Since recessions and bear markets come hand in hand for several asset classes, recession predictions have always been the foremost concern. The yield curve slope, defined as the difference between long and short-term rates, is the leading indicator backed by numerous research papers. Hansen (2021) builds on this theorem, but the author improves the recession prediction by his empirical observation that the VIX index (index of implied equity volatility or fear index) and the slope co-move in counterclockwise cycles, which align with business cycles.

https://quantpedia.com/vix-yield-curve-cycles-may-predict-recessions/

This research aimed to examine the widely recognized Skewness Effect and the possibility of using ETFs as trading instruments. The skewness was found in many asset classes, and the ETFs could be utilized as trading instruments to exploit this effect. We examined two skewness anomalies — the short one-month and the long twelve-months skewness across two samples of commodity ETFs, sector ETFs, and country ETFs.

https://quantpedia.com/lottery-effect-in-etfs-across-several-asset-classes/

The critical question of this research is to examine whether the quality factor could be found in the aggregated groups of similar stocks such as industries or sectors. Additionally, instead of constructing a comprehensive quality metric like other papers, we examine the individual ratios aggregated to the whole sector. The aim is to investigate the fundamental ratios on which quality is based rather than the composite quality score of sectors.

https://quantpedia.com/quality-factor-in-sector-investing/

The high-frequency data in cryptocurrency markets is available at any time of the day, which facilitates the studies of periodicity measures beyond what’s possible in other markets. The research paper by Hansen, Kim, and Kimbrough (2021) investigates the periodicity in volatility and liquidity in two major cryptocurrencies, Bitcoin and Ether, using data from three exchanges, Binance, Coinbase Pro, and Uniswap V2. In particular, the authors measure relative volatility and relative volume across days, hours, and minutes. Their results have confirmed the presence of recurrent patterns in volatility and volume in studied cryptocurrencies for the periods day-of-the-week, hour-of-the-day, and within the hour.

https://quantpedia.com/periodicity-in-cryptocurrencies-recurrent-patterns-in-volatility-and-volume/

Grid trading is an automated currency trading strategy where an investor creates a so-called “price grid”. The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting and covering). We will explore the basics and show favorable and unfavorable scenarios in the first article about this trading style. Later articles will dig deeper and investigate how Grid trading is related to other systematic trading strategies.

https://quantpedia.com/a-primer-on-grid-trading-strategy/

Our new article investigates “rebalancing premium” or “diversification return” in cryptocurrencies that investors can achieve by periodically rebalancing their portfolios. We analyze whether the daily/ monthly rebalanced portfolios outperform a simple buy-and-hold portfolio of cryptocurrencies. Additionally, we also look at the various combinations of volatile cryptocurrency portfolios with low-risk bonds.

https://quantpedia.com/estimating-rebalancing-premium-in-cryptocurrencies/

Quantpedia

Quantpedia.com — The Encyclopedia of Quantitative and Algorithmic Trading Strategies

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