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JANKOVÁ, Z.
Originální název
Sentiment on the Stock Markets: Evidence from the Wavelet Coherence Analysis
Anglický název
Druh
Článek WoS
Originální abstrakt
In this paper we propose to use wavelet analysis to determine the relationship between investor sentiment and stock index. Based on stock indices in various markets and alternative indicators, sentiment using wave analysis uses the intensity and correlation between sentiment and stock index returns in the short and long term. Initially a strong relationship identified by wavelet coherence and phase difference gradually becomes less intense with increasing time horizon. This suggests that overestimation or underestimation in the short term is gradually corrected in the long run. In addition, a stronger relationship can be observed between investor sentiment and stock indices in times of crisis, including COVID-19 pandemics.
Anglický abstrakt
Klíčová slova
sentiment index; stock index; stock market; wavelet analysis wavelet coherence
Klíčová slova v angličtině
Autoři
Rok RIV
2021
Vydáno
07.10.2020
Nakladatel
University of Pardubice, Faculty of Economics and Administration
Místo
Pardubice, Czech Republic
ISSN
1804-8048
Periodikum
Scientific Papers of the University of Pardubice-Series D-Faculty of Economics and Administration
Svazek
28
Číslo
3
Stát
Česká republika
Strany od
1
Strany do
10
Strany počet
URL
https://editorial.upce.cz/1804-8048/28/3/1105
BibTex
@article{BUT165505, author="Zuzana {Janková}", title="Sentiment on the Stock Markets: Evidence from the Wavelet Coherence Analysis", journal="Scientific Papers of the University of Pardubice-Series D-Faculty of Economics and Administration", year="2020", volume="28", number="3", pages="1--10", doi="10.46585/sp28031105", issn="1211-555X", url="https://editorial.upce.cz/1804-8048/28/3/1105" }