This study examines 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. We proxy for negative and positive investor sentiments using the Google Search Volume Index for terms related to the coronavirus disease (COVID-19) and COVID-19 vaccine, respectively. Using weekly data from March 2020 to May 2021, we document significant relationships between positive and negative investor sentiments and stock market returns and volatility. Specifically, an increase in positive investor sentiment leads to an increase in stock returns while negative investor sentiment decreases stock returns at lower quantiles. The effect of investor sentiment on volatility is consistent across the distribution: negative sentiment increases volatility, whereas positive sentiment reduces volatility. These results are robust as they are corroborated by Granger causality tests and a PVAR model. The findings may have portfolio implications as they indicate that proxies for positive and negative investor sentiments seem to be good predictors of stock returns and volatility during the pandemic.

The aim of this study is to analyse the presence of a causal link among financial markets of Central and Eastern Europe (CEE) countries by adopting an asymmetric causality test. The standard causality test results suggest a causal relation running from the Czech Republic to Poland. Also, the Poland stock market is found to be a Granger cause of Turkey stock markets. Asymmetric causality test results indicate only a causal link going from the Czech Republic to Hungary and Poland. In addition, the presence of financial integration between Germany and CEE equity markets cannot be determined.

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Bu çalışmada, COVID-19 toplam vaka sayısı ile brent petrol ve altın ons fiyatları arasındaki uzun dönemli eşbütünleşme ilişkisi araştırılmıştır. Analiz dönemi olarak 31 Aralık 2019 ile 17 Ağustos 2020 tarihleri arası günlük frekansta veriler kullanılmıştır. Değişkenler arasındaki eşbütünleşme ilişkisi, Nielsen (2010) tarafından önerilen parametrik olmayan yöntemle incelenmiştir. Elde edilen bulgular, toplam vaka sayısı ile petrol ve altın fiyatları arasında hem ikili hem de eşbütünleşme ilişkisi olduğunu ortaya koymuştur. Bu bulgu ile, COVID-19 salgınının ülke ekonomilerini ve finans piyasalarını etkileyeceği sonucuna ulaşılmıştır.