博碩士論文 104428024 完整後設資料紀錄

DC 欄位 語言
DC.contributor財務金融學系zh_TW
DC.creator趙國安zh_TW
DC.creatorGuo-An Chaoen_US
dc.date.accessioned2017-7-28T07:39:07Z
dc.date.available2017-7-28T07:39:07Z
dc.date.issued2017
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=104428024
dc.contributor.department財務金融學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本文藉由二階隨機優越 (Second-Degree Stochastic Dominance, SSD) 與1.5階隨機優越 (1.5-Degree Stochastic Dominance, 1.5SD) 法則篩選出SD贏家與SD輸家之股票,並且檢測買進SD贏家與賣出SD輸家的套利投資組合是否有顯著超額報酬。隨機優越不像平均數-變異數 (mean-variance)需要假設特定之報酬分配或者效用函數,僅以過去報酬率排序的方式判斷風險性資產之優越性,並且不同於動能策略,隨機優越有著理論的支持。 實證結果發現,藉由過去6個月形成期為基礎,不論利用二階隨機優越法則或1.5階隨機優越法則選出的SD贏家投資組合皆有顯著的額外報酬,並且買進SD贏家放空SD輸家之套利投資組合無論持有期為3個月、6個月、9個月或是12個月,超額報酬皆為正值。除此之外,此超額報酬使用CAPM單因子、Fama-French三因子以及Carhart四因子迴歸模型皆無法圓滿解釋。zh_TW
dc.description.abstract In this paper, we construct SD-winner and SD-loser portfolios based on 1.5 and second degree stochastic dominance rules and examine the performance of arbitrage portfolio which by longing SD-winner stocks and short selling SD-loser stocks. Compared with the most widely accepted Mean-Variance framework, SD rules require neither a specific return distribution nor a specific utility function. SD rules just need to determine SD-winner or SD-loser on ranking previous 6-month returns. In empirical test, we form portfolios through the previous 6-month ranking period and hold them up to 12 months. The results show that SD-winner portfolios produce statistically, significant abnormal returns and arbitrage portfolio has positive excess return. Moreover, these returns are robust with respect to the single index CAPM, the Fama-French three-factor model, the Carhart four-factor model under various criteria of the SD investment strategy.en_US
DC.subject隨機優越zh_TW
DC.subject動能策略zh_TW
DC.subjectstochastic dominanceen_US
DC.subjectmomentum strategyen_US
DC.title隨機優越動能策略-以台灣股票市場為例zh_TW
dc.language.isozh-TWzh-TW
DC.titleConstruct stochastic dominance momentum strategyen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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