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研究生:廖宏偉
研究生(外文):Hung-Wei Liao
論文名稱:抗循環資本緩衝與銀行信用風險
論文名稱(外文):Countercyclical Buffer and Bank Credit Risk
指導教授:廖咸興廖咸興引用關係
口試委員:陳聖賢胡星陽陳宗岡
口試日期:2013-06-24
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:財務金融學研究所
學門:商業及管理學門
學類:財務金融學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:英文
論文頁數:48
中文關鍵詞:抗循環資本緩衝信用風險風險性資本景氣循環巴賽爾協定
外文關鍵詞:Countercyclical bufferCredit riskRisk-based capitalBusiness CycleBasel III
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在新實施的巴賽爾協定三中,以總體審慎監理為考量,提出抗循環資本緩衝(Countercyclical Buffer) 以降低金融體系與信用市場順景氣循環、加劇景氣波動的特性。本文以結構型模型的觀點,探討抗循環資本緩衝除減緩順景氣循環外,是否有降低銀行信用風險的額外效果。本研究發展出新的代理變數,衡量銀行在法規實施前,自主提存抗循環資本緩衝的程度。實證結果顯示,愈具有自主提存抗循環資本緩衝傾向的銀行,在不同信用風險的衡量指標下,都顯示有較低的信用風險,此結果對抗循環資本緩衝的效果,提供總體審慎以外的觀點。此外,實證結果亦顯示,愈具有自主提存抗循環資本緩衝傾向的銀行,獲利能力愈強。

Countercyclical buffer is proposed as a macro-prudential mechanism to alleviate the pro-cyclicality of credit supply. This paper aims to investigate the additional benefits from the countercyclical buffer. From the perspective of structural-from credit model, this paper investigates the effects of countercyclical buffer on bank credit risk. We employ a newly developed proxy to capture the countercyclical buffer before its implementation. Four different credit risk proxies suggested by previous studies are included in this paper. The empirical results show that countercyclical buffer has significant effects on reducing bank credit risk. Additionally, we find the positive effects of countercyclical buffer on bank profitability.

致謝 i
摘要 ii
Abstract iii
I. Introduction 1
II. Hypotheses 7
III. Data and Methodology 11
III.1. Sample Selection 11
III.2. Proxy for Voluntary Countercyclical Buffer 11
III.2.A. Determine the Target Capital Structure 12
III.2.B. Definition of Excess Credit Growth and Credit Contraction Period 14
III.2.C. Buffer Difference (BD) 15
III.2.D. Interaction Term of BD and business cycle (Cycle) 16
III.3. Credit Risk Proxies and Control Variables 17
III.3.A. Credit Rating (Ratings) 17
III.3.B. Nonperforming Loan Ratio (NPL) 17
III.3.C. ROA Volatility (ROA_Vol) 17
III.3.D. Equity Volatility (Volatility) 18
III.3.E. Control Variables 18
III.4. Summary Statistics 21
IV. Empirical Results 23
IV.1. Empirical Result 23
IV.2. Robustness Check 25
IV.2.A. Definitions of Voluntary Countercyclical Buffer 25
IV.2.B. Definition of Risk Proxies 26
IV.2.C. Regression Analysis Models 27
IV.2.D. Capital Buffer as a Control Variable 29
IV.2.E. Additional Findings 29
V. Conclusion 31
References 32




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