Artificial intelligence
Energy25: Energy firms turn to next-generation analytics
FIS, Enverus and Eka take to the podium in the inaugural Energy25 technology rankings
Libor transition and implementation – Special report 2019
A critical halfway stage has been reached on the Libor transition journey – at least in terms of timing. It’s just over two years since the UK’s top financial regulator called notice on the discredited benchmark. It’s also just over two years until the…
Computer says no: combating bias in machine learning models
Proposed US law on algo lending targets in-built discrimination, say modelling experts
Allianz Global Investors adopts NLP signals in equities
Move to tackle unstructured data starts with sell-side analyst reports
Deploying agile analytics in the fight against fraud
Financial firms are under pressure to tackle the widespread problem of financial fraud. As the speed, scale and sophistication of fraudulent activity grows, a panel of financial crime experts reveal how firms can develop an agile analytics capability to…
Harnessing AI to achieve Libor transition
Chris Dias, principal at KPMG, explains how the vast increase in accuracy that artificial intelligence (AI) offers when dealing with large volumes of complex agreements is crucial to exploring the market opportunities and mitigating the risks of the…
Machine learning, Deutsche auction and repo haircuts
The week on Risk.net, September 16–20, 2019
Some quant shops doomed to ‘struggle’ – López de Prado
Theory-first firms must modernise their methods or wither, says machine learning expert
ETF provider of the year: Yuanta SITC
Asia Risk Awards 2019
NLP sniffs out contracts harbouring Eonia as fallback
Test finds wide range of 4,000 Libor euro contracts examined could end up in the flagging Eonia rate
Goldman improves execution ‘by 50%’ with new algos
Bank uses neural networks and other AI tools to cut slippage in stock trading
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
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
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…