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This thesis investigates the impact of gender diversity on stock returns and the optimal
integration of gender diversity metrics into portfolio construction. Analyzing S&P500 stocks
from 2017 to 2022, 48 portfolios were constructed using a gender diversity score and various
screening and optimization techniques. Overall, the findings indicate that gender diversity
negatively impacts stock returns. This result is robust across different screening approaches,
screening levels, and optimization processes. Although no robust conclusion on optimal
screening approach and intensity was found, evidence supports the Markowitz optimization
framework over Naïve diversification, and a low screening type over a high screening type.
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Esg Gender diversity Positive screening Best-in-class screening Asset allocation Socially responsible investments Portfolio construction Portfolio analysis
