1 code implementation • 23 Nov 2020 • Patrick Chang, Etienne Pienaar, Tim Gebbie
Concretely, we find that the Epps effect is present under all three definitions of time and that correlations emerge faster under trade time compared to calendar time, whereas correlations emerge linearly under volume time.
2 code implementations • 21 May 2020 • Patrick Chang, Etienne Pienaar, Tim Gebbie
The Epps effect is key phenomenology relating to high frequency correlation dynamics in financial markets.
2 code implementations • 5 Mar 2020 • 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 sampled event-data using the Malliavin-Mancino Fourier estimator.