Prediction analysis of the Herfindahl-Hirschman index based on recurrent neural networks
Vol 8, Issue 13, 2024
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Abstract
The technological development and growth of the telecommunications industry have had a great positive impact on the education, health, and economic sectors, among others. However, they have also increased rivalry between companies in the market to keep and acquire new customers. A lower level of market concentration is related to a higher level of competitiveness among companies in the sector that drives a country’s socioeconomic development. To guarantee and improve the level of competition, it is necessary to monitor the concentration level in the telecommunications market to plan and develop appropriate strategies by governments. With this in mind, the present work aims to analyze the concentration prediction in the telecommunications market through recurrent neural networks and the Herfindahl-Hirschman index. The results show a slight gradual increase in competition in terms of traffic and access, while a more stable concentration level is observed in revenues.
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Amin, A., Shah, B., Khattak, A. B., et al. (2018). Just-in-time customer churn prediction: With and without data transformation. In: Proceeding of the 2018 IEEE congress on evolutionary computation (CEC). pp. 1-6.
Apolinario, Y. B., Quispe, D. K. P., Rodriguez, P. B. V., et al. (2023). Bank concentration, measured by different indicators. the peruvian case. J. Globalization, Competitiveness, Governability, 16(1), 98–114. https://doi.org/10.3232/gcg.2022.v16.n1.05
Bardey, D., Aristizábal, D., Gómez, J. S., et al. (2022). Concentration of the mobile telecommunications markets and countries’ competitiveness. Telecommunications Policy, 46(1), 102230. https://doi.org/10.1016/j.telpol.2021.102230
Berr Berradi, Z., Lazaar, M., Mahboub, O., et al. (2020). A Comprehensive Review of Artificial Intelligence Techniques in Financial Market. 2020 6th IEEE Congress on Information Science and Technology (CiSt), 132, 367–371. https://doi.org/10.1109/cist49399.2021.9357175
Canadian Radio-television and Telecommunications Commission. (2023). Current trends—Mobile wireless. Available online: https://crtc.gc.ca/eng/publications/reports/PolicyMonitoring/mob.htm (accessed on 27 May 2023).
Commission for the Regulation of Communications. (2022a). Battery of indicators for competition analysis | Postscript. Available online: https://postdata.gov.co/story/bateria-de-indicadores-para-el-analisis-de-competencia. doi 10.1111/ecaf.12498 (accessed on 12 July 2023).
Commission for the Regulation of Communications. (2022b). CRC Regulatory Agenda 2021–2022. Available online: https://www.crcom.gov.co/sites/default/files/agenda/201229_ar_2021-22_vpub_0.pdf. doi 10.3233/IP-211532 (accessed on 27 May 2023).
Commission for the Regulation of Communications. (2023a). Beyond the data. Available online: https://postdata.gov.co/. doi 10.3402/ejpt.v4i0.21502 (accessed 24 July 2023).
Commission for the Regulation of Communications. (2023b). Industry Report of the ICT and Postal Sectors 2019. Available online: https://www.postdata.gov.co/sites/default/files/Reporteticpostal2019.pdf (accessed on 27 May 2023).
Fiedler, M., De Moor, K., Ravuri, H., et al. (2017). Users on the move: On relationships between QoE ratings, data volumes and intentions to churn. In: Proceeding of the 42nd Conference on Local Computer Networks Workshops (LCN Workshops).
Ilchenko, M., Uryvsky, L., Osypchuk, S. (2019). World trends of modern information and telecommunication technologies development. In: Proceeding of the International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo).
Lin, X, Lv, T. J., Chen, X. (2018). The coevolutionary relationship of technology, market and government regulation in telecommunications. China Communications, 15(8), 152-173.
Lis-Gutiérrez, J. P. (2023). Concentration measures and market stability: An application for excel (market concentration and market stability measures: An application for excel. SSRN Electronic. https://doi.org/10.2139/ssrn.2279769
Mehrotra, A., Menon, S. (2021). Telecommunication & Networking Changing Customer Profile & Preferences. In: Proceeding of the 2nd International Conference on Computation. Automation and Knowledge Management. (ICCAKM).
Melnik, A., Shy, O., Stenbacka, R. (2008). Assessing market dominance. Journal of Economic Behavior and Organization, 68(1), 63–72. https://doi.org/10.1016/j.jebo.2008.03.010
Miera Berglind, O. S. (2015). Spectrum concentration and market competition. Implications for the use of caps in Mexico. In: Proceeding of the 2015 Conference of Telecommunication, Media and Internet Techno-Economics (CTTE).
MinTIC. (2024). Quarterly ICT Bulletin. Available online: https://colombiatic.mintic.gov.co/679/articles-338221_archivo_pdf.pdf. doi 10.3926/jotse.314 (accessed 10 May 2024).
Nekmahmud, M. D., Rahman, S. (2018). Measuring the Competitiveness Factors in Telecommunication Markets. In: Competitiveness in Emerging Markets: Market Dynamics in the Age of Disruptive Technologies. Cham: Springer International Publishing. pp. 339-372. https://10.1007/978-3-319-71722-718.
OCDE. (2023). Informe: Economy Profile of Colombia 2020. Available online: https://www.doingbusiness.org/content/dam/doingBusiness/country/c/colombia/COL.pdf. doi 10.1080/01495933.2011.545686 (accessed on 27 May 2023).
OFCOM. (2022). Telecommunications Market Data Update Q3. OFCOM.
Ruíz Porras, A., Hernández Reyes, J. P. (2023). Concentration in banking markets and the technical efficiency of commercial banks in Mexico. Acta Universitaria, 30, 1–23. https://doi.org/10.15174/au.2020.2757
DOI: https://doi.org/10.24294/jipd7795
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