(Bloomberg) — Times are tough in private markets. High borrowing costs are hurting returns, managers are struggling to exit investments, and regulators are circling. All that is bringing back an issue that has long haunted these opaque holdings: No one is quite sure how to actually measure their performance.
Barry Griffiths is one of a small group of quantitative analysts giving it a try. He’s the driving force behind an alternative method for gauging unlisted investments that he says has the potential to demystify the world of private markets, from buyout funds to venture capital. The claim is it will help investors compare returns with those of other asset classes, as well as reveal the true value provided by managers in the business along the way.
That’s a controversial prospect in an industry famous for grading its own homework in terms of performance and for awarding itself generous pay based on the results. Not to mention that successfully decoding such illiquid investments is fraught with pitfalls, as anyone modeling mortgage bonds and derivatives before the financial crisis would probably testify. Yet the rewards of success could be huge: Private equity commanded $10.6 trillion in 2023 and is expected to grow to $25.1 trillion by 2033, according to estimates from Bain & Co.
“It’s not easy to understand the risks you’re taking,” says Griffiths, the former head quant at private-asset giant Ares Management. The lack of transparency is one reason systematic investors and analysts like him remain few and far between in the industry, because the data they rely on is in short supply. But as competition grows and market pressures mount, quant ideas are gaining more traction—in particular “direct alpha,” the approach devised by Griffiths and his peers.
Alpha—a measure of a portfolio manager’s returns on top of the broader market—is a familiar concept in finance. It’s become a common tool in equities, where indexes such as the S&P 500 provide an obvious benchmark for performance. A huge amount of capital shifted into low-cost, passively managed funds at the expense of human stockpickers after it became clear that few managers consistently achieve alpha. It takes far fancier statistical footwork to do anything similar in private markets, where valuations are infrequent and largely decided by the managers of funds.