博碩士論文 104428009 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:9 、訪客IP:3.145.74.54
姓名 陳禹蓉(Yu-Jung Chen)  查詢紙本館藏   畢業系所 財務金融學系
論文名稱 跨國股價指數避險比例之研究
(Hedge Ratio for Multinational Stock Index)
相關論文
★ 國內股票型共同基金異常報酬之特徵研究★ 淨營運資金對公司價值的影響-以台灣上市櫃營建業為例
★ 中小企業信用貸款回收率實證分析★ 台灣境外高收益債券型基金績效分析
★ 財富管理客戶選擇銀行之因素探討★ 境外匯回專法實施前後境外資金解決方案比較-以個案分析為例
★ 利用隨機優勢方法探究商品指數之投資績效★ 承銷關係是否會影響未來承銷業務?
★ 併購動能:以台灣市場為例★ 機構法人對股票報酬與公司價值之影響
★ 投資者情緒與期貨價格關聯性★ 避險基金指數是否能夠提供風險分散效果?- 利用均異擴張檢定
★ Model-Free隱含波動度價差之遠期資訊★ 公開市場購回股票之研究
★ Modeling Long Run Risk with Macroeconomic Fundamentals★ Exploration of Jumps and Cojumps in Financial Markets
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限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。
  3. 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。

摘要(中) 避險是風險管理重要的一環,因此如何決定避險比例是投資人所需面對的重要課題。本文利用Aumann and Serrano (2008)、Foster and Hart (2009)、Bali, Cakici and Chabi-Yo (2011)三個風險指標計算現貨–期貨的最適避險比例,有別於過去文獻使用的風險衡量方法,本文使用的風險指標有較良好的經濟意涵也符合隨機優越法則。為了與傳統風險指標做比較,本文加入被廣泛使用來當作風險指標–變異數作為本文風險衡量方法之一,以此檢測不同風險指標對於避險比例的影響。此外選取多個國家股價指數作為研究標的以檢驗不同國家避險比例的差異。
本文實證結果發現在動態避險時使用變異數所求的避險比例較穩定且各國避險比例差異最小,而使用Bali, Cakici and Chabi-Yo (2011)風險指標避險比例波動較劇烈且各國避險比例差異程度最大。Aumann and Serrano (2008)、Foster and Hart(2009)兩個風險指標所計算的避險比例較相近。
摘要(英)
Hedge is an important part of risk management. It comes up with a critical problem to be addressed in determine hedge ratio. In this paper, we propose three spot-futures hedging methods that determines the optimal hedge ratio by minimizing the riskiness of hedged portfolio returns, where the riskiness is measured by the index of Aumann and Serrano (2008), Foster and Hart (2009) and Bali, Cakici and Chabi-Yo (2011). Unlike the risk measurements widely used in the literature, the riskiness indexes employed in our methods not only have better economic interpretation but also satisfy monotonicity with respect to stochastic dominance. We add variance which is widely used to measure the risk of portfolio returns as one of our methods in order to compare with traditional risk measurements. Moreover, we examine the hedge ratio between different countries.
Our empirical result shows that when we take dynamic hedging strategy, variance is the most stable hedge ratio method and the difference between countries is the smallest. Bali, Cakici and Chabi-Yo (2011) is the most unstable method and the difference between countries is the biggest. Hedge ratio measure by Aumann and Serrano (2008)and Foster and Hart (2009) are closed.
關鍵字(中) ★ 避險比例
★ 避險效率
★ 風險衡量
★ 隨機優越法則
關鍵字(英) ★ Hedge ratio
★ Hedging efficiency
★ Risk measure
★ Stochastic dominance
論文目次
中文摘要.................................i
英文摘要.................................ii
誌謝.....................................iii
目錄.....................................iv
圖目錄...................................vi
表目錄...................................vii
一、緒論.................................1
1-1 研究背景............................1
1-2 研究動機與目的.......................1
1-3 研究架構............................2
二、文獻回顧.............................4
2-1 避險比例文獻回顧.....................4
2-2 風險指標文獻回顧.....................5
三、風險指標.............................7
四、實證研究............................12
4-1 研究樣本...........................12
4-2 樣本敘述統計.......................12
4-3 建構避險投資組合....................13
4-4 風險最小化之方法....................13
4-5 實證結果...........................14
五、結論................................19
參考文獻................................41
參考文獻

Anand, A., Liy T., Kurosaki T., Kim Y. S., 2016. Foster–Hart optimal portfolios. Journal of Banking & Finance 68, 117–130.
Artzner, P., Delbaen, F., Eber, J.-M., Heath, D., 1999. Coherent Measures of Risk. Mathematical Finance 9(3), 203-228.
Aumann, R.J., Serrano, R., 2008. An Economic Index of Riskiness. Journal of Political Economy 116(5), 810–836.
Bali, T., Cakici, N., Chabi-Yo, F., 2011. A Generalized Measure of Riskiness. MANAGEMENT SCIENCE 57(8), 1406-1423.
Bali, T. G., Cakici, N., and Chabi-Yo, F., 2012. Does aggregate riskiness predict future economic downturns? Fisher College of Business 29, 3-9.
Brooks C, Henry OT, Persand G., 2001. The Effect of Asymmetries on Optimal Hedge Ratios. The Journal of Business 75(2), 333-352.
Cecchetti, Robert E. Cumby, Stephen Figlewski., 1988 Estimation of the Optimal Futures Hedge. The Review of Economics and Statistics 70(4), 623-630.
Chen, S.S., Lee, C.F., Shrestha, K., 2003. Futures hedge ratios: a review. Quarterly Review of Economics and Finance 43, 433–465.
Chen, Y.T., Ho, K.Y., Tzeng, L.Y., 2014. Riskiness-minimizing spot-futures hedge ratio. Journal of Banking & Finance 40, 154-164.
Chen, Y.T., Huang R. J., Shih, P. T., Tzengy, L. Y., 2016. Capital Asset Pricing Model Based on a Generalized Economic Index of Riskiness.
De Jong, A., de Roon, F., & Veld, C., 1997. Out-of-sample hedging effectiveness of currency futures for alternative models and hedging strategies. Journal of Futures Markets 17(7), 817-837.
Ederington, L. H., 1979. The Hedging Performance of the New Futures Markets. The Journal of Finance 34(1), 157-170.
Foster, Dean P., and Sergiu Hart., 2009. An Operational Measure of Riskiness. Journal of Political Economy 117(5), 785-814.
Homm, U., Pigorsch, C., 2012. Beyond the Sharpe ratio: An application of the Aumann–Serrano index to performance measurement. Journal of Banking & Finance 36(8), 2274-2284.
Howard, C.T., & D’Antonio, L.J., 1984. A Risk-Return Measure of Hedging Effectiveness. Journal of Financial and Quantitative Analysis 19(1), 101-112.
Hsin, C.W., Kuo, J., & Lee, C.F., 1994. A new measure to compare the hedging effectiveness of foreign currency futures versus options. Journal of Futures Markets 14(6), 685-707.
Johansen, S., Juselius, K., 1990. Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and Statistics 52, 169–210.
Kadan, O., Liu, F., 2014. Performance evaluation with high moments and disaster risk. Journal of Financial Economics 113(1), 131–155.
Leiss, M. and Nax, H. H., 2015. Option-implied objective measures of market risk. Working Paper 29.
Lence, S. H., 1995. On the optimal hedge under unbiased futures prices. Economics Letters. 47(3-4), 385-388.
Lence, S. H., 1996. Relaxing the Assumptions of Minimum-Variance Hedging. Journal of Agricultural and Resource Economics 21(1), 39-55
Lien, D., Tse, Y. K., 1998. Hedging time-varying downside risk. Journal of Futures Markets 18(6), 705-722.
Myers, R. J., Thompson, S. R., 1989. Generalized Optimal Hedge Ratio Estimation. American Journal of Agricultural Economics 71(4), 858-868.
Riedel, Frank, Hellmann. Tobias, 2015. The Foster–Hart measure of riskiness for general gambles. Theoretical Economics 10(1), 1–9.
Schreiber, A., 2012. An Economic Index of Relative Riskiness. Working Paper, Hebrew University of Jerusalem.
Schulze, K., 2014. Existence and computation of the Aumann–Serrano index of riskiness and its extension. Journal of Mathematical Economics 50, 219–224.
Taboga, M., 2014. The Riskiness of Corporate Bonds. The Journal Money, Credit and Banking 46(4), 693–713.
指導教授 黃瑞卿、葉錦徽(Rachel Juiching Huang Jin-Huei Yeh) 審核日期 2017-6-30
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明