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.

Don Tunnell

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.

Don Tunnell, Co-Director, Quantitative Investment Group
Targeted factor weightings for different stocks
We have found that stocks with a high degree of valuation uncertainty are more sensitive to investor sentiment and quality metrics, while stocks with a low degree of valuation uncertainty are more sensitive to valuation ratios and discounted cash-flow models. Our dynamic factor-weighting model assigns different factor weights to different groups of stocks, depending on their profile. The model also takes into account the evolution of a stock’s attributes over time. For example, as a stock moves from early growth to maturity or through market environments (from low to high uncertainty), we adjust factor weights accordingly. We believe this approach diversifies our factor exposure, improves our alpha models, and has the potential to reduce drawdown risk.
New alpha signals through interdisciplinary research

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 inputQIG analysis
MacroTop-down factors
  • Value timing
  • Industry timing
Global industry analystsBottom-up signals
  • Industry specific
  • Valuation metrics
Multi-assetTop-down factors
  • Sentiment indicators
  • Country timing
Equity portfolio teamsBottom-up signals
  • Dynamic factor weighting
A predictive and responsive risk model
Our model assigns risk attributes to each stock and predicts how combinations of stocks may contribute to overall portfolio risk. But our model also goes several steps further, seeking:
  • 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).

Proprietary portfolio construction tools

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.

Technical equity strategies

We analyze stock price trends and shifting supply-and-demand dynamics in the financial markets.

EXPLORE RELATED INSIGHTS

Monthly Market Snapshot: August 2020
A monthly update on equity, fixed income, currency, and commodity markets.
September 2020
Monthly Market Snapshot: August 2020
,
Sharpening our edge: Investing with data science
In the first part of our new iSci stories series, we explore how data science is increasingly providing our investors with differentiated insights and discuss the value of robust collaboration between our investors and data scientists.
September 2020
Sharpening our edge: Investing with data science
,
Managing risk in an unconstrained fixed income strategy
Learn why we believe the integration of risk management throughout the investment process and the use of multiple lenses are crucial for approaches that span multiple styles, regions, asset types, and credit tiers.
September 2020
Managing risk in an unconstrained fixed income strategy
,
Expanding the liability-hedging tool kit: A securitized solution?
Concerned about concentration risk, liquidity issues, and other factors that can affect long corporate bond allocations, derisking pension plans are seeking opportunities to diversify their liability-hedging allocations. In this paper, members of our LDI Team share their research on securitized assets as a potential alternative.
September 2020
Expanding the liability-hedging tool kit: A securitized solution?
,
Setting ROAs for 2021: A guide for US public and corporate plans
How are pension plans adjusting their ROA assumptions? How do those assumptions line up with our long-term capital market assumptions? Find out in this annual update.
September 2020
Setting ROAs for 2021: A guide for US public and corporate plans
,
Credit dispersion continues: Q&A
Portfolio Manager Ryan Valente offers his insights on today's dispersion-driven credit opportunities, changes since the COVID-19 pandemic, and the value of managing alternatives credit at Wellington.
September 2020
Credit dispersion continues: Q&A
,
Redefining “value” for a modern economy
Value stocks are cheap and growth stocks are expensive. End of story, right? Our Fundamental Factor Team argues that the traditional tools for measuring value are out of date and offers a more nuanced view.
September 2020
Redefining "value" for a modern economy
,
Opportunistic investing: 20 years, 8 lessons
Multi-Asset Portfolio Manager Brian Garvey humbly reflects on 20 years of opportunistic and thematic investing.
September 2020
Opportunistic investing: 20 years, 8 lessons
,