Market prices, analysts' predictions, and Covid19

Roi D. Taussig

doi:10.1016/j.frl.2021.102343

Market prices, analysts' predictions, and Covid19

Roi D. Taussig

Department of Economics and Business Administration

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This study employs a relatively new statistical method to analyze the time-series of US market prices. Specifically, it shows, that during Covid19, the strongest structural breaks happened. Moreover, since 1993 analysts were not able to predict market stock prices significantly at the 5% level. The new statistical method allows for a better analysis of market prices and analysts' recommendations.

Original language	English
Article number	102343
Journal	Finance Research Letters
Volume	46
DOIs	https://doi.org/10.1016/j.frl.2021.102343
State	Published - May 2022

Keywords

Analysts' recommendations
Asset pricing
Market prices
State space model

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10.1016/j.frl.2021.102343

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abstract = "This study employs a relatively new statistical method to analyze the time-series of US market prices. Specifically, it shows, that during Covid19, the strongest structural breaks happened. Moreover, since 1993 analysts were not able to predict market stock prices significantly at the 5% level. The new statistical method allows for a better analysis of market prices and analysts' recommendations.",

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Market prices, analysts' predictions, and Covid19

Abstract

Keywords

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