Risk assessment of the credit guarantee fund by considering the government policy :2-stage restricted simulation.

碩士 === 東吳大學 === 資訊管理學系 === 99 ===   Small and medium enterprises (SMEs) in Taiwan approximately occupy 97.91% of total enterprises. The major characteristics of SMEs are small capital and limited resources. In addition, SMEs have the problems of the weak management and the pressure of short-term fin...

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Main Authors: Chih-hung Wang, 王志弘
Other Authors: Jih-Jeng Huang
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/82912145146966627103
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spelling ndltd-TW-099SCU053960272016-04-11T04:22:42Z http://ndltd.ncl.edu.tw/handle/82912145146966627103 Risk assessment of the credit guarantee fund by considering the government policy :2-stage restricted simulation. 信用保證基金保證風險與政府政策達成之風險評估:二階段受限模擬法 Chih-hung Wang 王志弘 碩士 東吳大學 資訊管理學系 99   Small and medium enterprises (SMEs) in Taiwan approximately occupy 97.91% of total enterprises. The major characteristics of SMEs are small capital and limited resources. In addition, SMEs have the problems of the weak management and the pressure of short-term financing challenges, especially when the economics turns down, such as the financial crisis in 2007. Therefore, the government in Taiwan set up the SME Credit Guarantee Fund (SMEG) to strengthen the will of the financial institutions to loan SMEs. The purposes of the SMEG are to seek the minimum guaranteed risk and achieve the governmental policies simultaneously. Therefore, this paper provided a two-stage limited simulation method to help SMEG to obtain the above objectives. The empirical results in this paper shown the new default rates are 2.0864%, 1.3249% and 0.6095%, respectively, over the period 2008-2010. These default rates indicated that the proposed method reduces the actual default rates 1.0736%, 0.7051% and 0.3505%, respectively. Jih-Jeng Huang 黃日鉦 2011 學位論文 ; thesis 60 zh-TW
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description 碩士 === 東吳大學 === 資訊管理學系 === 99 ===   Small and medium enterprises (SMEs) in Taiwan approximately occupy 97.91% of total enterprises. The major characteristics of SMEs are small capital and limited resources. In addition, SMEs have the problems of the weak management and the pressure of short-term financing challenges, especially when the economics turns down, such as the financial crisis in 2007. Therefore, the government in Taiwan set up the SME Credit Guarantee Fund (SMEG) to strengthen the will of the financial institutions to loan SMEs. The purposes of the SMEG are to seek the minimum guaranteed risk and achieve the governmental policies simultaneously. Therefore, this paper provided a two-stage limited simulation method to help SMEG to obtain the above objectives. The empirical results in this paper shown the new default rates are 2.0864%, 1.3249% and 0.6095%, respectively, over the period 2008-2010. These default rates indicated that the proposed method reduces the actual default rates 1.0736%, 0.7051% and 0.3505%, respectively.
author2 Jih-Jeng Huang
author_facet Jih-Jeng Huang
Chih-hung Wang
王志弘
author Chih-hung Wang
王志弘
spellingShingle Chih-hung Wang
王志弘
Risk assessment of the credit guarantee fund by considering the government policy :2-stage restricted simulation.
author_sort Chih-hung Wang
title Risk assessment of the credit guarantee fund by considering the government policy :2-stage restricted simulation.
title_short Risk assessment of the credit guarantee fund by considering the government policy :2-stage restricted simulation.
title_full Risk assessment of the credit guarantee fund by considering the government policy :2-stage restricted simulation.
title_fullStr Risk assessment of the credit guarantee fund by considering the government policy :2-stage restricted simulation.
title_full_unstemmed Risk assessment of the credit guarantee fund by considering the government policy :2-stage restricted simulation.
title_sort risk assessment of the credit guarantee fund by considering the government policy :2-stage restricted simulation.
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/82912145146966627103
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