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Data Envelopment Analysis in the Financial Services Industry = A Guide for Practitioners and Analysts Working in Operations Research Using DEA /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data Envelopment Analysis in the Financial Services Industry/ by Joseph C. Paradi, H. David Sherman, Fai Keung Tam.
其他題名:	A Guide for Practitioners and Analysts Working in Operations Research Using DEA /
作者:	Paradi, Joseph C.
其他作者:	Sherman, H. David.
面頁冊數:	XXX, 370 p. 68 illus., 59 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Operations research. -
電子資源:	https://doi.org/10.1007/978-3-319-69725-3
ISBN:	9783319697253

Data Envelopment Analysis in the Financial Services Industry = A Guide for Practitioners and Analysts Working in Operations Research Using DEA /
Paradi, Joseph C.

Data Envelopment Analysis in the Financial Services IndustryA Guide for Practitioners and Analysts Working in Operations Research Using DEA /[electronic resource] :by Joseph C. Paradi, H. David Sherman, Fai Keung Tam. - 1st ed. 2018. - XXX, 370 p. 68 illus., 59 illus. in color.online resource. - International Series in Operations Research & Management Science,2660884-8289 ;. - International Series in Operations Research & Management Science,227.

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.

ISBN: 9783319697253

Standard No.: 10.1007/978-3-319-69725-3doiSubjects--Topical Terms:

573517
Operations research.

LC Class. No.: HD30.23

Dewey Class. No.: 658.40301

Data Envelopment Analysis in the Financial Services Industry = A Guide for Practitioners and Analysts Working in Operations Research Using DEA /
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