Spillover Effect of Credit Risk-Empirical Evidence from Listing Companies in Taiwan

碩士 === 國立高雄科技大學 === 金融資訊系 === 107 === In the study, we use distance to default (DD) from KMV model to measure the credit risk. We use a vector autoregression model (VAR) and variance decomposition to examine spillover effect of credit risk, where the change of DD is endogenous variable and macroecon...

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Main Authors: CHENG, NING, 鄭寧
Other Authors: CHANG, CHIA-CHIEN
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/6y772e
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spelling ndltd-TW-107NKUS02130062019-06-27T05:42:57Z http://ndltd.ncl.edu.tw/handle/6y772e Spillover Effect of Credit Risk-Empirical Evidence from Listing Companies in Taiwan 信用風險之外溢效果-以台灣上市櫃公司為例 CHENG, NING 鄭寧 碩士 國立高雄科技大學 金融資訊系 107 In the study, we use distance to default (DD) from KMV model to measure the credit risk. We use a vector autoregression model (VAR) and variance decomposition to examine spillover effect of credit risk, where the change of DD is endogenous variable and macroeconomic factors are exogenous variables. Based on the research period including the financial crisis and European debt crisis, we divided the full sample period into two periods, 2007-2012 as the crisis period, and 2003-2006 and 2013-2017 as the non-crisis period. We further investigate whether they have the different spillover effect in different period. The empirical result shows that credit risks of traditional industries and of electronics industries are mainly impacted by themselves. Moreover, traditional industries and electronics industries can influence each other. The credit risk of emerging industries does not spillover to other industries, whereas credit risks of traditional industries and electronics industries can spillover to emerging industries. Hence, the spillover effect of credit risk are asymmetry. CHANG, CHIA-CHIEN 張嘉倩 2019 學位論文 ; thesis 78 zh-TW
collection NDLTD
language zh-TW
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description 碩士 === 國立高雄科技大學 === 金融資訊系 === 107 === In the study, we use distance to default (DD) from KMV model to measure the credit risk. We use a vector autoregression model (VAR) and variance decomposition to examine spillover effect of credit risk, where the change of DD is endogenous variable and macroeconomic factors are exogenous variables. Based on the research period including the financial crisis and European debt crisis, we divided the full sample period into two periods, 2007-2012 as the crisis period, and 2003-2006 and 2013-2017 as the non-crisis period. We further investigate whether they have the different spillover effect in different period. The empirical result shows that credit risks of traditional industries and of electronics industries are mainly impacted by themselves. Moreover, traditional industries and electronics industries can influence each other. The credit risk of emerging industries does not spillover to other industries, whereas credit risks of traditional industries and electronics industries can spillover to emerging industries. Hence, the spillover effect of credit risk are asymmetry.
author2 CHANG, CHIA-CHIEN
author_facet CHANG, CHIA-CHIEN
CHENG, NING
鄭寧
author CHENG, NING
鄭寧
spellingShingle CHENG, NING
鄭寧
Spillover Effect of Credit Risk-Empirical Evidence from Listing Companies in Taiwan
author_sort CHENG, NING
title Spillover Effect of Credit Risk-Empirical Evidence from Listing Companies in Taiwan
title_short Spillover Effect of Credit Risk-Empirical Evidence from Listing Companies in Taiwan
title_full Spillover Effect of Credit Risk-Empirical Evidence from Listing Companies in Taiwan
title_fullStr Spillover Effect of Credit Risk-Empirical Evidence from Listing Companies in Taiwan
title_full_unstemmed Spillover Effect of Credit Risk-Empirical Evidence from Listing Companies in Taiwan
title_sort spillover effect of credit risk-empirical evidence from listing companies in taiwan
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/6y772e
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