Wouter Thierie
Université libre de Bruxelles
5 Papers
10 Citations
Wouter Thierie is an academic researcher from Université libre de Bruxelles. The author has contributed to research in topics: Loan & Project finance. The author has an hindex of 3, co-authored 5 publications. Previous affiliations of Wouter Thierie include Vrije Universiteit Brussel.
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Papers
Loan tenor in project finance
Wouter Thierie,Lieven De Moor +1 more
TL;DR: In this article, the authors developed a regression analysis of the loan's maturity on four categories: characteristics of the project, political risk of the country where the project is executed, the macroeconomic setting and the regulatory framework.
Constraints related to developing small-scale PPPs and how to reduce them
Wouter Thierie,Lieven De Moor +1 more
TL;DR: In this article, the authors provide a general review of the characteristics of small-scale public-private partnership (PPP) and identify overarching concerns, including transaction costs, minimum size requirement and increasing popularity and recommendations for further development.
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The impact of regional trade agreements on European exports
TL;DR: In this paper, the impact of European regional trade agreements on European export patterns was studied. And the authors found that only the extensive margin is positively affected by trade agreements, while the impact on total exports and on the intensive margin is insignificant.
5
The characteristics of infrastructure as an investment class
Wouter Thierie,Lieven De Moor +1 more
TL;DR: This article reviewed the characteristics of infrastructure as an investment class and found that there is a wide heterogeneity in risk-return characteristics across sectors, regions, and stage of development, creating an uncertainty that explains why the flow of funds from institutional investors toward infrastructure does not reach its full potential.
Determinants of bank loan spread in project finance
Wouter Thierie,Lieven De Moor +1 more
TL;DR: In this paper, the authors developed a regression analysis of the loan's spread on four categories: project, loan, bank characteristics and the economic environment by using a new data set of InfraDeals containing data on bank spreads of more than 700 infrastructure projects worldwide from 2006 to 2016.