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研究生:蔣岳廷
研究生(外文):Yueh-Ting Chiang
論文名稱:股市、黃金與匯率之外溢指標研究
論文名稱(外文):Construction of Spillover Index Among Stock, Gold, and Exchange Rate Implied Volatility Index
指導教授:李修全李修全引用關係
指導教授(外文):Hsiu-Chuan Lee
學位類別:碩士
校院名稱:銘傳大學
系所名稱:財務金融學系碩士班
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:2014
畢業學年度:102
語文別:中文
論文頁數:56
中文關鍵詞:變異數分解隱含波動率外溢效果移動視窗法
外文關鍵詞:Spillover EffectsGeneralized VAR ModelForecast-error Variance DecompositionsImplied Volatility
相關次數:
  • 被引用被引用:2
  • 點閱點閱:484
  • 評分評分:
  • 下載下載:1
  • 收藏至我的研究室書目清單書目收藏:1
本研究探討隱含波動率之總外溢指標是否對於股市有影響能力。採用Diebold and Yilmaz (2012) 所出之Generalized Forecast Error Variance (GVDC) 方法,輔以建構股市 (VIX) 、黃金 (GVZ) 與匯率 (EVZ) 隱含波動率之外溢矩陣 (Volatility Spillover Matrices, VSP),以及總外溢指標 (Total Spillovers Index, TVSP)。因總外溢指標係由隱含波動率所構成,故研究假說:總外溢指標可視為恐慌情緒外溢指標,該指標愈高,表示投資人情緒愈恐慌,股票報酬愈低;基於此假說,本研究透過向量自我迴歸模型 (VAR Model),將總外溢指標與美歐股價指數報酬進行分析。實證發現總外溢指標皆與美國 (S&P500) 、歐洲 (STOXX50) 股價指數報酬間存在著負向顯著關係,由此可斷定研究假說成立。此意涵當今商品間相互影響程度高,單一隱含波動率已無法提供足夠預測能力,因此該指標的建立確有其貢獻。
This paper examines the impact of the spillover index for volatility indices on stock returns. Specifically, this paper constructs the spillover Matrices by using the data of the S&P 500 (VIX), gold volatility index (GVZ), and exchange rate volatility index (EVZ). We estimate the directional spillover index and total spillover index based on Diebold and Yilmaz’s (2012) forecast-error variance decompositions in a generalized vector autoregressive framework.
The empirical results show that while the volatility indices for S&P 500, gold, and exchange rate have no significant effects on subsequent U.S. and EURO stock returns, the spillover index of volatility indices has a significant impact on subsequent the U.S. and EURO stock returns. This finding implies that the spillover index of volatility indices contains more information on market returns than the individual volatility index. Our empirical results provide useful information for policy makers, investors, and risk managers.
目錄
摘要 I
目錄 III
表目錄 IV
圖目錄 V
第壹章 緒論 1
第貳章 文獻回顧 4
第一節 隱含波動率 4
第二節 外溢效果的估計 6
第三節 股市、黃金與匯率間之外溢效果 8
第四節 股市、黃金與匯率間之關聯性 12
第五節 文獻評論 14
第参章 研究方法 15
第一節 資料介紹 15
第二節 資料來源 17
第三節 因果關係檢定 18
第四節 H-P濾波 21
第五節 外溢效果衡量 22
第肆章 實證分析 25
第一節 外溢效果指數 25
第二節 隱含波動率資訊內涵之驗證 34
第三節 總外溢指標資訊內涵之驗證 37
第伍章 結論 41
參考文獻 43


表目錄
表4.1 三隱含波動率與美歐股價指數報酬之敘述統計量 25
表4.2 SP之外溢矩陣 27
表4.3 VSP之外溢矩陣 27
表4.4 VSP影響至其他變數之方向外溢效果敘述統計量 30
表4.5 VSP受其他變數影響之方向外溢效果敘述統計量 30
表4.6隱含波動率樣本外因果關係 32
表4.7 VSP之淨外溢效果敘述統計量 32
表4.8 VIX與S&P500報酬之因果關係檢定 34
表4.9 GVZ與S&P500報酬之因果關係檢定 35
表4.10 EVZ與S&P500報酬之因果關係檢定 35
表4.11 VIX與STOXX50報酬之因果關係檢定 35
表4.12 GVZ與STOXX50報酬之因果關係檢定 36
表4.13 EVZ與STOXX50報酬之因果關係檢定 36
表4.14 TVSP與S&P500報酬之向量自我迴歸 38
表4.15 TVSP與STOXX50報酬之向量自我迴歸 38
表4.16 TVSP與S&P500、STOXX50報酬之向量自我迴歸 39
表4.17 TVSP與S&P500報酬之因果關係檢定 40
表4.18 TVSP與STOXX50報酬之因果關係檢定 40
表4.19 TVSP與S&P500、STOXX50報酬之因果關係檢定 40


圖目錄
圖4.1 VSP影響至其他變數之方向外溢效果 28
圖4.2 VSP受其他變數影響之方向外溢效果 29
圖4.3 VSP之淨外溢效果 31
圖4.4 總外溢指標 (TVSP) 33
圖4.5隱含波動率各期數值變化 33
一、中文部分
楊奕農(2009),時間序列分析:經濟與財務上之應用 第二版,台北:雙葉書廊,頁398-409。
二、英文部分
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11.Diebold, F.X., and K. Yilmaz (2009), “ Measuring financial asset return and volatility spillovers, with application to global equity markets, ” Economic Journal, Vol.119, pp.158-171.

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18.Huang, B.N., and C.W.Yang (2002),“ Volatility of Changes in G-5 Exchange Rates and its Market Transmission Mechanism, ” International Journal of Finance & Economics, Vol.7, pp.37-50.

19.Kanas, A. (2000), “ Volatility spillovers Between Stock Returns and
Exchange Rate Changes: International evidence, “ Journal of Business Finance & Accounting, Vol.27, pp.447-467.
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23.Nieh, C.C., and C.C. Lee (2001), “ Dynamic relationship between stock prices and exchange rates for G-7 countries, ” The Quarterly Review of Economics and Finance, Vol.41, pp.477-490.

24.Pan, M.S., R.C.W. Fok and Y.A. Liu (2007), “ Dynamic linkages between exchange rates and stock prices: Evidence from East Asian markets, ” International Review of Economics & Finance, Vol.16, pp.503-520.

25.Phylaktis, K., F. Ravazzolo (2005), “ Stock prices and exchange rate dynamics, ” Journal of International Money and Finance, Vol.24, pp.1031-1053.
26.Reboredo, J.C. (2013), “ Is gold a safe haven or a hedge for the US dollar? Implications for risk management, “ Journal of Banking & Finance, Vol.37, pp.2665-2676.

27.Rigobon, R. (2003), “Identification through heteroskedasticity,” Review of Economics and Statistics, Vol.85, pp.777-792.

28.Shamsuddin, A.F.M., and J.H. Kim (2003), “ Integration and interdependence of stock and oreign exchange markets: an Australian perspective, ” Journal of International Financial Markets, Institutions & Money, Vol.13, pp.237-254.

29.Sumner, S.W., and R. Johnson (2010), “ Spillover effects among gold, stocks, and bonds, ” Journal of CENTRUM Cathedra, Vol.3, pp.106-120.

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