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In Equations We Trust? Formula Learning Effects On The Exponential Growth Bias, Bryan Foltice, Thomas Langer
In Equations We Trust? Formula Learning Effects On The Exponential Growth Bias, Bryan Foltice, Thomas Langer
Bryan Foltice
This paper evaluates the possible benefits and drawbacks of the formal formula learning of compound growth as it pertains to eliminating, or at least reducing, the exponential growth bias in various household savings and debt decisions. In our main experimental study, we determine if the ability to calculate the simple compound savings formula only assists in its direct area of application with an available calculator, or if this knowledge extends into similar exponentially-based savings and debt decisions when either a calculator is prohibited or when the formula is unknown. In the process of tackling this research question, we develop a …
A Face Can Launch A Thousand Shares (And A 0.80% Abnormal Return), Matteo Arena, John Howe
A Face Can Launch A Thousand Shares (And A 0.80% Abnormal Return), Matteo Arena, John Howe
Matteo P. Arena
In this paper we examine the market reaction—price and volume—to the appearance of a firm in the Who’s News column of The Wall Street Journal. We differentiate between those firms whose articles are accompanied by a picture of an executive and a control set of firms whose articles on the same day are not accompanied by a picture. The results show a more pronounced market reaction to the “cum picture” articles, consistent with the incomplete information theory of Merton [1987] and the heuristic-based familiarity hypothesis. There is no evidence of significant long-run abnormal performance for the sample firms.