Forecasting Financial Time Series Based on the Ensemble Method-Reference-Cited by-同舟云学术

Forecasting Financial Time Series Based on the Ensemble Method

Published:2022-09-26 Issue: Volume: Page:
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Container-title:2022 15th International Conference Management of large-scale system development (MLSD)
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Author:

Ivanyuk Vera¹,Tsvirkun Anatoly²,Soloviev Vladimir³,Feklin Vadim³,Sunchalina Anna⁴,Kravchenko Oleg⁴

Affiliation:

1. Financial University under the Government of the Russian, Federation Bauman Moscow State Technical University,Department of Data Analysis and Machine Learning, Department of Higher Mathematics,Moscow,Russia

2. Laboratory of Management of the development of large-scale systems, V.A. Trapeznikov Institute of Control Sciences of RAS,Moscow,Russia

3. Financial University under the Government of the Russian Federation,Department of Data Analysis and Machine Learning,Moscow,Russia

4. Bauman Moscow State Technical University,Department of Higher Mathematics,Moscow,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9933724/9933990/09933994.pdf?arnumber=9933994

Reference14 articles.

1. Intelligent system for financial time series prediction and identification of periods of speculative growth on the financial market.

2. Neural networks and their application in forecasting problems

3. The M4 Competition: 100,000 time series and 61 forecasting methods

4. Predicative analytics and speech biometrics

5. Mathematical Aspects of Synergy

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