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Examining the Relationship between Random Matrix Theory and Financial Correlation

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This analysis employs random matrix theory to assess correlation structures in financial markets, suggesting robust implications for risk analysis.

Identified how observed correlations in asset returns reflect genuine market structure versus anomalies.
Demonstrated that spectral filtering improves clarity in correlation matrices while preserving market dynamics.
Constructed empirical correlation matrices using standardized log returns and compared eigenvalue spectra.
Confirmed the relevance of random matrix theory in volatility forecasting and robust portfolio construction.

R. Gandhi (2025) studied this question.

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This analysis employs random matrix theory to assess correlation structures in financial markets, suggesting robust implications for risk analysis.