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3 results for K-copula

Study on non-stationary stock returns copulas, comparing models.

problem Capturing statistical dependencies in non-stationary financial data.
method Estimation and modeling of empirical copulas from non-stationary and locally normalized daily stock returns.
result K-copula best captures non-stationarity, skewed Student's t-copula best asymmetry.

Copulas reveal strong positive dependencies in stock demand fluctuations due to volume imbalances.

problem Analyzing dependencies of stock demands using local volume fluctuations.
method Copula analysis of empirical data to model dependence structures.
result Large local fluctuations of signed traded volumes increase positive dependencies in demand but slightly lower negative ones.