Do High P/E Stocks Outperform? Evidence from Sectoral and Time-Horizon Analysis in the Nifty 50
Year: 2025
Type: article
Abstract: Aims: This study aims to re-evaluate the traditional belief that stocks with high Price-to-Earnings (P/E) ratios are likely to underperform due to overvaluation. Specifically, it investigates the relationship between P/E ratios and stock performance over different time horizons within the Nifty 50 index. Background: The Price-to-Earnings (P/E) ratio is one of the most widely used and fundamental valuation metrics in equity markets, serving as a key indicator for investors to assess whether a stock is overvalued or undervalued. High P/E stocks often exhibit higher volatility, making them riskier investments. Methodology: The research employs quantitative methods including correlation analysis, regression analysis, analysis of variance (ANOVA), and standard deviation measures to assess volatility. The study focuses on high P/E stocks within the Nifty 50, a benchmark index representing India’s most prominent and liquid companies. Findings: The results indicate that P/E ratios exhibit weak predictive power for short-term stock performance. However, over longer investment horizons, high P/E stocks—particularly in growth-oriented sectors such as Information Technology and Fast-Moving Consumer Goods (FMCG)—demonstrate superior returns. The analysis also highlights the role of sectoral differences in influencing the performance of high P/E stocks. Conclusion and Practical implications: The findings provide actionable insights for investors, fund managers, and policymakers by suggesting that long-term investments in high P/E stocks from specific sectors can yield favourable outcomes. Sector-specific analysis should be integrated into investment decision-making frameworks to enhance portfolio performance. Originality/value: This study contributes to the literature on stock valuation by offering a nuanced view of high P/E stocks in the Indian equity market. It challenges conventional investment assumptions and underscores the importance of time horizon and sectoral dynamics in stock performance evaluation.
Authors: Ajay Kumar, Narendra Singh
Institutions: Ranchi University, Vinoba Bhave University
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410597789