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Introducing Hierarchical Risk Parity (HRP) Portfolio Optimizer

DS
Dmitry Shevchenko26 октября 23 г. | 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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BP
Bob Peticolas12 декабря 23 г.
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?
DS
Dmitry Shevchenko13 декабря 23 г.
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.
BP
Bob Peticolas14 декабря 23 г.
Thank you, Dmitry!
RB
Rhett Bartlett27 января 24 г.
can you add aqr market neutral? QMNNX

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platform update
new features
optimization
hrp
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