12. Securities market applications: Risk measurement of IPOs -- Chapter13. Securities market applications: Pension, mutual and hedge fund insights with DEA -- Chapter14. Securities market applications: Stock market valuation of securities and financial services - Insights with DEA -- Chapter15. Financial services beyond banking: Credit unions -- Chapter16. Financial services beyond banking: Insurance -- Chapter17. Financial services beyond banking: Corporate failure prediction -- Chapter 18. Financial Services beyond Banking: Risk tolerance measures for portfolio investors -- Part4. Guidance on applying DEA, interpreting results, recognizing caveats and other useful information -- Chapter19. Guide to DEA model formulation -- Part5. Conclusions -- Chapter20. Conclusions and recommendations.
In: Springer Nature eBookSummary: This book presents the methodology and applications of Data Envelopment Analysis (DEA) in measuring productivity, efficiency and effectiveness in Financial Services firms such as banks, bank branches, stock markets, pension funds, mutual funds, insurance firms, credit unions, risk tolerance, and corporate failure prediction. Financial service DEA research includes banking; insurance businesses; hedge, pension and mutual funds; and credit unions. Significant business transactions among financial service organizations such as bank mergers and acquisitions and valuation of IPOs have also been the focus of DEA research. The book looks at the range of DEA uses for financial services by presenting prior studies, examining the current capabilities reflected in the most recent research, and projecting future new uses of DEA in finance related applications.
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Holdings
Item type Home library Collection Call number Status Date due Barcode Item holds
E-Book E-Book Biblioteca Digital Colección SPRINGER 658.40301 (Browse shelf(Opens below)) Not For Loan
Total holds: 0

Part1. Data Envelopment Analysis, in brief, with little math -- Chapter1. DEA models overview -- Chapter2. Survey of the banking literature -- Chapter3. Survey of other financial services literature -- Part2. DEA in Banking -- Chapter4. Banking corporation studies: In-country studies -- Chapter5. Banking corporation studies: Multinational studies -- Chapter6. Bank branch productivity applications: Basic applications - Efficiency measurement -- Chapter7. Bank branch productivity applications: Managing bank productivity -- Chapter8. Bank branch productivity applications: Focused applications to improve performance -- Chapter9. Bank branch productivity applications: Strategic branch management issues addressed with DEA -- Chapter10. Bank branch operational studies using DEA -- Chapter11. Bank branch benchmarking with quality as a component -- Part3. Non-banking financial services -- Chapter12. Securities market applications: Risk measurement of IPOs -- Chapter13. Securities market applications: Pension, mutual and hedge fund insights with DEA -- Chapter14. Securities market applications: Stock market valuation of securities and financial services - Insights with DEA -- Chapter15. Financial services beyond banking: Credit unions -- Chapter16. Financial services beyond banking: Insurance -- Chapter17. Financial services beyond banking: Corporate failure prediction -- Chapter 18. Financial Services beyond Banking: Risk tolerance measures for portfolio investors -- Part4. Guidance on applying DEA, interpreting results, recognizing caveats and other useful information -- Chapter19. Guide to DEA model formulation -- Part5. Conclusions -- Chapter20. Conclusions and recommendations.

This book presents the methodology and applications of Data Envelopment Analysis (DEA) in measuring productivity, efficiency and effectiveness in Financial Services firms such as banks, bank branches, stock markets, pension funds, mutual funds, insurance firms, credit unions, risk tolerance, and corporate failure prediction. Financial service DEA research includes banking; insurance businesses; hedge, pension and mutual funds; and credit unions. Significant business transactions among financial service organizations such as bank mergers and acquisitions and valuation of IPOs have also been the focus of DEA research. The book looks at the range of DEA uses for financial services by presenting prior studies, examining the current capabilities reflected in the most recent research, and projecting future new uses of DEA in finance related applications.

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