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基于证据理论的证券组合优化分析 被引量:2

Analysis of optimum securities portfolio based on evidence theory
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摘要 提出了一种基于证据理论的证券优化组合方法,解决了最优投资比例问题和最大组合收益问题;文章根据现有证据,构造出识别框架,并确定出基本可信度分配,然后由集函数过渡到点函数,求出单点似真度,经过归一化处理后,确定了令人满意的投资比例;最后比较了各种组合的收益大小,进而得出最优组合。 A method for optimizing the securities portfolio based on evidence theory is presented, which builds the best investment rate and the maximum portfolio returns. According to evidences which have been possessed, the frame of discernment is eonstrueted and the basic probability assignment obtained. The single point plausibility is obtained based on the point function. Then a satisfying rate is determined after renormalization,and the optimum portfolio obtained after various returns are compared.
出处 《合肥工业大学学报(自然科学版)》 CAS CSCD 北大核心 2005年第10期1296-1298,共3页 Journal of Hefei University of Technology:Natural Science
基金 国家自然科学基金资助项目(70171033) 安徽省自然科学基金资助项目(050460403)
关键词 证据理论 似真度 证券组合优化 evidence theory plausibility optimum securities portfolio
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  • 1肖人彬,王雪.相关证据合成方法的研究[J].模式识别与人工智能,1993,6(3):227-234. 被引量:30
  • 2戈登·亚历山大 威廉·夏普(美).证券投资原理[M].成都:西南财经大学出版杜,1992.207-229.
  • 3陈共 周升艺 吴晓求.证券投资分析[M].北京:中国人民大学出版社,1997.41-47.
  • 4Shafer G. A mathematical theory of evidence[M].Princeton University Press, Princeton, New Jersey,1976.35-57.
  • 5Voorbraak F. On the justification of dempster's rule of combination[ J ]. Artificial Intelligence, 1991,48: 171-197.
  • 6Yager R R. On the dempster-shafer framework and new combination rules[J ]. Information Sciences, 1987, 41:93-137.
  • 7Jang J S R, Sun C T, Mizutani E. Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence[M]. Prentice Hall, Upper Saddle River, NJ, 1997.1-12,139-156.
  • 8Beynon M, Curry B, Morgan P. The dempster-shafer theory of evidence:an alternative approach to multicriteria decision modeling [ J ]. Omega ( The International Journal of Management Science), 2000,28: 37-50.
  • 9Smets P. The combination of evidence in the transferable belief model [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligebce, 1990, 12 (5): 447-458.
  • 10彼得·林奇.战胜华尔街-投资风险与投资回报[M].成都:四川大学出版社,1998.

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  • 1李建军,张冬梅,覃锋,吴根秀.D-S证据理论在证券投资中的应用[J].江西师范大学学报(自然科学版),2008,32(4):382-387. 被引量:2
  • 2梁伟,张来斌,王朝晖.基于D-S证据理论的成品油管道泄漏融合识别方法研究[J].机械强度,2010,32(3):486-490. 被引量:4
  • 3Rosenberg M. Currency Forecasting: A Guide to Fundamental and Technical Models of Exchange Rate Determination [M]. London: Irwin Publishing, 1996:78 96.
  • 4Meese R, Rogoff K. Empirical exchange rate models of the seventies: Do they fit out of sample? [J]. Journal of International Economics, 1983, 14: 3-24.
  • 5Murphy J. Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications [M]. New York: Prentice Hall Press, 1999: 1049-1068.
  • 6Dempster A. Upper and lower probabilities induced by multri-valued mapping [J]. Annals of Math- ematical Statistical IEEE, 1967, 38:325 339.
  • 7Shafer G. A Mathematical Theory of Evidence [M]. Princeton: Princeton University Press, 1976: 10-40.
  • 8Dymova L, Sevastianov P, Bartosiewicz P. A new approach to the rule-base evidential reasoning: Stock trading expert system application [J]. Expert Systems with Applications, 2010, 37: 5564- 5576.
  • 9Sevastianov P, Dymova L. Synthesis of fuzzy logic and Dempster-Shafer theory for the simulation of the decision-making process in stock trading systems [J]. Mathematics and Computers in Simulation, 2009, 80: 506-521.
  • 10Achelis S B. Technical Analysis from A to Z [M]. Chicago: Probus Publishing, 2001: 82-90.

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