Faye Kilburn
Faye Kilburn is senior staff writer for asset management and insurance, covering risk management, derivatives and regulatory issues as they affect the buy side.
Based in New York, Faye joined Infopro Digital (then Incisive Media) in 2010 on the graduate scheme, and previously worked as deputy editor at Inside Market Data covering technology and capital markets.
Follow Faye
Articles by Faye Kilburn
Goldman improves execution ‘by 50%’ with new algos
Bank uses neural networks and other AI tools to cut slippage in stock trading
QMA’s Dyson: AI a ‘wonderful marketing concept’
Quant firm sceptical about using artificial intelligence to seek out tradable strategies
Quant Lipton pans Facebook’s Libra
Former Bank of America exec sees more potential in rival projects, such as utility settlement coin
AllianceBernstein uses AI to sidestep ‘growth trap’
Random forest model aims to sort success stories like Amazon and Netflix from fast-growth losers
PanAgora uses NLP to cut through Chinese cyber speak
Fund builds Mandarin-reading algo to gauge sentiment of retail investors
Can robots learn to manage risk?
Will machine learning transform risk management or give birth to a new breed of model risk? Probably both
How AI could tear up risk modelling canon
BlackRock, MSCI, LFIS among firms looking to replace traditional, linear risk models
Cleaning noisy data ‘almost 70%’ of machine learning labour
Quants flag signal-to-noise ratio as key to reducing overfitting risk
Stock-pickers take note: the quants are coming
Quant funds are turning their hand to fundamental investing
Stick to core skills or risk data overload, says Goldman quant
Data-as-a-service chief says asset managers risk being swamped by new types of information
Quants blame crowding and concentration for bleak 2018
Funds are still struggling to explain why so many of them did so badly last year
Systematic manager puts up guardrails for AI
Boston-based Acadian aims to limit risks from complex, machine learning algorithms
Fund houses get picky over where to use machine learning
Buy-siders limit usage of deep learning techniques due to haziness over their inner workings
Funds hunt for the real McCoy in alternative data jungle
Uncorrelated information is a rare species but there are other ways to make funky new data work
Baselines for applying machine learning to investing
Techniques that worked in the natural sciences may not translate well to financial markets
Weiss scraps bond strategy amid liquidity qualms
Buy-Side Risk USA: $1.6 billion manager says thinned-out markets make generating alpha hard
UBS Asset Management cools on alternative data
Buy-Side Risk USA: Firm checked several datasets and found little alpha
Some trend followers are less than ‘pure’ – study
Sick of waiting for a crisis, some commodity trading advisers move from ‘pure trend’ to ‘trend-plus’
Buy-side quant says Brexit a ‘test’ of new AI
Natural language processing can give “more insight” into possible market shudders, says Simonian
Funds use artificial intelligence to weigh ethical investing
Quants explore links between ESG investment and outperformance
Can nowcasting unlock factor timing?
Fulcrum Asset Management is running tests to see if fresher data can help improve factor allocations
Natixis creates model to ‘learn’ how factors interact
Random forest technique sheds light on flux in how factors mix, manager says
Wall Street vets vie to be BlackRock of crypto
Fund launch uses fundamental analysis to identify value propositions in high-risk industry
Quants ‘running into walls’ with AI interpretability
Some firms “stumbling” with new technology, conference hears