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Three Essays on the Impact of Monetary Policy Target Interest Rates on Bank Distress and Systemic Risk.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Three Essays on the Impact of Monetary Policy Target Interest Rates on Bank Distress and Systemic Risk./
作者:
Akcay, Mustafa.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
223 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-03, Section: A.
Contained By:
Dissertations Abstracts International80-03A.
標題:
Economics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10837668
ISBN:
9780438308190
Three Essays on the Impact of Monetary Policy Target Interest Rates on Bank Distress and Systemic Risk.
Akcay, Mustafa.
Three Essays on the Impact of Monetary Policy Target Interest Rates on Bank Distress and Systemic Risk.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 223 p.
Source: Dissertations Abstracts International, Volume: 80-03, Section: A.
Thesis (Ph.D.)--Temple University, 2018.
This item must not be sold to any third party vendors.
My dissertation topic is on the impact of changes in the monetary policy interest rate target on bank distress and systemic risk in the U.S. banking system. The financial crisis of 2007-2009 had devastating effects on the banking system worldwide. The feeble performance of financial institutions during the crisis heightened the necessity of understanding systemic risk exhibited the critical role of monitoring the banking system, and strongly necessitated quantification of the risks to which banks are exposed, for incorporation in policy formulation. In the aftermath of the crisis, US bank regulators focused on overhauling the then existing regulatory framework in order to provide comprehensive capital buffers against bank losses. In this context, the Basel Committee proposed in 2011, the Basel III framework in order to strengthen the regulatory capital structure as a buffer against bank losses. The reform under Basel III framework aimed at raising the quality and the quantity of regulatory capital base and enhancing the risk coverage of the capital structure. Separately, US bank regulators adopted the Dodd-Frank Wall Street Reform and Consumer Protection Act (2010) to implement stress tests on systemically important bank holding companies (SIBs). Concerns about system-wide distress have broadened the debate on banking regulation towards a macro prudential approach. In this context, limiting bank risk and systemic risk has become a prolific research field at the crossroads of banking, macroeconomics, econometrics, and network theory over the last decade (Kuritzkes et al., 2005; Goodhart and Sergoviano, 2008; Geluk et al., 2009; Acharya et al., 2010, 2017; Tarashev et al., 2010; Huang et al., 2012; Browless and Engle, 2012, 2017 and Cummins, 2014). The European Central Bank (ECB) (2010) defines systemic risk as a risk of financial instability "so widespread that it impairs the functioning of a financial system to the point where economic growth and welfare suffer materially." While US bank regulators and policy-makers have moved to strengthen the regulatory framework in the post-crisis period in order to prevent another financial crisis, a growing recent line of research has suggested that there is a significant link between monetary policy and bank distress (Bernanke, Gertler and Gilchrist, 1999; Borio and Zhu, 2008; Gertler and Kiyotaki, 2010; Delis and Kouretas, 2010; Gertler and Karadi, 2011; Delis et al., 2017). In my research, I examine the link between the monetary policy and bank distress. In the first chapter, I investigate the impact of the federal funds rate (FFR) changes on the banking system distress between 2001 and 2013 within an unrestricted vector auto-regression model. The Fed used FFR as a primary policy tool before the financial crisis of 2007-2009, but focused on quantitative easing (QE) during the crisis and post-crisis periods when the FFR hit the zero bound. I use the Taylor rule rate (TRR, 1993) as an "implied policy rate", instead of the FFR, to account for the impact of QE on the economy. The base model of distress includes three macroeconomic indicators-real GDP growth, inflation, and TRR-and a systemic risk indicator (Expected capital shortfall (ES)). I consider two model extensions; (i) I include a measure of bank lending standards to account for the changes in the systemic risk due to credit tightening, (ii) I replace inflation with house price growth rate to see if the results remain robust. Three main results can be drawn. First, the impulse response functions (IRFs) show that raising the monetary policy rate contributed to insolvency problems for the U.S. banks, with a one percentage point increase in the rate raising the banking systemic stress by 1.6 and 0.8 percentage points, respectively, in the base and extend models. Second, variance decomposition (VDs) analysis shows that up to ten percent of error variation in systemic risk indicator can be attributed to innovations in the policy rate in the extended model. Third, my results supplement the view that policy rate hikes led to housing bubble burst and contributed to the financial crisis of 2007-2009. This is an example for how monetary policy-making gets more complex and must be conducted with utmost caution if there is a bubble in the economy. In the second chapter, I examine the prevalence and asymmetry of the effects on bank distress from positive and negative shocks to the target fed fund rate (FFR) in the period leading to the financial crisis (2001-2008). A panel model with three blocks of control variables is used. The blocks include: positive/negative FFR shocks, macroeconomic drivers, and bank balance sheet indicators. A distress indicator similar to Texas Ratio is used to proxy distress. Shocks to FFR are defined along the lines suggested by Morgan (1993). (Abstract shortened by ProQuest.).
ISBN: 9780438308190Subjects--Topical Terms:
517137
Economics.
Three Essays on the Impact of Monetary Policy Target Interest Rates on Bank Distress and Systemic Risk.
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My dissertation topic is on the impact of changes in the monetary policy interest rate target on bank distress and systemic risk in the U.S. banking system. The financial crisis of 2007-2009 had devastating effects on the banking system worldwide. The feeble performance of financial institutions during the crisis heightened the necessity of understanding systemic risk exhibited the critical role of monitoring the banking system, and strongly necessitated quantification of the risks to which banks are exposed, for incorporation in policy formulation. In the aftermath of the crisis, US bank regulators focused on overhauling the then existing regulatory framework in order to provide comprehensive capital buffers against bank losses. In this context, the Basel Committee proposed in 2011, the Basel III framework in order to strengthen the regulatory capital structure as a buffer against bank losses. The reform under Basel III framework aimed at raising the quality and the quantity of regulatory capital base and enhancing the risk coverage of the capital structure. Separately, US bank regulators adopted the Dodd-Frank Wall Street Reform and Consumer Protection Act (2010) to implement stress tests on systemically important bank holding companies (SIBs). Concerns about system-wide distress have broadened the debate on banking regulation towards a macro prudential approach. In this context, limiting bank risk and systemic risk has become a prolific research field at the crossroads of banking, macroeconomics, econometrics, and network theory over the last decade (Kuritzkes et al., 2005; Goodhart and Sergoviano, 2008; Geluk et al., 2009; Acharya et al., 2010, 2017; Tarashev et al., 2010; Huang et al., 2012; Browless and Engle, 2012, 2017 and Cummins, 2014). The European Central Bank (ECB) (2010) defines systemic risk as a risk of financial instability "so widespread that it impairs the functioning of a financial system to the point where economic growth and welfare suffer materially." While US bank regulators and policy-makers have moved to strengthen the regulatory framework in the post-crisis period in order to prevent another financial crisis, a growing recent line of research has suggested that there is a significant link between monetary policy and bank distress (Bernanke, Gertler and Gilchrist, 1999; Borio and Zhu, 2008; Gertler and Kiyotaki, 2010; Delis and Kouretas, 2010; Gertler and Karadi, 2011; Delis et al., 2017). In my research, I examine the link between the monetary policy and bank distress. In the first chapter, I investigate the impact of the federal funds rate (FFR) changes on the banking system distress between 2001 and 2013 within an unrestricted vector auto-regression model. The Fed used FFR as a primary policy tool before the financial crisis of 2007-2009, but focused on quantitative easing (QE) during the crisis and post-crisis periods when the FFR hit the zero bound. I use the Taylor rule rate (TRR, 1993) as an "implied policy rate", instead of the FFR, to account for the impact of QE on the economy. The base model of distress includes three macroeconomic indicators-real GDP growth, inflation, and TRR-and a systemic risk indicator (Expected capital shortfall (ES)). I consider two model extensions; (i) I include a measure of bank lending standards to account for the changes in the systemic risk due to credit tightening, (ii) I replace inflation with house price growth rate to see if the results remain robust. Three main results can be drawn. First, the impulse response functions (IRFs) show that raising the monetary policy rate contributed to insolvency problems for the U.S. banks, with a one percentage point increase in the rate raising the banking systemic stress by 1.6 and 0.8 percentage points, respectively, in the base and extend models. Second, variance decomposition (VDs) analysis shows that up to ten percent of error variation in systemic risk indicator can be attributed to innovations in the policy rate in the extended model. Third, my results supplement the view that policy rate hikes led to housing bubble burst and contributed to the financial crisis of 2007-2009. This is an example for how monetary policy-making gets more complex and must be conducted with utmost caution if there is a bubble in the economy. In the second chapter, I examine the prevalence and asymmetry of the effects on bank distress from positive and negative shocks to the target fed fund rate (FFR) in the period leading to the financial crisis (2001-2008). A panel model with three blocks of control variables is used. The blocks include: positive/negative FFR shocks, macroeconomic drivers, and bank balance sheet indicators. A distress indicator similar to Texas Ratio is used to proxy distress. Shocks to FFR are defined along the lines suggested by Morgan (1993). (Abstract shortened by ProQuest.).
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