Insights

This blog was initially published in top1000funds.com. No asset is an island… Infrastructure equity prices do not exist in a vacuum. Analysing hundreds of transactions over the last 15 years, we found that they are driven by systematic risk factors, which can be found across asset classes. In other words, markets did process information rationally and average prices did reflect

New EDHECinfra research documents the factors behind the evolution of unlisted infrastructure prices over past 15 years. Common risk factors found in numerous asset classes explain the evolution of unlisted infrastructure secondary market prices. That’s the finding of a new paper drawn from the EDHECinfra /LTIIA Research Chair. Interestingly, the paper also shows that that, after a long period of

This paper drawn from the EDHECinfra /LTIIA Research Chair shows that common risk factors found in numerous asset classes explain the evolution of unlisted infrastructure secondary market prices. It also shows that after a long period of prices increases, “peak infra” may already be behind us.

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.