Responsive image
博碩士論文 etd-0620112-034351 詳細資訊
Title page for etd-0620112-034351
論文名稱
Title
股價指數報酬之相關性研究-動態copula方法的應用
Studying on stock indexes return’s dependence:Application of dynamic copula method
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
50
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2012-06-12
繳交日期
Date of Submission
2012-06-20
關鍵字
Keywords
非對稱性、動態copula、蔓延、相互依存、相關性
asymmetric, dynamic copula, contagion, interdependence, dependence
統計
Statistics
本論文已被瀏覽 5874 次,被下載 816
The thesis/dissertation has been browsed 5874 times, has been downloaded 816 times.
中文摘要
本文研究2008年次貸金融風暴時,美國對其他G5成員國之股價指數報酬相關結構的影響。研究的樣本期間為2003年至2011年,樣本採用MSCI股價指數之周報酬。模型架構則以是copula-GARCH模型兩階段構成,邊際模型先使用Hansen(1994) skewed Student t AR(1)-GARCH(1,1)模型來配飾股價指數周報酬,後採Patton(2006)之time-varying copula 模型衡量其相關性。經由分析copula之動態相關參數及動態尾部相關參數之時間序列行為,其中發現(1)在金融風暴前期,各國對美國之股價指數報酬相關性顯著上升,有蔓延(contagion)效果。(2)在金融風暴後期,除了日本對美國之外,各國對美國之股價指數產生相互依存(interdependence)的現象,且其尾部同漲同跌的機率也顯著上升。(3)由以上兩點發現,應用相關係數所組成的國際投資組合,處在類似次貸金融風暴之大空頭市場時,會因蔓延效果及相互依存的現象,使國際投資組合面臨之系統風險上升,造成投資組合多角化的效果不如預期。故建立國際投資組合時,更應該考慮金融資產報酬間非對稱(asymmetric)相關結構之因素。
Abstract
In this paper, we study on the stock indexes return’s dependence structure of the U.S. versus other G5 members during the 2008 subprime mortgage financial crisis. The sample series are weekly returns of the MSCI stock price indexes from 2003 to 2011. The model structure is combined with marginal model and copula model. We model the marginal distributions of our returns using the univariate skewed Student t AR(1)-GARCH model of Hansen(1994), and we model the time-varying copula of Patton(2006)to measure the dependence structure between stock indexes returns. By analyzing the time series behavior of the dynamic copula parameters, we find that,(1)the dependence of stock indexes returns increased significantly between U.S. and other G5 members in early subprime mortgage financial crisis, which means the dependence structure has contagion effect.(2)Except the dependence structure between U.S. and Japan, the other dependence structure between U.S. and other G5 members in later subprime mortgage financial crisis have the phenomenon of interdependence, and their average tail dependence increased significantly.(3)By the above, international portfolio constructed by correlation coefficient will failed to diversify the downside risk and the systematic risk will be increased in financial crisis period, which is similar with the 2008 subprime mortgage financial crisis. Therefore, the construction of an international portfolio must consider the asymmetric dependence structure between the stock indexes returns.
目次 Table of Contents
摘 要 ii
Abstract iii
目 錄 iv
圖 次 vi
表 次 vii
第壹章 緒論 1
第一節 研究背景動機 1
第二節 研究問題與目的 2
第貳章 文獻探討 3
第一節 Copula文獻探討 3
第二節 相關結構文獻探討 6
第參章 研究設計與方法 8
第一節 邊際分配模型 8
第二節 Copula 聯合分配模型 9
第三節 模型估計方法 12
第肆章 實證研究分析 13
第一節 資料說明與處理 13
第二節 基本資料分析 14
一、 敘述性統計分析 14
二、 相關性分析 15
三、 單根檢定 15
第三節 模型估計結果分析 16
一、 邊際模型估計結果分析 16
二、 Copula 聯合分配模型估計結果分析 19
第四節 蔓延效果及相互依存之實證與結果分析 25
第伍章 結論與建議 31
第一節 結論 31
第二節 後續研究建議 32
參考文獻 33
附 錄 I
參考文獻 References
楊奕農. (2005). 時間序列分析-經濟與財務上之應用. 台北: 雙葉書廊.
Aas, K., Czadob, C., Frigessic, A., & Bakkend, H. (2009). Pair-copula constructions of multiple dependence. Insurance: Mathematics and Economics, 44(2), pp. 182-198.
Aloui, R., Aissaa, M. S., & Nguyen, D. K. (2011). Global financial crisis, extreme interdependences, and contagion effects: The role of economic structure? Journal of Banking and Finance, 35(1), pp. 130-141.
Ang, A., & Chen, J. (2002). Asymmetric correlations of equity portfolios. Journal of Financial Economics, 63(3), pp. 443-494.
Arakelian, V., & Dellaportas, P. (2012). Contagion determination via copula and volatility threshold models. Quantitative Finance, 12(2), pp. 295-310.
Arestis, P., Caporale, G. M., Cipollini, A., & Spagnolo, N. (2005). Testing for financial contagion between developed and emerging markets during the 1997 East Asian crisis. International Journal of Finance and Economics, 10(4), pp. 359-367.
Baig, T., & Goldfajn, I. (n.d.). Financial Market Contagion in the Asian Crisis. IMF Staff Papers, 46(2), pp. 167-195.
Bollerslev, T. (1990). Modelling the Coherence in Short-Run Nominal Exchange Rates:A Multivariate Generalized Arch Model. The Review of Economics and Statistics, 72(3), pp. 498-505.
Boyer, B. H., Gibson, M. S., & Loretan, M. (1999). Pitfalls in tests for changes in correlations. Working Paper 597R, Federal Reserve Board International Finance Division.
Chancharoenchai, K., & Dibooglu, S. (2006). Volatility Spillovers and Contagion During the Asian Crisis: Evidence from Six Southeast Asian Stock Markets. Emerging Markets Finance and Trade, 42(2), pp. 4-17.
Chiang, T. C., Jeonb, B. N., & Li, H. (2007). Dynamic correlation analysis of financial contagion: Evidence from Asian markets. Journal of International Money and Finance, 26(7), pp. 1206-1228.
Chollete, L., Heinen, A., & Valdesogo, A. (2009). Modeling International Financial Returns with a Multivariate Regime-switching Copula. Journal of Financial Econometrics, 7(4), pp. 437–480.
Corsetti, G., Pericoli, M., & Sbracia, M. (2005). Some contagion, some interdependence: More pitfalls in tests of financial contagion. Journal of International Money and Finance, 24(8), pp. 1177-1199.
Das, S. R., & Uppal, R. (2004). Systemic Risk and International Portfolio Choice. The Journal of Finance, 59(6), pp. 2809-2834.
Engle, R. (2002). Dynamic Conditional Correlation : A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models. Journal of Business and Economic statistics, 20(3), pp. 339-350.
Forbes, K. J., & Rigobon, R. (2002). No Contagion, Only Interdependence: Measuring Stock Market Comovements. The Journal of Finance, 57(5), pp. 2223-2261.
Garcia, R., & Tsafack, G. (2011). Dependence structure and extreme comovements in international equity and bond markets. Journal of Banking and Finance, 35(8), pp. 1954-1970.
Goorbergh, R. W., Genest, C., & Werker, B. J. (2005). Bivariate option pricing using dynamic copula models. Insurance: Mathematics and Economics, 37(1), pp. 101-114.
Granger, C. W., & Newbold, P. (1974). Spurious Regressions in Econometrics. Journal of Econometrics, 2(2), pp. 111-120.
Guegan, D., & Zang, J. (2009). Pricing bivariate option under GARCH-GH model with dynamic copula: application for Chinese market. The European Journal of Finance, 15(7), pp. 777–795.
Hansen, B. E. (1995). Autoregressive Conditional Density Estimation. International Economic Review, 35(3), pp. 705-730.
Hennessy, D. A., & Lapan, H. E. (2002). The Use of Archimedean Copulas to Model Portfolio Allocations. Mathematical Finance, 12(2), pp. 143-154.
Jondeau, E., & Rockinger, M. (2006). The Copula–GARCH Model of Conditional Dependencies: An International Stock Market Application. Journal of International Money and Finance, 25(5), pp. 827–853.
Li, D. X. (2000). On Default Correlation : A Copula Function Approach. The Journal of Fixed Income, 9(4), pp. 43-54.
Longin, F., & Solnik, B. (1995). Is the correlation in international equity returns constant: 1960–1990? Journal of International Money and Finance, 14(1), pp. 3-26.
Longin, F., & Solnik, B. (2001). Extreme Correlation of International Equity Markets. The Journal of Finance, 56(2), pp. 649-676.
Maghyereh, A. (2004). Oil Price Shocks and Emerging Stock Markets: A Generalized VAR Approach. International Journal of Applied Econometrics and Quantitative Studies, 1(2), pp. 27-40.
Naoui, K., Liouane, N., & Brahim, S. (2010). A Dynamic Conditional Correlation Analysis of Financial Contagion: The Case of the Subprime Credit Crisis. International Journal of Economics and Finance, 2(3), pp. 85-96.
Nelsen, R. B. (1999). An Introduction to Copulas. Lectures Notes in Statistics.
Okimoto, T. (2008). New Evidence of Asymmetric Dependence Structures in International Equity Markets. Journal of Financial and Quantitative Analysis, 43(3), pp. 787-815.
Patton, A. J. (2004). On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation. Journal of Financial Econometrics , 2(1), pp. 130-168.
Patton, A. J. (2006). Modelling Asymmetric Exchange Rate Dependence. International Economic Review, 47(2), pp. 527-556.
Reboredo, J. C. (2011). How do crude oil prices co-move?A copula approach. Energy Economics, 33(5), pp. 948–955.
Rodriguez, J. C. (2007). Measuring financial contagion: A Copula approach. Journal of Empirical Finance, 14(3), pp. 401-423.
Sachs, J., Tornell, A., & Velasco, A. (1996). Financial Crises in Emerging Markets: The Lessons from 1995. Brookings Papers on Economic Activity, 1, pp. 146-215.
Sklar, A. (1959). Fonctions de repartition a n dimensions et leurs marges. Publications de l'Institut de Statistique de L'Universite de Paris, 8, pp. 229-231.
Wang, K., Chen, Y.-H., & Huang, S.-W. (2011). The dynamic dependence between the Chinese market and other international stock markets: A time-varying copula approach. International Review of Economics and Finance, 20(4), pp. 654-664.
Zhou, J., & Gao, Y. (2010). Tail Dependence in International Real Estate Securities Markets. The Journal of Real Estate Finance and Economics, Forthcoming,published online.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code