The Conceptual Framework of Applying ML and AI Models to Analyze and Forecast Financial Assets
This article was written by:
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Eugene Kalaidin – Professor, Dept. of Mathematics and Computer science, The Financial University under the Government of the Russian Federation, Ph.D., D. Sci. (Habilitation) in Physics and Mathematics.
Highlights:
- Knowledge significantly decreases the speculative risk of investment
- ML and AI technologies allow us to get relevant knowledge about the financial market
- Information asymmetry is a key factor in getting the arbitrage return
- Models of nonlinear dynamic systems allow correctly to evaluate financial assets by determining the backbone behavior of assets
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