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Productivity in mixed forest stands is often higher than that in pure forest stands. Economic analyses usually exclude this phenomenon. In our study, we assess the consequences of an increased productivity in mixed forests for the economically optimal proportions of tree species in forest stands. The economic model applied centers around the Modern Portfolio Theory with the Value-at-Risk as the objective function. The methodological approach encompasses a structured Monte Carlo simulation to generate distributions of returns for different scenarios. Risks include price fluctuations for raw wood as well as natural hazards. The study's major novelty is that it combines well-researched productivity relations in mixed forests with recent empirical survival models for mixed and pure stands to address site variability across Bavaria. We parametrized the model with simulated growth data for Norway spruce and European beech for various climatic and geological conditions. From the results, we conclude that decision makers can increase the Value-at-Risk of forest portfolios when overyielding occurs, by choosing higher shares of beech. Climatic conditions and the extent of overyielding strongly influence optimal stand composition. Using Value-at-Risk as a risk measure that regards both expected returns and their variation, however, leads to the observation that increased risk aversion rather favors higher shares of spruce in forest stands, despite its higher biophysical risks.