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John Watson

Personal Details

First Name:John
Middle Name:
Last Name:Watson
Suffix:
RePEc Short-ID:pwa673
http://www.monash.edu.au/research/people/profiles/profile.html?sid=4516&pid=3629

Affiliation

Department of Banking and Finance
Monash Business School
Monash University

Caulfield, Australia
http://business.monash.edu/banking-and-finance
RePEc:edi:dfmonau (more details at EDIRC)

Research output

as
Jump to: Articles Chapters

Articles

  1. Galagedera, Don U.A. & Fukuyama, Hirofumi & Watson, John & Tan, Eric K.M., 2020. "Do mutual fund managers earn their fees? New measures for performance appraisal," European Journal of Operational Research, Elsevier, vol. 287(2), pages 653-667.
  2. Maria Strydom & Amale Scally & John Watson, 2019. "Impact of mood and gender on individual investors’ reactions to retractions and corrections of earnings forecasts," Applied Economics, Taylor & Francis Journals, vol. 51(9), pages 941-955, February.
  3. Yuchen Wang & John Watson & Jayasinghe Wickramanayake, 2018. "The global financial crisis and the mutual fund flow–performance relationship," The World Economy, Wiley Blackwell, vol. 41(11), pages 3172-3193, November.
  4. Galagedera, Don U.A. & Watson, John & Premachandra, I.M. & Chen, Yao, 2016. "Modeling leakage in two-stage DEA models: An application to US mutual fund families," Omega, Elsevier, vol. 61(C), pages 62-77.
  5. John Watson & James Delaney & Michael Dempsey & J. Wickramanayake, 2016. "Australian superannuation (pension) fund product ratings and performance: A guide for fund managers," Australian Journal of Management, Australian School of Business, vol. 41(2), pages 189-211, May.
  6. Don U. A. Galagedera & John Watson, 2015. "Benchmarking superannuation funds based on relative performance," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2959-2973, June.
  7. Premachandra, I.M. & Zhu, Joe & Watson, John & Galagedera, Don U.A., 2012. "Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3302-3317.
  8. Watson, John & Wickramanayake, J., 2012. "The relationship between aggregate managed fund flows and share market returns in Australia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 451-472.
  9. Premachandra, I.M. & Chen, Yao & Watson, John, 2011. "DEA as a tool for predicting corporate failure and success: A case of bankruptcy assessment," Omega, Elsevier, vol. 39(6), pages 620-626, December.
  10. Rod Lambert & Kevin Tant & John Watson, 2008. "Simulated financial dealing room: learning discovery and student accountability," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(3), pages 461-474, September.
  11. Balasingham Balachandran & Michael Skully & Kevin Tant & John Watson, 2006. "Australian evidence on student expectations and perceptions of introductory business finance," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(5), pages 697-713, December.
    RePEc:eme:mfipps:v:37:y:2011:i:2:p:94-116 is not listed on IDEAS

Chapters

  1. I. M. Premachandra & Joe Zhu & John Watson & Don U. A. Galagedera, 2016. "Mutual Fund Industry Performance: A Network Data Envelopment Analysis Approach," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 165-228, Springer.

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.

Articles

  1. Galagedera, Don U.A. & Fukuyama, Hirofumi & Watson, John & Tan, Eric K.M., 2020. "Do mutual fund managers earn their fees? New measures for performance appraisal," European Journal of Operational Research, Elsevier, vol. 287(2), pages 653-667.

    Cited by:

    1. Pejman Peykani & Ali Emrouznejad & Emran Mohammadi & Jafar Gheidar-Kheljani, 2024. "A novel robust network data envelopment analysis approach for performance assessment of mutual funds under uncertainty," Annals of Operations Research, Springer, vol. 339(3), pages 1149-1175, August.
    2. Lin, Sheng-Wei & Lu, Wen-Min, 2024. "Discretionary investment managers evaluation in pension fund: Shared input dynamic network DEA approach," Omega, Elsevier, vol. 127(C).
    3. Magni, Carlo Alberto & Marchioni, Andrea & Baschieri, Davide, 2023. "The Attribution Matrix and the joint use of Finite Change Sensitivity Index and Residual Income for value-based performance measurement," European Journal of Operational Research, Elsevier, vol. 306(2), pages 872-892.
    4. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K. & Kritikos, Manolis N., 2022. "Fair efficiency decomposition in network DEA: A compromise programming approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).

  2. Yuchen Wang & John Watson & Jayasinghe Wickramanayake, 2018. "The global financial crisis and the mutual fund flow–performance relationship," The World Economy, Wiley Blackwell, vol. 41(11), pages 3172-3193, November.

    Cited by:

    1. J. Alsubaiei, Bader & Calice, Giovanni & Vivian, Andrew, 2021. "Sovereign CDS and mutual funds: Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    2. Alsubaiei, Bader Jawid & Calice, Giovanni & Vivian, Andrew, 2024. "How does oil market volatility impact mutual fund performance?," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1601-1621.
    3. Yaping Xiao & Haishu Qiao & Ting Xie, 2019. "Open-End Funds for Sustainable Economic Growth in China: The Relationship between Load Fees, Performance, and Flows," Sustainability, MDPI, vol. 11(22), pages 1-27, November.

  3. Galagedera, Don U.A. & Watson, John & Premachandra, I.M. & Chen, Yao, 2016. "Modeling leakage in two-stage DEA models: An application to US mutual fund families," Omega, Elsevier, vol. 61(C), pages 62-77.

    Cited by:

    1. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.
    2. H. Pierre Hsieh & Imen Tebourbi & Wen‐Min Lu & Nai‐Yu Liu, 2020. "Mutual fund performance: The decision quality and capital magnet efficiencies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 861-872, July.
    3. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    4. Galagedera, Don U.A., 2019. "Modelling social responsibility in mutual fund performance appraisal: A two-stage data envelopment analysis model with non-discretionary first stage output," European Journal of Operational Research, Elsevier, vol. 273(1), pages 376-389.
    5. Lartey, Theophilus & James, Gregory A. & Danso, Albert, 2021. "Interbank funding, bank risk exposure and performance in the UK: A three-stage network DEA approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    6. Hsiao-Yen Mao & Wen-Min Lu & Hsin-Yen Shieh, 2023. "Exploring the Influence of Environmental Investment on Multinational Enterprises’ Performance from the Sustainability and Marketability Efficiency Perspectives," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    7. Lin, Tzu-Yu & Chiu, Sheng-Hsiung & Yang, Hai-Lan, 2022. "Performance evaluation for regional innovation systems development in China based on the two-stage SBM-DNDEA model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    8. Ioannis E. Tsolas, 2020. "Precious Metal Mutual Fund Performance Evaluation: A Series Two-Stage DEA Modeling Approach," JRFM, MDPI, vol. 13(5), pages 1-13, April.
    9. Galagedera, Don U.A. & Fukuyama, Hirofumi & Watson, John & Tan, Eric K.M., 2020. "Do mutual fund managers earn their fees? New measures for performance appraisal," European Journal of Operational Research, Elsevier, vol. 287(2), pages 653-667.
    10. Lim, Sungmook & Zhu, Joe, 2019. "Primal-dual correspondence and frontier projections in two-stage network DEA models," Omega, Elsevier, vol. 83(C), pages 236-248.
    11. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
    12. Galagedera, Don U.A. & Roshdi, Israfil & Fukuyama, Hirofumi & Zhu, Joe, 2018. "A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds," Omega, Elsevier, vol. 77(C), pages 168-179.
    13. Pejman Peykani & Ali Emrouznejad & Emran Mohammadi & Jafar Gheidar-Kheljani, 2024. "A novel robust network data envelopment analysis approach for performance assessment of mutual funds under uncertainty," Annals of Operations Research, Springer, vol. 339(3), pages 1149-1175, August.
    14. Lin, Sheng-Wei & Lu, Wen-Min, 2024. "Discretionary investment managers evaluation in pension fund: Shared input dynamic network DEA approach," Omega, Elsevier, vol. 127(C).
    15. Mohammad Nourani & Qian Long Kweh & Wen-Min Lu & Ikhlaas Gurrib, 2022. "Operational and investment efficiency of investment trust companies: Do foreign firms outperform domestic firms?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    16. Fang, Lei, 2020. "Stage efficiency evaluation in a two-stage network data envelopment analysis model with weight priority," Omega, Elsevier, vol. 97(C).
    17. Zhou, Zhongbao & Xiao, Helu & Jin, Qianying & Liu, Wenbin, 2018. "DEA frontier improvement and portfolio rebalancing: An application of China mutual funds on considering sustainability information disclosure," European Journal of Operational Research, Elsevier, vol. 269(1), pages 111-131.

  4. John Watson & James Delaney & Michael Dempsey & J. Wickramanayake, 2016. "Australian superannuation (pension) fund product ratings and performance: A guide for fund managers," Australian Journal of Management, Australian School of Business, vol. 41(2), pages 189-211, May.

    Cited by:

    1. Daniel Chiew & Judy Qiu & Sirimon Treepongkaruna & Jiping Yang & Chenxiao Shi, 2019. "The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-22, April.
    2. Michael J. O'Neill & Geoffrey J. Warren, 2019. "Evaluating fund capacity: issues and methods," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S1), pages 773-800, April.
    3. Michael J O’Neill & Zhangxin (Frank) Liu, 2016. "Tail risk hedging for mutual funds using equity market state prices," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 687-698, November.
    4. Michael O'Neill & Gulasekaran Rajaguru, 2020. "A response surface analysis of critical values for the lead‐lag ratio with application to high frequency and non‐synchronous financial data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3979-3990, December.

  5. Don U. A. Galagedera & John Watson, 2015. "Benchmarking superannuation funds based on relative performance," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2959-2973, June.

    Cited by:

    1. Pascalis Seran & Usil Sis Sucahyo & Apriani Dorkas Rambu Atahau & Supramono Supramono, 2022. "Investigating the Efficiency of Indonesian Employee Pension Funds," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 25(83), pages 74-87, June.
    2. Bošković Aleksandra & Krstić Ana, 2020. "The Combined Use of Balanced Scorecard and Data Envelopment Analysis in the Banking Industry," Business Systems Research, Sciendo, vol. 11(1), pages 4-15, March.

  6. Premachandra, I.M. & Zhu, Joe & Watson, John & Galagedera, Don U.A., 2012. "Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3302-3317.

    Cited by:

    1. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.
    2. H. Pierre Hsieh & Imen Tebourbi & Wen‐Min Lu & Nai‐Yu Liu, 2020. "Mutual fund performance: The decision quality and capital magnet efficiencies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 861-872, July.
    3. Galagedera, Don U.A., 2014. "Modeling risk concerns and returns preferences in performance appraisal: An application to global equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 400-416.
    4. Chiang Kao & Shiang-Tai Liu, 2022. "Stochastic efficiencies of network production systems with correlated stochastic data: the case of Taiwanese commercial banks," Annals of Operations Research, Springer, vol. 315(2), pages 1151-1174, August.
    5. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    6. Don U. A. Galagedera & John Watson, 2015. "Benchmarking superannuation funds based on relative performance," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2959-2973, June.
    7. Galagedera, Don U.A., 2019. "Modelling social responsibility in mutual fund performance appraisal: A two-stage data envelopment analysis model with non-discretionary first stage output," European Journal of Operational Research, Elsevier, vol. 273(1), pages 376-389.
    8. Kao, Chiang, 2014. "Efficiency decomposition for general multi-stage systems in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 232(1), pages 117-124.
    9. Galagedera, Don U.A. & Watson, John & Premachandra, I.M. & Chen, Yao, 2016. "Modeling leakage in two-stage DEA models: An application to US mutual fund families," Omega, Elsevier, vol. 61(C), pages 62-77.
    10. Pinto, Claudio, 2018. "Performances management when modelling internal structure," MPRA Paper 87923, University Library of Munich, Germany.
    11. Andreu, Laura & Serrano, Miguel & Vicente, Luis, 2019. "Efficiency of mutual fund managers: A slacks-based manager efficiency index," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1180-1193.
    12. Volkan Soner Özsoy & Mediha Örkcü & H. Hasan Örkcü, 2021. "A minimax approach for selecting the overall and stage-level most efficient unit in two stage production processes," Annals of Operations Research, Springer, vol. 300(1), pages 137-169, May.
    13. Pablo Solórzano-Taborga & Ana Belén Alonso-Conde & Javier Rojo-Suárez, 2020. "Data Envelopment Analysis and Multifactor Asset Pricing Models," IJFS, MDPI, vol. 8(2), pages 1-18, April.
    14. Hsiao-Yen Mao & Wen-Min Lu & Hsin-Yen Shieh, 2023. "Exploring the Influence of Environmental Investment on Multinational Enterprises’ Performance from the Sustainability and Marketability Efficiency Perspectives," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    15. Isabelle Piot-Lepetit & Joseph Nzongang, 2021. "Business analytics for managing performance of microfinance Institutions: A flexible management of the implementation process," Post-Print hal-03209188, HAL.
    16. Ruiyue Lin & Zhiping Chen & Qianhui Hu & Zongxin Li, 2017. "Dynamic network DEA approach with diversification to multi-period performance evaluation of funds," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 821-860, July.
    17. Sevgi Eda Tuzcu & Emrah Ertugay, 2020. "Is size an input in the mutual fund performance evaluation with DEA?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(4), pages 635-659, December.
    18. Sánchez-González, Carlos & Sarto, José Luis & Vicente, Luis, 2017. "The efficiency of mutual fund companies: Evidence from an innovative network SBM approach," Omega, Elsevier, vol. 71(C), pages 114-128.
    19. Vassilios Babalos & Michael Doumpos & Nikolaos Philippas & Constantin Zopounidis, 2015. "Towards a Holistic Approach for Mutual Fund Performance Appraisal," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 35-53, June.
    20. Ioannis E. Tsolas, 2020. "Precious Metal Mutual Fund Performance Evaluation: A Series Two-Stage DEA Modeling Approach," JRFM, MDPI, vol. 13(5), pages 1-13, April.
    21. Ioannis E. Tsolas, 2020. "The Determinants of the Performance of Precious Metal Mutual Funds," JRFM, MDPI, vol. 13(11), pages 1-10, November.
    22. Fang-Chen Kao & Irene Wei Kiong Ting & Han-Chung Chou & Yi-Sung Liu, 2022. "Exploring the Influence of Corporate Social Responsibility on Efficiency: An Extended Dynamic Data Envelopment Analysis of the Global Airline Industry," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    23. Chiu, Ching-Ren & Chiu, Yung-Ho & Chen, Yu-Chuan & Fang, Chen-Ling, 2016. "Exploring the source of metafrontier inefficiency for various bank types in the two-stage network system with undesirable output," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 1-13.
    24. Isabelle Piot-Lepetit & Joseph Nzongang, 2021. "Business Analytics for Managing Performance of Microfinance Institutions: A Flexible Management of the Implementation Process," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    25. Galagedera, Don U.A. & Fukuyama, Hirofumi & Watson, John & Tan, Eric K.M., 2020. "Do mutual fund managers earn their fees? New measures for performance appraisal," European Journal of Operational Research, Elsevier, vol. 287(2), pages 653-667.
    26. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
    27. Antonella Basso & Stefania Funari, 2017. "The role of fund size in the performance of mutual funds assessed with DEA models," The European Journal of Finance, Taylor & Francis Journals, vol. 23(6), pages 457-473, May.
    28. Li, Yongjun & Lei, Xiyang & Dai, Qianzhi & Liang, Liang, 2015. "Performance evaluation of participating nations at the 2012 London Summer Olympics by a two-stage data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 243(3), pages 964-973.
    29. Paskalis Seran & Usil Sis Sucahyo & Apriani Dorkas Rambu Atahau & Supramono Supramono, 2023. "The Efficiency of Indonesian Pension Funds: A Two-Stage Additive Network DEA Approach," IJFS, MDPI, vol. 11(1), pages 1-19, February.
    30. Galagedera, Don U.A. & Roshdi, Israfil & Fukuyama, Hirofumi & Zhu, Joe, 2018. "A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds," Omega, Elsevier, vol. 77(C), pages 168-179.
    31. Pejman Peykani & Ali Emrouznejad & Emran Mohammadi & Jafar Gheidar-Kheljani, 2024. "A novel robust network data envelopment analysis approach for performance assessment of mutual funds under uncertainty," Annals of Operations Research, Springer, vol. 339(3), pages 1149-1175, August.
    32. Babalos, Vassilios & Mamatzakis, Emmanuel C. & Matousek, Roman, 2015. "The performance of US equity mutual funds," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 217-229.
    33. Qingyou Yan & Youwei Wan & Jingye Yuan & Jieting Yin & Tomas Baležentis & Dalia Streimikiene, 2017. "Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities," Energies, MDPI, vol. 10(9), pages 1-19, September.
    34. 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.
    35. Xionghe Qin & Debin Du & Mei-Po Kwan, 2019. "Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 721-747, May.
    36. Lu, Wen-Min & Liu, John S. & Kweh, Qian Long & Wang, Chung-Wei, 2016. "Exploring the benchmarks of the Taiwanese investment trust corporations: Management and investment efficiency perspectives," European Journal of Operational Research, Elsevier, vol. 248(2), pages 607-618.
    37. An, Qingxian & Yan, Hong & Wu, Jie & Liang, Liang, 2016. "Internal resource waste and centralization degree in two-stage systems: An efficiency analysis," Omega, Elsevier, vol. 61(C), pages 89-99.
    38. Mohammad Nourani & Qian Long Kweh & Wen-Min Lu & Ikhlaas Gurrib, 2022. "Operational and investment efficiency of investment trust companies: Do foreign firms outperform domestic firms?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    39. Zhou, Zhongbao & Xiao, Helu & Jin, Qianying & Liu, Wenbin, 2018. "DEA frontier improvement and portfolio rebalancing: An application of China mutual funds on considering sustainability information disclosure," European Journal of Operational Research, Elsevier, vol. 269(1), pages 111-131.

  7. Watson, John & Wickramanayake, J., 2012. "The relationship between aggregate managed fund flows and share market returns in Australia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 451-472.

    Cited by:

    1. Chang, Chia-Lin & Ke, Yu-Pei, 2014. "Testing Price Pressure, Information, Feedback Trading, and Smoothing Effects for Energy Exchange Traded Funds," MPRA Paper 57625, University Library of Munich, Germany.
    2. Nikolaos Antonakakis & Tsangyao Chang & Juncal Cunado & Rangan Gupta, 2016. "The Relationship between Commodity Markets and Commodity Mutual Funds: A Wavelet-Based Analysis," Working Papers 201619, University of Pretoria, Department of Economics.
    3. Vassilios Babalos & Guglielmo Maria Caporale & Nicola Spagnolo, 2016. "Equity Fund Flows and Stock Market Returns in the US before and after the Global Financial Crisis: A VAR-GARCH-in-mean Analysis," CESifo Working Paper Series 5932, CESifo.
    4. Alexakis, Christos & Dasilas, Apostolos & Grose, Chris, 2013. "Asymmetric dynamic relations between stock prices and mutual fund units in Japan. An application of hidden cointegration technique," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 1-8.
    5. Luo Wang & Bin Li & Benjamin Liu, 2017. "Can Macroeconomic Variables Explain Managed Fund Returns? The Australian Case," Economic Papers, The Economic Society of Australia, vol. 36(2), pages 171-184, June.
    6. Qureshi, Fiza & Kutan, Ali M. & Ismail, Izlin & Gee, Chan Sok, 2017. "Mutual funds and stock market volatility: An empirical analysis of Asian emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 176-192.
    7. Yue Meinn GOH & Ros Zam Zam SAPIAN, 2017. "Return, Volatility And Fund Flows Linkages: Malaysian Evidence," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(2), pages 59-69, November.

  8. Premachandra, I.M. & Chen, Yao & Watson, John, 2011. "DEA as a tool for predicting corporate failure and success: A case of bankruptcy assessment," Omega, Elsevier, vol. 39(6), pages 620-626, December.

    Cited by:

    1. Apostolos G. Christopoulos & Ioannis G. Dokas & Iraklis Kollias & John Leventides, 2019. "An implementation of Soft Set Theory in the Variables Selection Process for Corporate Failure Prediction Models. Evidence from NASDAQ Listed Firms," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 1-20.
    2. Jeong-Hun Sin, 2020. "A study on the financial efficiency analysis method by redesigning the DEA model," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 347-363, June.
    3. Jarmila Horváthová & Martina Mokrišová, 2018. "Risk of Bankruptcy, Its Determinants and Models," Risks, MDPI, vol. 6(4), pages 1-22, October.
    4. Li, Yongjun & Wang, Lizheng & Li, Feng, 2021. "A data-driven prediction approach for sports team performance and its application to National Basketball Association," Omega, Elsevier, vol. 98(C).
    5. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    6. Mohammadian, Isaac & Jahangoshai Rezaee, Mustafa, 2020. "A new decomposition and interpretation of Hicks-Moorsteen productivity index for analysis of Stock Exchange companies: Case study on pharmaceutical industry," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    7. Sam Ngwenya, 2018. "Assessing the State of Financial Distress of Listed Gold and Platinum Mining Companies in South Africa," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 14(4), pages 655-677, AUGUST.
    8. P. Beraldi & M. E. Bruni, 2020. "Efficiency evaluation under uncertainty: a stochastic DEA approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 519-538, December.
    9. Şaban Çelik, 2013. "Micro Credit Risk Metrics: A Comprehensive Review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(4), pages 233-272, October.
    10. Ioannis E. Tsolas, 2021. "Firm Credit Scoring: A Series Two-Stage DEA Bootstrapped Approach," JRFM, MDPI, vol. 14(5), pages 1-12, May.
    11. Yang, Xiaopeng & Morita, Hiroshi, 2013. "Efficiency improvement from multiple perspectives: An application to Japanese banking industry," Omega, Elsevier, vol. 41(3), pages 501-509.
    12. Zhiyong Li & Chen Feng & Ying Tang, 2022. "Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis," Annals of Operations Research, Springer, vol. 315(1), pages 279-315, August.
    13. Carlos Serrano-Cinca & Y. Fuertes-Callén & Begoña Gutiérrez-Nieto & B. Cuéllar-Fernández, 2011. "Path modeling to bankruptcy: causes and symptoms of the banking crisis," Working Papers CEB 11-007, ULB -- Universite Libre de Bruxelles.
    14. Jie Sun, 2012. "Integration Of Random Sample Selection, Support Vector Machines And Ensembles For Financial Risk Forecasting With An Empirical Analysis On The Necessity Of Feature Selection," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 229-246, October.
    15. Salvatore Loprevite & Domenico Raucci & Daniela Rupo, 2020. "KPIs Reporting and Financial Performance in the Transition to Mandatory Disclosure: The Case of Italy," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    16. Peng, Yi & Kou, Gang & Wang, Guoxun & Shi, Yong, 2011. "FAMCDM: A fusion approach of MCDM methods to rank multiclass classification algorithms," Omega, Elsevier, vol. 39(6), pages 677-689, December.
    17. Salwa Kessioui & Michalis Doumpos & Constantin Zopounidis, 2023. "A Bibliometric Overview of the State-of-the-Art in Bankruptcy Prediction Methods and Applications," World Scientific Book Chapters, in: Emilios Galariotis & Alexandros Garefalakis & Christos Lemonakis & Marios Menexiadis & Constantin Zo (ed.), Governance and Financial Performance Current Trends and Perspectives, chapter 6, pages 123-153, World Scientific Publishing Co. Pte. Ltd..
    18. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
    19. Li Huang & Jian Huang & Wei Wang, 2018. "The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network," IJERPH, MDPI, vol. 15(1), pages 1-15, January.
    20. Róbert Štefko & Jarmila Horváthová & Martina Mokrišová, 2021. "The Application of Graphic Methods and the DEA in Predicting the Risk of Bankruptcy," JRFM, MDPI, vol. 14(5), pages 1-19, May.
    21. You, Yan Q. & Jie, Tao, 2016. "A study of the operation efficiency and cost performance indices of power-supply companies in China based on a dynamic network slacks-based measure model," Omega, Elsevier, vol. 60(C), pages 85-97.
    22. Chen, Yao & Du, Juan & Huo, Jiazhen, 2013. "Super-efficiency based on a modified directional distance function," Omega, Elsevier, vol. 41(3), pages 621-625.
    23. Tone, Kaoru & Kweh, Qian Long & Lu, Wen-Min & Ting, Irene Wei Kiong, 2019. "Modeling investments in the dynamic network performance of insurance companies," Omega, Elsevier, vol. 88(C), pages 237-247.
    24. Zhang, Faming & Tadikamalla, Pandu R. & Shang, Jennifer, 2016. "Corporate credit-risk evaluation system: Integrating explicit and implicit financial performances," International Journal of Production Economics, Elsevier, vol. 177(C), pages 77-100.
    25. Misankova Maria & Zvarikova Katarina & Kliestikova Jana, 2017. "Bankruptcy Practice in Countries of Visegrad Four," Economics and Culture, Sciendo, vol. 14(1), pages 108-118, June.
    26. Sahoo, Biresh K. & Tone, Kaoru, 2013. "Non-parametric measurement of economies of scale and scope in non-competitive environment with price uncertainty," Omega, Elsevier, vol. 41(1), pages 97-111.
    27. Edelstein, Barak & Paradi, Joseph C., 2013. "Ensuring units invariant slack selection in radial data envelopment analysis models, and incorporating slacks into an overall efficiency score," Omega, Elsevier, vol. 41(1), pages 31-40.
    28. Xinzhong Bao & Qiuyan Tao & Hongyu Fu, 2015. "Dynamic financial distress prediction based on Kalman filtering," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(2), pages 292-308, February.
    29. Jamal Ouenniche & Kaoru Tone, 2017. "An out-of-sample evaluation framework for DEA with application in bankruptcy prediction," Annals of Operations Research, Springer, vol. 254(1), pages 235-250, July.
    30. Róbert Štefko & Jarmila Horváthová & Martina Mokrišová, 2020. "Bankruptcy Prediction with the Use of Data Envelopment Analysis: An Empirical Study of Slovak Businesses," JRFM, MDPI, vol. 13(9), pages 1-15, September.
    31. Mohammad Mahdi Mousavi & Jamal Ouenniche, 2018. "Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions," Annals of Operations Research, Springer, vol. 271(2), pages 853-886, December.
    32. Alex Kim & Sangwon Yoon, 2023. "Corporate Bankruptcy Prediction with Domain-Adapted BERT," Papers 2312.03194, arXiv.org.
    33. Li, Yongjun & Chen, Yao & Liang, Liang & Xie, Jianhui, 2012. "DEA models for extended two-stage network structures," Omega, Elsevier, vol. 40(5), pages 611-618.
    34. Liu, Wenbin & Zhou, Zhongbao & Liu, Debin & Xiao, Helu, 2015. "Estimation of portfolio efficiency via DEA," Omega, Elsevier, vol. 52(C), pages 107-118.
    35. Ayoola Tajudeen John & Obokoh Lawrence Ogechukwu, 2018. "Corporate Governance and Financial Distress in the Banking Industry: Nigerian Experience," Journal of Economics and Behavioral Studies, AMH International, vol. 10(1), pages 182-193.
    36. Du, Juan & Chen, Yao & Huo, Jiazhen, 2015. "DEA for non-homogenous parallel networks," Omega, Elsevier, vol. 56(C), pages 122-132.
    37. Bruno Ricca & Massimiliano Ferrara & Salvatore Loprevite, 2023. "Searching for an effective accounting-based score of firm performance: a comparative study between different synthesis techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3575-3602, August.

  9. Rod Lambert & Kevin Tant & John Watson, 2008. "Simulated financial dealing room: learning discovery and student accountability," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(3), pages 461-474, September.

    Cited by:

    1. Hall, Matthew, 2010. "Accounting information and managerial work," LSE Research Online Documents on Economics 28539, London School of Economics and Political Science, LSE Library.
    2. Ahmad Saleem Tarawneh, 2018. "The Impact of Using Computer Applications Programs as a Tool in Accounting Education on the Performance of the Students of Financial Accounting Course," International Review of Management and Marketing, Econjournals, vol. 8(4), pages 56-64.
    3. Jingyuan Fu & Meng Sun & Minhong Wang, 2022. "Simulation-Assisted Learning about a Complex Economic System: Impact on Low- and High-Achieving Students," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    4. Hall, Matthew, 2010. "Accounting information and managerial work," Accounting, Organizations and Society, Elsevier, vol. 35(3), pages 301-315, April.

Chapters

  1. I. M. Premachandra & Joe Zhu & John Watson & Don U. A. Galagedera, 2016. "Mutual Fund Industry Performance: A Network Data Envelopment Analysis Approach," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 165-228, Springer.

    Cited by:

    1. Carlucci, Fabio & Corcione, Carlo & Mazzocchi, Paolo & Trincone, Barbara, 2021. "The role of logistics in promoting Italian agribusiness: The Belt and Road Initiative case study," Land Use Policy, Elsevier, vol. 108(C).
    2. Pablo Solórzano-Taborga & Ana Belén Alonso-Conde & Javier Rojo-Suárez, 2020. "Data Envelopment Analysis and Multifactor Asset Pricing Models," IJFS, MDPI, vol. 8(2), pages 1-18, April.
    3. Ioannis E. Tsolas, 2020. "Precious Metal Mutual Fund Performance Evaluation: A Series Two-Stage DEA Modeling Approach," JRFM, MDPI, vol. 13(5), pages 1-13, April.
    4. Pejman Peykani & Ali Emrouznejad & Emran Mohammadi & Jafar Gheidar-Kheljani, 2024. "A novel robust network data envelopment analysis approach for performance assessment of mutual funds under uncertainty," Annals of Operations Research, Springer, vol. 339(3), pages 1149-1175, August.
    5. Catarina Alexandra Neves Proença & Maria Elisabete Duarte Neves & Maria Castelo Baptista Gouveia & Mara Teresa Silva Madaleno, 2023. "Technological, healthcare and consumer funds efficiency: influence of COVID-19," Operational Research, Springer, vol. 23(2), pages 1-42, June.

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