SHORT-TERM FORECASTING OF MORTGAGE LENDING

The article considers the methodological and algorithmic problems arising in modeling and forecasting of time series of mortgage loans. Focuses on the processes of formation of the levels of time series of mortgage loans and the problem of choice and identification of models in the conditions of sma...

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Main Authors: Irina V. Orlova, Viktor B. Turundaevskiy
Format: Article
Language:Russian
Published: Plekhanov Russian University of Economics 2016-08-01
Series:Статистика и экономика
Subjects:
Online Access:https://statecon.rea.ru/jour/article/view/326
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author Irina V. Orlova
Viktor B. Turundaevskiy
author_facet Irina V. Orlova
Viktor B. Turundaevskiy
author_sort Irina V. Orlova
collection DOAJ
description The article considers the methodological and algorithmic problems arising in modeling and forecasting of time series of mortgage loans. Focuses on the processes of formation of the levels of time series of mortgage loans and the problem of choice and identification of models in the conditions of small samples. For forecasting options are selected and implemented a model of autoregressive and moving average, which allowed to obtain reliable forecasts.
format Article
id doaj-art-261349cc22af45e89ba64301f7017bf0
institution DOAJ
issn 2500-3925
language Russian
publishDate 2016-08-01
publisher Plekhanov Russian University of Economics
record_format Article
series Статистика и экономика
spelling doaj-art-261349cc22af45e89ba64301f7017bf02025-08-20T03:20:56ZrusPlekhanov Russian University of EconomicsСтатистика и экономика2500-39252016-08-010617517710.21686/2500-3925-2013-6-175-177325SHORT-TERM FORECASTING OF MORTGAGE LENDINGIrina V. Orlova0Viktor B. Turundaevskiy1Financial Academy under the Government of the Russian FederationMoscow state University of Economics, statistics and Informatics (MESI)The article considers the methodological and algorithmic problems arising in modeling and forecasting of time series of mortgage loans. Focuses on the processes of formation of the levels of time series of mortgage loans and the problem of choice and identification of models in the conditions of small samples. For forecasting options are selected and implemented a model of autoregressive and moving average, which allowed to obtain reliable forecasts.https://statecon.rea.ru/jour/article/view/326ипотечное кредитованиеметоды краткосрочного прогнозированиямодель авторегрессии и проинтегрированного скользящего среднего (арисс)адекватность моделей прогнозированияточность прогнозовmortgage lendingmethods of short-term forecasting model of autoregressive and auto moving average model (аrima)the adequacy of the models of forecastingaccuracy of forecasts
spellingShingle Irina V. Orlova
Viktor B. Turundaevskiy
SHORT-TERM FORECASTING OF MORTGAGE LENDING
Статистика и экономика
ипотечное кредитование
методы краткосрочного прогнозирования
модель авторегрессии и проинтегрированного скользящего среднего (арисс)
адекватность моделей прогнозирования
точность прогнозов
mortgage lending
methods of short-term forecasting model of autoregressive and auto moving average model (аrima)
the adequacy of the models of forecasting
accuracy of forecasts
title SHORT-TERM FORECASTING OF MORTGAGE LENDING
title_full SHORT-TERM FORECASTING OF MORTGAGE LENDING
title_fullStr SHORT-TERM FORECASTING OF MORTGAGE LENDING
title_full_unstemmed SHORT-TERM FORECASTING OF MORTGAGE LENDING
title_short SHORT-TERM FORECASTING OF MORTGAGE LENDING
title_sort short term forecasting of mortgage lending
topic ипотечное кредитование
методы краткосрочного прогнозирования
модель авторегрессии и проинтегрированного скользящего среднего (арисс)
адекватность моделей прогнозирования
точность прогнозов
mortgage lending
methods of short-term forecasting model of autoregressive and auto moving average model (аrima)
the adequacy of the models of forecasting
accuracy of forecasts
url https://statecon.rea.ru/jour/article/view/326
work_keys_str_mv AT irinavorlova shorttermforecastingofmortgagelending
AT viktorbturundaevskiy shorttermforecastingofmortgagelending