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In this study, we examine the implications of multi-factor asset pricing models in corporate valuation, focusing on the relative valuation approach. Our investigation centers around an eight-factor model, which we compare against traditional valuation methods that rely on industry or risk grouping and cross-sectional averages. The purpose of this comparison is to assess the efficacy of incorporating pricing factor variables into the valuation process and to understand their impact on valuation accuracy. The findings of our analysis suggest that the use of the eight-factor model leads to a reduction in estimation errors of valuation multiples, indicating an important improvement in precision compared to conventional valuation methods. Additionally, our research offers insights into the practicality of applying multi-factor models. It contributes to the intersection between empirical asset pricing and corporate finance by providing a detailed evaluation of advanced valuation models and their relevance in improving the accuracy of relative valuation.
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Skočir et al. (Tue,) studied this question.
synapsesocial.com/papers/68e6df83b6db64358765ad0f — DOI: https://doi.org/10.1016/j.ribaf.2024.102366
Matevž Skočir
University of Ljubljana
Igor Lončarski
University of Ljubljana
Research in International Business and Finance
University of Ljubljana
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