title: Allocating risk capital for a brownfields redevelopment project under hydrogeological and financial uncertainty.
abstract: In this study, we defined risk capital as the contingency fee or insurance premium that a brownfields redeveloper needs to set aside from the sale of each house in case they need to repurchase it at a later date because the indoor air has been detrimentally affected by subsurface contamination. The likelihood that indoor air concentrations will exceed a regulatory level subject to subsurface heterogeneity and source zone location uncertainty is simulated by a physics-based hydrogeological model using Monte Carlo realizations, yielding the probability of failure. The cost of failure is the future value of the house indexed to the stochastic US National Housing index. The risk capital is essentially the probability of failure times the cost of failure with a surcharge to compensate the developer against hydrogeological and financial uncertainty, with the surcharge acting as safety loading reflecting the developers' level of risk aversion. We review five methodologies taken from the actuarial and financial literature to price the risk capital for a highly stylized brownfield redevelopment project, with each method specifically adapted to accommodate our notion of the probability of failure. The objective of this paper is to develop an actuarially consistent approach for combining the hydrogeological and financial uncertainty into a contingency fee that the brownfields developer should reserve (i.e. the risk capital) in order to hedge their risk exposure during the project. Results indicate that the price of the risk capital is much more sensitive to hydrogeological rather than financial uncertainty. We use the Capital Asset Pricing Model to estimate the risk-adjusted discount rate to depreciate all costs to present value for the brownfield redevelopment project. A key outcome of this work is that the presentation of our risk capital valuation methodology is sufficiently generalized for application to a wide variety of engineering projects.
authors.affiliation: Division of Computational Sciences in Mathematics, National Institute for Mathematical Sciences, KT Daeduk 2 Research Center 463-1, Jemin-dong, Yuseong-gu, Daejeon 305-390, Republic of Korea. s7yu@nims.re.kr
authors.forename: Soonyoung
authors.initials: S
authors.lastname: Yu
authors.forename: Andre J A
authors.initials: AJ
authors.lastname: Unger
authors.forename: Beth
authors.initials: B
authors.lastname: Parker
authors.forename: Taehee
authors.initials: T
authors.lastname: Kim
mesh_terms: D004784:Environmental Monitoring / Q000191:economics; D008962:Models, Theoretical; D018570:Risk Assessment; D035501:Uncertainty