The Risk-Adjusted Discount Rate (RADR)-method is one of the most popular procedures used in the managerial context to incorporate downside risk into capital budgeting modelling. The RADR-method consists of discounting the project stream of future inflows at the Risk-Adjusted Discount Rate (RADR), a rate that is usually higher than the firm's corporate cost of capital. We show that the Modified Duration, a volatility measure used in the fixed income market, that summarizes in a single number the bi-dimensional information about the inflows and terms in which they are charged, gives a primary key in the NPV reduction. An alternative method used in academia is the Expected net Present Value (EPV) method. Through decision-makers’ assessments on the potential losses and their probability of occurrence, we identify the proper RADR that leads the same NPV risk-adjustments, whichever method is used. Our results are useful to provide decision-makers a better awareness as to how to select the proper RADR by reducing the subjectivity and increasing financial precision based on Modified Duration, thus providing an alternative to the norm.
One-size Risk-Adjusted Discount Rate does not fit all risky projects
Tibiletti, Luisa
First
Membro del Collaboration Group
2022-01-01
Abstract
The Risk-Adjusted Discount Rate (RADR)-method is one of the most popular procedures used in the managerial context to incorporate downside risk into capital budgeting modelling. The RADR-method consists of discounting the project stream of future inflows at the Risk-Adjusted Discount Rate (RADR), a rate that is usually higher than the firm's corporate cost of capital. We show that the Modified Duration, a volatility measure used in the fixed income market, that summarizes in a single number the bi-dimensional information about the inflows and terms in which they are charged, gives a primary key in the NPV reduction. An alternative method used in academia is the Expected net Present Value (EPV) method. Through decision-makers’ assessments on the potential losses and their probability of occurrence, we identify the proper RADR that leads the same NPV risk-adjustments, whichever method is used. Our results are useful to provide decision-makers a better awareness as to how to select the proper RADR by reducing the subjectivity and increasing financial precision based on Modified Duration, thus providing an alternative to the norm.| File | Dimensione | Formato | |
|---|---|---|---|
|
JRF 2022 TIBILETTI-1.pdf
Accesso aperto
Tipo di file:
POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione
210.02 kB
Formato
Adobe PDF
|
210.02 kB | Adobe PDF | Visualizza/Apri |
|
10-1108_JRF-03-2021-0035.pdf
Accesso riservato
Tipo di file:
PDF EDITORIALE
Dimensione
144.82 kB
Formato
Adobe PDF
|
144.82 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



