English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113303/144284 (79%)
Visitors : 50807631      Online Users : 864
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 財務管理學系 > 學位論文 >  Item 140.119/146283
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/146283


    Title: 債市波動性和公司債報酬
    Volatility of bond market and the cross-section of corporate bond returns
    Authors: 蘇旺鴻
    Su, Wang-Hung
    Contributors: 岳夢蘭
    Yueh, Meng-Lan
    蘇旺鴻
    Su, Wang-Hung
    Keywords: 公司債
    波動性
    VIX指數
    MOVE指數
    Corporate bonds
    Volatility
    VIX Index
    MOVE Index
    Date: 2023
    Issue Date: 2023-08-02 12:58:52 (UTC+8)
    Abstract: 本文探討公司債如何被債市波動率風險定價,債市波動率使用MOVE指數為代表,MOVE被稱為債市版本的VIX,用於衡量美國公債殖利率的隱含波動率。VIX指數和MOVE指數在大多時候變化方向相同,但在部分重大事件中有所差異。例如2013年FED宣布縮減購債時,僅MOVE出現顯著上升,貨幣政策轉向使投資人預期未來的殖利率會有較大的波動率。根據本文採用單變量投資組合分析、雙變量投資組合分析、橫截面分析的實證研究發現,高β_MOVE值的公司債報酬率低於低β_MOVE值的公司債報酬率。為了證實MOVE對公司債的影響力並非完全來自VIX,最後的穩健性測試將VIX加入多因子模型,進行先前的三種分析確保VIX作為控制變數後MOVE仍具有對公司債報酬率的影響力。
    This paper examines the pricing of volatility risk in the corporate bond market. The volatility of the bond market is represented by the MOVE index, which is referred to as the VIX index of the bond market. It measures the implied volatility of US Treasury yields. The VIX index and MOVE index generally move in the same direction, but they show some differences during significant events. For example, when the FED announced tapering in 2013, only the MOVE index showed a significant increase. The change in monetary policy led investors to expect greater volatility of yield in the future. Based on the empirical research conducted in this paper using univariate portfolio analysis, bivariate portfolio analysis, and cross-sectional analysis, it was found that corporate bonds with high β_MOVE had lower returns compared to corporate bonds with low β_MOVE. To confirm that the influence of MOVE on corporate bonds is not solely derived from VIX, the robustness test adds VIX to the multi-factor model and conducts the previous three analyses to ensure that MOVE still impacts corporate bond returns when VIX is included as a control variable.
    Reference: Alberg, D., Shalit, H., & Yosef, R. (2008). Estimating stock market volatility using asymmetric GARCH models. Applied Financial Economics, 18(15), 1201-1208.
    Ang, A., Hodrick, R. J., Xing, Y., & Zhang, X. (2006). The cross‐section of volatility and expected returns. The Journal of Finance, 61(1), 259-299.
    Arnold, I. J., & Vrugt, E. B. (2010). Treasury bond volatility and uncertainty about monetary policy. Financial Review, 45(3), 707-728.
    Black, F. (1976). Studies of stock market volatility changes. Proceedings of the 1976 Meetings of the Business and Economic Statistics Section, American Statistical Association, pp. 177-181.
    Campbell, J. Y., Giglio, S., Polk, C., & Turley, R. (2018). An intertemporal CAPM with stochastic volatility. Journal of Financial Economics, 128(2), 207-233.
    Chung, K. H., & Chuwonganant, C. (2014). Uncertainty, market structure, and liquidity. Journal of Financial Economics, 113(3), 476-499.
    Chung, K. H., Wang, J., & Wu, C. (2019). Volatility and the cross-section of corporate bond returns. Journal of Financial Economics, 133(2), 397-417.
    Corrado, C. J., & Miller, Jr, T. W. (2005). The forecast quality of CBOE implied volatility indexes. Journal of Futures Markets: Futures, Options, and Other Derivative Products, 25(4), 339-373.
    Dick-Nielsen, J. (2014). How to clean enhanced TRACE data. Unpublished working paper. Copenhagen Business School.
    Dimic, N., Kiviaho, J., Piljak, V., & Äijö, J. (2016). Impact of financial market uncertainty and macroeconomic factors on stock–bond correlation in emerging markets. Research in International Business and Finance, 36, 41-51.
    Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3-56.
    Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81(3), 607-636.
    Marcucci, J. (2005). Forecasting stock market volatility with regime-switching GARCH models. Studies in Nonlinear Dynamics & Econometrics, 9(4), 1558-3708.
    Merton, R. C. (1973). An intertemporal capital asset pricing model. Econometrica: Journal of the Econometric Society, 867-887.
    Pastor, L., & Stambaugh, R. F. (2003). Liquidity risk and expected stock returns. Journal of Political Economy, 111(3), 642-685.
    Schwert, G. W. (1989). Why does stock market volatility change over time? The Journal of Finance, 44(5), 1115-1153.
    Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425-442.
    Yang, Z., & Zhou, Y. (2017). Quantitative easing and volatility spillovers across countries and asset classes. Management Science, 63(2), 333-354.
    Yang, Z., Zhou, Y., & Cheng, X. (2020). Systemic risk in global volatility spillover networks: Evidence from option‐implied volatility indices. Journal of Futures Markets, 40(3), 392-409.
    Zhou, Y. (2014). Modeling the joint dynamics of risk-neutral stock index and bond yield volatilities. Journal of Banking & Finance, 38, 216-228.
    Description: 碩士
    國立政治大學
    財務管理學系
    110357018
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0110357018
    Data Type: thesis
    Appears in Collections:[財務管理學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    701801.pdf1796KbAdobe PDF2139View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback