9 citations · 14 across the 15 of their papers we have counts for
3 papers · 2 filters
Detecting independence of random vectors: generalized distance covariance and Gaussian covariance
Björn Böttcher, Martin Keller-Ressel, René L. Schilling
Distance covariance is a quantity to measure the dependence of two random vectors. We show that the original concept introduced and developed by Székely, Rizzo and Bakirov can be e…
Distance multivariance: New dependence measures for random vectors
Björn Böttcher, Martin Keller-Ressel, René L. Schilling
We introduce two new measures for the dependence of random variables: distance multivariance and total distance multivariance. Both measures are based on the weighted $L^…
Semi-Static Variance-Optimal Hedging in Stochastic Volatility Models with Fourier Representation
Paolo Di Tella, Martin Haubold, Martin Keller-Ressel
In a financial market model, we consider the variance-optimal semi-static hedging of a given contingent claim, a generalization of the classic variance-optimal hedging. To obtain a…