UBS Asset Management makes senior appointment in US real estate team

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UBS Asset Management, Real Estate & Private Markets (REPM) has appointed Kurt Edwards as Head of US Real Estate Research & Strategy, enhancing its analytics and investment decision-making capacity.

Edwards will be responsible for expanding the use of advanced analytics, drawing from a wide range of experts across the UBS global network and providing tools to enhance investment decision-making. He and his team will also work closely with Portfolio Management, Asset Management, Valuations, and Transactions to utilise UBS REPM’s proprietary information to improve investment returns.
 
Having previously worked as Head of Investment Analytics, Edwards built a team of quantitative researchers who will continue to enhance proprietary analytics. His expertise in quantitative methods in combination with his experience of assessing the open-end real estate fund market will underpin his team’s focus on increasing alpha from allocation decisions and market intelligence. In this expanded role, Kurt will continue to direct initiatives related to investment analytics and build his team, which has both advanced analytics skills and macro-research experience. 
 
As part of the UBS REPM Research & Strategy team from 2012 until 2019, he supported portfolio management strategy, had oversight of portfolio attribution, and led the development of the firm’s first machine learning model.
 
Edwards was also a member of the NCREIF PREA Reporting Standards Council from 2015 to 2018, where he led the Financial Risk Task Force, and is an active member of the National Council of Real Estate Investment Fiduciaries (NCREIF).
 
Matt Johnson, Head of Real Estate US, says: “The best way of optimising investment returns is by utilising data-driven insight and Kurt’s background and expertise developing UBS’s proprietary analytical methodology makes him the ideal person to drive impact in this area. His appointment reflects our strong commitment to developing the next generation of data-driven investing.”

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