
Rob Mannix
Investing editor
Rob Mannix is the investing desk editor. Based in the London office, Rob is interested in developments such as 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.
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Articles by Rob Mannix
Citi quants’ AI model aims to hedge earnings surprises
Machine learning tool forecasts effect of shocks on implied volatility surfaces in minutes
Gamma zero: an overlooked signal of volatility is flashing red
Markets are most erratic when option hedging exposures are flat
Fragile liquidity puts markets in ‘danger zone’
Some measures of trading conditions are as poor as in 2008
Are decentralised exchanges the future for trading?
Success of blockchain venues has implications even beyond crypto
Terrance Odean on the $2.8bn catch in zero-commission trading
Berkeley professor’s research on the true cost of retail trading has caught the eye of regulators
It’s amateur hour: how retail traders upended options market
Cutting-edge data shows non-professionals are driven by news events and desire to make a quick buck
The closer quants look, the less diversifying crypto appears
Analysis seems to confirm that the asset class is not an effective diversification play
This time’s no different: Robeco’s faith in 200-year backtests
Firm’s (very) long-term studies suggest factor strategies can soften hit from stagflation
When stagflation looms, investors get no satisfaction
In a toxic inflation-stagnation mix, conventional trades and hedges falter; alternatives are unproven
JP Morgan quants are building deep hedging 2.0
New model uses Bellman technique to learn general derivatives hedging strategies
The stETH slide and what it means for crypto liquidity
Q&A: Automated market-making may have contributed to depegging, says a crypto fund manager
Why machine learning quants need ‘golden’ datasets
An absence of shared datasets is holding back the development of ML models in finance
Why even the safest stablecoins could fail
Settlement delays, insolvency risks mean collateralised coins could falter
Designed to fail: terra and the limits of arbitrage
Speculative ‘attack’ exposed fundamental flaws in crypto’s algorithmic stabilisation mechanism
Trend following’s bumper returns mask fading convexity
Research suggests strategy is no longer a reliable hedge against stock market crashes
From ‘cottage industry’ to quant-ready: prop data at JP Morgan
Unique information now “table stakes” for brokers as they compete for new clients
Revival of FX carry strategy leaves quants unconvinced
Record returns in March give little comfort that strategy is ‘back’
Earnings call analysis 2.0 goes beyond good and bad words
Quants develop new ways to extract signals from media-savvy chief executives and their financial statements
Ukraine conflict reminds quants that operations matter
Quants cannot ignore real-world frictions such as sanctions and market closures
Super backwardation trips up commodity carry trade
Wrong type of curve derails quants’ commodity carry trade for worst spell in decades
Aaron Brown: war could usher in new sanctions era, hurting US
Investors must think long-term, warns risk expert; west may lose out to crypto and new financial hubs
Analysts reveal more than company execs on earnings calls – AB
Sentiment signals derived from what analysts say beat those based on bosses’ responses, say quants
Vanna and the Big Put: unusual suspects in a market mystery
US equity reversal on January 24 has spawned many theories, but no solid answers