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Decile-Based Return Analysis for Predictive Power

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TitleDecile-Based Return Analysis for Predictive Power
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Once the variables are selected, the next step is to conduct a rigorous decile analysis of returns within a defined stock universe, such as the S&P 500. Decile analysis involves sorting the universe of stocks into ten equal parts based on a specific variable and then evaluating the historical performance of each decile.
This analysis should be performed over multiple time periods (e.g., 1 year, 3 years, 5 years) to assess the predictive power of the variables over different market cycles. This will help determine:

    • If the top decile consistently outperforms the bottom decile.
    • Whether the predictive power of the variable is stable over time or has weakened or improved during specific periods.

The aim is to identify whether a variable like FCFY or trailing ROE has exhibited strong performance differentiation between deciles, with a clear and consistent gradient. If such a relationship exists, it increases the likelihood that the variable holds predictive value in future stock performance.

A graph of a bar and a bar of a graphDescription automatically generated with medium confidence

A graph of a bar and a graph of a barDescription automatically generated with medium confidence

Initial Selection of Variables

Combining Variables for Multi-Factor Analysis

Stock Selection Based on Ranking System

Incorporation of Additional Buy-Sell Rules

Determining Buy-Sell Frequency

Rebalancing and Trim Frequency

Setting Trimming Boundaries

Determining the Number of Stocks in the Strategy

Back-Testing the Strategy

Turnover Management: Reducing Excessive Trading

Frequency Adjustment for Portfolio Trimming and Buy-Sell List

Portfolio Size Adjustment

Stress Testing for Robustness

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