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q-fin.CP2020
Malliavin-Mancino estimators implemented with non-uniform fast Fourier transforms
Patrick Chang, Etienne Pienaar, Tim Gebbie
We implement and test kernel averaging Non-Uniform Fast Fourier Transform (NUFFT) methods to enhance the performance of correlation and covariance estimation on asynchronously samp…
q-fin.CP2019★ 3 cited
Revisiting the Epps effect using volume time averaging: An exercise in R
Patrick Chang, Roger Bukuru, Tim Gebbie
We revisit and demonstrate the Epps effect using two well-known non-parametric covariance estimators; the Malliavin and Mancino (MM), and Hayashi and Yoshida (HY) estimators. We sh…