Uncertainty in Firm Valuation and a Cross-Sectional Misvaluation Measure

Giulio Bottazzi, Francesco Cordoni, Giulia Livieri and Stefano Marmi

LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy

Abstract: 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.

Keywords: Stochastic Discounted Cash Flow; Valuation Uncertainty; Valuation Factor; Kalman Filter. (search for similar items in EconPapers)
Date: 2020-06-01
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Related works:
Journal Article: Uncertainty in firm valuation and a cross-sectional misvaluation measure (2023)
Working Paper: Uncertainty in firm valuation and a cross-sectional misvaluation measure (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:ssa:lemwps:2020/15

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