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http://dx.doi.org/10.13106/jafeb.2021.vol8.no3.0527

Approaching the Negative Super-SBM Model to Partner Selection of Vietnamese Securities Companies  

NGUYEN, Xuan Huynh (Hanoi School of Business and Management, Vietnam National University)
NGUYEN, Thi Kim Lien (Scientific Research-International Cooperation, Thanh Dong University)
Publication Information
The Journal of Asian Finance, Economics and Business / v.8, no.3, 2021 , pp. 527-538 More about this Journal
Abstract
The purpose of the study is to determine the efficiency, position, and partner selection of securities companies via the negative super-SBM model used in data envelopment analysis (DEA). This model utilizes a variety of inputs, including current assets, non-current assets, fixed assets, liabilities, owner's equity and charter capital, and outputs including net revenue, gross profit, operating profit, and net profit after tax collected from the financial reports (Vietstock, 2020) of 32 securities companies, operating during the period from 2016 to 2019, negative data are collected as well. Empirical results determined both efficient and inefficient terms, and then further determined the position of each securities firm under consideration of every term. The overall score arrived at discovered a large performance change realizing a maximum score able to reach 20.791. In the next stage, alliancing inefficient companies was carried out based on the 2019 scores to seek out optimal partners for the inefficient companies. The tested result indicated that AAS was the best partner selection when its partners received a good result after alliancing, as with FTS (11.04469). The partner selection is deemed as a solution helpful to inefficient securities companies in order to improve their future efficiency scores.
Keywords
Securities Company; Negative Super-SBM Model; Data Envelopment Analysis (DEA); Partner Selection;
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1 Alexander, J. K. (2009). The Concept of Efficiency: An Historical Analysis. In Handbook of the Philosophy of Science, Philosophy of Technology and Engineering Sciences, North-Holland, 1007-1030. https://doi.org/10.1016/B978-0-444-51667-1.50041-0   DOI
2 Allahyar, M., & Malkhalifeh, M. R. (2015). Negative data in data envelopment analysis: Efficiency analysis and estimating returns to scale. Computers & Industrial Engineering, 82, 78-81. https://doi.org/10.1016/j.cie.2015.01.022   DOI
3 Feng, Z., Zeng, B., & Ming, Q. (2018). Environmental Regulation, Two-Way Foreign Direct Investment, and Green Innovation Efficiency in China's Manufacturing Industry. International Journal of Environmental Research and Public Health, 15(10), 1-22. https://doi.org/10.3390/ijerph15102292   DOI
4 Fisher, N. F., Gissler, S., & Verani, S. (2019). Over-the-counter market liquidity and securities lending. Review of Economic Dynamics, 33, 272-294. https://doi.org/10.1016/j.red.2019.02.005   DOI
5 Gao, J., O'Sullivan, N., & Sherman, M. (2017). Performance persistence in Chinese securities investment funds. Research in International Business and Finance, 42, 1467-1477. https://doi.org/10.1016/j.ribaf.2017.07.085   DOI
6 Gustafson, M. T. (2018). Inter-market competition and bank loan spreads: Evidence from the securities offering reform. Journal of Banking & Finance, 94, 107-117. https://doi.org/10.1016/j.jbankfin.2018.07.008   DOI
7 Iwamura, A. & Jog, V. M. (1991). Innovators, organization structure and management of the innovation process in the securities industry. Journal of Product Innovation Management, 8(2), 104-116. https://doi.org/10.1016/0737-6782(91)90004-I   DOI
8 Khoveyni, M., Eslami, R., & Yang, G. L. (2017). Negative data in DEA: Recognizing congestion and specifying the least and the most congested decision-making units. Computers & Operations Research, 79, 39-48. https://doi.org/10.1016/j.cor.2016.09.002   DOI
9 Liao, C. S. (2020). Evaluation and Comparison of Bank Efficiency in Cross-Strait after ECFA. Journal of Asian Finance, Economics and Business, 7(10), 783-793. https://doi.org/10.13106/JAFEB.2020.VOL7.NO10.783   DOI
10 Lin, R. Y., & Liu, Y. (2019). Super-efficiency based on the directional distance function in the presence of negative data. Omega, 85, 26-34. https://doi.org/10.1016/j.omega.2018.05.009   DOI
11 Lin, R., Yang, W., & Huang, H. L. (2019). A modified slacks-based super-efficiency measure in the presence of negative data. Computers & Industrial Engineering, 135, 39-52. https://doi.org/10.1016/j.cie.2019.05.030   DOI
12 Masud, M. M., Rana, M. S., Mia, M. A., & Saifullah, M. K. (2019). How Productive Are Life Insurance Institutions in Malaysia? A Malmquist Approach. Journal of Asian Finance, Economics and Business, 6(1), 241-248. https://doi.org/10.13106/JAFEB.2019.VOL6.NO1.241   DOI
13 Mehdiloozad, M., Joe, Z., & Sahoo, B. K. (2018). Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data. European Journal of Operational Research, 265(2), 644-654. https://doi.org/10.1016/j.ejor.2017.07.065   DOI
14 Naushad, M., Faridi, M. R., & Faisal, S. (2020). Measuring the Managerial Efficiency of Insurance Companies in Saudi Arabia: A Data Envelopment Analysis Approach. Journal of Asian Finance, Economics and Business, 7(6), 297-304. https://doi.org/10.13106/JAFEB.2020.VOL7.NO6.297   DOI
15 Nguyen, H. K. (2020). Combining DEA and ARIMA Models for Partner Selection in the Supply Chain of Vietnam's Construction Industry. Mathematics, 8(6), 1-20. https://doi.org/10.3390/math8060866   DOI
16 Nielsen, B. B. (2003). An Empirical Investigation of the Drivers of International Strategic Alliance Formation. European Management Journal, 21(3), 301-322. https://doi.org/10.1016/S0263-2373(03)00043-4   DOI
17 Steil, B. (2001). Creating Securities Markets in Developing Countries: A New Approach for the Age of Automated Trading. International Finance, 4(2), 257-78. https://doi.org/10.1111/1468-2362.00073   DOI
18 Pang, Y., & Wang, X. (2020). Land-Use Efficiency in Shandong (China): Empirical Analysis Based on a Super-SBM Model. Sustainability, 12(24), 1-20. https://doi.org/10.3390/su122410618   DOI
19 Pham, C. H., Sriratanaviriyakul, N., & Nkhoma, M. (2013). Business Critical Application: An IT Investment Dilemma at a Securities Company. Journal of Information Technology Education Discussion Cases, 2(3), 1-16. https://doi.org/10.28945/1874   DOI
20 Statistic (October, 2020). Securities. Statistics. Available online: https://www.statista.com/outlook/281/100/security/worldwide (accessed on 19 November 2020)
21 Tavana, M., Izadikhah, M., Caprio, D. D., & Saen, R. F. (2018). A new dynamic range directional measure for two-stage data envelopment analysis models with negative data. Computers & Industrial Engineering, 115, 427-448. https://doi.org/10.1016/j.cie.2017.11.024   DOI
22 Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509. https://doi.org/10.1016/S0377-2217(99)00407-5   DOI
23 Tone, K. (2002). A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1), 32-41. https://doi.org/10.1016/S0377-2217(01)00324-1   DOI
24 Silvers, R. (2020). Cross-border cooperation between securities regulators. Journal of Accounting and Economics, 69(2-3), 1-22. https://doi.org/10.1016/j.jacceco.2020.101301   DOI
25 Tone, K. (2004). Dealing with undesirable outputs in DEA: A Slacks-Based Measure (SBM) approach. Nippon Opereshonzu, Risachi Gakkai Shunki Kenkyu Happyokai Abusutorakutoshu, 44-45.
26 Tone, K., Chang, T. S., & Wu, C. H. (2020). Handling negative data in slacks-based measure data envelopment analysis models. European Journal of Operational Research, 282(3), 926-935. https://doi.org/10.1016/j.ejor.2019.09.055   DOI
27 Vietstock. 2020. Available online: https://vietstock.vn/ (accessed on 2 September 2020)
28 Cheng, G., Zervopoulos, P., & Qian, Z. H. (2013). A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis. European Journal of Operational Research, 225(1), 100-105. https://doi.org/10.1016/j.ejor.2012.09.031   DOI
29 Bayyurt, N., & Akin, A. (2014). Effects of foreign acquisitions on the performance of securities firms: Evidence from Turkey. Procedia - Social and Behavioral Sciences, 150, 156-161. https://doi.org/10.1016/j.sbspro.2014.09.020   DOI
30 Chanto, A. H., & Fioriti, A. (2019). Bidding securities in projects with negative externalities. European Economic Review, 118, 14-36. https://doi.org/10.1016/j.euroecorev.2019.05.003   DOI
31 Cui, Q., & Jin, J. Y. (2020). Airline environmental efficiency measures considering negative data: An application of a modified network Modified Slacks-based measure model. Energy, 207, 1-13. https://doi.org/10.1016/j.energy.2020.118221   DOI
32 Dum & Bradsheet. 2020. Securities Brokerage companies in Vietnam. Available online: https://www.dnb.com/ (accessed on 1 September 2020)
33 Duisters D., Duysters, G., & Man, A. P. D. (2011). The partner selection process: steps, effectiveness, governance. International Journal of Strategic Business Alliances, 2(1/2), 7-25. https://doi.org/10.1504/IJSBA.2011.038131   DOI
34 Emrouznejad, A., Anouze, A. L., & Thanassoulis, E. (2010). A semi-oriented radial measure for measuring the efficiency of decision-making units with negative data, using DEA. European Journal of Operational Research, 200(1), 297-304. https://doi.org/10.1016/j.ejor.2009.01.001   DOI
35 Faias, J. A., & Guedes, J. (2020). The diffusion of complex securities: The case of CAT bonds. Insurance: Mathematics and Economics, 90, 46-57. https://doi.org/10.1016/j.insmatheco.2019.10.011   DOI
36 Wang, C. N., Nguyen, X. T., Le, T. D., & Hsueh, M. H. (2018). A partner selection approach for strategic alliance in the global aerospace and defense industry. Journal of Air Transport Management, 69, 190-204. https://doi.org/10.1016/j.jairtraman.2018.03.003   DOI
37 Wang, C. N., Day, J. D., Nguyen, T. K. L., & Luu, Q. C. (2018). Integrating the Additive Seasonal model and Super-SBM model to compute the efficiency of port logistics companies in Vietnam. Sustainability, 10(8), 1-18. https://doi.org/10.3390/su10082782   DOI