activity
19942022
most citedModeling bursts and heavy tails in human dynamics

684 citations · 1.2k across the 32 of their papers we have counts for

collaborators
Showing cond-mat.stat-mechShow all

8 papers · 1 filter

cond-mat.stat-mech2021

Aspects of a phase transition in high-dimensional random geometry

Axel Prüser, Imre Kondor, Andreas Engel

A phase transition in high-dimensional random geometry is analyzed as it arises in a variety of problems. A prominent example is the feasibility of a minimax problem that represent…

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★ 5 cited

Concave risk measures in international capital regulation

Imre Kondor, Andras Szepessy, Tunde Ujvarosi

We show that some specific market risk measures implied by current international capital regulation (the Basel Accords and the Capital Adequacy Directive of the European Union) vio…

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…

cond-mat.stat-mech1997★ 10 cited

Beyond the Sherrington-Kirkpatrick Model

C. De Dominicis, I. Kondor, T. Temesvari

The state of art in spin glass field theory is reviewed.