activity
20182021
most citedUnbiased Smoothing using Particle Independent Metropolis-Hastings

16 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

q-fin.GN2021

Trading styles and long-run variance of asset prices

Lawrence Middleton, James Dodd, Simone Rijavec

Trading styles can be classified into either trend-following or mean-reverting. If the net trading style is trend-following the traded asset is more likely to move in the same dire…

q-fin.GN2020

A growth adjusted price-earnings ratio

Graham Baird, James Dodd, Lawrence Middleton

The purpose of this paper is to introduce a new growth adjusted price-earnings measure (GA-P/E) and assess its efficacy as measure of value and predictor of future stock returns. T…

q-fin.GN2019

Quantitative earnings enhancement from share buybacks

Lawrence Middleton, James Dodd, Graham Baird

This paper aims to explore the mechanical effect of a company's share repurchase on earnings per share (EPS). In particular, while a share repurchase scheme will reduce the overall…

stat.CO2019★ 16 cited

Unbiased Smoothing using Particle Independent Metropolis-Hastings

Lawrence Middleton, George Deligiannidis, Arnaud Doucet +1

We consider the approximation of expectations with respect to the distribution of a latent Markov process given noisy measurements. This is known as the smoothing problem and is of…

stat.CO2018

Unbiased Markov chain Monte Carlo for intractable target distributions

Lawrence Middleton, George Deligiannidis, Arnaud Doucet +1

Performing numerical integration when the integrand itself cannot be evaluated point-wise is a challenging task that arises in statistical analysis, notably in Bayesian inference f…