<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Ð”Ð°Ð½Ð½Ð°Ñ Ñ€Ð°Ð±Ð¾Ñ‚Ð° поÑвÑщена иÑÑледованию Ñекьюритизации ипотечных активов коммерчеÑких банков. Объект иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ - ипотечные активы. Предмет иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ - ÑÐµÐºÑŒÑŽÑ€Ð¸Ñ‚Ð¸Ð·Ð°Ñ†Ð¸Ñ Ð¸Ð¿Ð¾Ñ‚ÐµÑ‡Ð½Ñ‹Ñ… активов как финанÑÐ¾Ð²Ð°Ñ Ñ‚ÐµÑ…Ð½Ð¸ÐºÐ°. Цель - анализ оÑобенноÑтей Ñовременной Ñ Ñекьюритизации ипотечных активов и разработка прогнозной модели оценки объемов Ñекьюритизации. Задачи, которые решалиÑÑŒ в ходе иÑÑледованиÑ: 1. Изучение ÑкономичеÑкого ÑÐ¾Ð´ÐµÑ€Ð¶Ð°Ð½Ð¸Ñ Ñекьюритизации ипотечных активов, ее характериÑтик, видов, а также формирование Ñовременного механизма ипотечной Ñекьюритизации в РоÑÑии. 2. Ðнализ зарубежного опыта Ñекьюритизации ипотечных активов: СШÐ, Ñтраны ЕС, ЯпониÑ. 3. Ðнализ Ñделок Ñекьюритизации ипотечных активов и ипотечных облигаций в РоÑÑии за 2020 год. 4. Ð’Ñ‹Ñвление факторов влиÑÐ½Ð¸Ñ COVID-19 на ипотечную Ñекьюритизацию. 5. ПоÑтроение ÑтатиÑтичеÑкой модели и подтверждение выдвинутой гипотезы о влиÑнии короновируÑной инфекции на чиÑло Ñделок ипотечной Ñекьюритизации. Работа проведена на базе данных информационно-аналитичеÑкого портала «ДОМ.РФ» («ÐИЖК»). Ð’ результате проведенного анализа при помощи ÑконометричеÑких раÑчетов была подтверждена Ð²Ñ‹Ð´Ð²Ð¸Ð½ÑƒÑ‚Ð°Ñ Ð³Ð¸Ð¿Ð¾Ñ‚ÐµÐ·Ð° и Ñделаны выводы об отÑутÑтвии влиÑÐ½Ð¸Ñ COVID-19 на ипотечную Ñекьюритизацию. Фактор «чиÑло заболевших короновируÑной инфекцией» был признан ÑтатиÑтичеÑки-незначимым в анализируемом уравнении множеÑтвенной регреÑÑии.
This work is devoted to the study of the securitization of mortgage assets of commercial banks. The object of research is mortgage assets. The subject of the research is the securitization of mortgage assets as a financial technique. The goal is to analyze the features of modern mortgage assets securitization and develop a predictive model for assessing securitization volumes. Tasks that were solved in the course of the study: 1. Studying the economic content of securitization of mortgage assets, its characteristics, types, as well as the formation of a modern mechanism for mortgage securitization in Russia. 2. Analysis of foreign experience in securitization of mortgage assets: USA, EU countries, Japan. 3. Analysis of transactions of securitization of mortgage assets and mortgage bonds in Russia in 2020. 4. Identification of factors influencing COVID-19 on mortgage securitization. 5. Construction of a statistical model and confirmation of the hypothesis put forward about the influence of coronavirus infection on the number of mortgage securitization transactions. The work was carried out on the basis of the information and analytical portal "DOM.RF" ("AHML"). As a result of the analysis, using econometric calculations, the hypothesis was confirmed and conclusions were drawn about the absence of the impact of COVID-19 on mortgage securitization. The factor "the number of cases of coronavirus infection" was found to be statistically insignificant in the analyzed multiple regression equation.
securitization, mortgage, ипоÑека, ипоÑеÑное кÑедиÑование, ÑекÑÑÑиÑизаÑиÑ, mortgage lending
securitization, mortgage, ипоÑека, ипоÑеÑное кÑедиÑование, ÑекÑÑÑиÑизаÑиÑ, mortgage lending
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |