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Measuring bank performance with a dynamic network Luenberger indicator

Author

Listed:
  • Hirofumi Fukuyama

    (Fukuoka University)

  • William L. Weber

    (Southeast Missouri State University)

Abstract

We construct and estimate a dynamic network Luenberger productivity indicator for Japanese banks during fiscal years 2006–2012. The network aspect to the model recognizes that banks produce deposits in the first stage of production using inputs such as labor, physical capital, and equity capital and then in the second stage use those deposits to generate a portfolio of loans and securities investments. Because of asymmetric information between borrower and lender and uncertainty about the future state of the economy the second stage of production also generates an undesirable by-product: some loans become nonperforming. The dynamic aspect to the model recognizes that nonperforming loans generated in one period will typically constrain production in a subsequent period. Moreover, bank managers have discretion over when to transform deposits into the portfolio of loans and investments so that when faced with a high risk lending environment managers can choose to save some deposits as excess reserves for use in a subsequent period when they anticipate a more favorable lending environment.

Suggested Citation

  • Hirofumi Fukuyama & William L. Weber, 2017. "Measuring bank performance with a dynamic network Luenberger indicator," Annals of Operations Research, Springer, vol. 250(1), pages 85-104, March.
  • Handle: RePEc:spr:annopr:v:250:y:2017:i:1:d:10.1007_s10479-015-1922-5
    DOI: 10.1007/s10479-015-1922-5
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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, September.
    2. Hirofumi Fukuyama & William L. Weber, 2012. "Estimating Two-Stage Network Technology Inefficiency: An Application to Cooperative Shinkin Banks in Japan," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 3(2), pages 1-23, April.
    3. Rolf Färe & Shawna Grosskopf & Gerald Whittaker, 2014. "Network DEA II," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 307-327, Springer.
    4. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
    5. Hirofumi Fukuyama & William Weber, 2015. "Measuring Japanese bank performance: a dynamic network DEA approach," Journal of Productivity Analysis, Springer, vol. 44(3), pages 249-264, December.
    6. Chen, Yao & Cook, Wade D. & Zhu, Joe, 2010. "Deriving the DEA frontier for two-stage processes," European Journal of Operational Research, Elsevier, vol. 202(1), pages 138-142, April.
    7. Chien Wang & Ram Gopal & Stanley Zionts, 1997. "Use of Data Envelopment Analysis in assessing Information Technology impact on firm performance," Annals of Operations Research, Springer, vol. 73(0), pages 191-213, October.
    8. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    9. Joe Zhu, 2014. "Envelopment DEA Models," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 2, pages 11-48, Springer.
    10. Azad, A.S.M. Sohel & Yasushi, Suzuki & Fang, Victor & Ahsan, Amirul, 2014. "Impact of policy changes on the efficiency and returns-to-scale of Japanese financial institutions: An evaluation," Research in International Business and Finance, Elsevier, vol. 32(C), pages 159-171.
    11. Park, Kang H. & Weber, William L., 2006. "A note on efficiency and productivity growth in the Korean Banking Industry, 1992-2002," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2371-2386, August.
    12. Fukuyama, Hirofumi & Weber, William L., 2010. "A slacks-based inefficiency measure for a two-stage system with bad outputs," Omega, Elsevier, vol. 38(5), pages 398-409, October.
    13. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    14. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    15. Mircea Epure & Esteban Lafuente, 2015. "Monitoring bank performance in the presence of risk," Journal of Productivity Analysis, Springer, vol. 44(3), pages 265-281, December.
    16. Eliana Balla & Jessica Sackett Romero & Morgan J. Rose, 2012. "Loan loss reserve accounting and bank behavior," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue Mar.
    17. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    18. E. Grigoroudis & E. Tsitsiridi & C. Zopounidis, 2013. "Linking customer satisfaction, employee appraisal, and business performance: an evaluation methodology in the banking sector," Annals of Operations Research, Springer, vol. 205(1), pages 5-27, May.
    19. Pastor, Jesús T. & Asmild, Mette & Lovell, C.A. Knox, 2011. "The biennial Malmquist productivity change index," Socio-Economic Planning Sciences, Elsevier, vol. 45(1), pages 10-15, March.
    20. Kao, Chiang & Hwang, Shiuh-Nan, 2014. "Multi-period efficiency and Malmquist productivity index in two-stage production systems," European Journal of Operational Research, Elsevier, vol. 232(3), pages 512-521.
    21. Berg, Sigbjorn Atle & Forsund, Finn R & Jansen, Eilev S, 1992. " Malmquist Indices of Productivity Growth during the Deregulation of Norwegian Banking, 1980-89," Scandinavian Journal of Economics, Wiley Blackwell, vol. 94(0), pages 211-228, Supplemen.
    22. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    23. Lorenzo Castelli & Raffaele Pesenti, 2014. "Network, Shared Flow and Multi-level DEA Models: A Critical Review," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 329-376, Springer.
    24. J. Colin Glass & Donal G. McKillop & Barry Quinn & John Wilson, 2014. "Cooperative bank efficiency in Japan: a parametric distance function analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 20(3), pages 291-317, March.
    25. Rangan, Nanda & Grabowski, Richard & Aly, Hassan Y. & Pasurka, Carl, 1988. "The technical efficiency of US banks," Economics Letters, Elsevier, vol. 28(2), pages 169-175.
    26. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    27. Mohsen Afsharian & Heinz Ahn, 2015. "The overall Malmquist index: a new approach for measuring productivity changes over time," Annals of Operations Research, Springer, vol. 226(1), pages 1-27, March.
    28. Fukuyama, Hirofumi, 1996. "Returns to scale and efficiency of credit associations in Japan: A nonparametric frontier approach," Japan and the World Economy, Elsevier, vol. 8(3), pages 259-277, September.
    29. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    30. Avkiran, Necmi K., 2009. "Removing the impact of environment with units-invariant efficient frontier analysis: An illustrative case study with intertemporal panel data," Omega, Elsevier, vol. 37(3), pages 535-544, June.
    31. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    32. Rolf Färe & Shawna Grosskopf & Dimitris Margaritis, 2011. "Malmquist Productivity Indexes and DEA," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 127-149, Springer.
    33. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    34. Tatsuyoshi Miyakoshi & Yoshihiko Tsukuda, 2004. "The causes of the long stagnation in Japan," Applied Financial Economics, Taylor & Francis Journals, vol. 14(2), pages 113-120.
    35. Akther, Syed & Fukuyama, Hirofumi & Weber, William L., 2013. "Estimating two-stage network Slacks-based inefficiency: An application to Bangladesh banking," Omega, Elsevier, vol. 41(1), pages 88-96.
    36. Walter Briec & Kristiaan Kerstens, 2004. "A Luenberger-Hicks-Moorsteen productivity indicator: its relation to the Hicks-Moorsteen productivity index and the Luenberger productivity indicator," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 23(4), pages 925-939, May.
    37. Cook, Wade D. & Liang, Liang & Zhu, Joe, 2010. "Measuring performance of two-stage network structures by DEA: A review and future perspective," Omega, Elsevier, vol. 38(6), pages 423-430, December.
    38. Michael R. Jonas & Sharmila K. King, 2008. "Bank Efficiency And The Effectiveness Of Monetary Policy," Contemporary Economic Policy, Western Economic Association International, vol. 26(4), pages 579-589, October.
    39. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    40. Robert G. Chambers, 2002. "Exact nonradial input, output, and productivity measurement," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 20(4), pages 751-765.
    41. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
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