Do retail day traders have a chance in current financial markets? They often lack proper trading research and infrastructure; they are facing high fees and stiff competition from professionals. But it’s always useful to view actual hard numbers and performance statistics and not just rely on feelings. Luckily, some academic research papers are exploring the question of the performance of retail traders. Chague, De-Losso, and Giovannetti have written the newest one, and as expected, their findings are not very favorable for retail day traders.

Authors: Chague, De-Losso, Giovannetti

Title: Day Trading for a Living?

Dear readers,

The biggest story in August was our successful migration to a new core back-end system. But we have accomplished much more – four new Quantpedia Premium strategies have been added into our database and two new related research papers have been included into existing Premium strategies.

Additionally, we have produced over 30 new backtests written in QuantConnect code. Therefore our database currently contains over 120 strategies with out-of-sample backtests/codes.

Also, four new blog posts you may find interesting have been published on our Quantpedia blog.

Best regards,

Radovan Vojtko
CEO & Head of Research

The correlation between bonds and stocks is essential information for asset allocation decisions; therefore understanding its macro-economic drivers is very valuable for all investors. Stocks-bonds correlation isn’t stable, as we have experienced in the last 30 years, as the correlation, which was positive until the end of the 1990s, changed sign at the turn of the century. Research paper written by Marcello Pericoli sheds more light on this issue and shows that the correlation is primarily influenced by the uncertainty about inflation and real interest rates as well as by co-movement between inflation, real interest rates and dividend growth.

Author: Pericoli

Title: Macroeconomics Determinants of the Correlation Between Stocks and Bonds

Hello,

We’ve launched our new website with the updated core back-end technology. Therefore it’s required for all users to change their password (your previous will not work anymore).

It’s really simple, just visit this link.

If you would like to submit any feedback regarding our new website, please let us know at info@quantpedia.com

We appreciate your patience and understanding.

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Radovan Vojtko

CEO

The low volatility factor is a well-known example of a stock trading strategy that contradicts the classical CAPM model. A lot of researchers are trying to come up with an explanation for driving forces behind the volatility effect. One such popular explanation is the ‘attention-grabbing’ hypothesis – which suggests that low-volatility stocks are ‘boring’ and therefore require a premium relative to ‘glittering’ stocks that receive a lot of investor attention. Research paper written by Blitz, Huisman, Swinkels and van Vliet tests this theory and concludes that ‘attention-grabbing’ hypothesis can't be used to explain outperformance of low volatility stocks.

Related to: #7 – Low Volatility Factor Effect in Stocks

Authors: Blitz, Huisman, Swinkels, van Vliet

Title: Media Attention and the Volatility Effect

Cryptocurrencies are a new asset class, and researchers have just started to understand better fundamental forces which are behind their price action. A new research paper shows that Bitcoin’s price can be modeled by Metcalfe’s Law. Bitcoin (and other cryptocurrencies) are in this characteristic very similar to Facebook as their value depends on the number of active users – network size

Authors: Peterson

Title: Bitcoin Spreads Like a Virus