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The Valuation Mirage: Why P/E Doesn’t Predict Returns Like You Think
The Calm Investor· 2026-01-23 07:16
Group 1 - The article explores the relationship between Index P/E ratios and future returns, arguing that the commonly held belief that lower P/E ratios lead to higher future returns is not strongly supported by statistical evidence [1][3][5] - The analysis focuses on the Nifty 500 index, which represents about 95% of the market's value, examining P/E ratios from 2000 to 2025 and their correlation with subsequent annualized returns over various time horizons [5][14] - Regression analysis shows negative slopes for all time horizons, indicating that higher P/E ratios predict lower returns, but the statistical significance of these results diminishes when accounting for overlapping return periods [14][15][66] Group 2 - The article highlights the issue of autocorrelation in return calculations, where overlapping data points lead to misleadingly precise statistical results, particularly in long-term analyses [18][24][36] - Newey-West standard errors are introduced as a correction method for autocorrelated errors, but the results indicate that the statistical significance of the relationships weakens significantly after applying this correction [26][29][60] - A quintile analysis reveals that low P/E periods historically yield better returns than high P/E periods, with a notable spread in returns, particularly in the short term, suggesting that valuation does matter [37][40][62] Group 3 - The findings from the Nifty 500 analysis are compared to the S&P 500, showing that both markets exhibit similar patterns of apparent significance in naive analyses, which disappear after proper statistical corrections [72][77] - The article concludes that while starting P/E ratios have some predictive relationship with returns, the magnitude of this relationship is imprecise and cannot be reliably quantified due to data limitations [65][68][78] - The analysis emphasizes that valuation metrics like P/E have inherent limitations and that the relationship between P/E and returns may be influenced by broader market conditions and historical contexts [73][74][79]