Bank Compliance Risk and Liquidity Creation

碩士 === 國立高雄第一科技大學 === 金融系碩士班金融組 === 104 === We argue that the compliance risk events would injure reputation of banks and decrease their ability of liquidity creation. A sample which consists of 31 banks from Taiwan over the period 2004 to 2014 is used to test the proposition. Indicators from Berger...

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Main Authors: Tzu-Chien Sun, 孫子茜
Other Authors: Horace Chueh
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/52684595682150545382
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spelling ndltd-TW-104NKIT56670082016-06-20T04:16:31Z http://ndltd.ncl.edu.tw/handle/52684595682150545382 Bank Compliance Risk and Liquidity Creation 銀行合規風險與流動性創造 Tzu-Chien Sun 孫子茜 碩士 國立高雄第一科技大學 金融系碩士班金融組 104 We argue that the compliance risk events would injure reputation of banks and decrease their ability of liquidity creation. A sample which consists of 31 banks from Taiwan over the period 2004 to 2014 is used to test the proposition. Indicators from Berger and Bouwman (2009) adapted by Chueh et al. (2013; 2014) are used to measure liquidity creation. Compliance risk is measured by the number of compliance risk events reported on the news from TEJ database. Dynamic panel data model is employed to test the relationship between compliance risk events and liquidity creation. The result shows that banks with more compliance risk events have significantly lower liquidity creation and small banks reducing more. It means that compliance risk events hurt banks’ ability of liquidity creation. In addition, the evidence also documents that bank capital, asset size, earnings volatility, inside directors, and revenue diversification can affect liquidity creation. Horace Chueh 闕河士 2015 學位論文 ; thesis 56 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立高雄第一科技大學 === 金融系碩士班金融組 === 104 === We argue that the compliance risk events would injure reputation of banks and decrease their ability of liquidity creation. A sample which consists of 31 banks from Taiwan over the period 2004 to 2014 is used to test the proposition. Indicators from Berger and Bouwman (2009) adapted by Chueh et al. (2013; 2014) are used to measure liquidity creation. Compliance risk is measured by the number of compliance risk events reported on the news from TEJ database. Dynamic panel data model is employed to test the relationship between compliance risk events and liquidity creation. The result shows that banks with more compliance risk events have significantly lower liquidity creation and small banks reducing more. It means that compliance risk events hurt banks’ ability of liquidity creation. In addition, the evidence also documents that bank capital, asset size, earnings volatility, inside directors, and revenue diversification can affect liquidity creation.
author2 Horace Chueh
author_facet Horace Chueh
Tzu-Chien Sun
孫子茜
author Tzu-Chien Sun
孫子茜
spellingShingle Tzu-Chien Sun
孫子茜
Bank Compliance Risk and Liquidity Creation
author_sort Tzu-Chien Sun
title Bank Compliance Risk and Liquidity Creation
title_short Bank Compliance Risk and Liquidity Creation
title_full Bank Compliance Risk and Liquidity Creation
title_fullStr Bank Compliance Risk and Liquidity Creation
title_full_unstemmed Bank Compliance Risk and Liquidity Creation
title_sort bank compliance risk and liquidity creation
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/52684595682150545382
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