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Eric Crittenden & Jason Buck Explain Why Best Investors Follow the Trends | #533
The Meb Faber Show - Better Investing
Insights on Non-Stationarity of Data and Market Changes
The non-stationarity of data implies that past performance is not indicative of future returns due to constant changes in markets, people, and environments. Correlations between data sets, such as stocks and bonds, evolve over time, leading to divergences like gold from real rates. Markets are non-ergotic systems, not conforming to predictable patterns or probabilities, challenging traditional market perspectives based on historical trends.
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