Abstract
FinTechs have gained an important place in the financial sector with their dynamic and customer-oriented structures and innovative approaches and business models. In recent years, the competition between actors in the financial sector has intensified. In a rapidly developing sector, where competition is intense and challenging, efficiency is a very important performance indicator for fintechs. This study aims to measure and examine the efficiency performance of FinTech companies. Data Envelopment Analysis was used for efficiency measurement. By establishing a two-stage data envelopment analysis model, "profitability", "marketability" and "overall process" efficiencies of fintechs were measured and analyzed. Efficiency of FinTechs operating in eight different sub-sectors was measured for the period of 2010–2019. The results show that, fintechs’ profitability efficiency performances are higher than their marketability efficiency performances. Besides, efficiency performance of the fintech companies differs on the basis of sub-sectors. This paper is a pioneer study in efficiency measurement of FinTechs.
Similar content being viewed by others
Data availability
The datasets used and/or analyzed during the current study were gathered from Thomson Reuters Refinitiv Eikon repository, https://eikon.thomsonreuters.com/index.html. The datasets can be found in many different sources and databases and are available from the corresponding author on reasonable request.
Code availability
Data envelopment analysis was performed using DEAFrontier software (http://www.deafrontier.net/deasoftware.html).
Notes
When KBW first introduced the Financial Technology Index, it presented the sub-sector distinction for the companies included in the index but did not publish this information in the following periods. The sub-sector distinction of the companies included in the index was obtained by making contact with the officials of the KBW Company for all periods including 2019.
References
Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35–46. https://doi.org/10.1016/j.bushor.2017.09.003
Kalmykova, E., & Ryabova, A. (2016). Fintech market development perspectives. Ardashki, I. and Martyushev, N. (Ed.), SHS Web of Conferences (Vol. 28–01051) EDP Sciences. RPTSS 2015—International Conference on Research Paradigms Transformation in Social Sciences 2015, Tomsk, Russia, 15–17 December, 2015.
Ancri, C. (2016). Fintech innovation: An overview. Presentation, Board of Governors of the Federal Reserve System, Washington, ABD. http://pubdocs.worldbank.org/en/767751477065124612/11-Fintech.pdf Accessed 30 March 2020.
Brandl, B., & Hornuf, L. (2017). Where did Fintechs come from, and where do they go? The transformation of the financial industry in Germany after digitalization. https://doi.org/10.2139/ssrn.3036555
Drasch, B. J., Schweizer, A., & Urbach, N. (2018). Integrating the ‘Troublemakers’: A taxonomy for cooperation between banks and fintechs. Journal of Economics and Business, 100, 26–42. https://doi.org/10.1016/j.jeconbus.2018.04.002
Klus, M. F., Lohwasser, T. S., Holotiuk, F., & Moormann, J. (2019). Strategic alliances between banks and fintechs for digital innovation: Motives to collaborate and types of interaction. The Journal of Entrepreneurial Finance, 21(1), 1.
Zalan, T., & Toufaily, E. (2017). The promise of Fintech in emerging markets: Not as disruptive. Contemporary Economics, 11(4), 415–430.
Demertzis, M., Merler, S., & Wolff, G. B. (2018). Capital Markets Union and the fintech opportunity. Journal of Financial Regulation, 4(1), 157–165. https://doi.org/10.1093/jfr/fjx012
KBW (n.d.). “KBW Nasdaq Financial Technology Index Methodology”. https://kbw.com/uploads/pdf/indexes-etfs/Methodology_KFTX.pdf Accessed 14 May 2020.
Nasdaq Global Indexes (n.d.). “KBW Nasdaq Financial Technology Index (KFTX)”. https://indexes.nasdaqomx.com/Index/Overview/KFTX Accessed 5 April 2019.
Refinitiv Eikon (2020). “Thomson Reuters Refinitiv Eikon”. https://eikon.thomsonreuters.com/index.html Accessed 10 May 2020.
Zhu, J. (n.d.). “DEAFrontier Software” (Microsoft Excel Add-in), Joe Zhu’s Research on Data Envelopment Analysis, http://www.deafrontier.net/deasoftware.html Accessed 2 July 2020.
Zhu, J. (2003). Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver. International Series in Operations Research & Management Science (Vol. 213). Springer, New York. https://doi.org/10.1007/978-1-4757-4246-6
Zhu, J. (2009). Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets (2nd ed.), International Series in Operations Research & Management Science (Vol. 213), Springer, New York, USA. https://doi.org/10.1007/978-0-387-85981-1
Zhu, J. (2014). Quantitative Models for Performance Evaluation and Benchmarking: Data envelopment analysis with spreadsheets (3rd ed.). International Series in Operations Research & Management Science (Vol. 213), Springer International Publishing, Switzerland. https://doi.org/10.1007/978-3-319-06647-9
Arner, D. W., Barberis, J., & Buckley, R. P. (2016). The evolution of Fintech: A new post-crisis paradigm. Georgetown Journal of International Law, 47, 1271–1319.
Raza, S. (2018). “Fintech—The Evolution of Modern Financial Technology in the 21st Century”. ValueWalk available at: https://www.valuewalk.com/2018/03/fintech-evolution-financial-technology/ Accessed 7 April 2020.
Alt, R., Beck, R., & Smits, M. T. (2018). FinTech and the transformation of the financial industry. Electronic Markets., 28, 235–243. https://doi.org/10.1007/s12525-018-0310-9
Chishti, S., & Barberis, J. (2016). The FinTech book: The financial technology handbook for investors, entrepreneurs and visionaries. John Wiley & Sons.
Gomber, P., Koch, J. A., & Siering, M. (2017). Digital Finance and FinTech: Current research and future research directions. Journal of Business Economics, 87(5), 537–580. https://doi.org/10.1007/s11573-017-0852-x
He, M. D., Leckow, M. R. B., Haksar, M. V., Griffoli, M. T. M., Jenkinson, N., Kashima, M. M., Khiaonarong, T., Rochon, C., & Tourpe, H. (2017). Fintech and financial services: initial considerations. International Monetary Fund Stuff Discussion Note. https://www.elibrary.imf.org/view/journals/006/2017/005/article-A001-en.xml (accessed 18 March 2020).
Hernández, E., González, A., Pérez, B., de Luis Reboredo, A., & Rodríguez, S. (2019). Virtual organization for fintech management. Rodríguez, S., Prieto, J., Faria, P., Kłos, S., Fernández, A., Mazuelas, S., Jiménez-López, M. D., Moreno, M. N., & Navarro, E. M. (Eds.), Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference, DCAI 2018, Advances in Intelligent Systems and Computing, vol 801. Springer, Cham, pp. 201–210. https://doi.org/10.1007/978-3-319-99608-0_23
Khotinskay, G. I. (2019). Fin tech: fundamental theory and empirical features. European Proceedings of Social and Behavioural Sciences, 57, 222–229.
Ng, A. W., & Kwok, B. K. (2017). Emergence of Fintech and cybersecurity in a global financial centre. Journal of Financial Regulation and Compliance, 25(4), 422–434. https://doi.org/10.1108/JFRC-01-2017-0013
BCG and Expand Research (n.d.). “FinTech Control Tower”. https://fintechcontroltower.bcg.com/#/home Accessed 21 April 2020.
Statista (2020). “Number of Fintech startups worldwide from 2018 to 2020, by region”. https://www.statista.com/statistics/893954/number-fintech-startups-by-region/ Accessed 21 April 2020.
Eckenrode, J. (2020). “Fintech investors: Enthusiastic yet strategically picking their spots”. Qicklook: Deloitte Center for Financial Services. https://www2.deloitte.com/us/en/pages/financial-services/articles/fintech-investors-enthusiastic-yet-strategically-picking-their-spots.html Accessed 29 March 2020.
CB Insights (2020). “The Global Unicorn Club”. CB Insights. https://www.cbinsights.com/research-unicorn-companies Accessed 29 March 2020.
Deloitte (2017). “Fintech by the numbers: Incumbents, startups, investors adapt to maturing ecosystem”. Deloitte Development LLC. https://www2.deloitte.com/tr/en/pages/financial-services/articles/fintech-by-the-numbers.html Accessed 25 February 2020.
FT Partners (2020). “2019 Annual Fintech Almanac: Global Financing and M&A Statistics”. https://ftpartners.docsend.com/view/9849q93 Accessed 25 February 2020.
KPMG (2020), “The Pulse of Fintech H2 2019”. https://assets.kpmg/content/dam/kpmg/xx/pdf/2020/02/pulse-of-fintech-h2-2019.pdf Accessed 6 March 2020.
Ernst & Young (2019). “Global FinTech Adoption Index 2019: As FinTech becomes the norm, you need to stand out from the crowd”. https://www.ey.com/en_gl/ey-global-fintech-adoption-index Accessed 21 April 2020.
Philippon, T. (2016). “The fintech opportunity”, (NBER Working Paper No 22476). National Bureau of Economic Research. https://www.nber.org/papers/w22476 Accessed 4 March 2020.
Deloitte (2017), “Digital Banking Benchmark: Improving the digital performance”. Deloitte Luxembourg. available at: https://www2.deloitte.com/content/dam/Deloitte/lu/Documents/financial-services/Banking/lu-digital-banking-benchmark.pdf Accessed 29 March 2020.
Lacasse, R. M., Lambert, B. A., Roy, N., Sylvain, J., & Nadeau, F. (2016). A digital tsunami: FinTech and crowdfunding. International Scientific Conference on Digital Intelligence (pp. 1–5). Quebec City, Kanada, 4–6 April 2016.
Zavolokina, L., Dolata, M., & Schwabe, G., (2016). FinTech–What's in a Name?. Thirty Seventh International Conference on Information Systems, Dublin, Ireland. 11–16 December 2016
Vives, X. (2017). The impact of FinTech on banking. European Economy - Banks, Regulation, and the Real Sector, 3(2), 97–105.
Thakor, A. V. (2020). Fintech and banking: What do we know? Journal of Financial Intermediation, 41, 100833. https://doi.org/10.1016/j.jfi.2019.100833
Milne, A., & Parboteeah, P. (2016). The business models and economics of peer-to-peer lending. ECRI Research Report. https://doi.org/10.2139/ssrn.2763682
Ahn, S. J., & Lee, S. H. (2019). The effect of consumers’ perceived value on acceptance of an internet-only bank service. Sustainability, 11(17), 4599. https://doi.org/10.3390/su11174599
Chen, K. C. (2020). Implications of Fintech developments for traditional banks. International Journal of Economics and Financial Issues, 10(5), 227.
DeYoung, R. (2005). The performance of Internet-based business models: Evidence from the banking industry. The Journal of Business, 78(3), 893–948. https://doi.org/10.1086/429648
Stulz, R. M. (2019). Fintech, bigtech, and the future of banks. Journal of Applied Corporate Finance, 31(4), 86–97. https://doi.org/10.1111/jacf.12378
Nuyens, H. (2019). How disruptive are FinTech and digital for banks and regulators? Journal of Risk Management in Financial Institutions, 12(3), 217–222.
Navaretti, G. B., Calzolari, G., Mansilla-Fernandez, J., & Pozzolo, A. F. (2018). Fintech and Banking. Friends or Foes? European Economy—Banks, Regulation, and the Real Sector, 3(2), 9–30. https://doi.org/10.2139/ssrn.3099337
CB Insights (2020). “The State of Fintech: Investment & Sector Trends to Watch”. https://www.cbinsights.com/research/report/fintech-trends-q4-2019/ Accessed 30 March 2020.
Karakas, C., & Stamegna, C. (2017). “Financial technology (FinTech): Prospects and challenges for EU”. Briefing, European Parliamentary Research Service (EPRS). https://www.europarl.europa.eu/RegData/etudes/BRIE/2017/599348/EPRS_BRI(2017)599348_EN.pdf Accessed 1 March 2020.
Nonninger, L., & Tesfaye, M. (2020). “Overview of the fintech industry in 2020: Latest trends, market research and analysis from our ecosystem report”. Business Insider. https://www.businessinsider.com/fintech-ecosystem-report Accessed 25 February 2020.
S&P Global Market Intelligence (2018). “2018 US Fintech Market Report”. https://www.spglobal.com/marketintelligence/en/documents/2018-us-fintech-market-report.pdf Accessed 25 February 2020.
World Economic Forum (2015). “The Future of Financial Services: How disruptive innovations are reshaping the way financial services are structured, provisioned and consumed”. http://www3.weforum.org/docs/WEF_The_future__of_financial_services.pdf Accessed 25 February 2020.
Berger, A. N., & Humphrey, D. B. (1997). Efficiency of financial institutions: International survey and directions for future research. European Journal of Operational Research, 98(2), 175–212. https://doi.org/10.1016/S0377-2217(96)00342-6
Sharma, D., Sharma, A. K., & Barua, M. K. (2013). Efficiency and productivity of banking sector: A critical analysis of literature and design of conceptual model. Qualitative Research in Financial Markets, 5(2), 195–224. https://doi.org/10.1108/QRFM-10-2011-0025
Bhatia, V., Basu, S., Mitra, S. K., & Dash, P. (2018). A review of bank efficiency and productivity. Opsearch, 55(3–4), 557–600. https://doi.org/10.1007/s12597-018-0332-2
Ahmad, N., Naveed, A., Ahmad, S., & Butt, I. (2020). Banking sector performance, profitability, and efficiency: A citation based systematic literature review. Journal of Economic Surveys, 34(1), 185–218. https://doi.org/10.1111/joes.12346
Sufian, F. (2006). The efficiency of non-bank financial institutions: empirical evidence from Malaysia. International Journal of Finance and Economics, 6(1), 18–22.
Dutta, P., Jain, A., & Gupta, A. (2020). Performance analysis of non-banking finance companies using two-stage data envelopment analysis. Annals of Operations Research, 295, 91–116. https://doi.org/10.1007/s10479-020-03705-6
Gutiérrez-Nieto, B., Serrano-Cinca, C., & Molinero, C. M. (2007). Microfinance institutions and efficiency. Omega, 35(2), 131–142. https://doi.org/10.1016/j.omega.2005.04.001
Bassem, B. S. (2008). Efficiency of microfinance institutions in the Mediterranean: An application of DEA. Transition Studies Review, 15(2), 343–354. https://doi.org/10.1007/s11300-008-0012-7
Hermes, N., Lensink, R., & Meesters, A. (2011). Outreach and efficiency of microfinance institutions. World Development, 39(6), 938–948. https://doi.org/10.1016/j.worlddev.2009.10.018
Kao, C., & Hwang, S. N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185(1), 418–429. https://doi.org/10.1016/j.ejor.2006.11.041
Eling, M., & Schaper, P. (2017). Under pressure: How the business environment affects productivity and efficiency of European life insurance companies. European Journal of Operational Research, 258(3), 1082–1094. https://doi.org/10.1016/j.ejor.2016.08.070
Seiford, L. M., & Zhu, J. (1999). Profitability and marketability of the top 55 US commercial banks. Management Science, 45(9), 1270–1288. https://doi.org/10.1287/mnsc.45.9.1270
Luo, X. (2003). Evaluating the profitability and marketability efficiency of large banks: An application of data envelopment analysis. Journal of Business Research, 56(8), 627–635. https://doi.org/10.1016/S0148-2963(01)00293-4
Zhu, J. (2000). Multi-factor performance measure model with an application to Fortune 500 companies. European Journal of Operational Research, 123(1), 105–124. https://doi.org/10.1016/S0377-2217(99)00096-X
Hung, S. W., & Wang, A. P. (2012). Entrepreneurs with glamour? DEA performance characterisation of high-tech and older-established industries. Economic Modelling, 29(4), 1146–1153. https://doi.org/10.1016/j.econmod.2012.04.003
Chao, C. M., Yu, M. M., Hsiung, N. H., & Chen, L. H. (2018). Profitability efficiency, marketability efficiency and technology gaps in Taiwan’s banking industry: Meta-frontier network data envelopment analysis. Applied Economics, 50(3), 233–250. https://doi.org/10.1080/00036846.2017.1316827
Anh, D. L. T., & Gan, C. (2020). Profitability and marketability efficiencies of Vietnam manufacturing firms: An application of a multi-stage process. International Journal of Social Economics, 47(1), 54–71.
Huang, C. W. (2021). Using a hybrid two-stage DEA model to analyze the profitability and marketability of medical manufacturing firms. International Transactions in Operational Research, 28(1), 470–492. https://doi.org/10.1111/itor.12546
KBW (2016). “Introducing the KBW Nasdaq Financial Technology Index”. https://www.kbw.com/uploads/pdf/thought-leadership/KBW-KFTX_7.18.16.pdf Accessed 14 May 2020.
Liang, L., Cook, W. D., & Zhu, J. (2008). DEA models for two-stage processes: Game approach and efficiency decomposition. Naval Research Logistics, 55(7), 643–653. https://doi.org/10.1002/nav.20308
Chen, Y., & Zhu, J. (2004). Measuring information technology’s indirect impact on firm performance. Information Technology and Management, 5, 9–22. https://doi.org/10.1023/B:ITEM.0000008075.43543.97
Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data Envelopment Analysis: History, Models, and Interpretations. Cooper, W. W., Seiford, L. M., & Zhu, J. (Eds.). Handbook on data envelopment analysis. International Series in Operations Research & Management Science, vol 164. Springer Science & Business Media, pp. 1–39.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253–281. https://doi.org/10.2307/2343100
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
Chen, Y., Cook, W. D., & Zhu, J. (2010). Deriving the DEA frontier for two-stage processes. European Journal of Operational Research, 202(1), 138–142. https://doi.org/10.1016/j.ejor.2009.05.012
Ali, A. I., & Seiford, L. M. (1990). Translation invariance in data envelopment analysis. Operations Research Letters, 9(2), 403–405. https://doi.org/10.1016/0167-6377(90)90061-9
Bowlin, W. F. (1998). Measuring performance: An introduction to data envelopment analysis (DEA). The Journal of Cost Analysis, 15(2), 3–27. https://doi.org/10.1080/08823871.1998.10462318
Pastor, J. T. (1996). Translation invariance in data envelopment analysis: A generalization. Annals of Operations Research, 66(2), 91–102. https://doi.org/10.1007/BF02187295
Pastor, J. T., & Ruiz, J. L. (2007). Variables with negative values in DEA. Zhu, J., & Cook, W. D. (Eds.). Modeling data irregularities and structural complexities in data envelopment analysis. Springer, Boston, pp 63–84. https://doi.org/10.1007/978-0-387-71607-7_4
Boussofiane, A., Dyson, R. G., & Thanassoulis, E. (1991). Applied data envelopment analysis. European Journal of Operational Research, 52(1), 1–15. https://doi.org/10.1016/0377-2217(91)90331-O
Acknowledgements
This study is a part of Mehmet Çağlar’s Ph.D. dissertation.
Funding
This research received no external funding.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare that they have no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Çağlar, M., Nişel, S. Efficiency measurement of fintech companies: a two-stage DEA approach. Electron Commer Res (2024). https://doi.org/10.1007/s10660-023-09804-3
Accepted:
Published:
DOI: https://doi.org/10.1007/s10660-023-09804-3