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Optimal investment strategy post retirement without ruin possibility: A numerical algorithm

Journal of Computational and Applied Mathematics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Discovering investment strategies in portfolio management: a genetic algorithm approach

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., 2004
Data mining on real stock data is performed using genetic algorithm. The basic idea is to use the relation of closing price moving averages of different lengths to guide the investment. By using the overall return rate to measure the performance of strategies over the training set, the problem of discovering investment strategies in portfolio ...
null Rui Jiang, K.Y. Szeto
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Neural Network Investment Strategy Algorithm

Proceedings of the 2022 4th International Conference on E-Business and E-Commerce Engineering, 2022
Wenjing Feng, Chen Gong, Weihui Chen
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Algorithm of diagnosing enterprises object investment when implementing integration strategies

Economics, 2016
The article deals with the problem of diagnostics of the enterprise carried out before its acquisition. With the implementation of the integration, strategy investors need to have accurate information about financial and economic activity of the company is the investment object.
Elena Burdenko   +5 more
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Algorithm based on heuristic subspace searching strategy for solving investment portfolio optimization problems

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008
There exist many difficulties when investment portfolio problems based on Markowitz model are solved by using some traditional methods, such as Newton method, conjugate gradient method, etc. One of the difficulties is that Markowitz model has rigorous constraint conditions.
Dazhi Jiang   +4 more
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Stock intelligent investment strategy based on support vector machine parameter optimization algorithm

Neural Computing and Applications, 2019
The changes in China’s stock market are inseparable from the country’s economic development and macroeconomic regulation and control and have far-reaching significance in promoting China’s national economic growth. Compared with the Western developed capital market, China’s current stock market’s main smart investment strategy still has certain defects.
Xuetao Li, Yi Sun
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Classical and Agent-Based Evolutionary Algorithms for Investment Strategies Generation

2009
In this chapter an evolutionary system for generating investment strategies is presented. The algorithms used in the system (evolutionary algorithm, co-evolutionary algorithm, and agent-based co-evolutionary algorithm) are verified and compared on the basis of the results coming from experiments carried out with the use of real-life stock data.
Rafał Dreżewski   +2 more
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Construction of Investment Strategies for WIG20, DAX and Stoxx600 with Random Forest Algorithm

2020
Machine learning provides powerful tools for data analysis, especially in regression and classification problems what may be used in creation of investment strategies. This paper present an efficient way of utilization of one of the machine learning algorithms on examples of stock indices: Stoxx600, WIG20 and DAX.
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Enhancing literature review with NLP methods Algorithmic investment strategies case

Working Papers
This study utilizes machine learning algorithms to analyze and organize knowledge in the field of algorithmic trading, based on filtering 136 million research papers to 14,342 articles ranging from 1956 to Q1 2020. We compare previously used practices such as keyword-based algorithms and embedding techniques with state-of-the-art dimension reduction ...
Stanisław Łaniewski, Robert Ślepaczuk
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Research on investment portfolio strategy based on intelligent optimization algorithm

2022 11th International Conference on Software and Information Engineering, 2022
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