Real Crowd Podcast

Matt Larriva - Migration Trends And A New Way To Forecast Cap Rates


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Matt Larriva is Vice President for Research and Data Analytics at FCP where he leverages data science and quantitative methods to enhance asset selection, management, and disposition across real estate investments. His active research focuses on multivariate timeseries analysis as it applies to cap rate forecasting (Vector Error Correction Methods as models of US Real Estate Markets (working)), and random forest methods as they apply to submarket rent-growth in unstructured data (Semi-Greedy Construction of Oblique-Split Decision Trees (2019)). His work on domestic net migration has been featured in Bloomberg News and Fox Business News.

Prior to joining FCP, Matt worked at Green Street Advisors as the head of the US and UK Quant teams, managing the data efforts in the sell-side real estate research firm. While at Green Street, he focused on REIT trading strategies, data productization, and analytic enhancements. Matt completed his undergraduate degree in economics at the Wharton School of the University of Pennsylvania. He holds a Masters in applied statistics from UCLA and is a CFA charter holder.

FCP is a privately-held real estate investment company based in Chevy Chase, MD currently investing a $755 million comingled fund focused in the Mid-Atlantic, the Southeast US, and Texas. Since its inception in 1999, FCP has invested in or financed more than $8.3 billion in assets and currently owns and manages four funds totaling $3.6 billion in assets.

Links

To learn more about FCP and the researching Matt is doing head to: https://www.fcpdc.com/

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