Everyone on Wall Street is an armchair epidemiologist these days, but a motley crew of quants is taking it to a whole new level.

Hedge fund managers, market academics and risk experts are channeling their data-mining smarts to the world of clinical sciences to model the trajectory of this once-in-a-century pandemic.

Some are doing so formally in their investing strategies, others are teaming up with non-profit organizations driven by a sense of civic duty.

There’s no telling if their methods can break new ground. But the quantitative techniques that power high-octane finance are joining the effort to make sense of the virus-induced chaos.

Take Kai Lin at Coolabah Capital.

The senior data scientist’s team at the Australian credit fund built a proprietary model mapping the infection path using a so-called linear mixed framework, a form of regression analysis also used in statistical finance.

After concluding that cases from the U.S. to Europe would largely peak this month, Coolabah duly poured about $580 million scooping up risk assets in March to catch the market rebound.

“Publicly available models were mostly, if not all, built for the purpose of informing government policies and were not suitable for the niche needs of financial market participants,” Lin wrote in an email. “Coolabah decided to build its own Covid-19 forecasting models tailored to our needs.”

Coolabah has publicly disclosed its methods and results in the hope it will help others both inside and outside the financial sphere.

They’re among systematic players dissecting reams of statistics across population studies and health economics to divine complex infection trends -- seeking meaning where even the best-known data is questioned by experts.

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