Artificial intelligence
Podcast: Quantum computing to boom in next three to five years
Quant speaks of collaboration with Nasa and machine-learning algos for yield curves
AI models prompt banks to strengthen governance
Risk managers want ‘transparency and clarity’ around AI-based models
Banks explore new data techniques to tackle money laundering
Artificial intelligence in tandem with human analysis seen as effective for know-your-customer
The changing face of European power trading
Webinar: FIS
Risk management on course to move beyond cost centre
Video Q&A: Neil Dodgson, IBM Watson Financial Services
Quants warn over flaws in machine learning predictions
Six quants debate whether the tool can adjust to paradigm shifts in financial markets
Neural network learns ‘universal model’ for stock-price moves
Relationships between order flow and price “are stable through time and across stocks and sectors”
Ex-F1 strategist in driving seat at Schroders data unit
Mark Ainsworth on “turning data into alpha” at fundamental asset manager
Podcast: Brigo on derivatives, AI, machine learning and more
Genuine artificial intelligence remains "very, very far away", says Imperial College's Brigo
Investors warm to quant tools to gauge political risk
Many funds have lost confidence in traditional ways of measuring political risk
Market Technology Awards 2018: New problems, new solutions
Vendors embrace cloud, alternative languages and agile approaches
DTCC’s Bodson on blockchain, SDRs and repo clearing
Risk30: swap data reporting will move to a distributed ledger platform in early 2018
Bridgewater’s Murray on radical transparency and op risk
Risk30 profile: “People think we’re crazy,” says giant fund’s co-CEO of its unique approach to op risk
The future of risk in 10 interviews: volatility, liquidity and tech
Fed’s Powell, JP Morgan CRO, Bridgewater co-CEO all feature in upcoming profiles
Top 10 energy risks and challenges
Regulation and changing market dynamics among threats to energy in year ahead
People: Genco opens Singapore office, hires head of major bulks
Recent changes at dry cargo, gas trading and gold market participants, among others
Machine learning for trading
Gordon Ritter applies reinforcement learning to dynamic trading strategies with market impact
Rethinking risk management in the age of cognitive computing
Content provided by IBM
Banks move to model smaller op risk losses
Credit Suisse is using scenario analysis to model the risks associated with internal fraud losses
Model risk managers eye benefits of machine learning
Ramp-up in regulatory scrutiny of model validation sees banks turn to black boxes