Quantitative equity strategies
We use innovative methods designed to detect and exploit factors that influence equity prices.
BROAD SYSTEMATIC CAPABILITIES
Our research has shown that certain factors have historically been closely associated with stock outperformance. Empirically strong and pervasive across time and geography, the alpha of these factors can be traced to a combination of behavioral inefficiencies, market structure, and risk premia. Our Quantitative Investment Group (QIG) seeks to exploit these factors, managing client assets in a variety of systematic approaches, including emerging market, low volatility, small cap, and alternative strategies.
We have an experienced, talented team of people with diverse, eclectic skills who are investors first, but then apply model-based, systematic quantitative investment tools to their insights.
Collaboration with the firm’s macro, asset allocation, derivatives, and fundamental research teams encourages innovation within QIG and helps to challenge and validate our alpha models.
By combining the analysis of top-down factors with bottom-up signals, we have created a proprietary set of nontraditional alpha factors, improving our ability to produce excess returns in a variety of market environments.
| Research input | QIG analysis |
|---|---|
| Macro | Top-down factors
|
| Global industry analysts | Bottom-up signals
|
| Multi-asset | Top-down factors
|
| Equity portfolio teams | Bottom-up signals
|
- Improved risk-prediction accuracy through the use of forward-looking risk indicators
- Faster response to changes in risk regimes
- Integration with our alpha models, allowing for efficient implementation of stock ideas
- Crowd avoidance through differentiated holdings
- Application of geographic risk factors and dynamics
We aim to distinguish intentional risks (arising from our alpha models) from unintentional risks (arising from style exposure or residual risk).
We integrate long-term return forecasts with our proprietary risk models, while also assessing the likelihood of short-term price movements. This multi-horizon alpha-modeling process seeks to ensure that each portfolio reflects an attractive combination of return potential, risk, and cost. Complete transparency in our research and portfolio management infrastructure enables this level of detail.
EXAMPLES OF WHERE WE PUT QUANT TO WORK
Less efficient market segments with large universes:
Emerging-market equities
Areas where risk management and portfolio construction may provide an edge:
Low-volatility strategies
Strategies that break the bonds of the long-only constraint in an effort to more efficiently express views on excess return potential:
Alternatives
VEHICLES
Wellington clients can invest in many of our investment approaches through separate accounts and an array of funds. For more information about investing in a separate account or US fund, please contact us. For information about our global funds, visit Wellington Management Funds.
Fundamental equity strategies
Our actively managed equity approaches span disciplines, geographies, industries, market capitalizations, and styles in order to meet our clients’ objectives.
Quantitative equity strategies
We use systematic analysis to detect and exploit factors that influence equity prices.
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