Hello all,

What have we accomplished in the last month?

– 19 new Quantpedia Premium strategies have been added to our database
– 11 new related research papers have been included in existing Premium strategies during the last month
– Additionally, we have produced 15 new backtests written in QuantConnect code
– And finally, 4+3 new blog posts that you may find interesting have been published on our Quantpedia blog in the previous month

It’s always fun to push the boundaries of technology and see what it can do. The AI chatbots are the hot topic of current discussion in the quant blogosphere. So we have decided to test OpenAI’s ChatGPT abilities. Will we persuade it to become a data analyst for us? While we may not be there yet, it’s clear that AI language models like ChatGPT can soon revolutionize how we approach to finance and data analysis.

If you’re a regular reader of our blogs (and we hope you are!), you would not miss that we like to touch macro-economic subjects. One of that never-fading topics is the role of gold as a crisis hedge. The probably most known commodity is a popular choice for a portion of the total portfolio, from small investors to central banks, for various reasons (be it diversification or hedging). So let’s not further delay it, and today we ask: Is gold really a safe haven?

The expected return on the “variance factor” known as variance risk premium (VRP) is nothing new to options markets. For any investor interested in benefitting from this phenomenon, we present the study of Dörries et al. (2021), which provides a clear overview of different VRP-earning strategies.

In the last third installment, we will finish exploring the world of market timing strategies (see parts 1 & 2). We will focus on yield curve predictors and incorporate all three ideas (price-based, macro-economic, and yield curve predictors) into one final trading strategy that yields an annual return above that of the stock market while doubling its Sharpe ratio and reducing maximal drawdown by two thirds.

In this second installment in a series of three articles, we will continue with our goal to construct a market timing strategy that would sidestep the equity market during bear markets. A few days ago, we started with price-based market timing strategies. Today, we will focus on macroeconomic indicators and predictors derived from the movements in the commodity markets.