Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/466592
Title: Analysis prediction and determination of performance of public sector banks in India
Researcher: VEGESNA K.V. RAJU
Guide(s): V.V.S. KESAVA RAO
Keywords: Engineering
Engineering and Technology
Engineering Mechanical
University: Andhra University
Completed Date: 2019
Abstract: newline quotFinancial condition evaluation is going to be crucial for overall economy of any newlinecountry. In particular the role of banking sector is going to play a key role in the economy newlineup liftment. An attempt is made to evaluate financial soundness and rank the 20 public newlinesector banks using integrated AHM-GRA-DEA method. An effort also made to evaluate newlinefinancial efficiency through DEA-Super efficiency, DEA-Cross efficiency models. These newlinetwo results are again subjected to Clustering Analysis to group the 20 banks in three newlinecategories. Clustering analysis result is further validated by ANN-MLP. ANN-MLP is also newlineused to calculate importance values of CAMEL ratios. Taking these importance values into newlineconsideration, the overall rank of banks is arrived using an integrated method comprising newlineof CA-ANN-GRA-DEA.quot newline
Pagination: 207
URI: http://hdl.handle.net/10603/466592
Appears in Departments:Department of Mechanical Engineering

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01_title.pdfAttached File95.57 kBAdobe PDFView/Open
02_prelim pages.pdf69.23 kBAdobe PDFView/Open
03_content.pdf64.48 kBAdobe PDFView/Open
04_abstract.pdf46.87 kBAdobe PDFView/Open
05_chapter 1.pdf223.16 kBAdobe PDFView/Open
06_chapter 2.pdf180.28 kBAdobe PDFView/Open
07_chapter 3.pdf264.49 kBAdobe PDFView/Open
08_chapter 4.pdf312.62 kBAdobe PDFView/Open
09_chapter 5.pdf272.46 kBAdobe PDFView/Open
10_chapter 6.pdf176.56 kBAdobe PDFView/Open
11_chapter 7.pdf187.25 kBAdobe PDFView/Open
12_annexures.pdf1.48 MBAdobe PDFView/Open
80_recommendation.pdf254.75 kBAdobe PDFView/Open
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