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Behavioral portfolio optimization with social reference point

  • Shanghai University
  • Chinese University of Hong Kong
  • Shanghai University of Finance and Economics

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this study, we address the social interaction process in which PT (Prospect Theory) preferences are influenced by other market participants, e.g., regular CRRA (Constant Relative Risk Averse) investors or other PT investors, and study then the long run wealth convergence of the two trading parties: one PT agent vs. one CRRA agent or both agents of PT types. In the model with one PT agent vs. one CRRA agent, the PT agent knows the CRRA agent’s optimal terminal wealth and takes it as his/her reference point. If the PT agent starts with an initial wealth level higher than that of the CRRA agent, he/she will always do better than the CRRA agent by imitating the CRRA agent’s policy. On the other hand, if the PT agent starts with a wealth level lower than that of the CRRA agent, he/she can still do better than the CRRA agent by adopting a “gambling policy”. When both trading parties are of PT type, we consider two types of reference points: either both PT agents take their average wealth as their reference point or they are mutually reference dependent. Under both situations, we give sufficient conditions on the long run wealth convergence.

源语言英语
主期刊名Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015
编辑Ngoc Thanh Nguyen, Hoai An Le Thi, Tao Pham Dinh
出版商Springer Verlag
269-280
页数12
ISBN(印刷版)9783319181608
DOI
出版状态已出版 - 2015
已对外发布
活动3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015 - Nancy, 法国
期限: 11 5月 201513 5月 2015

出版系列

姓名Advances in Intelligent Systems and Computing
359
ISSN(印刷版)2194-5357

会议

会议3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015
国家/地区法国
Nancy
时期11/05/1513/05/15

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