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 |
Structure Entropy, Factor Analysis Optimization Model, FAHP Model, Investment Return and Risk Model, Investment Strategy
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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
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
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
@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} }
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 -