Banklar reytingini prognoz qilishning ekonometrik tahlili
DOI:
https://doi.org/10.5281/zenodo.17152921Keywords:
reyting, bank reytingi, SVM modeli, prognoz, Lagranj relaksatsiyasi, moliyaviy o‘zgaruvchilar, davlat banklari, o‘zgaruvchilar kombinatsiyasi, Standard & Poor's, Moody's i Fitch reyting agentliklariAbstract
Ushbu maqolada banklar reytingini prognoz qilishning zamonaviy modellaridan foydalangan holda davlat
ulushi mavjud banklarning ko‘rsatkichlari asosida SVM ning asosiy konsyepsiyasi chiziqli vektorli modeldan foydalangan
holda ularning reytingini prognozi ishlab chiqilgan.
References
Bissundayal-Bkhinik E. i Tripongkaruna S. (2011). Analysis of factors, determining bank ratings: comparison of rating
agencies. Australian Journal of Management, 36(3), 405–424. https://doi.org/10.1177/0312896211426676
Li, Y. J., Liu, X. X., & Chen, P. (2015). Improved AdaBoost Algorithm and SVM Combinatorial Classifier. Computer
Engineering and Applications, 44-32.
Periklis Gogas. Forecasting Bank Credit Ratings. March 2014The Journal of Risk Finance 15(2):195-209. DOI:10.1108/
JRF-11-2013-0076
Spiros Pagratis and Marko Stringa, 2009. « Modeling of senior unsecured bank ratings: a structured structured
approach to credit rating banks, » International Journal of the Central Bank, International Journal of the Central Bank,
vol. 5(2), pages 1–39, June.
Vasilios Plakandaras , Periklis Gogas, Theophilos Papadimitriou, Efterpi Doumpa and Maria Stefanidou. Forecasting
Credit Ratings of EU Banks. International Journal of Financial Studies. Published: 6 August 2020
Yang, J. H., & Luo, D. S. (2017). The P2P Risk Assessment Model Based on the Improved AdaBoost SVM Algorithm.
Journal of Financial Risk Management, 6, 201-209. https://doi.org/10.4236/jfrm.2017.62015
https://agrobank.uz/uz/shareholders-and-investors/financial
https://agrobank.uz/uz/shareholders-and-investors/financial
https://agrobank.uz/uz/shareholders-and-investors/financial
https://agrobank.uz/uz/shareholders-and-investors/financial
https://cbu.uz/oz/statistics/bankstats/1613201/
https://ideas.repec.org/a/gam/jijfss/v8y2020i3p49-d395525.html (Vasilios Plakandaras, Periklis Gogas, Theofilos
https://ideas.repec.org/a/gam/jijfss/v8y2020i3p49-d395525.html (Vasilios Plakandaras, Periklis Gogas, Theofilos
Papadimitriou, Efterpi Dumpa & Maria Stefanidou, 2020. “ Forecasting EU Bank Credit Ratings ,” IJFS, MDPI, vol.
(3), pages 1–15, August.)
https://lex.uz/ru/docs/6600413 (O‘zbekiston Respublikasi Prezidentining 2023 yil 11 sentyabrdagi PF-158-son
Farmoni)
https://www.researchgate.net/publication/333200335_Forecasting_Bank_Credit_Ratings
https://www.researchgate.net/publication/352977770_INTERACTIONS_BETWEEN_FINANCIAL_ INDICATORS_
AND_BANK_FINANCIAL_STRENGTH_RATINGS_A_CASE_STUDY_ON_BRIC_COUNTRIES
https://www.researchgate.net/publication/260943050_Forecasting_Bank_Credit_Ratings
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