Martin Sewell
TitleCited byYear
Behavioural finance
M Sewell
University of Cambridge, 1-14, 2007
3112007
History of the efficient market hypothesis
M Sewell
Rn 11 (04), 04, 2011
2312011
Ensemble learning
M Sewell
RN 11 (02), 2008
1152008
Characterization of financial time series
M Sewell
Rn 11 (01), 01, 2011
1102011
The efficient market hypothesis: Empirical evidence
M Sewell
International Journal of Statistics and Probability 1 (2), 164, 2012
542012
Learning to optimize profits beats predicting returns- comparing techniques for financial portfolio optimisation
W Yan, MV Sewell, CD Clack
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
262008
Technical analysis
M Sewell
London: University Collegge London, 2008
262008
Feature selection
M Sewell
Online]. http://machine-learning. martinsewell. com/feature-selection, 2007
222007
Forecasting foreign exchange rates using kernel methods
M Sewell, J Shawe-Taylor
Expert Systems with Applications 39 (9), 7652-7662, 2012
172012
The application of intelligent systems to financial time series analysis
MV Sewell
PhD dissertation, Department of Computer Science, University College London …, 2010
172010
Ultra high frequency financial data
MV Sewell, W Yan
Proceedings of the 10th annual conference companion on Genetic and …, 2008
122008
Kernel methods
M Sewell
Department of Computer Science, University College London, 2009
102009
Structural risk minimization
M Sewell
102008
Calendar anomalies: a survey of the literature
N Patel, M Sewell
International Journal of Behavioural Accounting and Finance 5 (2), 99-121, 2015
92015
The Fisher kernel: A brief review
M Sewell
RN 11 (06), 06, 2011
92011
Emotions help solve the prisoner’s dilemma
M Sewell
Proceedings of the Behavioural Finance Working Group Conference: Fairness …, 2010
82010
VC Dimension
M Sewell
Dep. Comuter Sci. Univ. Coll., 2008
82008
Model selection
M Sewell
72015
Psychology of Successful Investing
M Sewell
University of Cambridge February, 2011
72011
Money management
M Sewell
RN 11 (05), 05, 2011
72011
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Articles 1–20