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Fads and the Crash of '87

Mustafa Chowdhury, Ji‐Chai Lin

Open publisher page 9 citations

Abstract

Abstract This paper examines changes in return‐generating processes before and after the crash of '87. We find that the process for daily returns of size‐sorted portfolios changed from an ARMA(1, 2) in the pre‐crash period to a MA(1) in the post‐crash period. The change is explained by a “fads” model similar to that proposed by Poterba and Summers [17]. The analysis suggests that the crash may have been related to speculative fads that prevailed prior to the crash. The fads component in stock prices then disappeared after the crash. Other possible explanations are also discussed.

About this research paper

What this paper is about

Abstract This paper examines changes in return‐generating processes before and after the crash of '87. We find that the process for daily returns of size‐sorted portfolios changed from an ARMA(1, 2) in the pre‐crash period to a MA(1) in the post‐crash period. The change is explained by a “fads” model similar to that proposed by Poterba and Summers [17]. The analysis suggests that the crash may have been related to speculative fads that prevailed prior to the crash. The fads component in stock prices then disappeared after the crash. Other possible explanations are also discussed.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Abstract This paper examines changes in return‐generating processes before and after the crash of '87. We find that the process for daily returns of size‐sorted portfolios changed from an ARMA(1, 2) in the pre‐crash period to a MA(1) in the post‐crash period. The change is explained by a “fads” model similar to that proposed by Poterba and Summers [17]. The analysis suggests that the crash may have been related to speculative fads that prevailed prior to the crash. The fads component in stock prices then disappeared after the crash. Other possible explanations are also discussed.

Key concepts: Crash, Stock (firearms), Econometrics, Computer science, Economics, History, Archaeology, Programming language

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