Machine learning
The machines are coming for your pricing models
Deep learning is opening up new frontiers in financial engineering and risk management
The rise of the robot quant
The latest big idea in machine learning is to automate the drudge work in model-building for quants
Margin reform – From challenge to opportunity
SmartStream Technologies explores how, as new initial margin regulations from the Basel Committee on Banking Supervision and the International Organisation of Securities Commissions become a pressing concern for more firms, technology service providers…
Deep hedging and the end of the Black-Scholes era
Quants are embracing the idea of ‘model free’ pricing and hedging
Optimal posting of collateral with recurrent neural networks
Pierre Henry-Labordère applies neural networks to a control problem approach for managing collateral
QMA’s Dyson: AI a ‘wonderful marketing concept’
Quant firm sceptical about using artificial intelligence to seek out tradable strategies
GAM Systematic’s Ewan Kirk is sticking to his guns
Have markets changed? “They always do,” says quant fund CIO
AllianceBernstein uses AI to sidestep ‘growth trap’
Random forest model aims to sort success stories like Amazon and Netflix from fast-growth losers
Finra plans machine learning push against market rigging
ML trained to find spoofing and layering
PanAgora uses NLP to cut through Chinese cyber speak
Fund builds Mandarin-reading algo to gauge sentiment of retail investors
Risk Technology Awards 2019: Making machines more helpful
Machine learning can be too efficient; now, vendors are looking for ways to make it more accurate. Clive Davidson looks at the stories behind this year’s Risk Technology Awards
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
A tech-driven transformation
A panel of experts explores how greater collaboration between risk and finance teams can garner significant benefits and add value, how technological innovation is making the regulatory landscape more complicated to navigate and produce transformative…
Model risk management transformation
Financial institutions have been maturing their approaches to MRM and – as models become more complex and pervasive, and regulatory expectations continue to increase – leading financial institutions seek faster and further movement. Ashutosh Nawani, head…
JP Morgan’s Hudson: innovation stuck in trading web
Risk Live: Digital head floats shared platform, rather than “point solutions”
BoE probes banks on machine learning use
Risk Live: watchdog wants to know “how prevalent” ML models are, say execs
Model risk managers: banking’s future VIPs
Risk Live: Machine learning models are changing the risk profile of banks, says UBS CRO
One size does not fit all – Adapting to meet investment goals
Guillaume Arnaud, global head of quantitative investment strategies (QIS), and Sandrine Ungari, head of cross-asset quantitative research at Societe Generale, explore the benefits of QIS for investors, why flexibility is crucial for investors to meet…
Risk premia strategies – Lessons learned for the future
After a difficult 2018, investors are increasingly wary of risk premia, concerned that factors leading to underperformance might be a recurring problem. Imene Moussa, executive director at UBS, clarifies this issue
UBS unleashes Orca for rates clients
Machine learning algo trawls liquidity pools to slash US Treasury trading costs