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Application and Simulation of Optimal Investment Strategy for Subjective Fault in Criminal Psychology Evaluation

Received: 17 October 2016     Accepted: 7 November 2016     Published: 29 December 2016
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Abstract

Criminal psychology evaluation is too comprehensive to be easily made, but here the optimal investment strategy is proposed to solve this kind of problem in criminal psychology from the view of subjective fault. First, the investment strategy of subjective fault is modeled by the risk measurement of boundary value, and the complex strategy selection process subjective fault is analyzed. The psychology activity is modeled as a multistage process of strategy selection, and the revenue function of criminal psychology in multi strategy choice is also discussed. Second, considering the subjective fault of criminal psychology, an optimal strategy solution with the opportunity cost and robust portfolio model is described. Third, the optimal strategy is verified by an example, and the results showed that the criminal psychology evaluation problem can be established by using robust optimization model. Last, some practical suggestions, interesting conclusions, and future work are indicated at the end of the paper.

Published in American Journal of Applied Psychology (Volume 5, Issue 6)
DOI 10.11648/j.ajap.20160506.14
Page(s) 60-69
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Optimal Investment Strategy, Subjective Fault, Criminal Psychology Evaluation, Risk Premium

References
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Cite This Article
  • APA Style

    Xian Wang, Xiaoyan Lu, Zhuye Zhang, Zhengying Cai. (2016). Application and Simulation of Optimal Investment Strategy for Subjective Fault in Criminal Psychology Evaluation. American Journal of Applied Psychology, 5(6), 60-69. https://doi.org/10.11648/j.ajap.20160506.14

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    ACS Style

    Xian Wang; Xiaoyan Lu; Zhuye Zhang; Zhengying Cai. Application and Simulation of Optimal Investment Strategy for Subjective Fault in Criminal Psychology Evaluation. Am. J. Appl. Psychol. 2016, 5(6), 60-69. doi: 10.11648/j.ajap.20160506.14

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    AMA Style

    Xian Wang, Xiaoyan Lu, Zhuye Zhang, Zhengying Cai. Application and Simulation of Optimal Investment Strategy for Subjective Fault in Criminal Psychology Evaluation. Am J Appl Psychol. 2016;5(6):60-69. doi: 10.11648/j.ajap.20160506.14

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  • @article{10.11648/j.ajap.20160506.14,
      author = {Xian Wang and Xiaoyan Lu and Zhuye Zhang and Zhengying Cai},
      title = {Application and Simulation of Optimal Investment Strategy for Subjective Fault in Criminal Psychology Evaluation},
      journal = {American Journal of Applied Psychology},
      volume = {5},
      number = {6},
      pages = {60-69},
      doi = {10.11648/j.ajap.20160506.14},
      url = {https://doi.org/10.11648/j.ajap.20160506.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajap.20160506.14},
      abstract = {Criminal psychology evaluation is too comprehensive to be easily made, but here the optimal investment strategy is proposed to solve this kind of problem in criminal psychology from the view of subjective fault. First, the investment strategy of subjective fault is modeled by the risk measurement of boundary value, and the complex strategy selection process subjective fault is analyzed. The psychology activity is modeled as a multistage process of strategy selection, and the revenue function of criminal psychology in multi strategy choice is also discussed. Second, considering the subjective fault of criminal psychology, an optimal strategy solution with the opportunity cost and robust portfolio model is described. Third, the optimal strategy is verified by an example, and the results showed that the criminal psychology evaluation problem can be established by using robust optimization model. Last, some practical suggestions, interesting conclusions, and future work are indicated at the end of the paper.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Application and Simulation of Optimal Investment Strategy for Subjective Fault in Criminal Psychology Evaluation
    AU  - Xian Wang
    AU  - Xiaoyan Lu
    AU  - Zhuye Zhang
    AU  - Zhengying Cai
    Y1  - 2016/12/29
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ajap.20160506.14
    DO  - 10.11648/j.ajap.20160506.14
    T2  - American Journal of Applied Psychology
    JF  - American Journal of Applied Psychology
    JO  - American Journal of Applied Psychology
    SP  - 60
    EP  - 69
    PB  - Science Publishing Group
    SN  - 2328-5672
    UR  - https://doi.org/10.11648/j.ajap.20160506.14
    AB  - Criminal psychology evaluation is too comprehensive to be easily made, but here the optimal investment strategy is proposed to solve this kind of problem in criminal psychology from the view of subjective fault. First, the investment strategy of subjective fault is modeled by the risk measurement of boundary value, and the complex strategy selection process subjective fault is analyzed. The psychology activity is modeled as a multistage process of strategy selection, and the revenue function of criminal psychology in multi strategy choice is also discussed. Second, considering the subjective fault of criminal psychology, an optimal strategy solution with the opportunity cost and robust portfolio model is described. Third, the optimal strategy is verified by an example, and the results showed that the criminal psychology evaluation problem can be established by using robust optimization model. Last, some practical suggestions, interesting conclusions, and future work are indicated at the end of the paper.
    VL  - 5
    IS  - 6
    ER  - 

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Author Information
  • College of Computer and Information Technology, China Three Gorges University, Yichang, China

  • School of Law and Public Administration, China Three Gorges University, Yichang, China

  • School of Law and Public Administration, China Three Gorges University, Yichang, China

  • College of Computer and Information Technology, China Three Gorges University, Yichang, China

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