產業與股票報酬; Industries and Stock Returns

NCUIR > School of Management at National Central University > Graduate Institute of Finance > Electronic Thesis & Dissertation > Item 987654321/12036

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/12036

Title:	產業與股票報酬;Industries and Stock Returns
Authors:	何柏欣;Po-Hsin Ho
Contributors:	財務金融研究所
Keywords:	展望理論;資產定價模型;橫斷面報酬;產業;prospect theory;asset pricing model;cross-sectional stock returns;industry
Date:	2004-06-23
Issue Date:	2009-09-22 14:37:59 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	本論文從產業的角度，針對股票橫斷面報酬可預測性進行一系列之研究分析。本研究主要發現：首先，在資本資產定價模型 (CAPM) 的架構下，假若股票報酬只與同產業內的公司有相關，可以推導出股票隱含報酬。我們進而檢定此隱含報酬是否能夠解釋股票的「規模溢酬」 (size premium) 與「價值溢酬」 (value premium)。實證結果顯示此隱含報酬只能夠解釋百分之五的極端觀察值，而且無法解釋規模與帳面市值比的效果。第二，我們根據產業將公司的規模與帳面市值比拆解成「產業內」與「跨產業」兩個因子，並以特徵模型進行分析；實證結果顯示：雖然兩個因子都對股票報酬具有顯著的解釋能力，但在統計檢定上此兩個因子並沒有顯著的差異。第三，我們以多因子的角度出發，利用主成分分析法 (principal component analysis)從產業投資組合中抽出五個產業解釋因子，進而檢定此五個產業因子對於股票報酬是否具有解釋能力，以及是否能夠解釋規模與帳面市值比的效果。我們發現產業因子的確能夠在規模與帳面市值比的效果之外提供解釋股票報酬的能力，但卻也無法吸收規模與帳面市值比的效果。最後，以展望理論 (prospect theory) 為基礎，我們根據各產業的規模與帳面市值比的中位數為參考點，進一步檢視兩者在產業內是否具有不對稱性的效果；實證結果顯示股票報酬對規模與帳面市值比的關係在產業內存有不對稱性的效果。當我們以權益報酬率作為衡量經營績效之指標來檢驗此不對稱性效果是否能被權益報酬率所吸收時，我們發現此效果並不會與過去經營績效相關。本研究的實證結果顯示股票報酬的規模與帳面市值比效果乃是獨立於產業因子之外；與Knez和Ready (1997) 的研究發現相同，亦即「小公司規模效果」其實是由百分之五的極端觀察值所影響，而這百分之五的極端觀察值有很大一部份是屬於極端正報酬的小公司。實證結果顯示同樣的現象也存在於產業內，我們更進一步發現在此現象之外，產業內存在報酬對規模和帳面市值比不對稱性的效果。 We investigate the industry aspect of cross-sectional stock returns from a few different angles. First, we test the implied returns which are related to firms of the same industry in a CAPM world. The empirical results suggest that the implied return cannot subsume the size and book-to-market equity ratio (BM hereafter) effects. Second, we examine the within- and across-industry components based on the characteristic model. The empirical results show that both the within-industry component and the across-industry component affect the stock returns. However, the difference between the within-industry component and the across-industry components are not statistically significant. Third, we extract five industry factors from the industry portfolios and examine the explanatory power of the industry factors. We find that the industry factors can provide additional explanatory power beyond size and BM, but the significance of size and BM cannot be subsumed by the industry factors. Finally, based on the prospect theory, we further investigate the asymmetric relation between return and firms' characteristics (such as size and BM) using industry median as a reference point. The empirical results reveal that, there exists an asymmetric relation between return and size and BM. Additionally, the asymmetric effect cannot be explained by the characteristics of firms' past operating performance.
Appears in Collections:	[Graduate Institute of Finance] Electronic Thesis & Dissertation

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