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In This List

Quantamental Research Brief: Do Markets Yearn for the Dog Days of Summer? COVID, Climate, and Consternation

Assessing ESG Profiles And Returns Against The Broader High-Yield Sector

When Sovereigns Default: Estimating Potential Loss During a Pandemic

Understanding the Impact of Climate Change on a Bank’s Loan Portfolio

COVID-19 Pandemic Likely To Cause US Telemedicine Boom


Quantamental Research Brief: Do Markets Yearn for the Dog Days of Summer? COVID, Climate, and Consternation

Highlights

Weather data, from data provider Weather Source, is combined with SNL Real Estate Property data to expose potential risks for Real Estate Investment Trusts (REITs) of prolonged closures, as well as areas that may see a resurgence of the virus later this year.

Over 36,000 REIT property locations were overlaid with Weather Source data to generate quarterly ‘temperature zone exposure’ scores for 165 REITs in the Russell 3000 index.

Empirical support for the correlation between temperature and viral spread is provided by combining Weather Source data with John Hopkin’s University’s COVID-19 database, provided by Star Schema via the Snowflake cloud computing platform.

Stakeholders are turning to untraditional data sources to quantify the impact of the COVID-19 shutdown. While no single variable can forecast which locations will be most susceptible to the virus, mounting scientific literature suggests that there is a correlation between temperature and viral propagation. If correct, regions in the temperature ‘target zone’ may need to implement more stringent lockdown policies for a longer period to achieve comparable mitigation.

Investors can combine weather data with property data, to expose one dimension of risk for Real Estate Investment Trusts (REITs) of prolonged closures, as well as areas that may see a resurgence of the virus later this year. Figure 1 exemplifies this by showing the higher concentration of properties in locations favorable to COVID-19 propagation in the portfolio of Simon Property Group compared to Weingarten Realty Properties. 

Figure 1. COVID-19 Optimal Survival Temperatures Overlaid with Property Holdings for Simon Property Group and Weingarten Realty Investors.

Note: The average hourly temperature was calculated at the Federal Information Processing Standard (FIPS) code level for each calendar quarter from 12:00am UTC January 1, 2016 – 12:00am UTC January 1, 2020.
Source: S&P Global Market Intelligence Quantamental Research. Data as of April 10, 2020.

Please access the complete list of Quantamental Research Briefs for the latest on COVID-19’s impact.

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