Abstract
Social impact bonds (SIBs) are financial assets whose objective is to attract investors to fund social programs by providing them an incentive if the project meets its predefined targets. This article aimed at proposing a reflection about the development of a pricing method for this kind of financial assets in an uncertain environment. After having defined SIBs and presenting their intrinsic uncertainty in the first section, I will present, in the second one, an existing SIB (called Peterborough SIB) in financial terms. Afterwards, the last section offered an introductory perspective on the potential development of a Wang transformation based pricing method applied to this Peterborough SIB. By using this statistical operator as a statistical technique for converting objective probabilities (past observations) into subjective estimates of these probabilities, this paper investigates a specific way of integrating the uncertainty in related the valuation of SIBs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
