Exploration of CTA Momentum Strategies Using ETFs

18.January 2024

Commodity Trading Advisor (CTA) funds are commonly associated with managed futures investing; however, beyond commodities, they have the flexibility to venture into other assets, including interest rates, currencies, fixed income, and equity indices. Most of the CTA strategies are trend-following, taking long positions in markets experiencing upward trends and short positions in markets undergoing downward trends, with the expectation that these trends will persist. CTA funds demonstrate a negative correlation with traditional assets, especially evident during periods of pronounced downturns in equity markets, and this characteristic positions them as an appealing alternative investment option, serving as a protective measure against extreme events in financial markets. We aim to explore these trend-following strategies by creating a “CTA proxy” using ETFs across all asset classes. Using ETFs allows for maintaining the diversification of CTA funds and represents an alternative with easier data availability compared to futures contracts. Additionally, we are very interested in seeing the contribution of the short leg of CTA sub-strategies to performance, as we have a hypothesis that we can significantly improve the risk-return profile of the CTA strategies by removing a short leg portion of the strategy from some assets.

Continue reading

Quantpedia’s Research in 2023

8.January 2024


Dear readers & clients,

As we celebrate the dawn of another year, it’s a great occasion to reflect on Quantpedia’s journey in the previous 12 months. While 2023 certainly had its own share of challenges, luckily, the movements in financial markets were not as seismic as during the events that unfolded in 2022. As always, I am really proud of my whole team for their work as we continue fulfilling our primary mission to process academic research related to quant & algo trading to a more user-friendly form.

So, what are the main highlights?

Continue reading

Top Ten Blog Posts on Quantpedia in 2023

27.December 2023

As usual, at this time of the year, let us do a short recapitulation of posts on our blog in the previous 12 months. We have published over 75 short analyses of academic papers and our own research articles on this blog in 2023. We want to use this opportunity to summarize 10 of them, which were the most popular (based on the Google Analytics tool). The top 10 is really diverse; maybe you will be able to find something you have not read yet …

Continue reading

Quantpedia in November 2023

8.December 2023

Hello all,

What have we accomplished in the last month?

– A new Alpha Analysis report
– 13 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 8 new backtests written in QuantConnect code
– 4 new blog posts that you may find interesting have been published on our Quantpedia blog in the previous month

Continue reading

Quantpedia in October 2023

6.November 2023

Hello all,

What have we accomplished in the last month?

– A new Quantpedia AI Chatbot unveiled
– 12 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 7 new backtests written in QuantConnect code
– 6 new blog posts that you may find interesting have been published on our Quantpedia blog in the previous month

Continue reading

Is It Good to Be Bad? – The Quest for Understanding Sin vs. ESG Investing

2.November 2023

What are our expectations from the ESG theme on the portfolio management level? The question is whether ESG investing also offers some kind of “alternative alpha”, or outperformance against the traditional benchmarks. There are managers and academics who are enthusiastic and hope for the outperformance of the good ESG stocks. However, the academic research community is really split. Some academic papers show positive alpha for “Saints” (good ESG stocks); others show significantly positive alpha for “Sinners” (bad ESG stocks). So, how it’s in reality? Is it “Good to be Bad”? Or the other way around?

Continue reading

Subscribe for Newsletter

Be first to know, when we publish new content


    logo
    The Encyclopedia of Quantitative Trading Strategies

    Log in