Arbeitspapier
Uncertainty in firm valuation and a cross-sectional misvaluation measure
In all investment decisions it is important to determine the degree of uncertainty associated with the valuation of a company. We propose an original and robust methodology to company valuation which replaces the traditional point estimate of the conventional Discounted Cash Flow (DCF) with a probability distribution of fair values. It hinges on two main ingredients: an econometric model for the company revenues and a set of firm-specific balance sheet relations that are estimated using historical data. The effectiveness and scope of our methodology are explored through a series of statistical exercises on publicly traded U.S. companies. We show that an uncertainty-adjusted indicator of mispricing, derived from the fair value distribution, is capable of predicting future abnormal returns. Then, we construct a new long-short valuation factor and we test that it is not redundant for describing average returns when used to augment traditional market factor models.
- Language
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Englisch
- Bibliographic citation
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Series: LEM Working Paper Series ; No. 2020/15
- Classification
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Wirtschaft
Portfolio Choice; Investment Decisions
Financial Forecasting and Simulation
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
- Subject
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Stochastic Discounted Cash Flow
Valuation Uncertainty
Valuation Factor
Kalman Filter
- Event
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Geistige Schöpfung
- (who)
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Bottazzi, Giulio
Cordoni, Francesco
Livieri, Giulia
Marmi, Stefano
- Event
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Veröffentlichung
- (who)
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Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)
- (where)
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Pisa
- (when)
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2020
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Bottazzi, Giulio
- Cordoni, Francesco
- Livieri, Giulia
- Marmi, Stefano
- Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)
Time of origin
- 2020