Introducing Hierarchical Risk Parity (HRP) Portfolio Optimizer
DS
Dmitry ShevchenkoOctober 26, 23 | Posted in announcements
We are excited to announce the latest addition to our suite of portfolio optimization tools — the Hierarchical Risk Parity (HRP) Portfolio Optimizer. This new feature complements our existing range of portfolio optimizers, offering you a more diverse set of options to fine-tune your investment strategy.
Based on advanced graph theory and machine learning algorithms, the HRP approach provides a sophisticated method for asset allocation. It leverages the hierarchical clustering of assets, based on their risk characteristics, to create a portfolio that maximizes diversification. In many cases, the HRP method has been shown to produce more robust outcomes compared to traditional risk parity portfolios.
Explore this advanced tool today!
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Bob PeticolasDecember 12, 23
Can you expand a bit on this? Is this sizing by volatility parity? If so, what is the lookback period for volatility, 20 days, 100 days, or what?
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Dmitry ShevchenkoDecember 13, 23
The optimization tool offers five risk measures: volatility, Omega ratio, Sortino ratio, Ulcer index, and CVaR. Currently, the lookback period is fixed to the entire available data for a given portfolio. However, we plan to make this setting configurable, allowing users to choose their preferred period.
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Announcements
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platform update
new features
optimization
hrp
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