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This study focuses on listed and over-the-counter (OTC) companies in the Taiwan Stock Exchange. It found that an increase in the ownership proportion of institutional investors (INs), including foreign investors, investment trusts, and dealers can enhance the informativeness of stock prices. The relationship between these factors follows an inverted U-shaped pattern, indicating that excessively high ownership ratios can actually lead to a decrease in the informativeness of stock prices. Additionally, increasing the ownership proportions of foreign investors and investment trusts can reduce the risk of stock price collapse, while dealers show no significant relationship in this regard. This study also reveals that the technical variable of the price deviation rate is an important explanatory factor for post-collapse returns. It is positively correlated with the magnitude of the price decline after a collapse, meaning that stocks with weaker pre-collapse performance experience larger post-collapse declines. When the data during the 2020 pandemic period are excluded, changes in foreign ownership ratios show a significant positive correlation with postcrash returns in both the long and short term. The significant correlation in the short term may be due to a high proportion of foreign ownership. Any reduction in this could put pressure on stock prices, and retail investors may follow suit and sell-off, using foreign investors as a reference. The significant correlation in the long term might be due to foreign investors themselves possibly also trying to avoid the pressure that their own short-term sell-offs could exert on stock prices. The changes in the ownership ratios of investment trusts and dealers indicate that medium and long-term changes have a significant impact on postcrash returns, while the changes in the major players' ownership show no significant correlation. When data from 2020 are included in the analysis, the significance of all INs decreases.

Motivated by significant global developments affecting the sell-side industry, in particular a shift toward passive investments and growing regulation, this study examines whether financial analyst coverage declined over the past decade and if any loss of analyst coverage is associated with a change in forecast accuracy.

After investigating, and confirming, a general decline in analyst following, the authors calculate the loss of analyst coverage relative to the firm-specific maximum between 2009 and 2013. In multivariate analyses, the authors then examine whether this loss of coverage differs across geographic region, firm size and capital market development, and whether it is associated with consensus analyst accuracy.

Results indicate that between 2011 and 2021, firm-specific analyst coverage globally declined 17.8%, while the decline in the EU was an even greater, 28.5%. Within the EU, results are most pronounced for small-cap firms. As a consequence of the loss of coverage, the authors observe a global decline in forecast accuracy, with EU small-cap firms and firms domiciled in EU non-developed capital markets faring the worst.

This study is the first to document a concerning global decline in analyst coverage over the past decade. The study results provide broad-based empirical support for anecdotal reports that smaller firms in the EU and those in EU non-developed capital markets bear the brunt of consequences stemming from changes in the sell-side analyst industry.

In the stock market, herding behavior occurs when investors mimic the actions of others in their investment decisions. As a result, the market becomes inefficient and speculative bubbles form. This study aims to investigate the relationship between information, overconfidence, market sentiment, experience and national culture, and herding behavior among Malaysian investors. A total of 400 questionnaires are distributed to bank institutions' investors. The survey design based on cross-sectional data is analyzed using the Partial Least Squares Structural Equation Model. The results indicate that information, market sentiment, experience, and national culture are positively related to herding behavior, while overconfidence has no effect. With this, the government should strengthen regulations to prevent the dissemination of misleading information. Moreover, investors are encouraged to overcome narrow thinking by expanding their understanding of different cultures when making investment decisions.

This study aims to shed light on the evolving nature of banks in the digital era and the implications for bank marketing and management. The research addresses the need for a comprehensive typology of banks that integrates fintech and explores how traditional and app-only banks strategically position their brands. The key argument is that understanding the changing landscape of banking and the impact of technological advancements is crucial for banks to navigate the challenges and opportunities presented by fintech and digital transformation.

This study examines literature and practices to develop a typology of banks, describing their characteristics, strengths, weaknesses and providing examples. It also proposes new research agendas for scholars and practitioners in the field.

This paper introduces a typology of banks based on their adoption of fintech and digital technologies. Three distinct types of banks are identified: Traditional banks adopting FinTech (TBAF), Traditionally Driven Neo Banks (TDNBs) and Digitally Driven Neo Banks (DDNBs). TBAF are traditional banks that have embraced fintech solutions to enhance their operations and customer experiences. TDNBs represent a hybrid model, combining the trusted brand and infrastructure of traditional banks with the digital capabilities and agility of neo banks. DDNBs are purely digital banks that operate exclusively online, offering innovative and user-friendly banking services.

This study is a pioneering work that classified banks based on their utilization of fintech and digital technologies. The study provides a typology of banks based on fintech adoption, offering valuable insights for bank managers, policymakers and researchers. The research also outlines a research agenda, suggesting future investigations to further enhance understanding of the evolving banking landscape and its implications.

The priority of this study is to contribute to the literature by examining herding behavior at different periods of the COVID-19 pandemic. Furthermore, this study aims to investigate the herding behavior conditioned on market liquidity and information demand.

This study investigates herding behavior in Vietnam's stock exchanges (Ha Noi Stock Exchange and Ho Chi Minh Stock Exchange) on a sample of daily stock closing prices of 425 firms from 2018 to the first half of 2022.

The research confirms the existence of herding behavior not only for the whole but also during and post-COVID periods. These results are robust in both bull and bear markets, further confirming the influence of COVID-19 on herding in Vietnamese background. Moreover, when the authors condition exogenous factors for each period, the herding tendency is more evident at the medium market liquidity level than at high and low levels. Besides, the pandemic causes herding behavior of investors with low and medium information demand.

These findings imply some recommendations that facilitate investors, policymakers and researchers in the context of the COVID-19 crisis.

The study contributes to the herding literature by examining herd behavior during the post-COVID period, suggesting the long-term impact of the health crisis. Furthermore, the research provides new evidence of herding behavior conditioned on market liquidity and information demand during different COVID sub-periods.