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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 財務金融學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67460
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor曾郁仁(Larry Tzeng)
dc.contributor.authorYi-Chuan Linen
dc.contributor.author林奕全zh_TW
dc.date.accessioned2021-06-17T01:33:12Z-
dc.date.available2022-08-03
dc.date.copyright2017-08-03
dc.date.issued2017
dc.date.submitted2017-08-02
dc.identifier.citation1.Clark, E.A., Jokung, N.O., Kassimatis, K.(2011). Making inefficient market indices efficient. Eur. J. Oper. Res. 209, 83–93.
2.Clark, E., & Kassimatis, K. (2014). Exploiting stochastic dominance to generate abnormal stock returns. Journal of Financial Markets, 20, 20-38.
3.Daniel, K., Hirshleifer, D., Subrahmanyam, A.(1998). Investor psychology and security market under and overreactions. J. Financ. 53, 1839–1886
4.Fama, E.F., French, K.R.(1993). Common risk factors in the returns of stocks and bonds. J. Financ. Econ. 33, 3–56.
5.Fong, W.M., Wong, W.K., Lean, H.H.(2005). International momentum strategies: a stochastic dominance approach. J. Financ. Mark. 8, 89–109.
6.Grundy, Bruce D., and J. Spencer Martin Martin. 'Understanding the nature of the risks and the source of the rewards to momentum investing.' Review of Financial studies 14.1 (2001): 29-78.
7.Jegadeesh, N., Titman, S.(1993). Returns to buying winners and selling losers: implications for stock market efficiency. J. Financ. 48, 65–91.
8.Kopa, M., Post, T.(2011). A general test for portfolio efficiency.working paper (http://ssrn.com/abstract=1824174).
9.Kuosmanen, Efficient diversification according to stochastic dominance criteriaManag. Sci., 50 (2004), pp. 1290-1406
10.Leshno M,Levy H (2002) Preferred by “all” and preferred by “most” decision makers: Almost stochastic dominance. Management Sci. 48(8):1074–1085.
11.Levy,H.(2006). Stochastic Dominance: Investment Decision Making under Uncertainty, 2nd ed. Springer, New York
12.Levy,H.(2012) Almost stochastic dominance and efficient investment sets. Amer. J. Oper. Res. 2(3):313–321.
13.Tsetlin I, Winkler RL, Huang RJ, Tzeng LY (2015) Generalized almost stochastic dominance. Oper Res 63(2):363–377
14.Tzeng LY,Huang RJ,Shih PT (2013) Revisiting almost second-degree stochastic dominance. Management Sci. 59(5):1250–1254.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67460-
dc.description.abstract在股票投資中,側重技術面的動能投資策略是一個重要方法,動能策略的優點在計算簡單、僅需個別資產的股價資料,此方法僅需兩兩比較個別資產於投資組合形成期之報酬,並依此建構投資組合即可。本研究沿襲動能策略之精神,以FSD、AFSD、SSD、ASSD、GASSD等五種隨機優越指標為準則,透過相對強勢策略之方式建構零成本、等金額的投資組合,發現以SSD、ASSD為準則所建構的投資組合在持有期間的部分月份中會產生超額報酬。
最後,從資產定價因子模型與投資人過度反應之觀點試圖解釋超額報酬,結果發現資產定價因子模型可解釋超額報酬之變異,但具解釋力的因子卻因指標不同而有差異,以SSD為準則時,系統性風險、動能因子可解釋過半超額報酬的變異,而以ASSD為準則時,動能因子可解釋近半超額報酬的變異。此外,投資人過度反應之觀點無法解釋超額報酬之變異。
zh_TW
dc.description.abstractIn the field of stock investment, momentum strategy is an important approach which belongs to a part of technical analysis. The advantage of momentum strategy lies in its simplicity of computation. What this method needs is only to sort asset return in portfolio formation period, and then construct portfolio according to the result. This study follows the idea of momentum strategy. We use five criteria: FSD,AFSD,SSD,ASSD,and GASSD to construct zero-cost, equal amount portfolio by relative strength strategy. The result shows that the portfolio using SSD and ASSD can generate excess return in parts of months in holding period.
Finally, this study intends to explain excess return in the view of asset pricing factor model and overreaction. The results show that asset pricing factor model can explain half variation of excess return. In SSD, systemic risk factor, momentum factor can explain more than half variation of excess return; in ASSD, almost half variation of excess return can be explained by only momentum factor. Moreover, investor’s overreaction can’t explain the variation of excess return
en
dc.description.provenanceMade available in DSpace on 2021-06-17T01:33:12Z (GMT). No. of bitstreams: 1
ntu-106-R04723035-1.pdf: 1236239 bytes, checksum: e9849be9d843fb03f4b779999399d73d (MD5)
Previous issue date: 2017
en
dc.description.tableofcontents第一章 緒論 1
第二章 文獻回顧 3
第一節 隨機優越 3
第二節 解釋超額報酬 8
第三章 資料選取及研究方法 9
第一節 資料選取與資料來源 9
第二節 研究方法 9
第四章 實證結果 13
第一節 各隨機優越指標是否可獲取超額報酬之實證結果 13
第二節 檢驗超額報酬之實證結果 14
第五章 結論 17
參考文獻 18
dc.language.isozh-TW
dc.subjectS&P500指數投資zh_TW
dc.subject隨機優越zh_TW
dc.subject動能投資zh_TW
dc.subject資產定價因子模型zh_TW
dc.subject過度反應zh_TW
dc.subjectStochastic Dominanceen
dc.subjectMomentum Investmenten
dc.subjectS&P500 Index Investmenten
dc.subjectAsset Pricing Factor Modelen
dc.subjectOverreactionen
dc.title隨機優越框架下之動能投資策略zh_TW
dc.titleBuying Winners and Selling Losers:Under Framework of Stochastic Dominanceen
dc.typeThesis
dc.date.schoolyear105-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃瑞卿(Ruey-Ching Hwang),王仁宏(Jen-Hung Wang)
dc.subject.keyword隨機優越,動能投資,S&P500指數投資,資產定價因子模型,過度反應,zh_TW
dc.subject.keywordStochastic Dominance,Momentum Investment,S&P500 Index Investment,Asset Pricing Factor Model,Overreaction,en
dc.relation.page38
dc.identifier.doi10.6342/NTU201702394
dc.rights.note有償授權
dc.date.accepted2017-08-02
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept財務金融學研究所zh_TW
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