Banks Income Forecasting Based on Deposits Composition Using Response Surface Methodology

<span style="font-size: small;"><span style="font-family: Times New Roman;">In this study, the impact of independent variables including current deposits, investment deposits, saving deposits, long-term investment deposits, short term investment deposits and other dep...

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Main Authors: Ezatollah abbasian, Ehsan Saniee
Format: Article
Language:fas
Published: University of Tehran 2017-12-01
Series:تحقیقات مالی
Subjects:
Online Access:https://jfr.ut.ac.ir/article_66708_1800c0245c3ac64e13f5de29531b16ac.pdf
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author Ezatollah abbasian
Ehsan Saniee
author_facet Ezatollah abbasian
Ehsan Saniee
author_sort Ezatollah abbasian
collection DOAJ
description <span style="font-size: small;"><span style="font-family: Times New Roman;">In this study, the impact of independent variables including current deposits, investment deposits, saving deposits, long-term investment deposits, short term investment deposits and other deposits on total bank income based onresponse surface methodology is evaluated. For this purpose, central composite design with 5 independent variables and 1 dependent variable is used. Data analysis was done using Quadratic regression. The statistical population of the study includes data from Eghtesade Novin, Parsian, Pasargad, Post Bank, Tejarat, Export Development Bank, Refah, Saman, Sepah, Sarmayeh, Sina, Karafarin, Bank of Industry and Mine, Melli, Mellat, Maskan and Keshavarzi banks during 2005-2013. The results showed that current deposits, investment deposits, saving deposits, long-term and short-term investment deposits have significantly positive impact on total bank incomes, but the other types of deposits have negative impact on bank income. In addition, the estimation accuracy for response surface methodology, in this research, is 95%.</span></span> <span style="font-family: Times New Roman; font-size: small;"> </span>
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spelling doaj.art-9db0d761ca294c149755fdcb3d91a8dc2022-12-22T02:11:19ZfasUniversity of Tehranتحقیقات مالی1024-81532423-53772017-12-0119457959410.22059/jfr.2018.248037.100656966708Banks Income Forecasting Based on Deposits Composition Using Response Surface MethodologyEzatollah abbasian0Ehsan Saniee1Associate Prof., Faculty of Economics and Social Sciences, Bu Ali Sina University, Hamedan, IranPh.D. Student in Financial Economics ,Faculty of Economics and Social Sciences, University of Bu Ali Sina, Hamedan, Iran<span style="font-size: small;"><span style="font-family: Times New Roman;">In this study, the impact of independent variables including current deposits, investment deposits, saving deposits, long-term investment deposits, short term investment deposits and other deposits on total bank income based onresponse surface methodology is evaluated. For this purpose, central composite design with 5 independent variables and 1 dependent variable is used. Data analysis was done using Quadratic regression. The statistical population of the study includes data from Eghtesade Novin, Parsian, Pasargad, Post Bank, Tejarat, Export Development Bank, Refah, Saman, Sepah, Sarmayeh, Sina, Karafarin, Bank of Industry and Mine, Melli, Mellat, Maskan and Keshavarzi banks during 2005-2013. The results showed that current deposits, investment deposits, saving deposits, long-term and short-term investment deposits have significantly positive impact on total bank incomes, but the other types of deposits have negative impact on bank income. In addition, the estimation accuracy for response surface methodology, in this research, is 95%.</span></span> <span style="font-family: Times New Roman; font-size: small;"> </span>https://jfr.ut.ac.ir/article_66708_1800c0245c3ac64e13f5de29531b16ac.pdfbank incomedeposits compositionlong term depositresponse surface methodologyshort term deposit
spellingShingle Ezatollah abbasian
Ehsan Saniee
Banks Income Forecasting Based on Deposits Composition Using Response Surface Methodology
تحقیقات مالی
bank income
deposits composition
long term deposit
response surface methodology
short term deposit
title Banks Income Forecasting Based on Deposits Composition Using Response Surface Methodology
title_full Banks Income Forecasting Based on Deposits Composition Using Response Surface Methodology
title_fullStr Banks Income Forecasting Based on Deposits Composition Using Response Surface Methodology
title_full_unstemmed Banks Income Forecasting Based on Deposits Composition Using Response Surface Methodology
title_short Banks Income Forecasting Based on Deposits Composition Using Response Surface Methodology
title_sort banks income forecasting based on deposits composition using response surface methodology
topic bank income
deposits composition
long term deposit
response surface methodology
short term deposit
url https://jfr.ut.ac.ir/article_66708_1800c0245c3ac64e13f5de29531b16ac.pdf
work_keys_str_mv AT ezatollahabbasian banksincomeforecastingbasedondepositscompositionusingresponsesurfacemethodology
AT ehsansaniee banksincomeforecastingbasedondepositscompositionusingresponsesurfacemethodology