We examine key developments in trade-related activity in derivatives markets during the COVID-19 pandemic. Using a unique database spanning 113 exchanges and 40 countries, we find significant large increases in volumes and open interest using event study methods. Further, drawing upon techniques...

Using the BJZZ (2021) subpenny transaction price algorithm, we identify a broad swath of marketable retail investor orders in the U.S. market between January 2020 and June 2021. During the pandemic period, the retail trading volume we identify increases from 10% of total market volume to about...

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...

This paper aims to discuss market efficiency due to the changes that appeared in this field after the COVID-19 outburst. The OMX exchange and its indices are taken into consideration because they represent markets not analysed in such a context before (a) Baltic: Estonia, Latvia and Lithuania;...

This paper analyzes market efficiency (EMH) with the day-of-the-week effect and the changes that might appear after the outbreak of the COVID-19 pandemic, based on the example of the OMX Exchange and its indices. Before the pandemic, only the OMX Baltic All‑share index was efficient; during...

We study information substitutability in the financial market through a quasi-natural experiment: the pandemic-triggered lockdown that has hampered people's physical interactions hence the ability to collect, process, and transmit soft information. Exploiting the cross- sectional and time-series...

During the COVID-19 market crash, U.S. stocks with higher institutional ownership -- in particular, those held more by active, short-term, and more exposed institutions -- performed worse. Portfolio changes through the first quarter of 2020 reveal that institutional investors prioritized...

This study examines the impacts of investor sentiment and liquidity on the idiosyncratic volatility (IVOL) anomaly returns in Vietnam before and during the COVID-19. We construct an internet search-based measure of sentiment (FEARS) from the Google Trends Search Volume Index of Vietnam’s...