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Model error analysis

Model error analysis provides insight into how model performance changes over time on normalized data. This insight allows us to monitor whether the model is consistent and stable in its predictions. Specifically, we look at two indicators. Mean absolute error… Read More »Model error analysis

Analytical Platform’s 6-Factor (Groups) Investment Model

Factor investing is an investment strategy that focuses on key performance drivers among asset classes. As mentioned previously in our blog, in the classical Fama-French 5-Factor Investing approach, those factors were: value, quality, momentum, size, and minimum volatility. However, in the Analytical Platform, we use a slightly different model for our purposes, let’s call it the 6-Factor (Groups) Model.

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Understanding P-Value in AI Stock Analysis: A Simplified Approach

The world of statistics is filled with many complex concepts, but few are as misunderstood as the P-value. Despite its widespread use in research and quantitative analysis, it often confuses even the most seasoned statisticians. So, let’s break it down and make it easy to understand how the P-value can be used in factor analysis and AI-based stock analysis.

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