融資流動性風險與銀行風險承擔及經營績效;Funding liquidity risk, bank risk taking and performance

NCUIR > School of Management at National Central University > Graduate Institute of Finance > Electronic Thesis & Dissertation > Item 987654321/74343

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/74343

Title:	融資流動性風險與銀行風險承擔及經營績效;Funding liquidity risk, bank risk taking and performance
Authors:	王品涵;Wang, Pin-Han
Contributors:	財務金融學系
Keywords:	融資流動性風險;新巴賽爾資本協定;淨穩定資金比率
Date:	2017-06-28
Issue Date:	2017-10-27 13:49:24 (UTC+8)
Publisher:	國立中央大學
Abstract:	2007-2008年全球金融危機，反映銀行過度仰賴短期批發性資金以擴大資產規模，而陷入財務危機，彰顯銀行未能審慎管理融資流動性風險。2010年巴賽爾銀行監理委員會(BCBS)訂定兩個流動性風險管理指標—流動性覆蓋比率(LCR)以及淨穩定資金比率(NSFR)，以強化銀行因應流動性風險的能力。本研究主要利用Basel III架構下的NSFR，作為融資流動性風險的代理變數，探討中國商業銀行在2007年第一季至2015年第四季間，融資流動性風險對於銀行風險承擔、以及經營績效的影響。此外，進一步探討融資流動性風險與銀行風險以及績效之關係，是否因中國銀行體系分類，或是金融危機期間而有差異。本研究實證結果發現，NSFR與銀行的風險承擔沒有顯著關係，而NSFR愈高，風險調整後績效表現愈好，亦即銀行資金來源穩定性愈高，融資流動性風險愈低，有利於提升銀行的經營績效，且不會因不同銀行組織，以及不論是否處於金融危機期間而有差異。此外，本研究發現Schnytzer and Westreich (2013) 提出的Q風險指標，相較於股價報酬標準差，更能捕捉銀行整體經營風險。;The 2007-2008 global financial crisis revealed weakness in the funding liquidity management in financial institutions. In 2010, the Basel Committee on Banking Supervision (BCBS) introduced the net stable funding ratio (NSFR) to promote sustainable funding structures in the new Basel III. This study consider NSFR as the proxy for funding liquidity risk, and the objective of this study is to investigate the impact of funding liquidity risk on bank risk taking and performance. Furthermore, we analyze the interaction effect of NSFR with China’s banking organizations and NSFR with the crisis period on banks’ risk and performance. Using quarterly data for China’s commercial banks from 2007 to 2015, our results show that NSFR is not significantly related to risk measures. However, banks having lower funding liquidity risk as proxied by higher NSFR, exhibit higher risk-adjusted performance. And the relationship between NSFR and performance does not vary with different china’s banking organizations and during the financial crisis period. Moreover, we find that Q index introduced by Schnytzer and Westreich (2013), compared to the standard deviation of bank stock returns, better captures banks’ overall risk.
Appears in Collections:	[Graduate Institute of Finance] Electronic Thesis & Dissertation

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