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网络近邻择优策略下的股市羊群行为演化模型及仿真

, PP. 40-49

Keywords: 复杂网络,近邻择优,羊群行为,演化模型

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Abstract:

?以行为金融理论和复杂网络理论为基础,针对股市投资者行为的"模仿"性特征,从投资者自我心理偏好和近邻行为效应两个维度,构建网络近邻择优策略下的股市羊群行为演化模型,理论分析股市羊群行为的演化动力学特征,并进行模拟仿真。研究结果表明:投资者投资行为演化路径受股市网络结构和近邻择优效应影响;近邻择优函数的凹凸性直接关系投资者投资行为动力学均衡态的稳定性;股市网络连通度和异质性对投资者投资行为均衡演变趋势具有重要作用;初始投资行为状态特征对投资者投资行为均衡态影响较小。所建立的模型及分析结论在一定程度上阐述了影响股市投资者投资行为变化的特征要素,解释了股市羊群行为演变的内在性规律,为金融管理部门制定宏观政策起到了一定理论支撑。

References

[1]  Trueman B.Analyst forecasts and herding behavior[J]. The Review of Financial Studies,1994, 7: 97-124.
[2]  Zwiebel J. Corporate conservatism and relative compensation[J]. Journal of Political Economy, 1995,103(1):1-25.
[3]  Lakonishok J, Shleifer A, Vishny R V. The impact of institutional trading on stock prices[J]. Journal of Financial Economcs, 1992, 32: 23-43.
[4]  Christie W G, Huang R D. Following the pied piper: do individual returns herd around the marker?[J].Financial Analysis Journal, 1995, 4: 31-37.
[5]  Chang E C, Cheng J W, Khorana A. An examination of herd behavior in equity markets: an international perspective [J]. Journal of Banking and Finance, 2000, 24:1651-1679.
[6]  孙培源,施东晖.基于CAPM的中国股市羊群行为研究——兼与宋军、吴冲锋先生商榷[J]. 经济研究,2002(2): 64-71.
[7]  王冀宁,陈庭强.学习演化、风险预警与中小投资者H-LSV行为模型[J]. 系统工程理论与实践,2011, (4):721-728.
[8]  宋军,吴冲锋.基于分散度的金融市场的羊群行为研究[J]. 经济研究, 2001, (11): 21-27.
[9]  Tan Lin, Chiang T C, Mason J, et al. Herding behavior in Chinese stock markets: an examination of A and B shares[J]. Pacific-Basin Finance Journal, 2008, 16:61-77.
[10]  Chiang T C, Zheng Dazhi. An empirical analysis of herd behavior in global stock markets [J]. Journal of Banking & Finance, 2010, 34: 1911-1921.
[11]  Demirer R, Kutan A M, Chen Chunda. Do investors herd in emerging stock markets? evidence from the Taiwanese market[J]. Journal of Economic Behavior & Organization, 2010, 76: 283-295.
[12]  Avery C, Zemsky P. Multidimensional uncertainty and herd behavior in financial markets [J]. American Economic Review, 1999, 88(4): 724-748.
[13]  施东晖.证券投资基金的交易行为及其市场影响[J]. 世界经济, 2001, (10): 26-31.
[14]  李平,曾勇.羊群效应与内幕信息的揭示分析[J]. 管理工程学报, 2005, (2): 46-49.
[15]  崔巍.投资者的羊群行为分析——风险回避下的BHW模型[J]. 金融研究, 2009, (4): 120-128.
[16]  张小成,孟卫东,熊维勤.投资者行为对IPO抑价影响的比较研究[J]. 中国管理科学, 2009, (5): 175-182.
[17]  王郧,华仁海.投资者行为与期货市场波动:基于OLG模型和高频数据的理论与实证[J].中国管理科学, 2012, (1): 91-101. 浏览
[18]  Wei Yiming, Ying Shangjun, Fan Ying, Wang Binghong. The cellular automaton model of investment behavior in the stock market [J]. Physica A, 2002, 325: 507-516.
[19]  梁震中,韩庆兰.基于小世界网络的协同人工股市模型[J]. 复杂系统与复杂性科学, 2009, (6):70-76.
[20]  Bakker L, Hare W, Khosravi H, et al. A social network model of investment behaviour in the stock market [J]. Physica A, 2010, 389: 1223-1229.
[21]  刘海飞,姚舜,肖斌卿,等.基于计算实验的股票市场羊群行为机理及其影响[J]. 系统工程理论与实践, 2011, (5): 805-812.
[22]  袁建辉,邓蕊,曹广喜.模仿式羊群行为的计算实验[J]. 系统工程理论与实践, 2011, (5): 855-862.
[23]  Johansen A, Sornette D. Log-periodic power law bubbles in Latin-American and Asian markets and correlated anti-bubbles in Western stock markets-An empirical study [J]. International Journal of Theoretical and Applied Finance, 2001, 4(6): 853-920.
[24]  Albert R, Barabási A L. Statistical mechanics of complex networks [J]. Rev Mod Phys, 2002, 74: 47-97.
[25]  Nofsinger J, Sias R. Herding and feedback trading by institutional and individual investors[J].Journal of Finance, 1999, 54: 2263-2295.
[26]  Villatoro F. The delegated portfolio management problem: reputation and herding[J].Journal of Banking and Finance, 2009, 33: 2062-2069.
[27]  Bikhchandani S, Hirshleifer D,Welch I. Learning from the behavior of others: conformity, fads, and informational cascades [J]. Journal of Economics Perspectives,1998, 12: 151-170.

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