The charts above show the relative strength of the MSCI Thematic Indices. A rising ratio in these charts signals that the index is outperforming the broader market, while a declining ratio indicates underperformance. These indices, developed by MSCI (Morgan Stanley Capital International), are designed to track companies influenced by significant megatrends, which are long-term structural shifts with the potential to reshape entire industries and transform how we live, work, and interact. Focused on four critical areas: Environment & Resources, Transformative Technologies, Health & Healthcare, and Society & Lifestyle, these indices capture the dynamic forces driving change in global economies. Thematic investing promises to capitalize on these powerful trends, offering a forward-looking approach to investment that aligns with the forces shaping our future.
The chart above offers a different perspective on the same data from the ratios above.
The chart above shows a heat map depicting the correlation coefficients among various MSCI Thematic Investing Indices. Each thematic index is represented on both the x and y axes, with the intersections showing the strength and direction of their correlation. A correlation coefficient of +1 indicates a perfect positive correlation, meaning two indices moved in the same direction during the analyzed period. Conversely, a coefficient of -1 signifies that the indices moved in opposite directions. The colors on the chart range from deep blue, representing a negative correlation, to bright red, indicating a strong positive correlation.
This chart is particularly useful for investors to understand how different megatrends correlate with each other over a specified time frame.
The correlation coefficient is important for diversification, as it allows investors to assess the potential benefits of including different assets in their portfolios. Diversification involves spreading investments across various assets to reduce risk. In his book Principles, Ray Dalio called diversification the “Holy Grail of Investing”. He realized that with fifteen to twenty uncorrelated return streams, he could dramatically reduce the risks without reducing the expected returns.
The minimum spanning tree (MST) simplifies the data from the correlation matrix above by retaining only the strongest correlations between the thematic indices. If two indices are connected, it means that they are positively correlated and that they tend to move in tandem. By analyzing the structure of the MST, one can identify clusters of assets that move together. This visual tool is especially beneficial when considering portfolio diversification. In fact, Marti, Gautier, et al. (2017) found that the optimal Markowitz portfolio is found at the outskirts of the tree and that the tree shrinks during a stock crisis.
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