Big Data Methods in Econometrics and Finance
Trinity College
Dr Debopam Bhattacharya
University Reader
Research Interests
Empirical Microeconomics and Micro-econometrics
Tony Cockerill
Leverhulme Emeritus Fellow
Research Interests
Industrial structure, performance and public policy
Professor Andrew Harvey
Professor of Econometrics
Research Interests
Time series; financial econometrics; state space models; signal extraction; volatility.
Dr Koen Jochmans
University Reader
Research Interests
Econometric Theory, Microeconometrics
Mr Oleg Kitov
College Lecturer in Economics (Selwyn College)
Research Interests
Time-series Econometrics, Empirical Macroeconomics, Income Distribution and Inequality
Professor Oliver Linton
Professor of Political Economy
Director of Research
Research Interests
Econometric Theory and practice; Empirical Finance
Professor Alexey Onatskiy
Professor of Econometrics
Placement Director
Research Interests
Econometrics, statistics, factor models, large random matrices.
Professor M. Hashem Pesaran
Emeritus Professor of Economics, and Fellow of Trinity College, University of Cambridge.
John Elliot Chair in Economics and Distinguished Professor of Economics, University of Southern California.
Director, USC Dornsife Center for Applied Financial Economics.
Research Interests
Econometric Analysis of Heterogeneous Panels. Panel/Global Vector Autoregressive Models(PVAR/GVAR). Long-run Structural Macroeconometrics
Dr Donald Robertson
University Senior Lecturer
Research Interests
Applied Macroeconomics and Finance. Econometrics.
Professor Mark Salmon
Senior Teaching Associate
Research Interests
Finance; Econometrics; Behavioural Finance
Professor Richard Smith
Professor of Econometric Theory and Economic Statistics
Research Interests
Econometric theory, estimation and inference, hypothesis testing, model selection.
Dr Melvyn Weeks
University Senior Lecturer
Research Interests
Microeconometrics
Michael Ashby
Title: Do Consumption-based asset pricing models explain mean reversion in stock returns
Thomas Auld
Title: Market Efficiency and Political Events
Research Interests
Market Efficiency, Bayesian Methods, Politics, High Frequency Trading, Market Microstructure
Alexis De Boeck
Title: Inference in Partially Identified Non-separable Models
Yashuang Ding
Title: Essays in Financial Economics, Continuous Time, Stochastic Models
Shuyi Ge
Title: Network Econometrics
Shaoran Li
Title: Specification, Selection, Estimation and Classification of semi-parametric Regressions
Weiguang Liu
Title: Non-parametric Econometrics and Empirical Finance
Eoghan O'Neill
Title: Estimation of Conditional Average Treatment Effects Using Many Covariates - An Application to Electricity Smart Meter Trial Data
Dario Palumbo
Title: Modelling and Extracting the Term Structure of Interest Rates: A Unifying Framework
Research Interests
Econometrics, Macroeconometrics, Empirical Finance, Asset Pricing
Research Grants
- Edwel (ECH2020 EUROPEAN RESEARCH COUNCIL (ERC)) - Bhattacharya, D.
- Globalisation And Manufacturing (CAMBRIDGE ECONOMETRICS LTD) - Cockerill, T.
- Dynamic Common Factor Models For Regional Time Series (ESRC) - Harvey, A. C.
- Time-Varying Quantiles (ESRC) - Harvey, A. C.
- Namsef - Nonparametric And Semiparametric Methods In Economics And Finance (EC FP7 ERC AIG) - Linton, O.
- International Economic Linkages And Synchronisation In Business Cycles (EUROPEAN CENTRAL BANK) - Pesaran, M. H.
- Dynamic Panel Analysis Of Interactions And Nonlinearities (ESRC) - Pesaran, M. H.
- Real Time Econometrics, And/Or Forecasting Time Series Subject To Multiple Structural Breaks (SINOPIA ASSET MANAGEMENT) - Pesaran, M. H.
- Major Research Fellowship For R Smith (LEVERHULME TRUST) - Smith, R.
Keynes Fund Sponsored Projects
- Dynamic Models for volatility and heavy tails (JHLC) - Harvey, A. C. Research Output
- Dynamic Models for volatility and heavy tails (JHLH) - Harvey, A. C. Research Output
- The effectiveness of circuit breakers on the LSE (JHLD) - Linton, O. Research Output
- Central Clearing and the Demand for Risk Sharing in OTC Derivative Markets (JHOF) - Linton, O.
- Robust Estimation and Inference (JHOK) - Smith, R. J. and Patel, A. Project Summary and Output
Published Papers
Lee, Y-Y. and Bhattacharya, D. Applied Welfare Analysis with Interval-data on Income, Journal of Econometrics, forthcoming (2019)Harvey, A. C. and Lange, R-J. Modeling the Interactions between Volatility and Returns using EGARCH‐M, Journal of Time Series Analysis (2018)
Dong, C. and Linton, O. Additive nonparametric models with time variable and both stationary and nonstationary regressors, Journal of Econometrics (2018)
Linton, O. and Mahmoodzadeh, S. Implications of high-frequency trading for security markets, Annual Review of Economics (2018)
Johnstone, I. M. and Onatski, A. Testing in High-dimensional Spiked Models, Annals of Statistics, forthcoming (2018)
Chen, J., Li, D., Linton, O., and Lu, Z. Semiparametric ultra-high dimensional model averaging of nonlinear dynamic time series, Journal of the American Statistical Association (2018)
Mitchell, J., Robertson, D. and Wright, S. R² bounds for predictive models: what univariate properties tell us about multivariate predictability, Journal of Business and Economic Statistics (2018)
Onatski, A. and Wang, C. Alternative Asymptotics for Cointegration Tests in Large VARs, Econometrica, forthcoming (2018)
Bhattacharya, D. Empirical Welfare Analysis for Discrete Choice: Some General Results, Quantitative Economics (2018)
Funie, A-I., Grigoras, P., Burovskiy, P., Luk, W. and Salmon, M. Run-time Reconfigurable Acceleration for Genetic Programming Fitness Evaluation in Trading Strategies, Journal of Signal Processing Systems (2018)
More Papers >>
Cambridge Working Papers in Economics
Koo, B., La Vecchia, D., Linton, O. Nonparametric Recovery of the Yield Curve Evolution from Cross-Section and Time Series Information, CWPE1916
(2019)Harvey, A., Liao, Y. Dynamic Tobit models, CWPE1913
(2019)Jochmans, K. Testing for Correlation in Error-Component Models, CWPE1910
(2019)Merrick Li, Z., Linton, O Robust Measures of Microstructure Noise, CWPE1908
(2019)Linton, O., Xiao, Z. Efficient Estimation of Nonparametric Regression in The Presence of Dynamic Heteroskedasticity, CWPE1907
(2019)Linton, O., Shiu, J-L. Semiparametric Nonlinear Panel Data Models with Measurement Error, CWPE1906
(2019)Jochmans, K., Otsu, T. Likelihood Corrections for Two-way Models, CWPE1887
(2018)Jochmans, K. A Portmanteau Test for Correlation in Short Panels, CWPE1886
(2018)Bhattacharya, D., Dupas, P., Kanaya, S. Demand and Welfare Analysis in Discrete Choice Models under Social Interactions, CWPE1885
(2018)Bhattacharya, D. Income Effects and Rationalizability in Multinomial Choice Models, CWPE1884
(2018)More Papers >>
Authored Books
Linton, O. Probability, statistics and econometrics, (2017), Academic PressHarvey, A. C. Dynamic models for Volatility and Heavy Tails, (2013), Cambridge University Press
Pesaran, B. and Pesaran, M.H. Time series econometrics using Microfit 5.0: a user's manual, (2010), Oxford University Press
Chapter in Book
Funie, A-I., Guo, L., Niu, X., Luk, W. and Salmon, M. Custom Framework for Run-Time Trading Strategies, (2017), forthcoming in Applied Reconfigurable Computing. - Springer International PublishingLinton, O. and Xiao, Z. Quantile regression applications in finance, (2017), forthcoming in Handbook of quantile regression . Edited by Roger Koenker, Victor Chernozhukov, He Xuming - CRC Press
Kurek, M., Becker, T., Guo, C., Denholm, S., Funie, A-I., Salmon, M., Todman, T. and Luk, W. Self-aware Hardware Acceleration of Financial Applications on a Heterogeneous Cluster, (2016), forthcoming in Self-aware Computing Systems: An Engineering Approach. - Springer International Publishing
Nolte, I. and Salmon, M. Introduction, (2014), forthcoming in High frequency trading and limit order book dynamics. Edited by Ingmar Nolte, Mark Salmon, Chris Adcock - Routledge
Dell Monache, D. and Harvey, A. C. Specification and misspecification of unobserved components models, (2012), forthcoming in Economic time series: modeling and seasonality. Edited by William Bell, Scott Holan, Tucker McElroy - CRC Press
Linton, O. and Park, S. Realized volatility : theory and applications, (2012), forthcoming in Handbook of volatility models and their applications. Edited by Luc Bauwens, Christian Hafner, Sebastian Laurent - Wiley
Xia, Y., Haerdle, W. and Linton, O. Optimal smoothing for a computationally and statistically efficient single index estimator, (2011), forthcoming in Exploring research frontiers in contemporary statistics and econometrics : a festschrift for Leopold Simar. Edited by Ingrid Van Keilegom, Paul Wilson - Springer / Physica Verlag
Pesaran, M.H. Predictability of asset returns and the efficient market hypothesis, (2010), forthcoming in Handbook of Empirical Economics and Finance. Edited by Aman Ullah, David Giles - Taylor & Francis
Li, S. and Linton, O. Evaluating hedge fund performance: a stochastic dominance approach , (2010), forthcoming in Handbook of portfolio construction: contemporary applications of Markowitz techniques. Edited by John Guerard - Springer
Chapter in Book
eds. Nolte, I. and Salmon, M. High frequency trading and limit order book dynamics, (2014) - RoutledgeConference Publication
Cross, A.-I., Luk, W. Guo,- L. and Salmon, M. CJS: Custom Jacobi solver, (2018) 9th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, Toronto, CanadaCross, A.-I., Guo, L., Luk, W. and Salmon, M. CRRS: Custom regression and regularisation solver for large-scale linear systems, (2018) 28th International Conference on Field-Programmable Logic and Applications, Dublin, Ireland
Funie, A-I., Grigoras, P., Burovskiy, P., Luk, W. and Salmon, M. Reconfigurable acceleration of fitness evaluation in trading strategies, (2015) IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP), Toronto, ON, Canada
Funie, A-I., Salmon, M. and Luk, W. A Hybrid Genetic-Programming Swarm-Optimisation Approach for Examining the Nature and Stability of High Frequency Trading Strategies, (2014) 13th International Conference on Machine Learning and Applications, IEEE, Detroit, MI, USA
