Optimising a portfolio of funds is a different problem from optimising a portfolio of stocks. This page explains the methods institutional investors use, why hedge fund and private market allocations need more than a standard optimiser, and how the process runs in AlternativeSoft.
| Method | What it does | When it is used |
|---|---|---|
| Mean-variance | Finds the weights with the highest expected return for a given volatility | A starting point and a familiar reference for committees |
| Risk parity | Sets weights so each holding contributes equally to portfolio risk | When return forecasts are not trusted |
| Tail-risk optimisation | Minimises modified VaR or CVaR instead of volatility | Portfolios with hedge funds, where extreme losses matter most |
| Black-Litterman | Blends market-implied returns with your own views | When the committee holds explicit views on strategies |
The optimiser is not a separate tool. The same platform tracks returns, exposures and risk once the portfolio is live, so the committee can see how the portfolio it approved is behaving against the one that was modelled.
AlternativeSoft streamlines many useful performance-based analytics including portfolio optimisation, peer evaluation, and relative analyses. An intuitive platform that is additive to our processes.
A practical and user-friendly tool used as part of our portfolio construction and risk management process. Their extensive support and responsiveness provides real added value.
From statistical analysis on a single hedge fund to portfolio construction, risk analysis and stress testing - one of the most effective and intuitive tools I have handled.
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