Quantitative analysis
Some quant shops doomed to ‘struggle’ – López de Prado
Theory-first firms must modernise their methods or wither, says machine learning expert
Functional programming reaches for stardom in finance
Fans highlight more reliable code, and suitability for complex tasks and distributed ledgers
Honesty is key to machine learning’s future – Roberts
Oxford-Man Institute director on why tomorrow’s models will gracefully admit defeat
Dabbling in data science won’t cut it
Banks are seeking data-led boost for research arms – only a few will succeed
Arnott, Harvey: machine learning dangerous when data thin
Experts warn ML should be used “for its correct purpose”
Banks bet on data to rescue research
Barclays, Morgan Stanley, UBS among those using data science to pep up their research offerings
Quant Guide 2019: University of Toronto
Toronto, Ontario, Canada
Quant Guide 2019: University of California, Berkeley
Haas School of Business, Berkeley, US
Quant Guide 2019: EPFL
Lausanne, Switzerland
Quant Guide 2019: Stony Brook University
College of Engineering and Applied Science, Brookhaven, New York, US
Quant Guide 2019: ETH Zurich/University of Zurich
Zurich, Switzerland
Quant Guide 2019: Cornell University
School of Operations Research and Information Engineering, Ithaca and New York City, New York, US
Quant Guide 2019: University of California, Los Angeles
Anderson School of Management, Los Angeles, US
Quant Guide 2019: University of Warwick
Warwick Business School, Coventry, UK
Quant Guide 2019: University of Leuven
Leuven, Belgium
Quant Guide 2019: Monash University
Melbourne, Australia
Quant Guide 2019: University of Washington
Seattle, US
Quant Guide 2019: Columbia University
New York City, New York, US
Quant Guide 2019: Rutgers University
Piscataway, New Jersey, US
Quant Guide 2019: University of York
York, UK
Quant Guide 2019: Hong Kong University of Science and Technology
Hong Kong, China
Quant Guide 2019: University of Bologna
Bologna, Italy