Parcl: A New Frontier for Real Estate Markets

Real Estate Investing Tradeoffs

The total value of global real estate is estimated at roughly $380T making it the most valuable asset class by a few multiples in comparison to equities at $101T and debt securities at $130T. With this in mind, and considering many long-term homeowners have only seen home prices increase over their lifetimes, it’s no surprise that real estate is often touted as a surefire investment. However, factors such as interest rates, property taxes, maintenance, managing tenants, among many others present challenges to those wanting to build and manage a real estate portfolio. On the other hand, real estate investment trusts (REITs) offer a means for investors to gain exposure to broader real estate income and price appreciation with reduced individual risk while also generally being quite liquid. Although, the aggregated nature of REITs introduces its own risks (e.g. underperformance of particular market sectors) and REITs have limitations in terms of investment specificity. Another option is to trade or hedge risk via the Case Shiller index futures, but these markets are incredibly thin with few participants, likely due to their limited geographic coverage, aggregate nature, and peculiarities of the dataset. Despite limited advancements in real estate market trading, simplified access to housing data and pricing estimates via apps like Zillow have put tons of data in consumers and investors hands. Parcl Labs has taken this a step further via the development of highly granularized real estate price feeds across multiple markets and property types. Their work serves as a pathway to greater access to real estate data, while at the same time setting the foundations for an entirely new marketplace. By combining these newly differentiated price feeds with decentralized perpetuals, the Parcl DEX introduces net-new markets to the real estate industry while at the same time bringing a unique and differentiated use case on-chain.

Breathing Life into Real Estate Data

For several decades, the Case Shiller indices have been used to track overall home price appreciation in the US, yet they have several limitations. First, only single-family homes with repeat sales are included in the dataset which means that new construction, condos, apartments, and other dwelling types are entirely ignored. Second, the indices may not represent the present state of the market as they are published once per month with a 2-month time lag. Lastly, only the top 20 US metros are even included in the indices. In contrast, the Parcl Labs Price Feed (PLPF) has been designed to track daily price changes in residential real estate across a multitude of US markets, including various dwelling types, using price per square foot as a baseline metric. Additionally, the Labs team has recently introduced a rental price feed for US rental markets, while also gradually expanding their foreign offerings with feeds for cities such as Dubai, Paris, and London. By providing a simple to understand and easily comparable dataset across a much wider variety of properties, Parcl Labs has expanded the means to analyze real estate pricing and opened the door to new trading possibilities.

Net-New Real Estate Markets

Built on Solana and based upon the Parcl Labs Price Feeds, the Parcl DEX is a perpetual futures exchange for synthetic real estate markets. The Parcl development team uses Pyth oracles in order to bring the relevant Labs’ price feed data on-chain. Currently the protocol supports a single exchange with a single, unified LP pool for all markets with USDC as collateral. At present, the exchange supports 18 markets - 15 residential markets (top US cities and an aggregate USA market) along with 3 rental markets. Outside the US, the exchange is preparing for the launch of foreign markets alongside related forex markets (e.g. Paris and EUR, London and GBP). Users have the ability to provide liquidity to the LP pool and earn fees as market maker or to go long or short on the available markets with up to 50x leverage. 

Similar to other perp exchanges, risk is managed via dynamic funding rates, margin requirements, and price impact which incentivize traders to reduce market skew relative to the index prices. As of today, 80% of trading fees are paid to incentivize LPs and the remaining 20% is captured by the protocol. When we consider existing products like Synthetix or GMX, building an on-chain synthetics or perp futures exchange is not novel in itself. However, the marrying of diverse and discrete real estate markets with the synthetic perp DEX design introduces a net-new derivatives market to the real estate industry. While many of the existing residential markets offered (e.g. NYC, Boston, Chicago) can be traded via Case-Shiller futures contracts, the ongoing addition of new cities including popular foreign hubs as well as the introduction of rental markets are entirely net-new derivatives offerings for the industry. And despite a positive narrative for real-world asset (RWA) protocols in recent years, many RWA efforts have explored the same themes: equities, commodities, and treasury bills. While we do not feel that Parcl fits the RWA bill, certain efforts within the category can be easily compared to Parcl. For example, there have been many attempts to bring home-buying and selling on-chain or to simplify real estate investment via fractionalized investing. However, these types of products are ultimately replacements for existing industry activity and by themselves are unlikely to fundamentally grow the pie. In contrast, the new and diversified futures markets offered on the Parcl DEX could lead to an overall expansion of real estate market activity by providing net-new markets and allowing for novel real estate hedging strategies.