Degree of influence: are machines starting to learn finance?
This year's analysis recognises a turning point in machine learning applications
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In 2018, the Cutting Edge section of Risk saw more papers on machine learning (ML) techniques applied to finance. Their impact has been significant, to the extent that both individual Risk awards for quantitative finance – the Quant of the year and Buy-side quant of the year – were collected by authors in that field. Gordon Ritter and Alexei Kondratyev proposed ML solutions for complex issues around trading, MVA optimisation and estimation of
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