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most citedNoisy Covariance Matrices and Portfolio Optimization II

96 citations · 408 across the 7 of their papers we have counts for

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cond-mat.stat-mech2004★ 45 cited

Exponential Weighting and Random-Matrix-Theory-Based Filtering of Financial Covariance Matrices for Portfolio Optimization

Szilard Pafka, Marc Potters, Imre Kondor

We introduce a covariance matrix estimator that both takes into account the heteroskedasticity of financial returns (by using an exponentially weighted moving average) and reduces…

cond-mat.stat-mech2003★ 92 cited

Estimated Correlation Matrices and Portfolio Optimization

Szilard Pafka, Imre Kondor

Financial correlations play a central role in financial theory and also in many practical applications. From theoretical point of view, the key interest is in a proper description…

cond-mat.stat-mech2002★ 96 cited

Noisy Covariance Matrices and Portfolio Optimization II

Szilard Pafka, Imre Kondor

Recent studies inspired by results from random matrix theory [1,2,3] found that covariance matrices determined from empirical financial time series appear to contain such a high am…

cond-mat.stat-mech2001★ 65 cited

Noisy Covariance Matrices and Portfolio Optimization

Szilard Pafka, Imre Kondor

According to recent findings [1,2], empirical covariance matrices deduced from financial return series contain such a high amount of noise that, apart from a few large eigenvalues…

cond-mat.stat-mech2001★ 62 cited

Evaluating the RiskMetrics Methodology in Measuring Volatility and Value-at-Risk in Financial Markets

Szilard Pafka, Imre Kondor

We analyze the performance of RiskMetrics, a widely used methodology for measuring market risk. Based on the assumption of normally distributed returns, the RiskMetrics model compl…