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研究生:袁倫淇
研究生(外文):Lun-Chi Yuan
論文名稱:銀行多角化經營與關係企業網絡密度對銀行經營風險之影響
論文名稱(外文):Analysis of the Relationship Between Bank Risk, Diversification, and Group Network Density
指導教授:趙莊敏趙莊敏引用關係
口試委員:李福慶林鳳儀
口試日期:2008-06-25
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:商業自動化與管理研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:62
中文關鍵詞:銀行多角化關係網絡密度盈餘變異性
外文關鍵詞:Bank diversificationGroup network densityearnings volatilityz-score
相關次數:
  • 被引用被引用:1
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本研究為衡量銀行多角化經營與關係企業網絡密度對銀行經營風險之影響,以包含波動性與獲利性概念之指標z-score作為風險變數。另外為了使實證結果更具分析性,再以槓桿架構盈餘變異模式以及平均資產報酬率作為衡量企業營運波動性以及獲利性的代理變數。本文有別於前人研究,以銀行所屬集團之關係網絡密度做為解釋變數。而研究結果發現,集團關係網絡密度對於z-score有顯著負向的影響,對於銀行經營來說,銀行所屬集團企業間的關係越是密切,連結越是緊密,則銀行的經營風險相對較高。至於在銀行多角化方面,以手續費收入佔總營收比例,對z-score有顯著負向的影響,增加以手續費收入佔總營收比例則會增加銀行經營風險。以利息收入業務佔總營收比例對營收變異程度有顯著負向的影響,手續費收入佔總營收比例與營收變異有顯著正向的影響。綜合來說,手續費收入比例會造成盈餘變異程度變大。而手續費收入比例與平均報酬率呈現顯著正向變動。
This study investigates whether the activities of diversification conducted by banks influence their risk taking. But not only banks or finance institute take diversification activities, the business conglomerates which combine a bank and nonblank firms do so. With the viewpoint of corporate governance, we further analyze the impact of group network density between a bank and its related corporates. We use z-score value to be the bank’s bankruptcy risk proxy, and analyze earnings volatility with Total Leverage Framework method. We find that fee-based activities revenue proportion is positive related to both higher revenue volatility and higher total leverage, which in this framework implies higher earnings volatility and does not reduce bank’s bankruptcy probability. Group network density is also positive related to bank’s bankruptcy probability.
摘 要 I
ABSTRACT II
誌 謝 III
目 錄 IV
表目錄 VI
圖目錄 VII
第一章 緒論 1
1.1 研究背景與動機 1
1.1.1 銀行多角化經營 1
1.1.2 銀行與關係集團 6
1.2 研究目的 9
1.3 研究架構 10
1.4 研究流程 11
第二章 相關文獻探討 12
2.1銀行風險 12
2.1.1 風險分類 12
2.1.2 風險指標 14
2.2 銀行多角化經營 17
2.2.1 銀行多角化經營與風險 17
2.2.2多角化與盈餘變異性 19
2.3 銀行及集團企業 20
2.3.1 銀行與集團企業連結之優點 20
2.3.2 銀行與集團企業連結之風險相關研究 21
2.4 網絡關係 24
2.4.1. 社會網絡研究的起源與發展 25
2.4.2. 社會網絡分析的步驟 27
2.4.3. 社會網絡分析的應用 28
2.5 小結 30
第三章 研究方法 32
3.1 z-score 32
3.2 銀行盈餘變異性與獲利性 33
3.3 集團企業關係網絡密度衡量 36
3.4 實證模型建立 38
第四章 實證結果分析 40
4.1 資料來源 40
4.2 結果分析 42
4.2.1 銀行多角化與集團關係網絡密度對銀行z-score之影響 43
4.2.2 多角化與集團關係網絡密度對銀行營收變異之影響 45
4.2.3 多角化與集團關係網絡密度對銀行總槓桿度之影響 47
4.2.4 多角化與集團關係網絡密度對平均資產報酬率之影響 49
第五章 結論與建議 50
5.1 結論 50
5.2 研究建議 51
5.3 未來研究建議 52
參考文獻 53
英文部分 53
中文部份 61
英文部分
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