Quantpedia Highlights in September 2021
Hello all,
As we have promised, the new report related to clustering methods is now available for Quantpedia Pro clients. It allows to analyze the clustering of the custom model portfolio and observe clusters based on Partitioning Around Medoids (PAM), Hierarchical Clustering, and Gaussian Mixture Model. Complete methodology for all three methods is available in the following article and its 2nd and 3rd continuation.
You can review clusters for various periods (actual 12-months period and the longest available period).
Additionally, you can compare how many clusters are identified in your model portfolio by all three clustering methods. Plus, you can investigate which assets belonged to which cluster over time (in all three methods).
In the end, you can review three Cluster Risk Parity Trading strategies and compare their performance to the naive Risk Parity benchmark. Three Cluster Risk Parity strategies create optimal clusters and then weigh the assets inside the cluster and the clusters between themselves proportionately to the inverse of their volatility, i.e. according to Naïve risk parity. The optimal number of clusters is determined using the silhouette method and portfolio is rebalanced on a monthly basis.
Let’s also quickly recapitulate Quantpedia Premium development:
Additionally, apart from our series or articles related to clustering methods, 5 new articles were published on the Quantpedia blog in the previous month.
Asset Pricing Models in China
Authors: Matthias X. Hanauer, Maarten Jansen, Laurens Swinkels and Weili Zhou
Title: Factor models for Chinese A-shares
Community Alpha of QuantConnect – Part 3: Adjusted Social Trading Factor Strategies
Author: Matus Padysak
Title: Community Alpha of QuantConnect – Part 3: Adjusted Social Trading Factor Strategies
Does Gambling Influence Stock Markets Around the World?
Authors: Alok Kumar, Huong Nguyen, and Talis J. Putnins
Title: Only Gamble in Town: Market Gambling Around the World and Market Efficiency
How to Use Lexical Density of Company Filings
Authors: Hanicova, Kalus, Vojtko
Title: How to Use Lexical Density of Company Filings
A New Return Asymmetry Investment Factor in Commodity Futures
Authors: Durian, Padysak
Title: A New Return Asymmetry Investment Factor in Commodity Futures
Stay safe …
Radovan Vojtko
CEO & Head of Research
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