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Predicting Efficiency in Angolan Banks: A Two-Stage TOPSIS and Neural Networks Approach

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  • Peter Wanke
  • Carlos Barros
  • Nkanga Pedro João Macanda

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  • Peter Wanke & Carlos Barros & Nkanga Pedro João Macanda, 2016. "Predicting Efficiency in Angolan Banks: A Two-Stage TOPSIS and Neural Networks Approach," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 461-483, September.
    • Handle: RePEc:bla:sajeco:v:84:y:2016:i:3:p:461-483
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    Cited by:

    1. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    2. Wanke, Peter & Azad, Md. Abul Kalam & Barros, Carlos Pestana & Hassan, M. Kabir, 2016. "Predicting efficiency in Islamic banks: An integrated multicriteria decision making (MCDM) approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 126-141.
    3. Konara, Palitha & Tan, Yong & Johnes, Jill, 2019. "FDI and heterogeneity in bank efficiency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 49(C), pages 100-113.
    4. Carlos Pestana Barros & Emanuel Reis Leão & Nkanga Pedro João Macanda & Zorro Mendes, 2016. "A Bayesian Efficiency Analysis of Angolan Banks," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 484-498, September.

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