Quantifying political risks in infrastructure projects
Quantifying qualitative information on risks (QQIR) in structured finance transactions
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How to quantify risks in the absence of historical data or time series? This book develops a methodology to quantify expert opinion on risk factors which have significant impact on cash flow projections in life-cycle infrastructure projects. It applies fuzzy set theory, stochastic simulation, and robust statistics to formalize the "QQIR-Method", which bridges the gap between qualitative and quantitative risk assessment methods. The QQIR-Method is then applied to political risks in infrastructure projects in Asia. The book contains a number of case studies and survey interviews with tier-1 mark...
How to quantify risks in the absence of historical data or time series? This book develops a methodology to quantify expert opinion on risk factors which have significant impact on cash flow projections in life-cycle infrastructure projects. It applies fuzzy set theory, stochastic simulation, and robust statistics to formalize the "QQIR-Method", which bridges the gap between qualitative and quantitative risk assessment methods. The QQIR-Method is then applied to political risks in infrastructure projects in Asia. The book contains a number of case studies and survey interviews with tier-1 market participants. It also provides an easy to use practical guide to apply and replicate the QQIR-Method in ones own professional field.
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