activity
20132016
most citedDetecting intraday financial market states using temporal clustering

17 citations · 27 across the 2 of their papers we have counts for

collaborators

8 papers

q-fin.TR2016★ 10 cited

Deviations in expected price impact for small transaction volumes under fee restructuring

Michael Harvey, Dieter Hendricks, Tim Gebbie +1

We report on the occurrence of an anomaly in the price impacts of small transaction volumes following a change in the fee structure of an electronic market. We first review evidenc…

q-fin.TR2015★ 17 cited

Detecting intraday financial market states using temporal clustering

Dieter Hendricks, Tim Gebbie, Diane Wilcox

We propose the application of a high-speed maximum likelihood clustering algorithm to detect temporal financial market states, using correlation matrices estimated from intraday ma…

q-fin.GN2014

Hierarchical causality in financial economics

Diane Wilcox, Tim Gebbie

Hierarchical analysis is considered and a multilevel model is presented in order to explore causality, chance and complexity in financial economics. A coupled system of models is u…

q-fin.TR2014

A reinforcement learning extension to the Almgren-Chriss model for optimal trade execution

Dieter Hendricks, Diane Wilcox

Reinforcement learning is explored as a candidate machine learning technique to enhance existing analytical solutions for optimal trade execution with elements from the market micr…

q-fin.CP2014

High-speed detection of emergent market clustering via an unsupervised parallel genetic algorithm

Dieter Hendricks, Diane Wilcox, Tim Gebbie

We implement a master-slave parallel genetic algorithm (PGA) with a bespoke log-likelihood fitness function to identify emergent clusters within price evolutions. We use graphics p…

q-fin.PR2013

On pricing kernels, information and risk

D. L. Wilcox, T. J. Gebbie

We discuss the finding that cross-sectional characteristic based models have yielded portfolios with higher excess monthly returns but lower risk than their arbitrage pricing theor…