請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83885完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 曾郁仁(Larry Tzeng) | |
| dc.contributor.author | An-Mei Tsai | en |
| dc.contributor.author | 蔡安玫 | zh_TW |
| dc.date.accessioned | 2023-03-19T21:22:05Z | - |
| dc.date.copyright | 2022-08-12 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-07-18 | |
| dc.identifier.citation | [1] Al-Khazali, O., Lean, H. H., & Samet, A. (2014). Do Islamic stock indexes outperform conventional stock indexes? A stochastic dominance approach. Pacic-Basin Finance Journal, 28, 29-46. [2] Bawa, V. S., Bodurtha Jr, J. N., Rao, M. R., & Suri, H. L. (1985). On determination of stochastic dominance optimal sets. Journal of Finance, 40(2), 417-431. [3] Belghitar, Y., Clark, E., & Deshmukh, N. (2014). Does it pay to be ethical? Evidence from the FTSE4Good. Journal of Banking & Finance, 47, 54-62. [4] Chou, P. H., Ho, P. H., & Ko, K. C. (2012). Do industries matter in explaining stock returns and asset-pricing anomalies? Journal of Banking & Finance, 36(2), 355-370. [5] Ciner, C. (2019). Do industry returns predict the stock market? A reprise using the random forest. Quarterly Review of Economics and Finance, 72, 152-158. [6] Clark, E., Jokung, O., & Kassimatis, K. (2011). Making inefficient market indices efficient. European Journal of Operational Research, 209(1), 83-93. [7] Clark, E., & Kassimatis, K. (2012). An empirical analysis of marginal conditional stochastic dominance. Journal of Banking & Finance, 36(4), 1144-1151. [8] Clark, E., & Kassimatis, K. (2013). International equity flows, marginal conditional stochastic dominance and diversication. Review of Quantitative Finance and Acccounting, 40(2), 251-271. [9] Deck, C., & Schlesinger, H. (2010). Exploring higher order risk effects. The Review of Economic Studies, 77(4), 1403-1420. [10] Deck, C., & Schlesinger, H. (2014). Consistency of higher order risk preferences. Econometrica, 82(5), 1913-1943. [11] DeMiguel, V., Garlappi, L., & Uppal, R. (2009). Optimal versus naive diversication: How inefficient is the 1/N portfolio strategy?. Review of Financial Studies, 22(5),1915-1953. [12] Denuit, M. M., Huang, R. J., Tzeng, L. Y., & Wang, C. W. (2014). Almost marginal conditional stochastic dominance. Journal of Banking & Finance, 41, 57-66. [13] Greene, W. H. (2002). Econometric analysis. New York: Prentice-Hall. [14] Hong, H., Torous, W., & Valkanov, R. (2007). Do industries lead stock markets? Journal of Financial Economics, 83(2), 367-396. [15] Hong, H., Torous, W., & Valkanov, R. (2014). Note on 'Do industries lead stock markets?' [16] Huang, R. J., Huang, Y. H., & Tzeng, L. Y. (2015). Experimental estimation of the preference parameters in almost stochastic dominance. Working paper. [17] Huang, Y. C., Kan, K., Tzeng, L. Y., & Wang, K. C. (2021). Estimating the critical parameter in almost stochastic dominance from insurance deductibles. Management Science, 67(8), 4742-4755. [18] Jobson, J. D., & Korkie, B. M. (1981). Performance hypothesis testing with the Sharpe and Treynor measures. Journal of Finance, 889-908. [19] Kuosmanen, T. (2004). Efficient diversication according to stochastic dominance criteria. Management Science, 50(10), 1390-1406. [20] Leshno, M., & Levy, H. (2002). Preferred by 'all' and preferred by 'most' decision makers: Almost stochastic dominance. Management Science, 48(8), 1074-1085. [21] Levy, H., Leshno, M., & Leibovitch, B. (2010). Economically relevant preferences for all observed epsilon. Annals of Operations Research, 176(1), 153-178. [22] Markowitz, H. M. (1952). Portfolio Selection. Journal of Finance, 7, 77-91. [23] Memmel, C. (2003). Performance hypothesis testing with the Sharpe ratio. Finance Letters, 1, 21-23. [24] Post, T. (2003). Empirical tests for stochastic dominance efficiency. Journal of Finance, 58(5), 1905-1931. [25] Shalit, H., & Yitzhaki, S. (1994). Marginal conditional stochastic dominance. Management Science, 40(5), 670-684. [26] Shalit, H., & Yitzhaki, S. (2010). How does beta explain stochastic dominance efficiency? Review of Quantitative Finance and Accounting, 35(4), 431-444. [27] Tsetlin, I., Winkler, R. L., Huang, R. J., & Tzeng, L. Y. (2015). Generalized almost stochastic dominance. Operations Research, 63(2), 363-377. [28] Tzeng, L. Y., Huang, R. J., & Shih, P. T. (2013). Revisiting almost second-degree stochastic dominance. Management Science, 59(5), 1250-1254. [29] Wang, Y., Pan, Z., Liu, L., & Wu, C. (2019). Oil price increases and the predictability of equity premium. Journal of Banking & Finance, 102, 43-58. [30] Wang, Y., Pan, Z., Wu, C., & Wu, W. (2020). Industry equi-correlation: A powerful predictor of stock returns. Journal of Empirical Finance, 59, 1-24. [31] Yitzhaki, S., & Olkin, I. (1991). Concentration indices and concentration curves. Lecture Notes-Monograph Series, 380-392. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83885 | - |
| dc.description.abstract | 本篇論文提出了一個新版本的幾乎邊際條件隨機優越。透過限制決策者的邊際效用比率,新的幾乎邊際條件隨機優越規則可以剔除效用函數過於「極端」的投資者,以提出更多的投資策略。本篇論文展示了如何使用線性規劃實現此版本的幾乎邊際條件隨機優越。最後,本文以Fama-French 三因子為例,實際展示如何使用此幾乎邊際條件隨機優越架構有效率的投資組合。 | zh_TW |
| dc.description.abstract | In this paper, I propose a new notion of the almost marginal conditional stochastic dominance rule by confining the ratio of marginal utility to exclude decision makers with extreme preferences. I show that this new rule can be implemented by linear programming. Finally, I demonstrate the application of this new rule by constructing a set of efficient portfolios characterized by high momentum, high book-to-market value and small-size firms. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T21:22:05Z (GMT). No. of bitstreams: 1 U0001-1407202215195200.pdf: 1113969 bytes, checksum: b031e8453c312d675daea194fa6ab01a (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | [Contents] Master's Thesis Acceptance Certificate i Acknowledgement ii Abstract iii 1 Introduction 1 2 Almost Marginal Conditional Stochastic Dominance 4 2.1 Notation . . . 4 2.2 Pairwise Comparison . . . 4 2.3 Simultaneous Changes in Multiple Assets . . . 7 2.4 Linear Programming . . . 8 3 Empirical Applications 9 3.1 Pairwise Comparison . . . 11 3.2 Finding Efficient Portfolios Using Linear Programming . . . 14 4 Conclusions 16 References 18 Appendix 21 A.1 Proof of Proposition 1 . . . 21 A.2 Proof of Proposition 3 . . . 22 [Contents of Figures and Tables] Figures Figure 1: The ACCs . . . 6 Figure 2: The ACCs for the portfolios Ws = 1 and Wb = 1 . . . 11 Figure 3: Efficient portfolios under '1-AMCSD . . . 14 Figure 4: Efficient portfolios under '2-AMCSD . . . 15 Figure 5: The relationships among the almost stochastic dominance rules . . . 17 Tables Table 1: Summary statistics of monthly returns . . . 10 Table 2: Portfolio returns, ACC, and B (r)(in%) . . . 12 Table 3: Pairwise comparisons . . . 13 | |
| dc.language.iso | en | |
| dc.subject | 效率投資組合 | zh_TW |
| dc.subject | 邊際條件隨機優越 | zh_TW |
| dc.subject | 幾乎隨機優越 | zh_TW |
| dc.subject | Marginal conditional stochastic dominance | en |
| dc.subject | efficient portfolios | en |
| dc.subject | almost stochastic dominance | en |
| dc.title | 幾乎邊際條件隨機優越的再探討 | zh_TW |
| dc.title | Revisiting Almost Marginal Conditional Stochastic Dominance | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 黃瑞卿(Jui-Ching Huang),王之彥(Jr-Yan Wang) | |
| dc.subject.keyword | 邊際條件隨機優越,幾乎隨機優越,效率投資組合, | zh_TW |
| dc.subject.keyword | Marginal conditional stochastic dominance,almost stochastic dominance,efficient portfolios, | en |
| dc.relation.page | 22 | |
| dc.identifier.doi | 10.6342/NTU202201464 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2022-07-19 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 財務金融學研究所 | zh_TW |
| 顯示於系所單位: | 財務金融學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-1407202215195200.pdf 未授權公開取用 | 1.09 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
