Research Interests
Econometric Theory and practice; Empirical Finance
Recent Publications
Published Papers
Chen, J., Li, D., Linton, O., and Lu, Z. Semiparametric ultra-high dimensional model averaging of nonlinear dynamic time series, (2018) Journal of the American Statistical AssociationBoneva, L. and Linton, O. A discrete-choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance, (2017) Journal of Applied Econometrics
Chen, X.,Linton, O. and Yi, Y. Semiparametric identification of the bid-ask spread in extended Roll models, (2017) Journal of Econometrics
Vogt, M. and Linton, O. Classification of non-parametric regression functions in longitudinal data models, (2017) Journal of the Royal Statistical Society. Series B: Statistical Methodology
Hong, S.Y., Linton, O. and Zhang, H.J. An investigation into multivariate variance ratio statistics and their application to stock market predictability, (2017) Journal of Financial Econometrics
Cambridge Working Papers in Economics
Linton, O. and Mahmoodzadeh, S. Implications of High-Frequency Trading for Security Markets, (2018) CWPE1802Auld, T. and Linton, O. The Behaviour of Betting and Currency Markets on the Night of the EU Referendum, (2017) CWPE1750
Boneva, L. and Linton, O. A Discrete Choice Model For Large Heterogeneous Panels with Interactive Fixed Effects with an Application to the Determinants of Corporate Bond Issuance, (2017) CWPE1703
Chen, X., Linton, O. and Schneeberger, S. Simple Nonparametric Estimators for the Bid-Ask Spread in the Roll Model, (2016) CWPE1620
Hafner, C. M. and Linton, O. Estimation of a Multiplicative Covariance Structure in the Large Dimensional Case, (2016) CWPE1664
Chapter in Book
Linton, O. and Park, S. Realized volatility : theory and applications, (2012) in the book: Handbook of volatility models and their applications - WileyXia, Y., Haerdle, W. and Linton, O. Optimal smoothing for a computationally and statistically efficient single index estimator, (2011) in the book: Exploring research frontiers in contemporary statistics and econometrics : a festschrift for Leopold Simar - Springer / Physica Verlag
Li, S. and Linton, O. Evaluating hedge fund performance: a stochastic dominance approach , (2010) in the book: Handbook of portfolio construction: contemporary applications of Markowitz techniques - Springer
Recent Activities
Panel Data Workshop - Publication Date: 2017-05-11
This workshop will take place on the 23rd - 24th May 2017, Winstanley theatre, Trinity College and will involve a number of speakers domestic and international presenting their work on panel data methods with applications in finance and macroeconomics.
Text, Herding and Sentiment - Publication Date: 2017-05-11
This 3 day workshop will take place on the 11th - 13th September, 2017, in the Winstanley theatre, Trinity College, Cambridge.
Prof Oliver B. Linton awarded status of “Thousand Talents Plan†by Renmin University of China - Publication Date: 2016-09-21
Prof Oliver B. Linton of the University of Cambridge was designated the status of “Thousand Talents Plan†with affiliation at Renmin University of China. The ceremony for signing of the contract was held in Beijing on the 15th of June, 2016. (Please note the article is only available in Chinese)
Stochastic Dominance Theory and Applications Workshop - Publication Date: 2016-07-20
The Stochastic Dominance Theory and Applications workshop will be held in the Winstanley theatre, Trinity College, on the 15th and 16th September 2016.
The Microstructure of Foreign Exchange Markets - Publication Date: 2016-05-19
The Microstructure of Foreign Exchange Markets will take place on Thursday 19th May - Saturday 21st May 2016, in the Winstanley theatre, Trinity college.
Research Grants
Namsef - Nonparametric And Semiparametric Methods In Economics And Finance (EC FP7 ERC AIG)
Keynes Fund Sponsored Projects
The effectiveness of circuit breakers on the LSE (JHLD) Research Output
Central Clearing and the Demand for Risk Sharing in OTC Derivative Markets (JHOF)
Teaching
PIIA Paper 6 - Lent - Econometrics
F500 - Empirical Finance
Phd30 - Topics in Advanced Econometrics
PhD Students
Supervisor
Jeroen Dalderop
PhD Title: Econometric Analysis of Derivative Prices
Research: Econometrics, Financial Economics, and Asset Pricing
PhD Title: Econometric Analysis of Derivative Prices
Research: Econometrics, Financial Economics, and Asset Pricing
Ekaterina Smetanina
PhD Title: Real-time GARCH: Does Current Information Matter?
Research: Econometrics, Finance
PhD Title: Real-time GARCH: Does Current Information Matter?
Research: Econometrics, Finance
Dario Palumbo
PhD Title: Modelling and Extracting the Term Structure of Interest Rates: A Unifying Framework
Research:
PhD Title: Modelling and Extracting the Term Structure of Interest Rates: A Unifying Framework
Research:
Joseph Fisher
PhD Title: Forecasting economic variables with machine learning techniques and internet data
Research:
PhD Title: Forecasting economic variables with machine learning techniques and internet data
Research:
Ondrej Tobek
PhD Title: In Search of Ultimate Liquidity Proxy
Research: Empirical Finance, Asset pricing
PhD Title: In Search of Ultimate Liquidity Proxy
Research: Empirical Finance, Asset pricing
Michael Ashby
PhD Title: Do Consumption-based asset pricing models explain mean reversion in stock returns
Research:
PhD Title: Do Consumption-based asset pricing models explain mean reversion in stock returns
Research:
Shaoran Li
PhD Title: Specification, Selection, Estimation and Classification of semi-parametric Regressions
Research:
PhD Title: Specification, Selection, Estimation and Classification of semi-parametric Regressions
Research:
Advisor
Ruochen Wu
PhD Title: Semi-parametric Bayesian Bootstrapped Semiparametric Bayesian Inference: An Application to Demand SystemsEconometrics
Research:
PhD Title: Semi-parametric Bayesian Bootstrapped Semiparametric Bayesian Inference: An Application to Demand SystemsEconometrics
Research:
Thomas Auld
PhD Title: Bayesian Machine Learning and Causal Inference, Theory and Applications
Research:
PhD Title: Bayesian Machine Learning and Causal Inference, Theory and Applications
Research:
