Centre Fellows

Oliver Linton

University of Cambridge

Oliver is Professor of Political Economy at Cambridge University. His research interests include econometric theory, nonparametric and semiparametric methods and empirical finance.

Selected Publications

Semiparametric model averaging of ultra-high dimensional time series

In this paper, we consider semiparametric model averaging of the nonlinear dynamic time series system where […]

Jia Chen, Degui Li, Oliver Linton, Zudi Lu
4 October 2015 | CWP62/15
Nonparametric Euler equation identification and estimation

We consider nonparametric identification and estimation of pricing kernels, or equivalently of marginal utility functions up […]

Juan Carlos Escanciano, Stefan Hoderlein, Arthur Lewbel, Oliver Linton, Sorawoot Srisuma
1 October 2015 | CWP61/15
An investigation into multivariate variance ratio statistics and their application to stock market predictability

We propose several multivariate variance ratio statistics. We derive the asymptotic distribution of the statistics and […]

Seok Young Hong, Oliver Linton, Hui Jun Zhang
24 March 2015 | CWP13/15
Classification of nonparametric regression functions in heterogeneous panels

We investigate a nonparametric panel model with heterogeneous regression functions. In a variety of applications, it […]

Michael Vogt, Oliver Linton
20 February 2015 | CWP06/15
Mean Ratio Statistic for measuring predictability

We propose an alternative Ratio Statistic for measuring predictability of stock prices. Our statistic is based […]

Oliver Linton, Katja Smetanina
20 February 2015 | CWP08/15
Semiparametric dynamic portfolio choice with multiple conditioning variables

Dynamic portfolio choice has been a central and essential objective for institutional investors in active asset […]

Jia Chen, Degui Li, Oliver Linton, Zudi Lu
20 February 2015 | CWP07/15

Latest version

Semiparametric dynamic portfolio choice with multiple conditioning variables
Jia Chen, Degui Li, Oliver Linton, Zudi Lu
1 October 2016 | Journal Article
Multivariate variance ratio statistics

We propose several multivariate variance ratio statistics. We derive the asymptotic distribution of the statistics and […]

Seok Young Hong, Oliver Linton, Hui Jun Zhang
6 June 2014 | CWP29/14
The cross-quantilogram: measuring quantile dependence and testing directional predictability between time series

This paper proposes the cross-quantilogram to measure the quantile dependence between two time series. We apply […]

Heejoon Han, Oliver Linton, Tatsushi Oka, Yoon-Jae Whang
20 February 2014 | CWP06/14

Latest version

The cross-quantilogram: measuring quantile dependence and testing directional predictability between time series
Heejoon Han, Oliver Linton, Tatsushi Oka, Yoon-Jae Whang
1 July 2016 | Journal Article
The effect of fragmentation in trading on market quality in the UK equity market

We investigate the effects of fragmentation in equity trading on the quality of the trading outcomes, […]

Lena Boneva (Körber), Oliver Linton, Michael Vogt
27 August 2013 | CWP42/13

Latest version

The effect of fragmentation in trading on market quality in the UK equity market
Lena Boneva (Körber), Oliver Linton, Michael Vogt
1 February 2016 | Journal Article
Nonparametric estimation of multivariate elliptic densities via finite mixture sieves

This paper considers the class of p-dimensional elliptic distributions (p ≥ 1) satisfying the consistency property […]

Heather Battey, Oliver Linton
22 August 2013 | CWP41/13