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The Model Design for Education Fund Investment Issues

Received: 21 June 2016     Accepted: 30 June 2016     Published: 28 July 2016
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Abstract

In order to help the Goodgrant Foundation Education Fund to invest on higher education of American, this report makes the following scheme. Based on minimal risk principle, we employ statistical analysis and Python programming, to screen the 93 from about 3,000 schools, which are necessary to be invested. Structure Entropy and Factor Analysis are used to select the key indicators closely related investment returns. Then we design four-investment strategies, based upon the ratio of faculty and student. We consider the risk factors and total revenue, and then establish the investment return and risk model. According to investment benefit of first year, we make the investment strategy of the next few years. The next few years are with rule that returns on investments over the last year. This report will effectively help solve the Goodgrant Foundation Education Fund investment issues.

Published in Science Journal of Applied Mathematics and Statistics (Volume 4, Issue 4)
DOI 10.11648/j.sjams.20160404.17
Page(s) 168-174
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

Structure Entropy, Factor Analysis Optimization Model, FAHP Model, Investment Return and Risk Model, Investment Strategy

References
[1] Peta Jovanovie, applieation of sensitivity analysis in investment Projeets evaluation under uncertainty and: risk. International Journal of Management, Vol. 17, No. 4, 1999.
[2] Chen, X, Li, G, An AHP model applied to investment project selection, Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, Vol. 23, No. 2, 2001.
[3] Vaneqas L. V., Labib, A. W. Application of new fuzzy-weighted average (NFWA) method to engineering design evaluation, International Journal of Production Research, Vol. 39, No. 6, 2001.
[4] Pawlak Z. Rough sets, decision algorithms and Bayes theorem. European Journal of Operational Research, Vol. 136, No. 5, 2002.
[5] Andersen P, Petersen N C. A procedure for ranking efficient units in data envelopment analysis [J]. Vol. 39, No. 10, 1993.
[6] Manhua Zhang, Research on Comprehensive Evaluation of Public Welfare Project [D]. Tianjing university, 2012.
[7] Vaneqas, Labib, A. W. Application of new fuzzy-weighted average (NFWA) method to engineering design evaluation, International Journal of Production Research, 2001, 39 (6): 1147-1162.
[8] Chen, X, Li, G, An AHP model applied to investment project selection, Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2001, 23 (2): 82-85.
[9] Pawlak. Z. Rough sets, decision algorithms and Bayes’theorem. European Journal of Operational Research, 2002, 136 (5): 181-189.
[10] Pawlak Z. Rough Set theory and its applications to data analysis [J]. International Journal of Cybernetics and Systems, 1998, (29): 6 61-688.
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Cite This Article
  • APA Style

    Yawei Li, Hongqing Sang, Zilong Song. (2016). The Model Design for Education Fund Investment Issues. Science Journal of Applied Mathematics and Statistics, 4(4), 168-174. https://doi.org/10.11648/j.sjams.20160404.17

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    ACS Style

    Yawei Li; Hongqing Sang; Zilong Song. The Model Design for Education Fund Investment Issues. Sci. J. Appl. Math. Stat. 2016, 4(4), 168-174. doi: 10.11648/j.sjams.20160404.17

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    AMA Style

    Yawei Li, Hongqing Sang, Zilong Song. The Model Design for Education Fund Investment Issues. Sci J Appl Math Stat. 2016;4(4):168-174. doi: 10.11648/j.sjams.20160404.17

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  • @article{10.11648/j.sjams.20160404.17,
      author = {Yawei Li and Hongqing Sang and Zilong Song},
      title = {The Model Design for Education Fund Investment Issues},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {4},
      number = {4},
      pages = {168-174},
      doi = {10.11648/j.sjams.20160404.17},
      url = {https://doi.org/10.11648/j.sjams.20160404.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20160404.17},
      abstract = {In order to help the Goodgrant Foundation Education Fund to invest on higher education of American, this report makes the following scheme. Based on minimal risk principle, we employ statistical analysis and Python programming, to screen the 93 from about 3,000 schools, which are necessary to be invested. Structure Entropy and Factor Analysis are used to select the key indicators closely related investment returns. Then we design four-investment strategies, based upon the ratio of faculty and student. We consider the risk factors and total revenue, and then establish the investment return and risk model. According to investment benefit of first year, we make the investment strategy of the next few years. The next few years are with rule that returns on investments over the last year. This report will effectively help solve the Goodgrant Foundation Education Fund investment issues.},
     year = {2016}
    }
    

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    T1  - The Model Design for Education Fund Investment Issues
    AU  - Yawei Li
    AU  - Hongqing Sang
    AU  - Zilong Song
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    AB  - In order to help the Goodgrant Foundation Education Fund to invest on higher education of American, this report makes the following scheme. Based on minimal risk principle, we employ statistical analysis and Python programming, to screen the 93 from about 3,000 schools, which are necessary to be invested. Structure Entropy and Factor Analysis are used to select the key indicators closely related investment returns. Then we design four-investment strategies, based upon the ratio of faculty and student. We consider the risk factors and total revenue, and then establish the investment return and risk model. According to investment benefit of first year, we make the investment strategy of the next few years. The next few years are with rule that returns on investments over the last year. This report will effectively help solve the Goodgrant Foundation Education Fund investment issues.
    VL  - 4
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    ER  - 

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Author Information
  • Graduate School, Beijing Wuzi University, Beijing, China

  • Graduate School, Beijing Wuzi University, Beijing, China

  • Graduate School, Beijing Wuzi University, Beijing, China

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