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The authors develop and validate a conditional multiplier approach for valuing branded businesses. The approach enhances traditional multiplier-based valuation by explicitly incorporating brand characteristics into the model. The authors present theoretical arguments why, develop a model to demonstrate how, and provide an empirical illustration to show that brand assets are not fully reflected in contemporaneous margins, and therefore valuation accuracy can be improved by incorporating information about the properties of the firm's brand asset directly into a valuation framework. The authors find that brand metrics have statistically significant associations with valuation multipliers and add incremental explanatory power to accounting variables in explaining valuation multipliers. Out-of-sample analysis shows a 16% improvement in the mean absolute error for predictions that take into account brand metrics compared with predictions based on accounting variables alone.
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