The Dynamic Relationship Between Mortgage Loan and Macroeconomics Variables for Agricultural Financial Institutes-Case Study of X Farmers’ Association

碩士 === 淡江大學 === 財務金融學系碩士在職專班 === 100 === Among the operating performance of the agricultural financial institutions, the highest proportion of contribution is real estate loans. In this study, we select the more urbanization farmers’ association during the two decades. We first apply the OLS model t...

Full description

Bibliographic Details
Main Authors: Shou-Ming Shih, 石壽明
Other Authors: Dr. Wo-Chiang Lee
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/22119932815141700043
id ndltd-TW-100TKU05304029
record_format oai_dc
spelling ndltd-TW-100TKU053040292015-10-13T21:27:35Z http://ndltd.ncl.edu.tw/handle/22119932815141700043 The Dynamic Relationship Between Mortgage Loan and Macroeconomics Variables for Agricultural Financial Institutes-Case Study of X Farmers’ Association 農業金融機構不動產放款與總體變數之動態關連性-X農會個案研究 Shou-Ming Shih 石壽明 碩士 淡江大學 財務金融學系碩士在職專班 100 Among the operating performance of the agricultural financial institutions, the highest proportion of contribution is real estate loans. In this study, we select the more urbanization farmers’ association during the two decades. We first apply the OLS model to investigate the correlation between real estate loan of farmers'' associations and four related macroeconomic variables. The empirical results show that M1B, stock index, monitoring indicators, CPI and M1B * Stock Price Index (cross multiply term) are significant on the loan amount. Where M1B has a positive impact on the loan.amount. Stock index was negative correlated with the loan amount. Monitoring indicators has a positive significant correlation with the loan amount. Moreover, the CPI index exhibits a negative change to the loan amount. M1B * Stock Price index (cross multiply term) has a positive change to the loan amount. We further to apply the quantile regression model to investigate significant of the variables to different quantile loan amount. The results represent that most of the variables has the same sign with OLS model except monitoring indicators. The results can provide for agricultural financial institutions as the policy reference which’s risk-taking ability is relatively weak and increasingly competitive. Dr. Wo-Chiang Lee 李沃牆博士 2012 學位論文 ; thesis 75 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 淡江大學 === 財務金融學系碩士在職專班 === 100 === Among the operating performance of the agricultural financial institutions, the highest proportion of contribution is real estate loans. In this study, we select the more urbanization farmers’ association during the two decades. We first apply the OLS model to investigate the correlation between real estate loan of farmers'' associations and four related macroeconomic variables. The empirical results show that M1B, stock index, monitoring indicators, CPI and M1B * Stock Price Index (cross multiply term) are significant on the loan amount. Where M1B has a positive impact on the loan.amount. Stock index was negative correlated with the loan amount. Monitoring indicators has a positive significant correlation with the loan amount. Moreover, the CPI index exhibits a negative change to the loan amount. M1B * Stock Price index (cross multiply term) has a positive change to the loan amount. We further to apply the quantile regression model to investigate significant of the variables to different quantile loan amount. The results represent that most of the variables has the same sign with OLS model except monitoring indicators. The results can provide for agricultural financial institutions as the policy reference which’s risk-taking ability is relatively weak and increasingly competitive.
author2 Dr. Wo-Chiang Lee
author_facet Dr. Wo-Chiang Lee
Shou-Ming Shih
石壽明
author Shou-Ming Shih
石壽明
spellingShingle Shou-Ming Shih
石壽明
The Dynamic Relationship Between Mortgage Loan and Macroeconomics Variables for Agricultural Financial Institutes-Case Study of X Farmers’ Association
author_sort Shou-Ming Shih
title The Dynamic Relationship Between Mortgage Loan and Macroeconomics Variables for Agricultural Financial Institutes-Case Study of X Farmers’ Association
title_short The Dynamic Relationship Between Mortgage Loan and Macroeconomics Variables for Agricultural Financial Institutes-Case Study of X Farmers’ Association
title_full The Dynamic Relationship Between Mortgage Loan and Macroeconomics Variables for Agricultural Financial Institutes-Case Study of X Farmers’ Association
title_fullStr The Dynamic Relationship Between Mortgage Loan and Macroeconomics Variables for Agricultural Financial Institutes-Case Study of X Farmers’ Association
title_full_unstemmed The Dynamic Relationship Between Mortgage Loan and Macroeconomics Variables for Agricultural Financial Institutes-Case Study of X Farmers’ Association
title_sort dynamic relationship between mortgage loan and macroeconomics variables for agricultural financial institutes-case study of x farmers’ association
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/22119932815141700043
work_keys_str_mv AT shoumingshih thedynamicrelationshipbetweenmortgageloanandmacroeconomicsvariablesforagriculturalfinancialinstitutescasestudyofxfarmersassociation
AT shíshòumíng thedynamicrelationshipbetweenmortgageloanandmacroeconomicsvariablesforagriculturalfinancialinstitutescasestudyofxfarmersassociation
AT shoumingshih nóngyèjīnróngjīgòubùdòngchǎnfàngkuǎnyǔzǒngtǐbiànshùzhīdòngtàiguānliánxìngxnónghuìgèànyánjiū
AT shíshòumíng nóngyèjīnróngjīgòubùdòngchǎnfàngkuǎnyǔzǒngtǐbiànshùzhīdòngtàiguānliánxìngxnónghuìgèànyánjiū
AT shoumingshih dynamicrelationshipbetweenmortgageloanandmacroeconomicsvariablesforagriculturalfinancialinstitutescasestudyofxfarmersassociation
AT shíshòumíng dynamicrelationshipbetweenmortgageloanandmacroeconomicsvariablesforagriculturalfinancialinstitutescasestudyofxfarmersassociation
_version_ 1718064030726225920