The Model Design for Education Fund Investment Issues

Yawei Li; Hongqing Sang; Zilong Song

doi:doi:10.11648/j.sjams.20160404.17

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The Model Design for Education Fund Investment Issues

Yawei Li, Hongqing Sang, Zilong Song

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.

DOI	10.11648/j.sjams.20160404.17
Published in	Science Journal of Applied Mathematics and Statistics (Volume 4, Issue 4, August 2016)
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), 2024. Published by Science Publishing Group

Keywords

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

References

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[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.
[11]	Yu G, Wei Q L, Brockett P, et al. Generalized date envelopment analysis model [J]. Annals of Operations Research, 1996.66: 47-49.

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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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TY  - JOUR
T1  - The Model Design for Education Fund Investment Issues
AU  - Yawei Li
AU  - Hongqing Sang
AU  - Zilong Song
Y1  - 2016/07/28
PY  - 2016
N1  - https://doi.org/10.11648/j.sjams.20160404.17
DO  - 10.11648/j.sjams.20160404.17
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 168
EP  - 174
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20160404.17
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
IS  - 4
ER  -

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Author Information

Yawei Li

Graduate School, Beijing Wuzi University, Beijing, China
Hongqing Sang

Graduate School, Beijing Wuzi University, Beijing, China
Zilong Song

Graduate School, Beijing Wuzi University, Beijing, China

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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

Copy | Download

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

Copy | Download

@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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TY  - JOUR
T1  - The Model Design for Education Fund Investment Issues
AU  - Yawei Li
AU  - Hongqing Sang
AU  - Zilong Song
Y1  - 2016/07/28
PY  - 2016
N1  - https://doi.org/10.11648/j.sjams.20160404.17
DO  - 10.11648/j.sjams.20160404.17
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 168
EP  - 174
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20160404.17
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
IS  - 4
ER  -

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