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
Don’t fret about elevated skew, vol experts say
Extreme relative cost of tail risk hedging is driven by flows more than fear
This quant firm cut 90% of its compute costs. Here’s how
Quantbot Technologies uses ‘smart data routing’ to stop runaway spending on data and computing
Quants split on who wins in the alt-data gold rush
Scale helps in handling new data, but alpha may be found in niche strategies
Quants turn to machine learning to unlock private data
Replication could allow financial firms to use – and monetise – data that was previously off-limits
Market’s mystery jumps might be predictable after all
Endogenous volatility has a tell-tale pattern, quants find
Hedge funds not doing enough to fix mispricings, study finds
Passive investing has blunted market efficiency, but hedge funds are failing to capitalise
Investment flow tracking is next ‘frontier’ for alpha
Risk Live: Flows impact asset prices more than widely believed and may be more predictable – quants
Dispersion trades are back after losing big in 2020
Bets on single-stock versus index volatility are “incredibly attractive by historical standards”
Acadian builds ‘green screen’ to auto-filter ESG phoneys
$110 billion quant investor creates automated system to spot greenwashers
Fake data can help backtesters, up to a point
Synthetic data made with machine learning will struggle to capture the caprice of financial markets
In fake data, quants see a fix for backtesting
Traditionally quants have learnt to pick data apart. Soon they might spend more time making it up
Jarrow and co find a better way to spot stock market bubbles
Quant team’s options-based approach avoids pitfalls of historical data dependence
Going it alone: Lombard Odier steers clear of investing crowd
Research head Tabachnik says strategies like intraday momentum are victims of their own popularity
Inelastic markets: how index funds fuelled the meme stock frenzy
Retail traders can dictate prices in markets dominated by passive investors
Amundi puts a Darwinian spin on bond portfolio rebalancing
‘Genetic’ algorithm picks bonds to buy or sell from quadrillions of possible combinations
The volatility paradigm that’s stirring up options pricing
‘Rough volatility’ models promise better pricing and hedging of options. But will they catch on?
AQR quant on the network effects behind GameStop frenzy
New model captures how ‘fanatical’ investors can influence asset prices
Deep hedging strays when volatility gets rough – study
In the most realistic simulations, data-driven approach fared 30% worse than conventional hedging
Seismology models sound out safe ground for DG Partners
Quake technology helps quant firm time entry and exit points – and buck trend-following trend
Quants pitch strategies for when bonds no longer work
Investors are flocking to alternative diversifiers of equity risk
Quants say they can fix value’s broken ratio
Price-to-book metric can be tailored to the new economy, researchers believe
The hidden effects of stress on risk takers
Trader turned neuroscientist urges financial firms to monitor trader physiology, hire fewer physicists
Quants find new ways to identify inventive companies
Novel uses of patent and other data could help tell trailblazers from phonies
Trend followers fall under speeding equity markets
Riding trends in equity markets is proving to be a risky pastime for quant investors