What the PE ratio tells about market direction
Stocks with low PE ratio are perceived as having cheaper current price, hence expected to generate higher return in the subsequent period.

The price earnings (P/E) ratio is one of the most widely used value indicators and quite prominently used by investors while investing. Stocks with low PE ratio are perceived as having cheaper current price, hence expected to generate higher return in the subsequent period. PE ratio is computed by dividing the market price with the company’s earning per share. The study of the historical trend in the PE ratio of the index gives useful information to investors on the attractiveness of the market.
Generally, there are two variations of the PE ratio; one being the Trailing PE ratio and the other being Forward PE ratio. The Trailing PE ratio uses the earnings of the last 12 months, while the Forward PE uses the expected earnings for the next 12 months. The Forward PE requires estimating the forward earnings and hence, is prone to estimation errors. Moreover, the same is not easily available, while the Trailing PE ratio is easily available on a real time basis.
SCENARIOS OF PE EXPANSION OR CONTRACTION When the Index rises at a faster pace than earnings, PE expands. Inversely, when the Index falls at a faster rate than the earnings contraction, it leads to a lower PE.
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The current trailing PE at 18.8 is marginally higher than historical average, though it did come below 17 during the month of February 2016, before moving up. It is pertinent to note that the trailing PE has been in the region of 17 or below for about 30% of the time over the last 17 years.
REGRESSION ANALYSIS OF SENSEX PE & INDEX RETURNS As pointed out earlier, there is a strong relationship between the PE ratio and stock market returns. We ran a regression of Sensex returns based on historical PE Ratio. We compared the Sensex returns predicted by the regression analysis over 1, 2, 3 and 5 Years.
The regression of Sensex PE and the subsequent 2 year return gives the best fit. The R-Square, a measure of how well observed outcomes are replicated by the model is at 0.65, (the range for R-Square – highest 1 and lowest 0), indicating a fair amount of predictive power of the model.
(Ritesh Jain is CIO, Tata Asset Management)
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