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Portfolio Optimization

Build a portfolio resilient to today’s factor-driven markets with Alpha Theory + Omega Point

Omega Point research shows that since 2020, market-related “factors” have had an outsized influence on price movement and portfolio volatility.

The color of each column represents the number of days in a year classified across five quintiles of factor driven vs. idio driven environments. To measure each day, a market neutral portfolio is created that is long the top decile of best performers and short the bottom decile of performers in the Russell 1000 index. Each day, performance is decomposed through the lens of various risk models to identify quintiles that best categorize the spectrum of the most “Alpha-Driven” days to the most “Factor-Driven” days. To calibrate our classification, we took the total sample of all days since Jan 1, 2007, and ranked them by Alpha Contribution to return percentage. Source: AlphaTheory, Omega Point

As such, LPs have requested and managers have responded by increasing their usage of risk models to remove unwanted risk and isolate their alpha.

Unifying fundamental research and risk modeling, however, can be a daunting task. That's why Alpha Theory has partnered with Omega Point to deliver an integrated solution that sizes positions using a hybrid fundamental and risk optimization model.

To learn more and to read the full article, please click this link which will direct you to Omega Point's website.

Portfolio Optimization
Risk Management