Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19

CL Chang, M McAleer, YA Wang - Renewable and Sustainable Energy …, 2020 - Elsevier
Environmental change created worldwide interest in investing in renewable energy. Less
reliance on fossil fuels would have a substantial influence on investors for alternative …

Herding in financial markets: a review of the literature

S Spyrou - Review of Behavioral Finance, 2013 - emerald.com
Purpose–The purpose of this paper is to provide a review of theory and empirical evidence
on herding behavior in financial markets. Design/methodology/approach–Review and …

How financial literacy moderate the association between behaviour biases and investment decision?

M Adil, Y Singh, MS Ansari - Asian Journal of Accounting Research, 2022 - emerald.com
Purpose The purpose of the study is to examine the impact of behavioural biases (ie
overconfidence, risk-aversion, herding and disposition) on investment decisions amongst …

The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets

L Yarovaya, R Matkovskyy, A Jalan - Journal of International Financial …, 2021 - Elsevier
This paper analyses herding in cryptocurrency markets in the time of the COVID-19
pandemic. We employ a combination of quantitative methods to hourly prices of the four …

COVID-19 effect on herding behaviour in European capital markets

C Espinosa-Méndez, J Arias - Finance research letters, 2021 - Elsevier
This article investigates whether COVID-19 pandemic had an effect on herding behaviour in
Europe. Using a sample from the stock exchanges of France (Paris), Germany (Frankfurt) …

[HTML][HTML] Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets.

I Yousaf, L Yarovaya - Finance Research Letters, 2022 - Elsevier
We examine the static and time-varying herding behavior in three cryptocurrency
classes:'conventional'cryptocurrencies, non-fungible tokens, and DeFi assets during the …

Which sentiment index is more informative to forecast stock market volatility? Evidence from China

C Liang, L Tang, Y Li, Y Wei - International Review of Financial Analysis, 2020 - Elsevier
In this paper, we investigate the predictive ability of three sentiment indices constructed by
social media, newspaper, and Internet media news to forecast the realized volatility (RV) of …

Transfer learning assisted classification and detection of Alzheimer's disease stages using 3D MRI scans

M Maqsood, F Nazir, U Khan, F Aadil, H Jamal… - Sensors, 2019 - mdpi.com
Alzheimer's disease effects human brain cells and results in dementia. The gradual
deterioration of the brain cells results in disability of performing daily routine tasks. The …

[HTML][HTML] Cryptocurrency market efficiency in short-and long-term horizons during COVID-19: An asymmetric multifractal analysis approach

S Kakinaka, K Umeno - Finance Research Letters, 2022 - Elsevier
This study investigates asymmetric multifractality and market efficiency of the major
cryptocurrencies during the COVID-19 pandemic while accounting for different investment …

[HTML][HTML] Herding in the bad times: The 2008 and COVID-19 crises

S Ferreruela, T Mallor - The North American Journal of Economics and …, 2021 - Elsevier
The objective of this paper is to analyze the imitation behavior of investors in especially
convulsed periods, such as the 2008 financial crisis and the recent global pandemic, both of …