Assessing Project Risk

Details

Serval ID
serval:BIB_0C0B3AD2C668
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Assessing Project Risk
Journal
Journal of Applied Corporate Finance
Author(s)
Bernardo  A., Chowdhry  B., Goyal  A.
ISSN
1078-1196
Publication state
Published
Issued date
09/2012
Peer-reviewed
Oui
Volume
24
Number
3
Pages
94-100
Language
english
Abstract
Finding the appropriate discount rate, or cost of capital, for evaluating investment projects requires an accurate estimate of project risk. This can be challenging because project risk cannot be estimated directly using the CAPM, but must instead be inferred from a set of traded securities, typically the equity betas of comparable firms in the same industry. These equity betas are then unlevered to undo the effect of comparable companies' financial leverage and obtain estimates of "asset" betas, which are then used to estimate project risk.
The authors show that asset betas estimated in this way are likely to overestimate project risk. The equity returns of companies are risky not only because of their existing projects but also because of their growth opportunities. Such growth opportunities often include embedded "real options," such as the option to delay, expand, or abandon a project. Because such real options are similar to leveraged positions in the underlying project, a company's growth opportunities are typically riskier than its existing projects. Therefore, to properly assess project risk, analysts must also unlever the asset betas derived from comparable company stock returns for the leverage contributed by their growth options.
The authors derive a simple method for unlevering asset betas for growth options leverage in order to properly assess project risk. They then show that standard methods for assessing project risk significantly overestimate project costs of capital-by as much as 2-3% in industries such as healthcare, pharmaceuticals, communications, medical equipment, and entertainment. Their method should also be applied to stock return volatility to derive project volatility, an important input for determining the value of a firm's growth opportunities and the appropriate time for investing in these opportunities.
Create date
15/03/2014 17:17
Last modification date
21/08/2019 5:12
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