Sectoral analysis of the period 2015 to 2023 of the insurance industry in Ecuador, based on a business intelligence approach
Keywords:
Insurance market, market projections, Business IntelligenceAbstract
The Superintendence of Companies assumed the competence to supervise the private insurance regime in Ecuador since September 2015, based on the Monetary and Financial Organic Code. This entity is responsible for supervising and controlling the activities of insurance companies, reinsurance companies, intermediaries and experts in the country.
The theoretical framework is based on the Insurance Law and uses key concepts such as assets, paid-in capital, financial investments, liabilities, equity, net premium issued, net premium retained, technical reserve, results for the year, technical results, net claims and paid claims. . These indicators provide essential information on the financial and operational structure of insurance companies.
The methodology used involves the collection of relevant data, its preparation using Power BI, descriptive and narrative analysis, as well as trend and behavior analysis using smoothing techniques. Power BI is used to generate interactive visualizations and charts that represent the size of the market, its historical behavior, and expected trends. Financial data from January 2015 are used and the analysis is projected until the year 2024.
The results of the sectoral analysis offer a clear and detailed vision of the insurance market in Ecuador. A one-year projection was made, that is, January 2024 with a 95% confidence interval. This will provide a short-term vision of the financial evolution of the accounts or indicators studied, which will make it possible to identify future trends and scenarios.
In conclusion, this study and research article contributes to the understanding of the insurance market in Ecuador through the analysis of financial data and short-term projections. The results obtained provide a solid basis for future research and decision-making in the insurance field.
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Copyright (c) 2023 Alfonso Edmundo Rios Morante, Pedro Fabricio Echeverria Briones, Farid Díaz Ruilova, José Rafael, Alexandra Caizahuano Andrade
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.