Firstly, we would really like to thank all of the participants of our Quantpedia Awards 2024 competition—our competitors, judges, sponsors, and also you, our readers. For those of you who were not following our social media channels – here is the blog post that announces winners. The first year of the event turned out great, and we have received very positive feedback. People are asking if we plan to continue, and yes, we can promise that Quantpedia Awards will return in 2025 🙂
Secondly – a new Quantpedia Pro development – the automatic detection of equity-like assets. We use our list of factors and multi-factor analysis methodology to identify the main drivers of performance for each component of the Model Portfolio (and Benchmark) and then use this information in combination with the correlation of each component to equity proxies to find out which of the components exhibit equity-like behavior. This feature is now available in the Basic Overview report and can be used to gauge how the Model Portfolio is underweight/overweight on equity risk in comparison to its Benchmark.
And, what is the additional use case, you may ask? Well, it is the precursor to something that’s over the horizon – the performance attribution analysis. But let’s have a discussion of this topic next month 😉
And as usual, let’s also quickly recapitulate Quantpedia Premium development:
Quantpedia is The Encyclopedia of Quantitative Trading Strategies
We’ve already analysed tens of thousands of financial research papers and identified more than 700 attractive trading systems together with hundreds of related academic papers.
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