We highlight herding of investors as one major risk factor that is typically ignored in statistical approaches to portfolio modelling and risk management. Our survey focuses on smart-beta investing where such methods and investor herding seem particularly relevant but its negative effects have...

Value investing, as defined by the Fama–French HML factor, has underperformed growth investing since 2007, producing a drawdown of 55% as of mid-2020. The underperformance leads many to argue that value is dead. Our analysis attributes value's recent underperformance to two sources: the HML...

Using daily advertising data, we analyze the short-term effects of advertising on investor attention and on financial market outcomes. Based on various investor attention proxies, we show that advertising positively affects attention. However, it has only little impact on turnover and liquidity....

This paper analyzes how trading after shareholder meetings changes the composition of the shareholder base. Analyzing daily trades, we find that mutual funds reduce their holdings if their votes are opposed to the voting outcome. Trading volume is high even when stock prices do not change, peaks...

We analyze herding behavior in the Chinese stock markets in the context of the COVID-19 pandemic using the cross-sectional absolute deviation (CSAD) model proposed by Chang et al. (2000) to detect herding behavior in the time period between January 30, 2001, and June 12, 2020. We consider stock...

Through globalization and financial market liberalization, the opening up of markets has increased cross-border investments as investors search for higher risk-adjusted returns. This ability to invest internationally has raised the attention given to emerging markets that offer higher...

Purpose - The present research aims to examine a range of momentum trading strategies for the tourism and hospitality sector. Design/methodology/approach - The paper followed the methodology of Jegadeesh and Titman (1993) to construct the portfolios. In this methodology, all portfolios were...

This study shows how correlated information consumption (CIC) of retail investors relates to comovement in stock market outcomes. We construct clusters of stocks with CIC by employing network analysis on Google co-search data. We predict significant comovement in returns and liquidity of stocks...

This paper investigates the existence of herding behavior in cryptocurrencies market. Using data of the 20 large cryptocurrencies and MV Index Solution Crypto Compare Digital Assets for large cap index, we found no evidence of herding behavior using cross-sectional absolute standard deviation...

This paper examines how the largest stock market of the world, the U.S., and particularly the S&P500 index, reacted during the COVID-19 outbreak (02.01.2020-30.04.2020). Using simple financial and corporate analysis (adopting Constant Growth Model) procedures for our theoretical framework, we...