Bayesian Learning and Real Options: Valuing Strategic Ivestments

This paper presents a Bayesian Learning Real Options (BLRO) model that integrates Bayesian decision-making with real options pricing. By actively acquiring new information, firms can update investment decisions over time, rather than passively waiting. The model is applied to valuing a parts manufacturing license in the aerospace industry. It highlights how learning can sharpen decision thresholds and better align strategic investments with real-world uncertainty. The BLRO framework helps firms prioritize long-term strategic growth despite uncertain conditions.