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The Performance Forecast Index of Innovation Investment Fund Based on Animal Algorithm

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DOI: 10.23977/ferm.2022.050301 | Downloads: 8 | Views: 146


Jianyu Zhou 1, Shujing Feng 2, Benxing Tian 1


1 School of Finance and Economics, Tibet University, Lhasa, Tibet, China
2 School of Cultural Industry Management, Shanghai Institute of Visual Arts, Shanghai, China

Corresponding Author

Jianyu Zhou


At the point when individuals decide to put resources into protections or other gamble resources, there are two issues that they are generally worried about: the normal profit from resources and the dangers. In the beginning phase of the improvement of monetary hypothesis, how to decide the gamble and return of speculation is an issue that financial backers need to earnestly settle. Economists have been studying how to use quantitative methods to continuously improve the investment theory and the practical operation of the theory. These studies have made great progress in the theory and application of portfolio theory. At present, many meaningful attempts have been made in the research and practical application of portfolio theory in China, but none have achieved good results. In order to better solve the problem of performance prediction indicators after investment funds, this paper deliberately introduces the current most popular animal algorithm-ant colony algorithm. The ant colony algorithm can well predict the investment results, with an accuracy rate of more than 95% and a failure rate of less than 3%. It solves the problems that investors are most concerned about. I hope to play a certain role in promoting the development of China's investment industry.


Animal Algorithm, Innovation Investment, Investment Forecast, Performance Forecast


Jianyu Zhou, Shujing Feng and Benxing Tian, The Performance Forecast Index of Innovation Investment Fund Based on Animal Algorithm. Financial Engineering and Risk Management (2022) Vol. 5: 1-11. DOI:


[1] Lijun Bo, & Shihua Wang. (2017). "Optimal Investment and Risk Control for an Insurer with Stochastic Factor", Operations Research Letters, 45(3), pp.259-265.
[2] Wookjae Heo, John E. Grable, & Barbara O’Neill. (2017). “Wealth accumulation Inequality: Does Investment Risk Tolerance and Equity Ownership Drive Wealth Accumulation?” Social Indicators Research, 133(133), 209-225.
[3] Hong Wang, Pan Liang, Huiyu Li, & Ruili Yang. (2016). "Financing Sources, R&D Investment and Enterprise Risk", Procedia Computer Science, 91(8), 122-130.
[4] Shuming Wang, Bo Wang, & Junzo Watada. (2016). "Adaptive Budget-portfolio Investment Optimization Under risk Tolerance Ambiguity", IEEE Transactions on Fuzzy Systems, 25(2), pp.1-1.
[5] Tang, Yong, Wang, Wei-Zhen, Dong, Shu-Na, & Tang, DingYong. (2016). "An Improved Ant Colony Algorithm for Routing in Software Defined Networking", Journal of Computational & Theoretical Nanoscience, 13(1), 438-442.
[6] Hai Jin, & Longbo Ran. (2016). "A Fair-rank ant Colony Algorithm in Distributed Mass Storage System", Canadian Journal of Electrical & Computer Engineering, 38(4),pp. 338-345.
[7] Wiswall, Matthew, & Zafar, Basit. (2017). "Preference for the Workplace, Investment in Human Capital, and Gender", Staff Reports, 133(1), pp.457-507.
[8] Skevas, Theodoros, Swinton, Scott M., Tanner, Sophia, Sanford, Gregg, & Thelen, Kurt D. (2016). "Investment Risk in Bioenergy Crops", Global Change Biology Bioenergy, 8(6),pp. 1162-1177.
[9] Dong, D., Zeng, L. I., Jingying, F. U., Lin, G., & Beijing, T. (2018). "Analysis of Forest Resources Investment Risk in Sub-saharan Africa", Science & Technology Review, 36(3), pp.100-107.
[10] Tobias F. Rötheli. (2016). "International Investment and Exchange Rate risk: an Experimental Analysis / Eine Experimentelle Untersuchung Zur Internationalen Vermögensdiversifikation", Jahrbücher Für Nationalökonomie Und Statistik, 216(3), pp.347-360.
[11] Robert Finger. (2016). "Assessment of Uncertain Returns From Investment in Short Rotation Coppice Using Risk Adjusted Discount Rates", Biomass & Bioenergy, 85(3),pp. 320-326.
[12] Lijun Bo, & Agostino Capponi. (2016). "Optimal Investment in Credit Derivatives Portfolio Under Contagion Risk", Mathematical Finance, 26(4),pp. 785-834.

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