A Study On the Association Between Information Asymmetry, Corporate Characteristics, Stock Volatility and Bank Laon
碩士 === 開南管理學院 === 企業管理研究所 === 91 === The purpose of this article is to explore the decision to choose bank debt rather than public securities in a firm’s marginal financing choice. In addition, rely on the variance of information asymmetry , corporate scale ,growth opportunity, secured debt and indu...
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ndltd-TW-091KNU001210162015-10-13T17:01:35Z http://ndltd.ncl.edu.tw/handle/74128692345013858181 A Study On the Association Between Information Asymmetry, Corporate Characteristics, Stock Volatility and Bank Laon 資訊不對稱程度/公司特性/股價波動與銀行借款關係之研究 Hsiu-Jung Lu 呂莠蓉 碩士 開南管理學院 企業管理研究所 91 The purpose of this article is to explore the decision to choose bank debt rather than public securities in a firm’s marginal financing choice. In addition, rely on the variance of information asymmetry , corporate scale ,growth opportunity, secured debt and industry classification to discuss the effects result of choosing bank financing and to explore the effects on stock price of bank financing. Using a sample of 2187 events over the 1996 to 2001 time period. The method of market model and logit regression analysis are adopted. The empirical results can be summarized as follow : 1.The corporates with higher information asymmetry, ratio of bank debt will be an insignificantly positive. 2.The firms with large scale would have lower ratio of bank debt. 3.Firms with higher growth opportunity would have higher ratio of bank debt. 4.The bank financing announcement leads to an significantly positive on stock return. 5.The firms with large secured debt have significantly positive relationship with ratio of bank debt. 6.Different industries would have different ratio of bank debt. Wen-Shiung Lee 李文雄 2003 學位論文 ; thesis 87 zh-TW |
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碩士 === 開南管理學院 === 企業管理研究所 === 91 === The purpose of this article is to explore the decision to choose bank debt rather than public securities in a firm’s marginal financing choice. In addition, rely on the variance of information asymmetry , corporate scale ,growth opportunity, secured debt and industry classification to discuss the effects result of choosing bank financing and to explore the effects on stock price of bank financing. Using a sample of 2187 events over the 1996 to 2001 time period.
The method of market model and logit regression analysis are adopted. The empirical results can be summarized as follow :
1.The corporates with higher information asymmetry, ratio of
bank debt will be an insignificantly positive.
2.The firms with large scale would have lower ratio of bank
debt.
3.Firms with higher growth opportunity would have higher ratio
of bank debt.
4.The bank financing announcement leads to an significantly
positive on stock return.
5.The firms with large secured debt have significantly
positive relationship with ratio of bank debt.
6.Different industries would have different ratio of bank debt.
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author2 |
Wen-Shiung Lee |
author_facet |
Wen-Shiung Lee Hsiu-Jung Lu 呂莠蓉 |
author |
Hsiu-Jung Lu 呂莠蓉 |
spellingShingle |
Hsiu-Jung Lu 呂莠蓉 A Study On the Association Between Information Asymmetry, Corporate Characteristics, Stock Volatility and Bank Laon |
author_sort |
Hsiu-Jung Lu |
title |
A Study On the Association Between Information Asymmetry, Corporate Characteristics, Stock Volatility and Bank Laon |
title_short |
A Study On the Association Between Information Asymmetry, Corporate Characteristics, Stock Volatility and Bank Laon |
title_full |
A Study On the Association Between Information Asymmetry, Corporate Characteristics, Stock Volatility and Bank Laon |
title_fullStr |
A Study On the Association Between Information Asymmetry, Corporate Characteristics, Stock Volatility and Bank Laon |
title_full_unstemmed |
A Study On the Association Between Information Asymmetry, Corporate Characteristics, Stock Volatility and Bank Laon |
title_sort |
study on the association between information asymmetry, corporate characteristics, stock volatility and bank laon |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/74128692345013858181 |
work_keys_str_mv |
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