政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/138889
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 113656/144643 (79%)
造访人次 : 51762946      在线人数 : 482
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/138889


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/138889


    题名: 探討牛熊市之市場狀態下波動度風險溢酬與預期報酬
    Variance Risk Premium and Expected Returns in Bull and Bear Markets
    作者: 徐躍華
    Hsu, Yueh-Hua
    贡献者: 林士貴
    Lin, Shih-Kuei
    徐躍華
    Hsu, Yueh-Hua
    关键词: 波動度風險溢酬
    報酬可預測性
    市場狀態依賴性
    高頻資料
    Variance risk premium
    Return predictability
    State dependence
    High-frequency data
    日期: 2022
    上传时间: 2022-02-10 12:54:51 (UTC+8)
    摘要: 在金融市場中最主要和關鍵的問題是如何預測市場的預期報酬,許多研究顯示預期報酬在很大程度上取決於經濟狀態。波動度風險溢籌已被證實對預期收益的可預測性,這是有個問題浮現在腦中,我們如何知道哪種市場狀態主導了波動度風險溢籌對預期報酬的預測能力?為了研究不同市場狀態下市場預期收益的可預測性差異,我們利用S&P500期貨的高頻數據,區分了20年來熊市或牛市市場狀態下波動度風險溢籌的可預測範圍。我們發現在不同的市場狀態下,市場的型態是截然不同的,它極大地影響了波動度風險溢籌對預期報酬的可預測性。在我們的實證結果中,熊市中的可預測回報時間長度要比牛市中的短。
    The principal and critical issue in the financial market is how to predict the market’s expected return and many studies show expected returns depend strongly on the economic times. The variance risk premium has been proved its predictability of expected returns. However, a problem occurs, how do we know which market state dominates the predictability?
    In order to investigate the difference in the predictability of expected market returns under different market states, we use high-frequency data of S&P500 futures to differentiate the forecast horizons of variance risk pre- mium in bullish and bearish for over two decades. We realize that mar- ket situations vary in different market states, which tremendously affects the predictability of variance premium. In our empirical investigation, the pre- dictable return horizons in bear markets are shorter than in bull markets.
    參考文獻: Andersen, T. G., Bollerslev, T., Diebold, F. X., & Ebens, H. (2001). The distribution of realized stock return volatility. Journal of Financial Economics, 61(1), 43-76. Retrieved from https://www.sciencedirect.com/science/article/ pii/S0304405X01000551 doi: https://doi.org/10.1016/S0304-405X(01)00055-1

    Andersen, T. G., Bollerslev, T., Diebold, F. X., & Labys, P. (2001). The distribution of realized exchange rate volatility. Journal of the American Statistical Association, 96(453), 42-55. Retrieved from https://doi.org/10.1198/016214501750332965 doi: 10.1198/016214501750332965

    Bali, T. G., & Zhou, H. (2016). Risk, uncertainty, and expected returns. Journal of Financial and Quantitative Analysis, 51(3), 707–735. doi: 10.1017/ S0022109016000417

    Barndorff-Nielsen, O. E., & Shephard, N. (2002). Econometric analysis of realized volatility and its use in estimating stochastic volatility models. Journal of the Royal Statistical Society. Series B (Statistical Methodology), 64(2), 253-280. Retrieved from http://www.jstor.org/stable/3088799

    Bekaert, G., & Hoerova, M. (2014). The vix, the variance premium and stock market volatility. Journal of Econometrics, 183(2), 181-192. Retrieved from https:// www.sciencedirect.com/science/article/pii/S0304407614001110 (Analysis of Financial Data) doi: https://doi.org/10.1016/j.jeconom.2014.05.008

    Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of political economy, 81(3), 637.

    Bollerslev, T., Marrone, J., Xu, L., & Zhou, H. (2014). Stock return predictability and variance risk premia: Statistical inference and international evidence. Journal of Financial and Quantitative Analysis, 49(3), 633–661. doi: 10.1017/ S0022109014000453

    Bollerslev, T., Tauchen, G., & Zhou, H. (2009). Expected Stock Returns and Variance Risk Premia. The Review of Financial Studies, 22(11), 4463-4492. Retrieved from https://doi.org/10.1093/rfs/hhp008 doi: 10.1093/rfs/hhp008

    Campbell, J. Y., & Hentschel, L. (1992). No news is good news: An asymmetric model of changing volatility in stock returns. Journal of Financial Economics, 31(3), 281-318. Retrieved from https://www.sciencedirect.com/science/article/pii/ 0304405X9290037X doi: https://doi.org/10.1016/0304-405X(92)90037-X

    Cheema, M., Nartea, G., & Man, Y. (2018). Cross-sectional and time-series momentum returns and market states. International Review of Finance, 18, 705-715. doi: 10 .1111/irfi.12148

    Choi, H., Mueller, P., & Vedolin, A. (2017). Bond Variance Risk Premiums*. Review of Finance, 21(3), 987-1022. Retrieved from https://doi.org/10.1093/rof/rfw072 doi: 10.1093/rof/rfw072

    Cochrane, J. H. (2008). The dog that did not bark: A defense of return predictability. The Review of Financial Studies, 21(4), 1533-1575. Retrieved from http://www.jstor .org/stable/40056861

    Dangl, T., & Halling, M. (2008). Predictive regressions with time-varying coefficients. Journal of Financial Economics, 106. doi: 10.2139/ssrn.971712

    French, K. R., Schwert, G., & Stambaugh, R. F. (1987). Expected stock returns and volatility. Journal of Financial Economics, 19(1), 3-29. Retrieved from https://www.sciencedirect.com/science/article/pii/0304405X87900262 doi: https://doi .org/10.1016/0304-405X(87)90026-2

    Hammerschmid, R., & Lohre, H. (2017). Regime shifts and stock return predictability. International Review of Economics Finance, 56. doi: 10.1016/j.iref.2017.10.021

    Han, B., & Zhou, Y. (2011). Variance risk premium and cross-section of stock returns. SSRN Electronic Journal. doi: 10.2139/ssrn.1785540

    Henkel, S., Martin, J., & Nardari, F. (2008). Time-varying short-horizon predictability. SSRN Electronic Journal. doi: 10.2139/ssrn.1177375

    Kilic, M., & Shaliastovich, I. (2019). Good and bad variance premia and expected returns. Management Science, 65(6), 2522-2544. Retrieved from https://doi.org/10.1287/mnsc.2017.2890 doi: 10.1287/mnsc.2017.2890Lewellen, J. (2004). Predicting returns with financial ratios. Journal of Financial Economics, 74(2), 209-235. Retrieved from https://www.sciencedirect.com/science/ article/pii/S0304405X04000686 doi: https://doi.org/10.1016/j.jfineco.2002.11 .002

    Li, X., & Zakamulin, V. (2020). Stock volatility predictability in bull and bear markets. Quantitative Finance, 20, 1-19. doi: 10.1080/14697688.2020.1725101

    Lunde, A., & Timmermann, A. (2004). Duration dependence in stock prices: An analysis of bull and bear markets. Journal of Business & Economic Statistics, 22, 253-273. doi: 10.1197/073500104000000136
    Merton, R. C. (1976). Option pricing when underlying stock returns are discontinuous. Journal of Financial Economics, 3(1), 125-144. Retrieved from https:// www.sciencedirect.com/science/article/pii/0304405X76900222 doi: https:// doi.org/10.1016/0304-405X(76)90022-2

    Newey, W. K., & West, K. D. (1994). Automatic lag selection in covariance matrix estimation. The Review of Economic Studies, 61(4), 631-653. Retrieved from http://www.jstor.org/stable/2297912

    Prokopczuk, M., & Simen, C. (2013). Variance risk premia in commodity markets. SSRN Electronic Journal. doi: 10.2139/ssrn.2195691

    Sossounov, K., & Pagan, A. (2003). A simple framework for analyzing bull and bear markets. Journal of Applied Econometrics, 18, 23-46. doi: 10.1002/jae.664

    Welch, I., & Goyal, A. (2007). A Comprehensive Look at The Empirical Performance of Equity Premium Prediction. The Review of Financial Studies, 21(4), 1455-1508. Retrieved from https://doi.org/10.1093/rfs/hhm014 doi: 10.1093/rfs/hhm014

    Whitelaw, R. F. (1994). Time variations and covariations in the expectation and volatility of stock market returns. The Journal of Finance, 49(2), 515-541. Retrieved from http://www.jstor.org/stable/2329161
    描述: 碩士
    國立政治大學
    金融學系
    109352009
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0109352009
    数据类型: thesis
    DOI: 10.6814/NCCU202200106
    显示于类别:[金融學系] 學位論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    200901.pdf610KbAdobe PDF20检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    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 ©   - 回馈