This paper investigates the effect of herd behavior, or information cascades, on the willingness to be vaccinated against COVID-19. We use the 2021/2022 wave of the European Social Survey combined with data from the organization Our World in Data and measure the herding behavior as the change in...

This paper investigates the relationship between aggregate market herding and investor attention in seven selected equity markets over the period of 2004-2019. The multinomial logistic regression employed in this study provides a more direct, comprehensive, and straightforward test than other...

This paper investigates the effect of herd behavior, or information cascades, on the willingness to be vaccinated against COVID-19. We use the 2021/2022 wave of the European Social Survey combined with data from the organization Our World in Data and measure the herding behavior as the change in...

This study explores herding behavior in the cryptocurrency market during three major international crises: the COVID-19 pandemic, the Russia-Ukraine war, and the Palestine-Israel conflict. The study uses daily closing prices of five major cryptocurrencies (Bitcoin, Ethereum, Tether, BNB, and...

Using overlapped portfolio data on public equity funds in Korea, the authors construct several types of fund-stock weighted bipartite networks and measure fund network centrality. The authors also examine the relationship between network centrality and fund investment performance. The authors'...

Purpose This empirical study uses herd behavior model to explore the role of anchor investors in ensuring fundraising success and overfunding of crowdfunded ventures. Design/methodology/approach Qualitative comparative analysis (QCA) is applied to find the configurational patterns describing how...

This study explains the role of economic uncertainty as a bridge between business cycles and investors' herding behavior. Starting with a conventional stochastic differential equation representing the evolution of stock returns, we provide a simple theoretical model and empirically demonstrate...

This paper examines the hypothesis of local herding (i.e. own-area effects) by individual investors on a particular stock-month. Using a unique dataset on online and offline individual investors' trading records in Korea, we analyze buying and selling transactions involving 10,000 accounts from...

Efficiency in stock markets is essential for economic stability and growth. This study investigates the efficiency and herding behavior of the stock markets from the top economies of the world (known as G20 countries). We classify stock market indices using MSCI classification for the developed...

Strategies for sustainable intensification of livestock are becoming increasingly important in designing interventions to develop the sector. In dairying systems, herd health management is among such strategies. While adoption patterns and productivity gains have been analyzed in previous...

The study aims to determine the influence of behavioural biases on financial risk propensity. It also attempts to examine the influence of financial risk propensity on investment decisions and the mediational role of financial risk propensity on the relationship between behavioural biases and...

Although the 2022 cryptocurrency market crash prompted despair among investors, the rallying cry, "wagmi" (We're all gonna make it.) emerged among cryptocurrency enthusiasts in the aftermath. Did cryptocurrency enthusiasts respond to this crash differently compared to traditional investors?...

As a colossal developing economy, irrational, and inefficient trades broadly exist in China's stock market and are intensified by the once-in-a-century COVID-19 pandemic. This atypical but prominent event enhances systemic risk and requires a more effective analysis tool that adapts to the...

Efficient financial markets are important for pricing assets at fair value. In an efficient market, investors are rational in the face of fast and accurate information flow, evaluate the information correctly, and reflect it in their pricing decisions. However, particularly in times of crisis...

Purpose - This paper examines the factors which impact the behavioral intentions toward cryptocurrency based on signaling theory. Design/methodology/approach - Data were collected through online questionnaire, and responses from 223 individuals in Lebanon were analyzed through SEM technique...

This study investigates the role of financial market uncertainty in institutional herding and its impact on stock prices. We show that financial market uncertainty is a determinant of institutional herding. Fund managers tend to follow the trades of other managers more frequently during high...

The arrival of new information, in conjunction with investor cognitive biases, has commonly been acknowledged as main causes of herding behavior. However, whether past market information embedded in market memory has influence on investors’ herding is less explored. This study utilizes...

This study examines the causality relationship between information asymmetry and herding behavior by considering the factors of regret and cognitive dissonance. The moderated-moderation model assigns regret as the first-order moderator and cognitive dissonance as the second-order moderator. The...