Insights

From ad hoc to world class Today infrastructure investors use ad hoc benchmarks for unlisted infrastructure investment. They know that’ snot good enough. At EDHECinfra, we are establishing an industry standard for the infrastructure asset class. And we’ve made significant process. We are establishing a framework for data collection and developing asset pricing techniques to measure the risk adjusted performance

This blog was originally published on the World Bank’s PPP Blog Website. It’s past time for proper infrastructure benchmarks The Argentinian presidency of the G20 opens this month. All the signs indicate that it will be marked by a focus on infrastructure investment. Already, the G20 and OECD have announced a wide-scale data collection initiative for the purpose of creating

In this position paper, we document the dangerous rise of the so-called listed infrastructure asset class, an ill-defined series of financial products that initially targeted retail investors and now increasingly reaches institutional investors, which now represent close to a third of the sector.

We extend the structural credit risk model of illiquid debt developed by Blanc-Brude and Hasan (2016) to incorporate the step-in option of senior creditors in project financing and model its impact on the valuation and risk profile of senior unsecured project debt.

We develop a structural credit risk model relying on cash flow data to derive credit risk metrics that is useful for illiquid assets for which a time series of prices is not observable. Our methodology is designed to require a parsimonious dataset of observable inputs.

The objectives of this paper are to document the statistical characteristics of debt service cover ratios (DSCRs) in infrastructure project finance, and to develop and calibrate a model of DSCR dynamics. Advanced stochastic modelling of infrastructure project debt has the potential to considerably improve credit risk measures.