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研究生:戴庭玉
研究生(外文):Tai, Ting-Yu
論文名稱:美國2007年至2009年引發環球金融風暴的制度因素
論文名稱(外文):Analysis on the Institutional Factors Causing USA 2007-2009 Financial Tsunami
指導教授:承立平承立平引用關係
指導教授(外文):Cheng, Alfred Li-Ping
學位類別:碩士
校院名稱:國立交通大學
系所名稱:財務金融研究所
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:2011
畢業學年度:99
語文別:中文
論文頁數:46
中文關鍵詞:金融海嘯流通速度流動性Tier 1資本結構方程模式AMOS
外文關鍵詞:Financial CrisisVelocityLiquidityTier 1 CapitalStructural Equation ModelingAMOS
相關次數:
  • 被引用被引用:2
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  • 下載下載:127
  • 收藏至我的研究室書目清單書目收藏:0
美國在2007年至2009年造成的金融風暴引發全球交易流動性危機,全球市場陷入蕭條,文獻認為與1980年代開始的金融自由化政策被認為和金融海嘯的發生具有密切相關。自由化政策誘使金融中介者鑽營制度漏洞,本研究觀察到市場投資大眾追隨金融機構引領潮流的推波助瀾之下,金融市場泡沫化逐漸擴大。為探討金融風暴的潛在成因,本研究根據承立平 (2009) 的觀點,將金融體係分成市場 (Market)、制度 (Institution)和科技 (Technology)三類驅動性因素進行探討。
本研究推斷政策和金融中介者行為是引發2007年至2009年金融海嘯的潛在因素,為驗證潛在因素的影響,本研究利用結構方程模型驗證潛在因素和重要的觀測變數之間的因果關係。本研究考慮六個觀測變數,其中二個主要變數為貨幣流通速度及現金與Tier 1資本比率,並依三個年代建立三個結構方程模型。模型一使用一個複合因子作為潛在變數,將政策和金融中介者行為放入同一潛在變數探討2002年至2006年的金融市場變化;模型二加入2007年至2009年金融海嘯波及期間資料,使用潛在變數政策和金融中介者行為討論2002年至2009年的市場架構;模型三架構類似模型二,但研究資料轉為1992年至2001年。
實證結果顯示政策和金融中介者行為確為形成泡沫的重要因素,而貨幣流通速度與現金與Tier 1資本比率亦為重要的觀測指標。本文的貢獻如下:(1) 使用結構方程模式與承立平 (2009) M-I-T模型建立金融海嘯模型架構;(2) 確認金融海嘯的潛在成因為政策制度與金融中介者行為 (3) 提出現金與Tier 1資本比率的重要性。
2007-2009 Financial Crisis triggered worldwide liquidity problems, which caused huge recession in global markets. Inadequate financial deregulation since 1980s was blamed for the origination of this crisis. Financial institution competed in speculation and investors actively followed this trend by investing in residential mortgages and financial innovation products. Financial crisis thus happened. To investigate the potential factors which caused the occurrence of financial crisis, in this thesis, based on the viewpoint of Cheng (2009), a financial system is decomposed into Market, Institution, and Technology (M-I-T).
It is assumed that financial deregulation (i.e., policy) and financial mediators’ behaviors are the two latent factors that caused the 2007-2009 financial crisis. In order to verify the effect of latent factors, structural equation modeling (SEM) was used to construct the cause-and-effect relations among the latent factors and the collected observed variables related to financial crisis. Six observed variables were chosen in this study, of them money velocity and cash to tier 1 capital ratio were the two major ones which we especially concerned with. Particularly, three SEM models were investigated in this study. In the first model, the 2007-2009 data was excluded, and a composite factor was solely used to investigate the variation of 2002-2006 financial markets. In the second model, 2007-2009 data were added and two latent factors, the policy and financial mediators’ behaviors, were used to analyze the data from 2002 to2009. The third model underwent similar procedure as the second model but analyzed the data from 1992 to 2001.
The result indicates that the two latent factors, the policy and financial mediators’ behaviors, may truly affect financial markets and caused the 2007-2009 financial crisis. The contributions of our study are as follows: (1) we have constructed 2007-2009 Financial Crisis model using SEM and Cheng (2009)’s M-I-T paradigm; (2) We have identified that policy and financial mediators’ behavior are indeed the two latent factors which caused financial crisis; (3) We have highlighted the importance of Cash to Tier 1 Capital ratio.

中文摘要 i
英文摘要 ii
誌謝 iii
目錄 iv
表目錄 vi
圖目錄 vii
一、緒論 1
1.1 研究動機與目的 1
二、文獻回顧 3
2.1 貨幣流通速度與貨幣需求 3
2.2 觀察2007至2010年金融風暴之貨幣流通速度的角度 4
2.3 市場角度 (M) 5
2.4 制度角度 (I) 7
2.5 科技角度 (T) 9
三、模型建立 11
3.1 與金融海嘯相關的M-I-T觀測變數 11
3.2 市場變數 11
3.3 制度變數 14
3.4 科技變數 15
3.5 潛在變數 18
3.6 研究方法與工具 19
3.7 模型命題 20
3.7.1 模型一 (2002年至2006年) 20
3.7.2 模型二 (2002年至2009年) 21
3.7.3 模型三 (1992年至2001年) 23
3.7.4 命題方向預測彙總表 25
四、統計模型與實驗結果 27
4.1 模型一 (2002年至2006年) 27
4.2 模型二 (2002年至2009年) 28
4.3 模型三 (1992年至2001年) 30
4.4 結構方程模式結果彙總 32
4.4.1 區分貨幣流通速度的意義 32
4.4.2 模型變數顯著程度表 32
五、命題驗證分析 34
5.1 模型一 (2002年至2006年) 34
5.1.1 潛在變數Policy與Mediators的影響 34
5.2 模型二 (2002年至2009年) 35
5.2.1 潛在變數Policy的命題驗證 35
5.2.2 潛在變數Mediators的命題驗證 36
5.3 模型三 (1992年至2001年) 37
5.3.1 潛在變數Policy的命題驗證 38
5.3.2 潛在變數Mediators的命題驗證 39
六、結論 40
七、參考文獻 43
八、附錄-模型的數學式 45
8.1 模型一的數學式 45
8.2 模型二的數學式 45
8.3 模型三的數學式 46

(一) 中文部分:
[1] 吳明隆 (2007),「結構方程模式Amos的操作與應用」,五南書局。
[2] 承立平 (2009),「技術、產權與廠商垂直整合:M-O-T 架構之建立」,沿海區域產業科技管理研討會。

(二) 英文部分:
[1] Blundell-Wignall, Adrian and Atkinson, Paul (2009), “Origins of the Financial Crisis and Requirements for Reform,” Journal of Asian Economics, Vol.20, Issue 5, pp.536-548.
[2] Brunnermeier, Markus K. (2009), “Deciphering the Liquidity and Credit Crunch 2007-2008,” Journal of Economic Perspectives, Vol.23, No.1, pp.77-100.
[3] Coase, Ronald H. (1960), “The Problem of Social Cost,” Journal of Law and Economics, 3, pp.1-44.
[4] D’Hulster, Katia (2009), “The Leverage Ratio,” The World Bank Group, Public Policy for the Private Sector, pp.1-6.
[5] Dreger, Wolters (2008), “Money Velocity and Asset Prices in the Euro Area,” Berlin Discussion Papers.
[6] Fisher, Irvin (1911), The Purchasing Power of Money, Revised ed. New York, Macmillan
[7] Friedman, Milton (1956), Studies in the Quantity Theory of Money, The University of Chicago Press.
[8] Gustvan, Randazzo (2010), “The Hayek Rule: A New Monetary Policy Framework for the 21st Century,” Reason Foundation, Policy Study, 389.
[9] Hadjimichalakis, Michael G. (1984), The Federal Reserve, Money and Interest Rates: The Volcker Years and Beyond, pp.30-34, Praeger.
[10] Keynes J. M. (1936), The General Theory of Employment, Interest, and Money, Macmillan.
[11] Kohn, Jonathan and Bryant, Sarah K. (2010), “Factors leading to the U.S. housing bubble: a structural equation modeling approach,” Research in Business and Economics Journal, Vol.3, pp.1-20.
[12] Levi, Maurice, Venezia, Itzhak and Zhang, Yimin (1996),” The Velocity Puzzle Revisited: The Effects of the Housing and Stock Market,” Journal of Economics and Business, Vol.48, Issue 1, pp.23-32.
[13] Lopreite, Milena and Scarpino, Antonio Scarpino (2010), “Housing market and Financial crisis “, Wseas Transactions on Business and Economics, Volume 7, issue 4. pp.424-433.
[14] Marsh, Pfleiderer (2011), “Financial Modeling and the Crisis I: ‘Black Swans’,” 2011 Pacific Basin Finance, Economics, Accounting and Management.
[15] Marsh, Pfleiderer (2011), “The 2008-2009 Financial Crisis: Risk Model Transparency and Incentives,” 2011 Pacific Basin Finance, Economics, Accounting and Management.
[16] Meltzer, Allan H. (1998), “Comment on Japan and the Asian Financial Crisis,” Carnegie Mellon University and American Enterprise Institute.
[17] Minsky, Hyman P. (1982), Can “It” Happen Again? , Armonk NY: M.E. Sharpe, INC.
[18] Pigou, Arthur Cecil (1917), “The Value of Money,” Quarterly Journal of Money, 32(1), pp.38-65.
[19] Reinhart, Rogoff (2008), “Is the 2007 U.S. Sub-Prime Financial Crisis so Different? An International Historical Comparison,” NBER Working Paper 13761.
[20] Ritter, Lawrence S., Silber, William L. and Udell, Gregory F. (2009), Principles of Money, Banking & Financial Markets, 12th Edition, pp.422-457, PEARSON, U.S.
[21] Schumacker, Lomax (2010), A Beginner’s Guide to Structural Equation Modeling, pp.373-379, Routledge.
[22] Taylor, John B. (2009), “Getting Off Track: How Government Actions and Interventions Caused, Prolonged, and Worsened the Financial Crisis,” Hoover Institution Press.
[23] Taylor, John B. (2009),” How Government Intervention Created the Financial Crisis,” The Wall Street Journal, 9 February.
[24] Xiaohong, Li (2010), “Explanation for Financial Crisis from Monetary Perspective,” Orient Academic Forum.

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