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Journal ArticleDOI

Investor sentiment and government policy interventions: evidence from COVID-19 spread

TLDR
In this article, the authors investigated the role of government policy interventions on the early spread of novel coronavirus (COVID-19) on the investor sentiment and stock returns relationship.
Abstract
Purpose: This paper aims to investigate the moderating role of government policy interventions amid the early spread of novel coronavirus (COVID-19) (January–May 2020) on the investor sentiment and stock returns relationship. Design/methodology/approach: This paper uses panel data from a sample of 53 countries to examine the impact of investor sentiment, measured by the financial and economic attitudes revealed by the search (FEARS) index (Da et al., 2015) on the stock return. Findings: The moderating role of government policy response indices with the FEARS index on the global stock returns is further explored. This paper finds that government policy responses have a moderating role in the sentiment and stock returns relationship. The effect holds true even when countries are split based on five classifications, i.e. cultural distance, health standard, government effectiveness, social well-being and financial development. The results are robust to an alternative measure of pandemic search intensity, quantile regression and two measures of stock market activity, i.e. conditional volatility and exchange traded fund returns. Research limitations/implications: The sample period of this study encompasses the early spread phase (January–May 2020) of the novel COVID-19 spread. Originality/value: This paper provides some early evidence on whether the government policy interventions are helpful to mitigate the impact of investor sentiment on the stock market. The paper also helps to shed better insights on the role of different country characteristics for the sentiment and stock return relationship. © 2021, Emerald Publishing Limited.

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Journal ArticleDOI

Investor sentiments and stock markets during the COVID-19 pandemic

TL;DR: In this paper , the authors examined the relationship between positive and negative investor sentiments and stock market returns and volatility in Group of 20 countries using various methods, including panel regression with fixed effects, panel quantile regressions, a panel vector autoregression (PVAR) model, and country-specific regressions.
Journal ArticleDOI

Investor sentiments and stock markets during the COVID-19 pandemic

TL;DR: In this article , the authors examined the relationship between positive and negative investor sentiments and stock market returns and volatility in Group of 20 countries using various methods, including panel regression with fixed effects, panel quantile regressions, a panel vector autoregression (PVAR) model, and country-specific regressions.
Journal ArticleDOI

The COVID-19 pandemic uncertainty, investor sentiment, and global equity markets: Evidence from the time-frequency co-movements

TL;DR: In this article , a time-frequency based wavelet approach comprising wavelet coherence and phase difference was used to measure pandemic uncertainty and its effect on stock market activity, while controlling the effect of the Financial and Economic Attitudes Revealed by Search (FEARS) sentiment index.
Journal ArticleDOI

The asymmetric effect of COVID-19 government interventions on global stock markets: New evidence from QARDL and threshold regression approaches

TL;DR: In this paper , the authors examined the effect of COVID-19 government interventions on global stock markets using a sample of 61 countries over the period of January 2020 to December 2021, applying Quantile ARDL (QARDL) and panel threshold regressions.
References
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Noise Trader Risk in Financial Markets

TL;DR: In this article, the authors present a simple overlapping generations model of an asset market in which irrational noise traders with erroneous stochastic beliefs both affect prices and earn higher expected returns.
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Detecting influenza epidemics using search engine query data

TL;DR: A method of analysing large numbers of Google search queries to track influenza-like illness in a population and accurately estimate the current level of weekly influenza activity in each region of the United States with a reporting lag of about one day is presented.
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What does this study say about the investors In the governmnet stock market?

Government policy interventions during COVID-19 moderated the relationship between investor sentiment and stock returns globally, showing effectiveness in mitigating sentiment impact on the stock market.

What is the relationship between investors’ sentiment and the spread ?

The paper investigates the moderating role of government policy interventions on the relationship between investor sentiment and stock returns during the early spread of COVID-19.