Forecasting the Agricultural Risk Insurance System Parameters
The current insurance market situation is characterised by a high degree of instability. Many factors influence insurance company premiums, including the number of contracts, the claim repayment ratio, capital structure, underwriting profitability and risk. The insurance sector serves as a protectiv...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2021/21/shsconf_icemt2021_04010.pdf |
| _version_ | 1818872421017452544 |
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| author | Chernyakov Mikhail Chernyakova Maria Chernyakova Irina Gromov Sergey Mokhtarzada Saidmukhtor S. |
| author_facet | Chernyakov Mikhail Chernyakova Maria Chernyakova Irina Gromov Sergey Mokhtarzada Saidmukhtor S. |
| author_sort | Chernyakov Mikhail |
| collection | DOAJ |
| description | The current insurance market situation is characterised by a high degree of instability. Many factors influence insurance company premiums, including the number of contracts, the claim repayment ratio, capital structure, underwriting profitability and risk. The insurance sector serves as a protective barrier for the country’s economy, defending it from various risks. At the same time, insurance company premiums are influenced by risks too. The number of research articles testifies to a stable interest in this problem. However, there is no technique for establishing the connection between the insurance premium and the many factors it is sensitive to. The article is devoted to the development of new models and, based on them, some digital technologies for forecasting agricultural insurance risk parameters. Based on a paradoxical theory of regulation and inno-diversification approach, an author’s model was developed for forecasting activity. It was used to do calculations of the main indicators of the agiructural risk insurance system. As a result, it became possible to trace the main patterns and tendencies in the development of the agricultural risk insurance system in Russia. Special attention was paid to the period after 2017 when it started to stabilise and recover after the crises as a consequence of nonoptimal managerial solution as refers to the inclusion of the agricultural risk insurance system in the “single subsidy”. |
| first_indexed | 2024-12-19T12:38:32Z |
| format | Article |
| id | doaj.art-b89577490c7d441e8b7052183692b1d0 |
| institution | Directory Open Access Journal |
| issn | 2261-2424 |
| language | English |
| last_indexed | 2024-12-19T12:38:32Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj.art-b89577490c7d441e8b7052183692b1d02022-12-21T20:21:05ZengEDP SciencesSHS Web of Conferences2261-24242021-01-011100401010.1051/shsconf/202111004010shsconf_icemt2021_04010Forecasting the Agricultural Risk Insurance System ParametersChernyakov Mikhail0Chernyakova Maria1Chernyakova IrinaGromov Sergey2Mokhtarzada Saidmukhtor S.3Novosibirsk State Technical UniversitySiberian Institute of ManagementPrivate institution “Rusatom-International Network”Tajik state University of CommerceThe current insurance market situation is characterised by a high degree of instability. Many factors influence insurance company premiums, including the number of contracts, the claim repayment ratio, capital structure, underwriting profitability and risk. The insurance sector serves as a protective barrier for the country’s economy, defending it from various risks. At the same time, insurance company premiums are influenced by risks too. The number of research articles testifies to a stable interest in this problem. However, there is no technique for establishing the connection between the insurance premium and the many factors it is sensitive to. The article is devoted to the development of new models and, based on them, some digital technologies for forecasting agricultural insurance risk parameters. Based on a paradoxical theory of regulation and inno-diversification approach, an author’s model was developed for forecasting activity. It was used to do calculations of the main indicators of the agiructural risk insurance system. As a result, it became possible to trace the main patterns and tendencies in the development of the agricultural risk insurance system in Russia. Special attention was paid to the period after 2017 when it started to stabilise and recover after the crises as a consequence of nonoptimal managerial solution as refers to the inclusion of the agricultural risk insurance system in the “single subsidy”.https://www.shs-conferences.org/articles/shsconf/pdf/2021/21/shsconf_icemt2021_04010.pdf |
| spellingShingle | Chernyakov Mikhail Chernyakova Maria Chernyakova Irina Gromov Sergey Mokhtarzada Saidmukhtor S. Forecasting the Agricultural Risk Insurance System Parameters SHS Web of Conferences |
| title | Forecasting the Agricultural Risk Insurance System Parameters |
| title_full | Forecasting the Agricultural Risk Insurance System Parameters |
| title_fullStr | Forecasting the Agricultural Risk Insurance System Parameters |
| title_full_unstemmed | Forecasting the Agricultural Risk Insurance System Parameters |
| title_short | Forecasting the Agricultural Risk Insurance System Parameters |
| title_sort | forecasting the agricultural risk insurance system parameters |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2021/21/shsconf_icemt2021_04010.pdf |
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