ForewordDiscounting is a key element of catastrophic risk management. Misperceptions of discount rates result in inadequate evaluations of risk management strategies, which in turn may provoke catastrophes and significantly contribute to increasing vulnerability of the society. Therefore applications of the traditional discounting negatively affect the outcome of catastrophic risk management. This paper analyses the implication of potential catastrophic events on the choice of discounting. It provides fundamental insights in the nature of discounting that is critically important for developing robust strategies for managing catastrophic risks.It shows that any discounting with constant or declining rates can be linked to random "stopping time" events, which define the internal discount-related horizons of evaluations. Conversely, any random stopping time horizon induces a discounting, in particular, with the standard discount rates.The expected duration of the stopping time horizon for discount rates obtained from capital markets does not exceed a few decades and, as such, these rates may significantly underestimate the net benefit of long-term decisions. The proposed alternative undiscounted stopping time criterion allows to induce social discounting focusing on arrival times of potential extreme events rather then horizons of market interests. It depends also on feasible decisions and spatio-temporal variability of catastrophic losses.ii
AbstractThe goal of this paper is to specify and summarize assumptions and proofs for new approaches to discounting proposed in our catastrophic risk management studies. The main issue is concerned with justification of investments, which may turn into benefits over long and uncertain time horizon. For example, how can we justify mitigation efforts for expected 300-year flood that can occur also next year. The discounting is supposed to impose time preferences to resolve this issue, but this view may be dramatically misleading. We show that any discounted infinite horizon sum of values can be equivalently replaced by undiscounted sum of the same values with random finite time horizon. The expected duration of this stopping time horizon for standard discount rates obtained from capital markets does not exceed a few decades and therefore such rates may significantly underestimate the net benefits of long-term decisions.The alternative undiscounted random stopping time criterion allows to induce social stopping time discounting focusing on arrival times of potential extreme events rather then horizons of market interests. In general, induced discount rates are conditional on the degree of social commitment to mitigate risk. Random extreme events affect these rates, which alter the optimal mitigation efforts that, in turn, change events. This endogeneity of the induced discounting restricts exact evaluations necessary for using traditional deterministic methods and it calls for stochastic optimisation methods. The paper provides insights in the nature of discounting that are criti...