Now you see it now you don't: The effectiveness of the recognition heuristic for selecting stocks.
Journal Title: Judgment and Decision Making - Year 2007, Vol 2, Issue 1
Abstract
It has been proposed that recognition can form the basis of simple but ecologically rational decision strategies (Gigerenzer & Goldstein, 1996). Borges, Goldstein, Ortmann, & Gigerenzer (1999) found that constructing share portfolios based on simple name recognition alone often yielded better returns than the market index. We describe four studies with seven samples of participants from three countries (total N = 319) in which the returns of recognized and unrecognized shares from several stock markets were tracked over various periods of time. We find no support for the claim that a simple strategy of name recognition can be used as a general strategy to select stocks that yield better-than-average returns. However, there was some suggestion in the data that recognition performs better when the market is falling and worse when it is rising. A follow-up study indicated that the absence of an overall recognition effect could not easily be attributed to our reliance on student participants or smaller samples than Borges et al. (1999) had used. We conclude that, with respect to changes in value, selecting stocks on the basis of name recognition is a near-random method of portfolio construction that offers little, if any, benefit to the personal investor.
Authors and Affiliations
Patric Andersson and Tim Rakow
Using cognitive models to combine probability estimates
We demonstrate the usefulness of cognitive models for combining human estimates of probabilities in two experiments. The first experiment involves people’s estimates of probabilities for general knowledge questions such...
The value of victory: social origins of the winner’s curse in common value auctions
Auctions, normally considered as devices facilitating trade, also provide a way to probe mechanisms governing one’s valuation of some good or action. One of the most intriguing phenomena in auction behavior is the winner...
Still no compelling evidence that Americans overestimate upward socio-economic mobility rates: Reply to Davidai & Gilovich (2018)
Davidai and Gilovich (2018) contend that (a) Americans tend to think about their nation’s income distribution in terms of quintiles (fifths), and (b) when Americans’ perceptions of socio-economic mobility rates are measu...
The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers
Using capture-recapture analysis we estimate the effective size of the active Amazon Mechanical Turk (MTurk) population that a typical laboratory can access to be about 7,300 workers. We also estimate that the time taken...
How to study cognitive decision algorithms: The case of the priority heuristic
Although the priority heuristic (PH) is conceived as a cognitive-process model, some of its critical process assumptions remain to be tested. The PH makes very strong ordinal and quantitative assumptions about the strict...