In investment appraisal, uncertainty can be managed through intervals or fuzzy numbers because the arithmetical properties and the extension principle are well established and can be successfully applied in a rigorous way. We apply interval and fuzzy numbers to the Average Internal Rate of Return (AIRR), recently introduced for overcoming the problems of the traditional Internal Rate of Return (IRR). In the setting of interval and fuzzy arithmetic, we establish relations between the interim capitals invested, the profits and the cash flows, which are the ingredients of the AIRR and shed lights on the different ways uncertainty propagates depending on which variable is known and which one is derived. The relations between fuzzy AIRR and fuzzy Net Present Value are also investigated.
Interval and fuzzy Average Internal Rate of Return for investment appraisal / Guerra, M. L.; Magni, Carlo Alberto; Stefanini, L.. - In: FUZZY SETS AND SYSTEMS. - ISSN 0165-0114. - STAMPA. - 257:(2014), pp. 217-241. [10.1016/j.fss.2014.07.013]
Interval and fuzzy Average Internal Rate of Return for investment appraisal
MAGNI, Carlo Alberto;
2014
Abstract
In investment appraisal, uncertainty can be managed through intervals or fuzzy numbers because the arithmetical properties and the extension principle are well established and can be successfully applied in a rigorous way. We apply interval and fuzzy numbers to the Average Internal Rate of Return (AIRR), recently introduced for overcoming the problems of the traditional Internal Rate of Return (IRR). In the setting of interval and fuzzy arithmetic, we establish relations between the interim capitals invested, the profits and the cash flows, which are the ingredients of the AIRR and shed lights on the different ways uncertainty propagates depending on which variable is known and which one is derived. The relations between fuzzy AIRR and fuzzy Net Present Value are also investigated.File | Dimensione | Formato | |
---|---|---|---|
FSS 2014 Fuzzy AIRR.pdf
Accesso riservato
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
651.05 kB
Formato
Adobe PDF
|
651.05 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris