Creating Confidence in Data & Valuation
HouseCanary Forges Ahead in the World of Automated Real Estate Data and Valuation By Carole VanSickle Ellis Real estate investors know all about waiting, but Jeremy Sicklick and Christopher Stroud, co-founders of valuation-focused real estate brokerage HouseCanary, really do not like to wait. That is particularly the case when it comes to waiting on information that could help determine the value of a potential property acquisition in a competitive market. “As early as 2008, when I was still working with Boston Consulting Group helping real estate investors buy large land banks and deploy capital to buy real estate during the downturn, I knew there had to be a better way to value and underwrite investments,” Sicklick, CEO of HouseCanary, recalled. He knew that data and the ability to engineer effective, accurate data science would be the key to creating this type of product, and he also knew exactly who could help him design that sort of system. By 2013, Sicklick and Christopher Stroud, present-day chief of research at HouseCanary, had founded the company and begun making waves in the world of automated real estate data and valuations. “When I met Chris [Stroud], he was a doctoral student studying economics,” Sicklick said. Stroud’s doctoral research revolved around dynamic models of financial risk and much of his research involved studying how financial market predictions might be improved using modern technology. “I assumed at the time that all industries were already highly automated and being driven in some part by engineered data science,” Stroud said. “That was not the case in real estate. It was exciting to realize there was an opportunity to use my particular skillset to make an impact on what was at the time already a $30 trillion market.” Just a few years later, the company was making headlines as one of the industry’s most interesting and successful technology and data-forward real estate brokerage startups, adding in data from Google Cloud in 2017 and establishing itself as a clear contrast to data providers like Case-Schiller, which, at that time, was using about 20 indices to estimate home pricing compared to HouseCanary’s 20,000. “What we set out to do – and what we do today – is make an automated valuation model [AVM] available to our clients that is constantly updated, benchmarked, and adjusted to reflect the hundreds of thousands of real estate transactions that happen in the industry every month,” Stroud said. “We not only are able to provide investor clients with the best information available, but we are also able to provide metrics indicating how certain we are of that AVM so that clients can factor certainty and uncertainty into their investment decisions.” Naturally, another big “selling point” for investors is the speed at which these AVMs are delivered. While certain real estate-data behemoths have been providing branded estimates of home value on demand for years, those estimates are notorious in the industry for being less than reliable. A consistently reliable, industry-agreed-upon standard like an appraisal can take weeks or months to obtain. For investors competing in hot markets or deploying large volumes of capital on tight deadlines, sometimes there simply is not time to wait. At times like these, an AVM can help bridge the gap in the decision-making process and get acquisitions and underwriting underway. “We highlight to our clients that we identify how confident we feel in a valuation as well as how accurate we believe a valuation to be,” said Sicklick. “This is one of the main reasons many industry leaders are using HouseCanary’s brokerage services and valuation tools to do everything from underwrite properties to fully value them.” He explained that many investor clients have incorporated HouseCanary into their buying process to the extent that they can now “identify a property in a few seconds, fully underwrite that property, and be in a position to make an offer in 10 minutes or less.” “That is where having trust, the right tools, and the right processes creates huge advantages,” Stroud added, noting seven of the top 10 single-family institutional buyers are using HouseCanary for “part or all” of their process. “We are constantly innovating to continue to improve speed and accuracy,” he said. Knowing When to Pull the Trigger on Investment Strategies HouseCanary prides itself on the volume, accuracy, and timeliness of its data, and one thing that both co-founders emphasize when discussing the company is how many of their investor clients use the platform not just to acquire properties but also to monitor their portfolios on an ongoing basis. “Our clients prioritize their ability to make good decisions about whether to keep capital where they have it or make alternative investment decisions,” said Sicklick. “They use our ongoing information stream to get a real-time view of what the markets are doing and identify the right time to ‘pull the trigger’ on changes in investment strategies.” Clients typically use HouseCanary’s rental evaluation tools, which help investors determine current values of rentals and what they might expect in terms of appreciation and rental rate increases in the near term. “A lot of our clients have portfolios with thousands of properties,” said Stroud. “They come back to us on a regular basis and monitor that entire portfolio by looking at comparables for rents as well as values.” At the same time, clients can receive information about new properties that have become available, evaluate those properties, and even explore their financing options using HouseCanary’s desktop underwriting system, Property Explorer. “This service provides a contextual property valuation that lets users choose their own comps and valuation methods based on their unique investment strategies,” Stroud said. The companion tool, Rental Explorer, operates in a similar manner, providing in-depth analysis and neighborhood-level market data on rental properties. These tools not only help HouseCanary clients make good decisions for their portfolios; they are influencing valuation on a broader level as well. “There have been a number of ongoing issues around racial bias in housing valuation for a long time, and Fannie
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