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The chart above offers a different perspective on the same data from the ratios above.

This heatmap shows how different megatrends—from AI and Robotics to Clean Energy and the Future of Food—move in relation to each other. Red squares indicate a positive correlation (themes moving together), while blue squares show a negative correlation. Notice how technologically-driven themes are often highly correlated, as innovation in one area can drive growth in others.
For thematic investors, understanding these correlations is key to building a diversified portfolio of future-focused ideas. Combining themes with low or negative correlations can help balance returns and reduce the risk of over-exposure to a single trend. This approach embodies Ray Dalio's "Holy Grail of Investing"—using uncorrelated assets to enhance portfolio resilience.
To create this chart, weekly returns are calculated for each thematic index, and the Pearson correlation is computed for every pair. The heatmap is then organized using hierarchical clustering to group the most similar themes together, making it easier to see the underlying connections between global megatrends.

The Minimum Spanning Tree (MST) simplifies the correlation matrix by showing only the strongest connections between indices. If two indices are linked, they have a strong positive correlation and tend to move in tandem. This helps identify clusters of related assets and is useful for portfolio diversification.
The tree is constructed by converting the correlations into distances and then finding the set of connections that links all indices with the minimum total distance. As noted by Marti, Gautier, et al. (2017), the optimal Markowitz portfolio is often found at the tree's outskirts, and the tree tends to shrink during a financial crisis.
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