We’re hearing a lot these days about stock market analysts and the accuracy of their recommendations. What factors come into play when it comes to picking stocks?
The issue of stock picking was big during the tech bubble at the beginning of this decade, and it has resurfaced again with the latest economic downturn. During the tech bubble, analysts had strong ‘buy’ recommendations on companies that quickly proved to be unprofitable. Their failure to exercise good judgement during this period led to a raft of new regulation being applied to the industry, both in the U.S. and internationally. Two of my recent papers, co-authored with Ran Barniv (Kent State), Mark Myring (Ball State) and Wayne Thomas (Oklahoma) analyze how analysts go about making recommendations, how these recommendations map onto future stock returns, how regulations affect the way analysts work, and how these elements vary across countries.
The larger question is, are stock recommendations useful to investors? In a perfect world, you would expect an analyst to examine a company using firm-specific, industry-specific and macro-level data, and then come up with an estimated value for that company, based on a model that takes into account future earnings or cash flows. If the company’s estimated value is greater than today’s stock price, the analyst would issue a buy recommendation, and conversely, if it is below that day’s stock price, he would issue a sell recommendation. It seems obvious that there should be a positive relation between stock recommendations and analysts’ intrinsic value estimates based on their forecasts of future earnings, but that is not what we observed.
Stock recommendations and valuation estimates are not related in the way you would expect. Instead, recommendations relate positively to ‘heuristics’, that is, the price-to-earnings to growth (PEG) ratio and long-term growth rates. Our findings suggest that analysts give the highest recommendations to growth stocks, and among growth stocks, they give the highest recommendations to firms for which the value of growth estimated by the PEG model exceeds the current stock price. So something else is going on.
What are analysts basing their recommendations on, if not a company’s earnings?
Clearly, if analysts didn’t provide any useful information whatsoever, they wouldn’t be in business. But they also have other incentives, such as the need to gain investment banking business, or to curry favour with management. Pragmatic considerations come into play. During a conference-call session, if you are providing forecast recommendations that management doesn’t like, you are not likely to be able to ask a question of the company. You will gain greater access if your stated views are positive than if they are negative. Such pragmatic considerations play more of a role in stock picking than you might expect.
Your research actually uncovered a negative relation between analysts’ recommendations and stock returns. Please discuss this remarkable finding.
Firstly, it is rather surprising that analysts give more favourable recommendations to stocks with lower valuation estimates (based on residual income models) relative to current price. The valuation estimates, developed using analysts’ earnings forecasts, relate positively to future excess stock returns. In other words, earnings forecasts are useful inputs into valuation models, yet they tend to relate negatively or insignificantly to stock recommendations.
Why do analysts appear to avoid using valuable earnings forecasts in a sophisticated manner in setting their recommendations? This surprising result motivated us to examine the issue further, both in a single-country setting (the U.S.) and a multi-country setting. In our first study, we examined the effects of recent regulations in the U.S. market and found that analysts’ recommendations have in fact become more closely related to their valuation estimates since the regulations came into force. However, stock recommendations continue to relate negatively with future returns, even in the post-regulation period. We concluded that the regulations have affected analysts’ output – forecasted earnings and stock recommendations – but that investors should be aware that factors other than identifying mispriced stocks continue to influence analysts’ recommendations.
Our second paper was the first large study to examine the relationship between recommendations, earnings forecasts and future excess returns in an international context. In it, we showed that in international markets in which analysts’ ‘other incentives’ are less pronounced than in the U.S., their stock recommendations are more closely aligned with valuation estimates, less closely aligned with ‘heuristics’, and positively associated with future returns.
Overall, our findings are consistent with the idea that analysts are affected by incentives other than maximizing returns to investors. Furthermore, regulations can have an effect, but we shouldn’t expect them to completely solve the problem.
Is effective regulation of the stock market possible?
Clearly, many factors explain why one firm acquires another: there must be synergies, growth opportunities, increased profitability and so on. But based on our research, we can say that national pride is another potent reason for one firm to acquire another. In my study, coauthored with Wayne Thomas and Dushyant Vyas [a Rotman PhD student], using a sample of 3,806 cross-border acquisitions, we documented that firms from developing countries pay more to acquire assets in developed countries than do firms from developed countries. Interestingly, within the sample of developing-country bidders, we found that national pride had both statistically and economically-important effects on the purchase premium. In other words, national pride does not merely register as a blip in the statistical data, it has powerful economic consequences. We examined a sample of 295 acquisitions from developing country firms, and of those, we classified 36 as ‘national pride acquisitions’. Controlling for all other factors, we found there is a strong premium added when an element of national pride is present.
[This article has been reprinted, with permission, from Rotman Management, the magazine of the University of Toronto's Rotman School of Management]