Predicting short-term stock fluctuations by using processing fluency

被引:215
作者
Alter, Adam L. [1 ]
Oppenheimer, Daniel M. [1 ]
机构
[1] Princeton Univ, Dept Psychol, Princeton, NJ 08544 USA
关键词
heuristic reasoning; psychology; stock market;
D O I
10.1073/pnas.0601071103
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Three studies investigated the impact of the psychological principle of fluency (that people tend to prefer easily processed information) on short-term share price movements. In both a laboratory study and two analyses of naturalistic real-world stock market data, fluently named stocks robustly outperformed stocks with disfluent names in the short term. For example, in one study, an initial investment of $1,000 yielded a profit of $112 more after 1 day of trading for a basket of fluently named shares than for a basket of disfluently named shares. These results imply that simple, cognitive approaches to modeling human behavior sometimes outperform more typical, complex alternatives.
引用
收藏
页码:9369 / 9372
页数:4
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