Insurance Stocks: Shooting Down An Overwrought Valuation Metric 1 comment
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The oft-cited price-to-book versus ROE regression equation for life insurers is simply another way of looking at P/E ratios. Users of this equation are regressing “price divided by book value” against “earnings divided by book value (ROE)”, and essentially concluding that low PE stocks (those that trade below the regression line) are more attractive than high PE stocks (those that trade above the regression line). . . .
From 2002 through 2006, life insurance stock portfolios based on a price-to-book versus ROE regression investment strategy (rebalanced annually) would have generated returns very similar to life insurance stock portfolios based on a forward P/E investment strategy. Approximately 80% to 90% of the names in the most and least attractive portfolios are the same under both strategies, which supports the notion that both strategies are very similar. [emphasis added]
The reason that ROE-vs.-price-to-book and low-P/E strategies spit out virtually identical sets of names, by the way, is that ROE-vs-price-to-book is exactly the same expression, mathematically, as P/E is. Additionally, the very high r-squareds that are cited as justification for the strength of the model are also meaningless. They simply show the industry has a very low P/E dispersion.
Let’s compare three hypothetical companies, and you’ll get the idea:
OK? So the group’s ROE-vs.-price-to-book regression would look like this:
. . . while it’s price-to-earnings regression would look like this:
Suspiciously similar! Note, in particular that the r-squareds are exactly the same.
Anyway, those ROE-vs-price-to-book regression charts, which seem to have become standard issue in sell-side reports on insurers, don’t say as much as their fancy-looking numbers seem to imply. After all, no self-respecting analyst would publish a chart that shows the dispersion of P/E ratios within his industry. He'd think it would be overly simplistic--and he'd be right.
Points to Spehar for pointing all this out. His report ought to be distributed to every insurance analyst (and research director) on Wall Street.
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