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ReAlpha, an innovator in utilizing primary structured and unstructured ancillary and derivative data to manufacture “alpha” in making real estate investment decisions, was featured in a recent Bloomberg article titled, “Investors Chasing Housing Target Massive Pools of Airbnb Rentals.” The piece discusses a hot new trend investors are tapping into as they hunt for returns in the frenzied U.S. real estate market. This involves building massive portfolios of houses to rent out on Airbnb. “A recent filing reveals that Dublin, Ohio-based ReAlpha is seeking to spend as much as $1.5 billion, including debt, to buy short-term rentals at an unprecedented scale. The money would be enough to purchase roughly 5,000 homes, Chief Executive Officer Giri Devanur said in an interview,” the article reads. “Growing appetite for short-term rentals will attract tens of billions of dollars in the years to come, said Sean Breuner, whose company, AvantStay, manages branded properties that offer concierge services. It also operates a brokerage to help investors find real estate. ‘It is the last remaining asset class with any yield remaining,’ said Breuner. ‘We believe there is a huge opportunity to institutionalize.’”
To view the full article, visit https://ibn.fm/iTnS5
ReAlpha uses primary structured real estate data and layers in numerous sources of unstructured ancillary and derivative data to manufacture “alpha” in making real estate investment decisions. Urban residential markets are incredibly opaque, and transactions are consummated on direct negotiations with imperfect and asymmetric information. ReAlpha uses machine learning and its proprietary algorithm to identify mispriced units, generate recommended buy/sell points, and create portfolios optimized for return while reducing expected volatility. For more information about the company, visit www.ReAlpha.ai.
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