Market prices, analysts' predictions, and Covid19
Roi D. Taussig
Finance Research Letters, 2022, vol. 46, issue PA
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.
Keywords: Market prices; Asset pricing; Analysts' recommendations; State space model (search for similar items in EconPapers)
JEL-codes: G11 G12 G13 G14 G17 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612321003536
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:46:y:2022:i:pa:s1544612321003536
DOI: 10.1016/j.frl.2021.102343
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().