Please use this identifier to cite or link to this item:
http://elartu.tntu.edu.ua/handle/lib/32273
Title: | Logit and probit model for prediction the financial health of insurance company |
Authors: | Kremen, Viktoriia Brychko, Maryna |
Affiliation: | Kyiv National University of Technologies and Design, Kyiv, Ukraine Sumy State University, Sumy, Ukraine |
Bibliographic description (Ukraine): | Kremen V. Logit and probit model for prediction the financial health of insurance company / Kremen Viktoriia, Brychko Maryna // Business Risk in Changing Dynamics of Global Village 2 : Monograph. — Nysa : Publishing House of University of Applied Sciences in Nysa, 2019. — P. 223–232. — (Business & tourism). |
Bibliographic description (International): | Kremen V., Brychko M. (2019) Logit and probit model for prediction the financial health of insurance company. Business Risk in Changing Dynamics of Global Village 2 : Monograph (Nysa), pp. 223-232. |
Is part of: | Business Risk in Changing Dynamics of Global Village 2, 2019 |
Issue Date: | 25-Nov-2019 |
Date of entry: | 9-Jul-2020 |
Publisher: | Publishing House of University of Applied Sciences in Nysa |
Keywords: | insurance company prediction the financial health logit and probit model regression |
Number of pages: | 10 |
Page range: | 223-232 |
Start page: | 223 |
End page: | 232 |
URI: | http://elartu.tntu.edu.ua/handle/lib/32273 |
ISBN: | 978-83-65881-19-9 |
Copyright owner: | © Publishing House of University of Applied Sciences in Nysa, 2019 © Ternopil Ivan Puluj National Technical University, 2019 |
URL for reference material: | https://forinsurer.com/ratings/Nonlife http://eprints.ucm.es/6836/1/0412.pdf https://nfp.gov.ua/ua/Ohliad-rynkiv.html https://smida.gov.ua/db/emitent |
References (International): | 1. Anghelache, С., and Armeanu, D. Application of Discriminant Analysis on Romanian Insurance Market. Theoretical and Applied Economics, 2008. 11 (528). Pp. 51−62. 2. Barr, Richard S., and Thomas F. Siems. Bank failure prediction using DEA to measure management quality. Interfaces in computer science and operations research. Springer, Boston, MA, 1997. Pp. 341-365. 3. Forinsurer [Online]. – Available at: https://forinsurer.com/ratings/Nonlife 4. Hanweck, Gerald A. Predicting bank failure. No. 19. Board of Governors of the Federal Reserve System (US), 1977. 5. Martin, D. Early warning of bank failure: A logit regression approach. Journal of banking & finance, 1977. 1.3. Pp. 249-276. 6. Martіnez Z. D., Menеndez J. F., Vargas J. S. Algorithm versus Discriminant Analysis. An Application to the Prediction of Insolvency in Spanish Non-life Insurance Companies. Documentos 232 de trabajo de la Facultad de Ciencias Económicas y Empresariales [Online]. – Available at: http://eprints.ucm.es/6836/1/0412.pdf 7. National Commission for Regulation of Financial Services Markets of Ukraine [Online]. – Available at: https://nfp.gov.ua/ua/Ohliad-rynkiv.html 8. Prymak, Ju.R. Suchasni ukrajinsjki ta mizhnarodni metody analizu finansovoji stijkosti bankivsjkoji ustanovy. Mizhnarodnyj naukovyj zhurnal, 2016. 9. Pp. 115−122 9. Stock Market Infrastructure Development Agency of Ukraine [Online]. – Available at: https://smida.gov.ua/db/emitent. 10. Tatom, J., and Houston, R. Predicting failure in the commercial banking industry. Networks Financial Institute Working Paper, 2011. Working Paper. 27. |
Content type: | Book Chapter |
Appears in Collections: | Business Risk in Changing Dynamics of Global Village 2: Monograph |
Files in This Item:
File | Description | Size | Format | |
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BRCDGV_2019_Kremen_V-Logit_and_probit_model_for_223-232.pdf | 1,41 MB | Adobe PDF | View/Open | |
BRCDGV_2019_Kremen_V-Logit_and_probit_model_for_223-232.djvu | 254,03 kB | DjVu | View/Open | |
BRCDGV_2019_Kremen_V-Logit_and_probit_model_for_223-232__COVER.png | 483,6 kB | image/png | View/Open |
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