Professional hedge fund investing always implies forecasting. A good hedge fund portfolio manager is one who is capable of providing the most accurate forecasting over longer time horizon. The forecasting may involve changes of economic environments or underlying funds’ performance or anticipated manager style drift. Whatever future changes are taken into consideration, the Quant distribution adjustment module offers a solid ground for heuristic modeling. You can easily adjust distributions of assets returns and even manually define distributions matching the given risk/return profiles.

Taking portfolio diversification to a new level, Quant offers an advanced portfolio sensitivity analysis. This technique allows us to examine the effects of return fluctuations of the underlying assets, thus identifying the significant components of the portfolio.

A sensitivity simulation may be extended to the more sophisticated examination of effects of substituting input distributions. For example, if replacing some weak empirical distributions by the stronger theoretical ones results in significant enhancement of portfolio properties, we may search the hedge fund universe for funds exhibiting the closest approximation to the preferred analytic distributions.

Our proprietary Trend Segmentation™ technique applied to the portfolio composition process significantly enhances a portfolio risk/return profile providing the following advantages:

• Higher returns on assets, while remaining within a low risk range
• Instant identification of portfolio bottlenecks under various macro scenarios
• An instant FoF real performance that is close to its simulated performance based on the past results
• Constructing true market-neutral portfolios exhibiting sustained performance over diverse market cycles.