The Relative Informativeness of Analysts’ Stock Return Forecasts and Rating Changes for Insurance Companies

Leon Chen () and Steven W Pottier ()
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Leon Chen: Department of Finance, College of Business, Minnesota State University at Mankato, 150 Morris Hall, Mankato, MN 56001, U.S.A.
Steven W Pottier: Department of Insurance, Legal Studies, and Real Estate, Terry College of Business, University of Georgia, 206 Brooks Hall, Athens, GA 30602, U.S.A.

The Geneva Papers on Risk and Insurance - Issues and Practice, 2015, vol. 40, issue 3, 516-537

Abstract: Stock return forecasts and financial strength ratings are supposed to represent concise and complete summary measures of the financial prospects of publicly traded insurance companies. The key questions for investors and other parties who may choose to rely on these metrics are whether they help predict actual stock returns and the relative informativeness of each metric. Ours is the first study to provide empirical evidence on these questions for insurers. Our forecasted stock returns are computed from target stock prices, which represent an explicit estimate of a firm’s future market value. We find that the mean 12-month-ahead (forecasted) stock return in our sample is around 20 per cent, while the actual mean annualised stock return is around 10 per cent, suggesting analysts’ optimism, inaccuracy, or some of both. Current period forecasted stock returns are positively correlated with past forecasted stock returns, and negatively correlated with past actual stock returns. Current period forecasted stock returns exhibit a strong positive association with future period actual stock returns, suggesting that forecasted stock returns are useful predictors of future actual stock returns. Furthermore, an increase in actual or forecasted stock returns decreases the likelihood of a rating downgrade, but has little relation to rating upgrades. These results support the usefulness of stock return forecasts to investors and rating agents.

Date: 2015
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