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.
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”
Ties between alternative risk premia and fixed income closer than appreciated
Stocks rated for value are historically cheap compared with growth stocks, evidence shows
Average fund is down almost 5%, but gap between best and worst performers is 14%
Investment approach’s diversification benefits can’t be relied on in the short term
Firm says conventional investing wisdom is missing out on alpha
Goldman, Robeco challenge conventional ‘bottom-up’ portfolio design
Firms turn to machine learning, hybrid products and new markets to boost returns