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論文名稱 Title |
金融市場的相依性:以股票市場為例 Financial Market dependence : Stock Markets |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
33 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
郭修仁 Kuo,Hsiou-jen |
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口試委員 Advisory Committee |
李建強 Lee,Chien-Chiang |
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口試日期 Date of Exam |
2012-06-12 |
繳交日期 Date of Submission |
2012-06-23 |
關鍵字 Keywords |
多角化投資組合、金融危機、歐債危機、股票市場相依性、歐豬五國 The European sovereign debt crisis, Stock market dependence, Financial crises, Regime-switch copula, PIGS |
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統計 Statistics |
本論文已被瀏覽 5858 次,被下載 297 次 The thesis/dissertation has been browsed 5858 times, has been downloaded 297 times. |
中文摘要 |
本文著重於股票市場,而股票指數的目標國家為葡萄牙,義大利,愛爾蘭,希臘和西班牙,而這五個國家被經濟學家稱為歐豬五國。此外,我們添加其他三個國家,分別為美國、英國和德國。本文目的是想要探討在2001到2011的樣本期間內這些國家之間的股市相關結構的變化。 我們所使用的模型稱為copula模型,而本文的copula模型是奠基於Gaussian copula方法論,在邊際分配上本文是依據GARCH模型規範,而在聯合分配上是使用Gaussian copula模型。 將相依性參數建構在Copula函數上可以使得依賴性參數成為一個奠基於現在所擁有的信息的動態過程,而這一個動態過程允許時間的變化和非線性的關係。我們的方法結合Copula函數和regime-switching模型,並進一步去證明在這些國家的股市之間存在著相依性的結構。 最後,我們對國際投資者有兩點報告。首先,如果相依性結構隨著時間而變化,那麼在金融危機時期,國際投資者依據多角化理論所建構的投資組合將會出現多角化的災害,而多角化程度越高將會導致更高的系統性風險。其次,根據實證的結果,不對稱的相依性結構確實存在於金融市場,這個現象印證了多角化理論所建構的投資組合將會導致更高的系統性風險,因此我們得出這樣的結論:在金融危機時期,非多角化理論所建構的投資組合可能優於多角化理論所建構的投資組合。 |
Abstract |
This paper focuses on stock markets, including Portugal、Italy、Ireland、Greece and Spain, and these are named PIGS by economists. Furthermore, we add the other three countries, U.S.A.、U.K. and Germany in this paper for investigating the dependence structure in the stock markets between these countries during the period 2001-2011. We implement a regime-switching copula model based on Gaussian copula, which uses a GARCH specification for the marginal distributions and the Gaussian copula for the joint distribution. Our method combines copulas and regime-switching models to demonstrate dependence sructures in stock markets between these countries. Based on this paper, we have two reports for international investors. First, if the dependency changes over time, the returns of portfolio diversification may be prone to diversification disasters, and the international investors' degrees of diversification can cause higher systemic risk in the period of financial crisis. Second, the phonomenon of the asymmetric dependence exists in financial markets, and we conclude that non-diversification may be better than diversification in the period of financial crisis. |
目次 Table of Contents |
論文審定書 i 摘要 ii Abstract iii Tables v Figures vi 1. Introduction 1 2. Causes of European sovereign debt crisis 7 3. Methodology 10 3.1. Conditional copula 10 3.2. Regime switches in copula 11 3.3. Estimation of parameters 13 3.4. Models for Marginal Distributions and Bivariate Distributions 14 3.5. Models for Bivariate Distributions 15 4. Data and Descriptive Statistics 16 5. Conclusion 23 Reference 25 |
參考文獻 References |
Bertero, E. and Mayer, Colin, "Structure and Performance: Global Interdependence of Stock Markets Around the Crash of October 1987" 307, C.E.P.R. Discussion Papers,1989. Baig, T., Goldfajn, I., 1999. “Financial market contagion in the Asian crisis.” IMF Staff Papers, 46. Bartram, S.M., and G.A. Karolyi 2003. “The impact of the introduction of the Euro on foreign exchange rate risk exposures.” Working Paper , Ohio State University. Bennett, M. N. and Kennedy, J. E. 2004. “Quanto pricing with copulas.” Journal of Derivatives 12, 26-45. Berkowitz, J. 2001. “Testing density forecasts, with applications to risk management.” Journal of Business and Economic Statistics 19, 465-474. Boyer, B.H., Kumagai, T., Yuan, K., 2006. “How do crises spread? Evidence from accessible and inaccessible stock indices.” Journal of Finance 66, 957–1003. Bartram, S.M., Taylor, S.J., Wang, Y.-H., 2007. “The Euro and European financial market dependence. “Journal of Banking & Finance 31, 1461–1481. Dimitris Kenourgios, Aristeidis Samitas, Nikos Paltalidisc,2011.” Financial crises and stock market contagion in a multivariate time-varying asymmetric framework”. Journal of International Financial Markets, Institutions & Money21,92-106 Engle, R.F., Ng, V.K., 1993. “Measuring and testing the impact of news on volatility.” Journal of Finance 48, 1749–1778. Eric Jondeau, Michael Rockinger.2006. ” The Copula-GARCH model of conditional dependencies: An international stock market application.” Journal of International Money and Finance Forbes, K.J., Rigobon, R., 2002. “No contagion, only interdependence: measuring stock market comovements.” Journal of Finance 57, 2223–2261. Glosten, R.T., Jagannathan, R., Runkle, D., 1993. “On the relation between the expected value and the volatility of the nominal excess return on stocks”. Journal of Finance 48, 1779–1801. Hennessy, D. A., and Lapan, H. 2002. “The use of Archimedean copulas to model portfolio allocations.” Mathematical Finance 12, 143-154. Hon, M.T., Strauss, J.K., Yong, S.-K., 2007. “Deconstructing the Nasdaq bubble: a look at contagion across international stock markets.” Journal of International Financial Markets, Institutions and Money 17, 213–230. King, M., Wadhwani, S., 1990. “Transmission of volatility between stock markets.” Review of Financial Studies 3, 5–33. Malevergne, Y. and Sornette, D. 2003. “Testing the Gaussian copula hypothesis for financial assets dependences.” Quantitative Finance 3, 231-250. Okimoto, T., 2008.” New evidence of asymmetric dependence structures in international equity markets.” Journal of Financial and Quantitative Analysis 43, 787–815. Rodriquez, J.C., 2007. “Measuring financial contagion: a copula approach.” Journal of Empirical Finance 14, 401–423. Patton, A. J. 2006a. “Modelling asymmetric exchange rate dependence.” International Economic Review 47, 527-556. Patton, A. J. 2006b. “Estimation of multivariate models for time series of possibly different lengths.” Journal of Applied Econometrics 21, 147-173. Pelletier, D., 2006. “Regime-switching for dynamic correlation.” Journal of Econometrics 131, 445–473. Zdenk Kudrna, 2012. “Cross‐Border Resolution of Failed Banks in the European Union after the Crisis: Business as Usual.” Journal of Common Market Studies, Vol. 50, Issue 2, pp. 283-299, 2012 |
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