Webinar

Consultant Briefing: Bloomberg Multi-Asset Risk Model for Asset Owners and Asset Managers

The Bloomberg MAC3 GRM suite of Multi-Asset risk models incorporates a number of advanced techniques that result in superior performance across portfolio types, geographies and investment styles. Drawing on deep expertise and novel research, the MAC3 GRM Model produces accurate risk forecasts to satisfy its risk management responsibilities, while also providing a reliable tool for advanced portfolio construction techniques, including optimization.

Join this webinar to hear from the Head of Research for our risk models and understand what sets MAC3 GRM apart to other market risk models.

Speakers

Jose Menchero

Head of Portfolio Analytics Research

Bloomberg

Jose Menchero serves as Head of Portfolio Analytics Research at Bloomberg. Jose and his team are responsible for developing the analytics and algorithms used for factor risk models, portfolio risk and return attribution, scenario analysis, tail risk, portfolio construction, and portfolio optimization.

Prior to joining Bloomberg, Jose was the founder and CEO of Menchero Portfolio Analytics Consulting. Before founding his consulting firm, Jose worked for eight years at MSCI, where he was Managing Director responsible for developing the Barra equity risk models, and for portfolio construction research. Jose also served for seven years as Director of Research at Thomson Financial, where he developed several risk and return attribution methodologies, as well as equity factor risk models.

Jose has over 30 finance publications in leading practitioner journals. Before entering finance, Jose was Professor of Physics at the University of Rio de Janeiro in Brazil. Jose holds a PhD in theoretical physics from the University of California at Berkeley, and a BS degree in aerospace engineering from the University of Colorado at Boulder. Jose is a CFA Charterholder.

Yingjin Gan

Head of Fixed Income Portfolio Research

Bloomberg

Yingjin Gan heads up the fixed income portfolio risk and analytics research group at Bloomberg. She leads the research effort on developing fixed income risk models and performance attribution models. She also plays an important role in model implementation, quality control, and model publications. She joined the team in December 2008. Prior to Bloomberg, Yingjin worked at Lehman Brothers’ Fixed Income Research Department since 2005. Her role was to develop the performance attribution capabilities of Lehman’s portfolio management platform (POINT), and market the platform to asset managers, hedge funds and insurance companies. Yingjin graduated from the Wharton school, University of Pennsylvania with a Ph.D in Applied Economics in 2005.

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