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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80864
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dc.contributor.advisor唐代彪(De-Piao Tang)
dc.contributor.authorYu-Chen Liangen
dc.contributor.author梁育宸zh_TW
dc.date.accessioned2022-11-24T03:19:36Z-
dc.date.available2021-11-08
dc.date.available2022-11-24T03:19:36Z-
dc.date.copyright2021-11-08
dc.date.issued2021
dc.date.submitted2021-09-28
dc.identifier.citation1. Akhtaruzzaman, M., Boubaker, S. and Sensoy, A. (2020). “Financial contagion during COVID–19 crisis.” Finance Research Letters, 101604. 2. Aburachis, A.T and Richard, J. (1999). “International evidence on the co-movements between bond yields and stock returns: 1984-1994.” Journal of Financial and Strategic Decisions Volume 12 Number 2. 3. Ashraf, BN. (2020). “Stock markets’ reaction to COVID-19: cases or fatalities?” Research in International Business and Finance, 101249. 4. Baumöhl, Eduard., Bouri, Elie., Hoang, Thi-Hong-Van., Shahzad, Syed Jawad Hussain. and Výrost, Tomáš (2020). ‘From physical to financial contagion: the COVID-19 pandemic and increasing systemic risk among banks.” ZBW – Leibniz Information Centre for Economics, Kiel, Hamburg. 5. Bouri, E., Gupta, R., Tiwari, A. K., and Roubaud, D. (2017). “Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions.” Finance Research Letters, 23, 87–95. 6. Breen, W., Glosten, L. R., Jagannathan, R. (1989). “Economic Significance of Predictable Variations in Stock Index Returns.” The Journal of Finance, 44(5), 1177–1189. 7. Campbell, J. Y., and Ammer, J. (1993). “What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns.” The Journal of Finance, 48(1), 3–37 8. Chang, Chia-Lin; Hsieh, Tai-Lin; McAleer, Michael (2016). “How are VIX and Stock Index ETF related?” Tinbergen Institute Discussion Paper, No. 16-010/III, Tinbergen Institute, Amsterdam and Rotterdam. 9. Chang, B. H., Sharif, A., Aman, A., Suki, N. M., Salman, A., Khan, S. A. R. (2020). “The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach.” Resources Policy, 65, 101571. 10. Colon, T. and McGee, R. “Safe Haven or Risky Hazard? Bitcoin during the Covid-19 Bear Market.” Finance Research Letters, 101607. 11. Corbet, S., Larkin, C., and Lucey, B. (2020). “The contagion effects of the COVID-19 pandemic: Evidence from Gold and Cryptocurrencies.” Finance Research Letters,101554. 12. Fama E. F., and G. W. Schwert (1977). “Asset Returns and Inflation.” Journal of Financial Economics, Vol.5,pp. 115-146. 13. Ferson, W. E., Harvey, C. R. (1991). “Sources of Predictability in Portfolio Returns.” Financial Analysts Journal, 47(3), 49–56. 14. González, M. T., and Novales, A. (2009). “Are volatility indices in international stock markets forward looking?” Revista de La Real Academia de Ciencias Exactas, Fisicas y Naturales. Serie A. Matematicas, 103(2), 339–352. 15. Goodell, J. W., and Goutte, S. (2020). “Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis.” Finance Research Letters, 101625. 16. Gupta, R., Pierdzioch, C., Selmi, R., and Wohar, M. E. (2018). “Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model.” The North American Journal of Economics and Finance, 43, 87–96. 17. Ji, Q., Zhang, D. and Zhao, Y. “Searching for safe-haven assets during the COVID-19 pandemic.” International Review of Financial Analysis, 101526. 18. Lyócsa, Š., Baumöhl, E., Výrost, T., Molnár, P. (2020). “Fear of the coronavirus and the stock markets” Finance Research Letters, Volume 36, October 2020, 101735 19. Mensi, W., Hammoudeh, S., Reboredo, J. C., Nguyen, D. K. (2014). “Do global factors impact BRICS stock markets?” Emerging Markets Review, 19, 1–17. 20. Okorie, D. I., and Lin, B. (2020). “Stock Markets and the COVID-19 Fractal Contagion Effects.” Finance Research Letters, 101640. 21. Pierre Giot (2005). “Relationships Between Implied Volatility Indexes and Stock Index Returns.” The Journal of Portfolio Management, Spring 2005, 31. 22. Robert F. Engle and C. W. J. Granger(1987). “Co-Integration and Error Correction: Representation, Estimation, and Testing.” Econometrica, Vol. 55, No. 2 (Mar., 1987), pp. 251-276. 23. Sarwar, G. (2012). “Is VIX an investor fear gauge in BRIC equity markets?” Journal of Multinational Financial Management, 22(3), 55–65. 24. Sim, N., Zhou, H. (2015). “Oil prices, US stock return, and the dependence between their quantiles.” Journal of Banking Finance, 55, 1–8. 25. Tsai, I.-C. (2014). “Spillover of fear: Evidence from the stock markets of five developed countries.” International Review of Financial Analysis, 33, 281–288. 26. Uddin, M.G.S., and Alam, M.M. (2010). “The Impacts of Interest Rate on Stock Market: Empirical Evidence from Dhaka Stock Exchange.” South Asian Journal of Management Sciences, Vol. 4(1), pp. 21-30. 27. Wayne Y. Lee, Christine X. Jiang, Daniel C. Indro (2002). “Stock market volatility, excess returns, and the role of investor sentiment.” Journal of Banking
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80864-
dc.description.abstract本研究透過芝加哥交易所(CBOE)以及台灣經濟新報(TEJ),選取新冠疫情於2020年1月全球爆發,至2021年5月台灣本土案例出現之日資料。本研究蒐集變數各340筆日資料作為研究樣本,包括加權指數、電子類股價指數以及金融保險類股價指數,探討其對於恐慌指數之反應,其中包括台指恐慌指數、CBOE恐慌指數以及富邦期恐慌指數,並利用QQ迴歸模型觀察不同恐慌指數對不同產業別之影響。透過模型可得以下結果: 第一,三個股價指數和台指VIX整體為負向關係。當股價指數在低分位量以及高分位量時,具有負向顯著的關係。然而股價在中位數時,卻有顯著的正向關係,且在台指VIX處於低分位及高分位時更為明顯,亦即恐慌指數的上升有推升股價的效果。 第二,三個股價指數和CBOE VIX整體為正向關係。當股價指數在低分位量以及高分位量時,具有顯著的正向關係。特別是股價在中位數時,擁有顯著的正向關係且較高的估計係數。 第三,加權指數和富邦期VIX的關係整題為負向,加權指數處於中位數時系數為正,但效果並不顯著。統計迴歸結果和台指VIX對加權指數的影響相似,在加權指數處於中位數時,與富邦期VIX有正向關係。 台指VIX對於台股來說具有避險的效果,尤其在股價報酬率暴漲暴跌更為有效。CBOE VIX對於台股來說避險效果較差,甚至沒有辦法避險。儘管富邦期VIX在股價漲跌幅較高時具有避險效果,但相較台指VIX避險效果較差。原因可能是富邦期VIX收費過高導致,VIX指數的漲跌福被較高的經理費、管理費等等費用抑制,導致避險效果較差。zh_TW
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Previous issue date: 2021
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dc.description.tableofcontents摘要 .................................................................................................................................. 6 第一章 緒 論 .............................................................................................................. 8 第一節 研究動機與背景 ...................................................................................... 8 第二節 研究目的 ................................................................................................ 10 第二章 相關理論回顧與文獻探討 .......................................................................... 12 第一節 疫情對金融市場影響 ............................................................................ 12 第二節 VIX對股票市場影響 ............................................................................ 15 第三節 十年期國債殖利率對股票市場影響 .................................................... 17 第四節 多重分量迴歸相關文獻 ........................................................................ 18 第三章 研究方法 ........................................................................................................ 21 第一節 研究架構 ................................................................................................ 21 第二節 單根檢定 ................................................................................................ 22 第三節 共整合關係 ............................................................................................ 24 第四節 多重分量迴歸 ........................................................................................ 26 第四章 資料來源與處理 ............................................................................................ 28 第一節 資料來源 ................................................................................................ 28 第二節 資料處理 ................................................................................................ 28 第三節 單根檢定結果 ........................................................................................ 37 第四節 共整合檢定結果 .................................................................................... 40 第五節 多重分量模型建立 ................................................................................ 41 第五章 實證結果與分析 ............................................................................................ 42 第一節 簡單迴歸及分量迴歸 ............................................................................ 42 第二節 多重分量迴歸結果 ................................................................................ 52 第六章 結論與建議 .................................................................................................... 58 第一節 結論 ........................................................................................................ 58 第二節 後續研究建議 ........................................................................................ 60 2 參考文獻 ........................................................................................................................ 61 附錄A ............................................................................................................................ 64 附錄B ............................................................................................................................ 67
dc.language.isozh-TW
dc.subjectQQ迴歸zh_TW
dc.subject恐慌指數zh_TW
dc.subjectVIXzh_TW
dc.subject新冠疫情zh_TW
dc.subjectVIXen
dc.subjectQQ regressionen
dc.subjectpanic indexen
dc.subjectCovid-19en
dc.title新冠疫情下VIX與股票市場之關係研究zh_TW
dc.titleA Study on the Relations between VIX and Taiwan Stock Market During the Covid-19 Pandemicen
dc.date.schoolyear109-2
dc.description.degree碩士
dc.contributor.oralexamcommittee張倉耀(Hsin-Tsai Liu),劉炳麟(Chih-Yang Tseng),高惠娟
dc.subject.keyword新冠疫情,恐慌指數,VIX,QQ迴歸,zh_TW
dc.subject.keywordCovid-19,panic index,VIX,QQ regression,en
dc.relation.page80
dc.identifier.doi10.6342/NTU202103394
dc.rights.note同意授權(限校園內公開)
dc.date.accepted2021-09-29
dc.contributor.author-college社會科學院zh_TW
dc.contributor.author-dept國家發展研究所zh_TW
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