Rob Mannix is the desk editor for investment, covering systematic investment strategies from quant funds to factor investing. He was previously responsible for Risk.net’s insurance coverage.
Based in the London office, Rob is interested in developments in the use of new types of data, the application of machine learning in investment, and research into systematic sources of return in markets.
Rob joined Infopro Digital (then Incisive Media) in 2008, having previously worked at Euromoney Institutional Investor, covering legal and regulatory issues affecting capital markets.
Risk Live: New data will “completely transform the landscape” of investing, says SG's Albert Loo
A strategy betting against low conviction shorts beat a benchmark model by 6% in back tests
Hedge funds turn to natural language tools to pry more value out of their analysts’ internal writings
Higher-frequency images set for use in entirely new ways and by more investors than before
Waning power of quant approach could be a reason for trend following’s malaise
Study finds timing dictates different results for convergent and divergent strategies in herd moves
Watching over machine learning algorithms is similar to monitoring human portfolio managers
One measure of investor euphoria is registering its most extreme readings since the 2000 tech crash
Portfolio managers asked to keep ‘trade diaries’ of the thinking that led up to poor investments
Vanilla exposures explain as much as two-thirds of returns, authors say
Oxford-Man Institute director on why tomorrow’s models will gracefully admit defeat
Experts warn ML should be used “for its correct purpose”