IDEAS home Printed from https://ideas.repec.org/f/pfe222.html
   My authors  Follow this author

Guohua Feng

Personal Details

First Name:Guohua
Middle Name:
Last Name:Feng
Suffix:
RePEc Short-ID:pfe222

Affiliation

Department of Econometrics and Business Statistics
Monash Business School
Monash University

Melbourne, Australia
http://business.monash.edu/econometrics-and-business-statistics

: 03 990 52372
03 990 55474
Room 674, Menzies Building, Wellington Road, Clayton, Victoria, 3168
RePEc:edi:dxmonau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Guohua Feng & Apostolos Serletis, 2010. "A Primal Divisia Technical Change Index Based on the Output Distance Function," Monash Econometrics and Business Statistics Working Papers 7/10, Monash University, Department of Econometrics and Business Statistics.
  2. Guohua Feng & Apostolos Serletis, 2009. "Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity," Monash Econometrics and Business Statistics Working Papers 5/09, Monash University, Department of Econometrics and Business Statistics.
  3. Apostolos Serletis & Guohua Feng, "undated". "Imposing Theoretical Regularity on Flexible Functional Forms," Working Papers 2013-11, Department of Economics, University of Calgary.
  4. Guohua Feng & Apostolos Serletis, "undated". "Undesirable Outputs and a Primal Divisia Productivity Index Based on the Directional Output Distance Function," Working Papers 2013-15, Department of Economics, University of Calgary.

Articles

  1. Apostolos Serletis & Guohua Feng, 2015. "Imposing Theoretical Regularity on Flexible Functional Forms," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 198-227, February.
  2. Feng, Guohua & Serletis, Apostolos, 2014. "Undesirable outputs and a primal Divisia productivity index based on the directional output distance function," Journal of Econometrics, Elsevier, vol. 183(1), pages 135-146.
  3. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.
  4. Feng, Guohua & Zhang, Xiaohui, 2012. "Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1883-1895.
  5. Serletis, Apostolos & Feng, Guohua, 2010. "Semi-Nonparametric Estimates Of Currency Substitution Between The Canadian Dollar And The U.S. Dollar," Macroeconomic Dynamics, Cambridge University Press, vol. 14(01), pages 29-55, February.
  6. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
  7. Feng, Guohua & Serletis, Apostolos, 2010. "A primal Divisia technical change index based on the output distance function," Journal of Econometrics, Elsevier, vol. 159(2), pages 320-330, December.
  8. Guohua Feng & Apostolos Serletis, 2009. "Efficiency and productivity of the US banking industry, 1998-2005: evidence from the Fourier cost function satisfying global regularity conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 105-138.
  9. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Guohua Feng & Apostolos Serletis, 2009. "Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity," Monash Econometrics and Business Statistics Working Papers 5/09, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Wilko Bolt & David Humphrey, 2008. "Bank Competition Efficiency in Europe: A Frontier Approach," DNB Working Papers 194, Netherlands Central Bank, Research Department.
    2. Beccalli, Elena & Anolli, Mario & Borello, Giuliana, 2015. "Are European banks too big? evidence on economies of scale," LSE Research Online Documents on Economics 62936, London School of Economics and Political Science, LSE Library.
    3. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.
    4. Leonardo Gambacorta & Adrian Van Rixtel, 2013. "Structural bank regulation initiatives: approaches and implications," BIS Working Papers 412, Bank for International Settlements.
    5. Joseph P. Hughes & Loretta J. Mester, 2013. "Measuring the Performance of Banks: Theory, Practice, Evidence, and Some Policy Implications," Departmental Working Papers 201322, Rutgers University, Department of Economics.
    6. Spierdijka, Laura & Zaourasa, Michalis, 2018. "Measuring banks’ market power in the presence of economies of scale: A scale-corrected Lerner index," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 40-48.
    7. Beccalli, Elena & Anolli, Mario & Borello, Giuliana, 2015. "Are European banks too big? Evidence on economies of scale," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 232-246.
    8. Joseph P. Hughes & Loretta J. Mester, 2011. "Who said large banks don't experience scale economies? Evidence from a risk-return-driven cost function," Working Papers 11-27, Federal Reserve Bank of Philadelphia.
    9. Guohua Feng & Jiti Gao & Bin Peng & Xiaohui Zhang, 2015. "A Varying-Coefficient Panel Data Model with Fixed Effects: Theory and an Application to U.S. Commercial Banks," Monash Econometrics and Business Statistics Working Papers 9/15, Monash University, Department of Econometrics and Business Statistics.
    10. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    11. Breton, R. & Pinto, C. & Weber, P.F., 2012. "Banks, moral hazard, and public debts," Financial Stability Review, Banque de France, issue 16, pages 57-70, April.
    12. George Assaf, A. & Barros, Carlos P. & Matousek, Roman, 2011. "Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 331-342, February.
    13. Robert McKeown, 2017. "Costs, size and returns to scale among Canadian and U.S. commercial banks," Working Papers 1382, Queen's University, Department of Economics.
    14. Alireza Tamadonnejad & Aisyah Abdul-Rahman & Mariani Abdul-Majid & Mansor Jusoh, 2017. "The evaluation of East Asian banks by considering economic and political conditions as well as country risk," International Economics and Economic Policy, Springer, vol. 14(1), pages 27-41, January.
    15. David C. Wheelock & Paul W. Wilson, 2009. "Are U.S. banks too large?," Working Papers 2009-054, Federal Reserve Bank of St. Louis.
    16. Sameh Charfeddine Karray & Jamel eddine Chichti, 2013. "Bank Size and Efficiency in Developing Countries: Intermediation Approach versus Value Added Approach and Impact of Non-Traditional Activities," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(5), pages 593-613, May.
    17. Joseph P. Hughes, 2013. "The Elusive Scale Economies of the Largest Banks and Their Implications for Global Competitiveness," World Scientific Book Chapters,in: The Role of Central Banks in Financial Stability How Has It Changed?, chapter 17, pages 327-345 World Scientific Publishing Co. Pte. Ltd..
    18. Assaf, A. George & Josiassen, Alexander, 2012. "European vs. U.S. airlines: Performance comparison in a dynamic market," Tourism Management, Elsevier, vol. 33(2), pages 317-326.
    19. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
    20. Diego Restrepo-Tobón & Subal Kumbhakar & Kai Sun, 2015. "Obelix vs. Asterix: Size of US commercial banks and its regulatory challenge," Journal of Regulatory Economics, Springer, vol. 48(2), pages 125-168, October.
    21. Feng, Guohua & Zhang, Xiaohui, 2012. "Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1883-1895.
    22. Kersten Kellermann, 2011. "Too big to fail: a thorn in the side of free markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 38(3), pages 331-349, July.
    23. Boyd, John H. & Heitz, Amanda, 2016. "The social costs and benefits of too-big-to-fail banks: A “bounding” exercise," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 251-265.
    24. Portela, Maria C.A.S. & Thanassoulis, Emmanuel, 2010. "Malmquist-type indices in the presence of negative data: An application to bank branches," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1472-1483, July.
    25. Joseph P. Hughes & Loretta J. Mester, 2016. "The Future of Large, Internationally Active Banks: Does Scale Define the Winners?," World Scientific Book Chapters,in: The Future of Large, Internationally Active Banks, chapter 6, pages 77-96 World Scientific Publishing Co. Pte. Ltd..
    26. Ipatova, Irina, 2015. "The dynamics of total factor productivity and its components: Russian plastic production," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 21-40.
    27. Francisco Javier Sáez-Fernández & Andrés J. Picazo-Tadeo & Mercedes Beltrán-Esteve & Caroline Elliott, 2015. "Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006976-100, December.
    28. Robert McKeown, 2017. "Where are the economies of scale in Canadian banking?," Working Papers 1380, Queen's University, Department of Economics.
    29. Thorsten Beck & Michael Fuchs & Dorothe Singer & Makaio Witte, 2014. "Making Cross-Border Banking Work for Africa," World Bank Publications, The World Bank, number 20248, March.
    30. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
    31. Uluc Aysun, 2013. "Bank size and macroeconomic shock transmission: Are there economic volatility gains from shrinking large, too big to fail banks?," Working Papers 2013-02, University of Central Florida, Department of Economics.
    32. A. Wondemu Kifle, 2016. "Working Paper 237 - Decomposing Sources of Productivity Change in Small-Scale Farming in Ethiopia," Working Paper Series 2332, African Development Bank.
    33. Céline Meslier-Crouzille & Donald P. Morgan & Katherine Samolyk & Amine Tarazi, 2014. "The Benefits of Intrastate and Interstate Geographic Diversification in Banking," Working Papers hal-00950504, HAL.
    34. Emir Malikov & Diego Restrepo-Tobón & Subal Kumbhakar, 2015. "Estimation of banking technology under credit uncertainty," Empirical Economics, Springer, vol. 49(1), pages 185-211, August.
    35. Aysun, Uluc, 2016. "Bank size and macroeconomic shock transmission: Does the credit channel operate through large or small banks?," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 117-139.
    36. Hou, Xiaohui & Wang, Qing & Li, Cheng, 2015. "Role of off-balance sheet operations on bank scale economies: Evidence from China's banking sector," Emerging Markets Review, Elsevier, vol. 22(C), pages 140-153.
    37. Lijesen Mark G., 2013. "Solving the Endogeneity Problem in Empirical Cost Functions: An Application to US Banks," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 13(2), pages 1051-1070, September.
    38. Hryckiewicz, Aneta, 2014. "Originators, traders, neutrals, and traditioners – various banking business models across the globe. Does the business model matter for financial stability?," MPRA Paper 55118, University Library of Munich, Germany.
    39. Céline Meslier-Crouzille & Donald P. Morgan & Katherine Samolyk & Amine Tarazi, 2015. "The Benefits of Geographic Diversification in Banking," Working Papers hal-01155170, HAL.
    40. Kozubovska, Mariolia, 2017. "Breaking up big banks," Research in International Business and Finance, Elsevier, vol. 41(C), pages 198-219.
    41. Randall Kroszner, 2016. "A Review of Bank Funding Cost Differentials," Journal of Financial Services Research, Springer;Western Finance Association, vol. 49(2), pages 151-174, June.
    42. Diego Restrepo-Tobón & Subal Kumbhakar, 2015. "Nonparametric estimation of returns to scale using input distance functions: an application to large U.S. banks," Empirical Economics, Springer, vol. 48(1), pages 143-168, February.
    43. Asish Saha & Umakant Dash, 2016. "Consolidation in Indian banking: Does size matter?," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 223-238, September.
    44. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.
    45. Ipatova, Irina & Peresetsky, Аnatoly, 2013. "Technical efficiency of Russian plastic and rubber production firms," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 32(4), pages 71-92.

Articles

  1. Feng, Guohua & Serletis, Apostolos, 2014. "Undesirable outputs and a primal Divisia productivity index based on the directional output distance function," Journal of Econometrics, Elsevier, vol. 183(1), pages 135-146.
    See citations under working paper version above.
  2. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.

    Cited by:

    1. Hien Thu Pham & Shino Takayama, 2017. "Revisiting the “Missing Middle†: Productivity Analysis," Discussion Papers Series 580, School of Economics, University of Queensland, Australia.
    2. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    3. Spierdijka, Laura & Zaourasa, Michalis, 2018. "Measuring banks’ market power in the presence of economies of scale: A scale-corrected Lerner index," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 40-48.
    4. Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
    5. Robert McKeown, 2017. "Costs, size and returns to scale among Canadian and U.S. commercial banks," Working Papers 1382, Queen's University, Department of Economics.
    6. Hien Thu Pham & Shino Takayama, 2017. "Firm Size Distribution, Production Efficiency, and Returns to Scale: A Stochastic Frontier Approach," Discussion Papers Series 581, School of Economics, University of Queensland, Australia.
    7. Robert McKeown, 2017. "Where are the economies of scale in Canadian banking?," Working Papers 1380, Queen's University, Department of Economics.
    8. Mamatzakis, Emmanuel & Zhang, Xiaoxiang & Wang, Chaoke, 2016. "Invisible hand discipline from informed trading: Does market discipline from trading affect bank capital structure?," MPRA Paper 76215, University Library of Munich, Germany.
    9. Galán, Jorge & Ramos, Sofía B. & Veiga, Helena, 2015. "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS ws1517, Universidad Carlos III de Madrid. Departamento de Estadística.

  3. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January. See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EFF: Efficiency & Productivity (3) 2009-07-17 2010-04-17 2013-09-28
  2. NEP-BAN: Banking (1) 2009-07-17

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Guohua Feng should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.