Can we explain stock momentum by industry, sector or factor momentum? Moreover, a similar question could be raised about the short-term reversal. The novel research by Li and Turkington (2021) uses a robust regression model to divide momentum and reversal returns into the main drivers. The individual momentum anomaly that broader market groups do not fully explain exists in the whole sample but is statistically weak. On the other hand, the reversal anomaly is highly significant. Secondly, the traditional 12-months momentum can be better explained by the factor momentum than the industry or sector momentum. Still, the industries, industry groups, sectors, and even factors have distinct drivers, and the anomalies seem different.

Nowadays, it is a standard that fillings such as 10-Ks and 10-Qs are analyzed with machine learning models. ML models can extract sentiment, similarity metrics and many more. However, words are not everything, and we humans also communicate in other forms. For example, we show our emotions through facial expressions, but the research on this topic in finance is scarce. Novel research by Banker et al. (2021) fills the gap and examines the CEOs facial expressions during CNBC’s video interviews about corporate earnings.

We started to systematically search for systematic cryptocurrency trading strategies in academic research approximately two years ago. This article is a short analysis of the performance of systematic crypto strategies in 2021. We conclude that non-price predictors offered advantages over price-based only trading strategies in the previous year-to-date and 12-months periods.

Summer Olympics are a major event that attracts attention from the moment the host country is announced. However, that’s not shocking. The Olympics require a lot of planning, infrastructure building and investments. Still, countries battle for the opportunity to host these events. Undoubtedly, hosting the Olympics is prestigious, helps tourism, and many even argue that it also helps the domestic economy despite the costs of hosting. Therefore, it is natural to expect that the Tokyo Olympics should impact the domestic stock market.

Hello all,

What have we accomplished in the last month?

– 11 new Quantpedia Premium strategies have been added to our database
– 10 new related research papers have been included in existing Premium strategies during the last month
– Additionally, we have produced 10 new backtests written in QuantConnect code
– Two new Quantpedia Pro reports – “Market Segments” and “Strategy Segments”
– Redesigned “Quantpedia Explains” subpage now contains both short demo videos and multiple case studies.
– And finally, four new blog posts that you may find interesting have been published on our Quantpedia blog in the previous month

Undoubtedly, in the recent past, the value is under scrutiny. Many researchers have aimed to answer questions like is the Value factor dead? The recent underperformance of the academic value factor (HML) can be tricky to understand, especially when most well-known and influential investors are labelled as “value” investors. A novel research paper by Choi et al. (2021) adds to the literature with its valuable insights. The main topic of the paper is the thorough examination of the B/M ratio in value style investing. Despite the well-known fact of the economy shift towards intangible assets, value investing still seems to be anchored to the B/M ratio that underestimates the true value. For example, Fama and French’s well-known HML value factor is based on B/M, value indexes are based on B/M (such as Russell value indexes) and subsequently, ETFs and benchmarks too.