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Predicting bank performance with financial forecasts: A case of Taiwan commercial banks

  • Kao, Chiang
  • Liu, Shiang-Tai
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    Article provided by Elsevier in its journal Journal of Banking & Finance.

    Volume (Year): 28 (2004)
    Issue (Month): 10 (October)
    Pages: 2353-2368

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    Handle: RePEc:eee:jbfina:v:28:y:2004:i:10:p:2353-2368
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    1. Piyu Yue, 1992. "Data envelopment analysis and commercial bank performance: a primer with applications to Missouri banks," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 31-45.
    2. Richard S. BARR & Lawrence M. SEIFORD & Thomas F. SIEMS, 1994. "Forecasting Bank Failure : A Non-Parametric Frontier Estimation Approach," Discussion Papers (REL - Recherches Economiques de Louvain) 1994041, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    3. Allen N. Berger & David B. Humphrey, 1997. "Efficiency of Financial Institutions: International Survey and Directions for Future Research," Center for Financial Institutions Working Papers 97-05, Wharton School Center for Financial Institutions, University of Pennsylvania.
    4. Miller, Stephen M. & Noulas, Athanasios G., 1996. "The technical efficiency of large bank production," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 495-509, April.
    5. Yu, Tzong-shian, 1999. "The evolution of commercial banking and financial markets in Taiwan," Journal of Asian Economics, Elsevier, vol. 10(2), pages 291-307.
    6. Paul W. Bauer & Allen N. Berger & Gary D. Ferrier & David B. Humphrey, 1997. "Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods," Financial Services working paper 97-02, Federal Reserve Bank of Cleveland.
    7. Allen N. Berger & Robert DeYoung, 1997. "Problem loans and cost efficiency in commercial banks," Finance and Economics Discussion Series 1997-8, Board of Governors of the Federal Reserve System (U.S.).
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. William W. Cooper & Kyung Sam Park & Gang Yu, 1999. "IDEA and AR-IDEA: Models for Dealing with Imprecise Data in DEA," Management Science, INFORMS, vol. 45(4), pages 597-607, April.
    10. Thomas F. Siems, 1992. "Quantifying management's role in bank survival," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q I, pages 29-41.
    11. Brockett, P. L. & Charnes, A. & Cooper, W. W. & Huang, Z. M. & Sun, D. B., 1997. "Data transformations in DEA cone ratio envelopment approaches for monitoring bank performances," European Journal of Operational Research, Elsevier, vol. 98(2), pages 250-268, April.
    12. Mishkin, Frederic S., 1999. "Lessons from the Asian crisis," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 709-723, August.
    13. Kao, Chiang, 1994. "Efficiency improvement in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 73(3), pages 487-494, March.
    14. Rezvanian, Rasoul & Mehdian, Seyed, 2002. "An examination of cost structure and production performance of commercial banks in Singapore," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 79-98, January.
    15. Despotis, Dimitris K. & Smirlis, Yiannis G., 2002. "Data envelopment analysis with imprecise data," European Journal of Operational Research, Elsevier, vol. 140(1), pages 24-36, July.
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