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Wolfe Risk Models Now on Marquee

Next-generation style factors paired with industry-leading analytics
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Simplified access to risk management expertise
Goldman Sachs and Wolfe Research are now integrating their risk expertise and factor data, available to institutional investors programmatically or on Marquee’s intuitive web interface
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Next-generation style factors
Wolfe’s suite of risk models are designed to be intuitive and relevant for investment professionals managing their portfolio risk in real time. Some of the models’ distinct characteristics include:
  • Next-generation style factors—alongside conventional factors—improve the explanatory power of the models and measure systematic risks that are intuitive to managers
  • Wolfe uses enhanced stock exposures to reflect statistical correlations to factors, rather than relying solely upon cross-sectional rankings of stocks
  • Expanded model coverage of over 45,000 stocks globally helps to eliminate the need for a broad model to cover a small allocation outside the target mandate
Data Risk Analytics derivative Pricing Risk intuitive Interface2x
Data Risk Analytics hedging Tools factor Hedging2x
Data Risk Analytics hedging Tools factor Hedging2x
Timeliness and precision
Wolfe’s QES team leverages a comprehensive factor library, proprietary risk model engine, and expertise in portfolio construction and risk management to deliver innovation in risk model design, including:
  • Sector risk models to help specialists identify more systematic risk than is visible with a broad market risk model
  • Holdings-based factor covariances to predict correlations between today’s factor portfolios, instead of using historical compositions
  • Factor returns that match the factor portfolios reported before the market open, instead of re-estimating after the close
  • Separate multi-factor models—both statistical and fundamental—for initial idiosyncratic risk estimates that are inputs to the risk model
Data Risk Analytics hedging Tools performance Hedging2x
Wolfe Research and Goldman Sachs Marquee
Combining expertise in risk analytics and factor models to power your investment decision-marketing workflow
  • Analyze and share portfolios, understand sources of risk through the lens of Wolfe’s risk models, and control risk exposure with custom hedges
  • Run powerful time series visualization analysis of a portfolio’s factor performance and risk
  • Get scalable, programmatic access to all the raw factor model data
Data Risk Analytics hedging Tools performance Hedging2x
Wolfe's factor models, Goldman Sachs' risk analytics
Access Wolfe’s factor models via Goldman Sachs’ flexible portfolio analytics ecosystem—programmatically or via Marquee’s user interface
Manage Risk Programmatically
GS Quant, our open-source Python toolkit designed to rapidly and seamlessly integrate data, provides a programmatic environment to access Wolfe’s risk factor models in a scalable manner.
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Time Series Visualization
PlotTool Pro, one of the most popular tools on the Goldman Sachs trading floor, offers powerful time series visualization and analysis of a portfolio’s factor performance and risk.
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Analyze Portfolio Risk
Marquee’s Portfolio Analytics offers a highly intuitive web interface to upload, analyze and share portfolios, understand sources of risk through the lens of Wolfe’s factor risk models, and control risk exposure with custom hedges.
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About Wolfe Research
Wolfe Research, LLC is a premier independent sell-side research firm with a commitment to best-in-class content. Wolfe's QES team has been top-ranked in Quantitative Research, Portfolio Strategy, Economics, Accounting & Tax Policy, and ESG categories for over a decade. The team leverages their 300+ risk factor library, an in-house risk model engine, and expertise in portfolio construction to deliver innovations in risk model design.
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Interested in learning more?
Our team is available for questions, demos, and to provide Marquee access
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