AI and stock market analysis: How artificial intelligence is revolutionizing forecasting

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As www.telepolis.de reports, stock market analysis is facing a revolution based on AI-based forecasts. New machine learning methods are intended to enable more precise predictions about price developments. A study published in the Journal of Asset Management shows the potential of ML methods to make more accurate predictions. Experts point out that traditional analysis methods have their limits when it comes to identifying the complex relationships within large data sets. The benefits of machine learning lie in its ability to uncover complex relationships and connect rich financial data. Researchers analyzed various ML systems and collected nearly 1.9 billion stock-month anomaly observations in 68...

Wie www.telepolis.de berichtet, steht die Aktienmarktanalyse vor einer Revolution, die auf KI-basierten Prognosen basiert. Neue Methoden des maschinellen Lernens sollen präzisere Vorhersagen über Kursentwicklungen ermöglichen. Eine Studie, veröffentlicht im „Journal of Asset Management“, zeigt das Potenzial von ML-Methoden, genauere Vorhersagen zu treffen. Experten weisen darauf hin, dass traditionelle Analysemethoden an ihre Grenzen stoßen, wenn es darum geht, die komplexen Beziehungen innerhalb großer Datensätze zu erkennen. Die Vorteile des maschinellen Lernens liegen in der Fähigkeit, komplexe Beziehungen aufzudecken und umfangreiche Finanzdaten zu verknüpfen. Die Forscher haben verschiedene ML-Systeme analysiert und über fast vier Jahrzehnte hinweg fast 1,9 Milliarden Aktien-Monat-Anomalie-Beobachtungen in 68 …
As www.telepolis.de reports, stock market analysis is facing a revolution based on AI-based forecasts. New machine learning methods are intended to enable more precise predictions about price developments. A study published in the Journal of Asset Management shows the potential of ML methods to make more accurate predictions. Experts point out that traditional analysis methods have their limits when it comes to identifying the complex relationships within large data sets. The benefits of machine learning lie in its ability to uncover complex relationships and connect rich financial data. Researchers analyzed various ML systems and collected nearly 1.9 billion stock-month anomaly observations in 68...

AI and stock market analysis: How artificial intelligence is revolutionizing forecasting

How www.telepolis.de reports, stock market analysis is poised for a revolution based on AI-based forecasts. New machine learning methods are intended to enable more precise predictions about price developments. A study published in the Journal of Asset Management shows the potential of ML methods to make more accurate predictions.

Experts point out that traditional analysis methods have their limits when it comes to identifying the complex relationships within large data sets. The benefits of machine learning lie in its ability to uncover complex relationships and connect rich financial data.

Researchers analyzed various ML systems and examined nearly 1.9 billion stock-month anomaly observations in 68 countries over nearly four decades. The results were impressive: AI-based models significantly outperformed traditional methods, with an average monthly excess return of up to 2.71 percent.

These insights could drive the development of new stock pricing models and enable financial managers and investors to make more informed investment decisions. Nevertheless, the authors of the study emphasize the importance of careful data preparation and the consideration of ethical and regulatory aspects when dealing with AI technologies.

The impact on the market and the financial industry could be significant, as more accurate forecasts enable improved capital allocation and risk reduction. AI-based stock analysis could significantly change the rules of the game for financial investment and challenge traditional analysis methods.

Read the source article at www.telepolis.de

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