博碩士論文 91428019 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:64 、訪客IP:3.144.123.153
姓名 何柏欣(Po-Hsin Ho)  查詢紙本館藏   畢業系所 財務金融學系
論文名稱 產業與股票報酬
(Industries and Stock Returns)
相關論文
★ 避險基金之績效評估★ 展望理論與共同基金績效
★ 使用信用卡循環信用持卡人特性之研究★ 證券商分公司經營績效-以元大證券為例
★ 經濟變數對十年期公債殖利率影響之研究★ 從股務代理機構之角度探討全面發行無實體有價證券作業
★ 以KMV 及Logistic 模型計算發行公司違約機率-台灣股市實證研究★ 生命週期基金 :行為財務學觀點
★ 財務比率與股價報酬關聯性之研究--以全球汽車產業為例★ 以完全複製不定期調整方式建構指數股票型基金之績效研究
★ 投資組合理論在財富管理上之應用★ 以存活分析法預測通信貸款之還款期限
★ 行為特性與投資績效相關性之研究★ 專業投資人行為特性探討
★ 中小型企業融資缺口與資訊不對稱之探討★ 九型人格特質與理財偏誤行為之相關性研究
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 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。
摘要(英) 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.
關鍵字(中) ★ 展望理論
★ 資產定價模型
★ 橫斷面報酬
★ 產業
關鍵字(英) ★ prospect theory
★ asset pricing model
★ cross-sectional stock returns
★ industry
論文目次 1 Introduction 1
2 Literature Review 4
2.1 The Cross Section of Expected Return 4
2.2 The Empirical Results from the Industry Aspects 6
2.3 The Behavioral Finance View Point of Asset-Pricing Model 8
3 Data and Methodology 11
3.1 Data 11
3.2 Methodology 12
3.2.1 Industry Factor in a CAPM World 15
3.2.2 Within vs. Across Industry Effects in Size and Value Premium 17
3.2.3 Industries as Factors in a Multifactor World 18
3.2.4 Industries as a Behavioral Factor 20
4 Empirical Results 22
4.1 Industry Factor in a CAPM World 22
4.2 Within vs. Across Industry Effects in Size and Value Premium 24
4.3 Industries as Factors in a Multifactor World 28
4.4 Industries as a Behavioral Factor 33
4.4.1 The asymmetric effect in size and BM 33
4.4.2 The linkage to accounting fundamental 39
5 Conclusions 42
Bibliography 44
參考文獻 [1] Asness, C. S., R. B. Porter, and R. L. Stevens (2000). “Predicting stock returns using industry-relative firm characteristics." Working paper, Goldman Sachs Asset Management, Quantitative Research Group.
[2] Banz, R. W. (1981). “The relationships between return and market value of common stocks." Journal of Financial Economics 6, 103-126.
[3] Barberis, N., A. Shleifer, and R. Vishny (1998). “A model of investor sentiment." Journal of Financial Economics 49, 307-343.
[4] Black, F. (1972). “Capital market equilibrium with restricted borrowing." Journal of Business 45, 444-455.
[5] Black, F., M. C. Jensen, and M. Scholes (1972). “The capital asset pricing model: some empirical tests, in M. Jensen, ed.: Studies in the Theory of Capital Markets (Praeger)."
[6] Black, F. (1993). “Beta and return." Journal of Portfolios Management 20, 8-18.
[7] Chen, N.-F., R. Roll, and S. A. Ross (1986). “Economic forces and the stock market." Journal of Business 59, 383-403.
[8] Chordia, T. and L. Shivakumar (2002). “Momentum, business cycle, and time-varying expected returns." Journal of Finance 57, 985-1019.
[9] Chou, P.-H. (2003). “Implied equilibrium in the CAPM." unpublished manuscript, National Central University, Taiwan.
[10] Chou, P.-H. (2003). “On the role of industry in the cross-section and time-series of stock returns." NSC proposal, National Central University, Taiwan.
[11] Daniel, K., and S. Titman (1997). “Evidence on the characteristics of cross sectional variation in stock returns." Journal of Finance 52, 1-33.
[12] Danel, K., D. Hirshleifer, and A. Subrahmanyam (1998). “Investor psychology and security market under- and overreactions." Journal of Finance 53, 1839-1886.
[13] Fama, E. F., and J. D. MacBeth (1973). “Risk, Return and Equilibrium: Empirical tests." Journal of Political Economy 81, 607-636.
[14] Fama, E. F., and K. R. French (1992). “The cross-section of expected stock returns." Journal of Finance 47, 427-465.
[15] Fama, E. F., and K. R. French (1993). “Common risk factors in the returns on stocks and bonds." Journal of Financial Economics 33, 3-56.
[16] Fama, E. F., and K. R. French (1996). “Multifactor explanations of asset pricing anomalies." Journal of Finance 51, 55-84.
[17] Fama, E. F., and K. R. French (1997). “Industry costs of equity." Journal of Financial Economics 43, 153-193.
[18] Fiegenbaum, A. (1990). “Prospect theory and the risk-return association: An empirical examination in 85 industries." Journal of Economic Behavior and Organization 14,
187-203.
[19] Fiegenbaum, A. and H. Thomas (1988). “Attitudes toward risk and the risk-return paradox: Prospect theory explanations." Academy of Management Journal 31, 85-106.
[20] Gibbons, M., S. A. Ross, and J. Shanken (1989). “Testing the efficiency of a given portfolio." Econometrica 57, 1121-1152.
[21] Grundy, B. D. and J. S. Martin (2001). “Understanding the Nature of the Risks and the Source of the Rewards to Momentum Investing." Review of Financial Studies 14,29-78.
[22] Hong, H., and J. C. Stein (1999). “A unified theory of underreaction, momentum trading, and overreaction in asset markets." Journal of Finance 54, 2143-2184.
[23] Hong, H., W. Torous, and R. Valkanov (2002). “Do industries lead the stock market."
Working paper, Princeton University.
[24] Hou, K. (2003). “Industry information diffusion and the lead-lag effect in stock returns." Working Paper, Ohio State University.
[25] Hou, K., and D. T. Robison (2003). “Industry concentration and average stock returns." Working paper, Ohio State University.
[26] Kahle, K. M., and R. A. Walkling (1996). “The impact of industry classifications on financial research." Journal of Financial and Quantitative Analysis 31, 309-335.
[27] Kahneman, D., and A. Tversky (1979). “Prospect theory: an analysis of decision under risk." Econometrica 47, 263-291.
[28] Knez, P. J. and M. J. Ready (1997). “On the robustness of size and book-to-market in cross-sectional regressions." Journal of Finance 52, 1355-1382.
[29] Lakonishok, J., A. Shleifer, and R. W. Vishny (1994). “Contrarian investment, extrapolation, and risk." Journal of Finance 49, 1541-1578.
[30] Lewellen, J. (2002). “Momentum and Autocorrelation in Stock Returns." Review of Financial Studies 15, 533-563.
[31] Lintner, J. (1965). “The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets." Review of Economics and Statistics 47, 13-37.
[32] Merton, R. C. (1973). “An intertemporal capital asset pricing model." Econometrica 41, 867-887.
[33] Moskowitz, T. J. and M. Grinblatt (1999). “Do industries explain momentum." Journal of Finance 54, 1249-1290.
[34] Newey, W. K., and K. D. West (1987). “A simple heteroskedastic and autocorrelation consistent covariance matrix." Econometrica 55, 703-708.
[35] Roll, R. (1977). “A critique of the asset pricing theory's tests: On past and potential testability of the theory." Journal of Financial Economics 4, 129-176.
[36] Ross, S. A. (1976). “The arbitrage theory of capital asset pricing." Journal of Economic Theory 13, 341-360.
[37] Sharpe, W. F. (1964). “Capital asset prices: a theory of market equilibrium under conditions of risk." Journal of Finance 19, 425-442.
指導教授 何耕宇、周賓凰
(Keng-Yu Ho、Pin-Huang Chou)
審核日期 2004-6-30
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明