Artificial intelligence
Bot’s job? Quants question AI’s model validation powers
But supervisors cautiously welcome next-gen model risk management
Asset allocation with inverse reinforcement learning
Using reinforcement learning to help replicate asset managers' allocation strategy
Machine learning and AI in model risk management: a quant perspective
Statistical risk models face issues of validity as unprecedented events and social phenomena occur. However, artificial intelligence (AI) and machine learning can assist models in maximising accuracy. By Tiziano Bellini, head of risk integration…
Explainable artificial intelligence for credit scoring in banking
The authors put forward an explainable machine learning model predicting credit default using a real-world data set provided by a Norwegian bank.
Navigating the complex world of equity options data
In an exclusive Risk.net webinar, convened in collaboration with Cboe Global Markets, experts discussed the expanding world of equity options data, the rise of retail investment within it, and the technological challenges and opportunities associated…
How to hone NLP’s detection skills: a cue from a super-sleuth
With a sharper focus, AI readers could help detect hidden exposures for investors
Holistic credit risk assessment and the goal of safe unbiased modelling
In this Asia Risk webinar, experts in artificial intelligence (AI) and machine learning examined the growing applications being seen in the field and their merit in credit risk modelling
AI models point to recession, but quants won’t trade on them
Predicting the odds of a recession, and how markets will respond, is still a step too far for machines
‘Corrective’ algo tells quant firm when it’s wrong
QTS has built a machine to show whether a strategy is likely to succeed or flop
The future is now: how data science is revolutionising risk management and finance
This webinar explores how your organisation can move beyond legacy technology, better meet investor demands and remain competitive by embracing the future of finance.
Technology risk management in fintech: underlying mechanisms and challenges
This study focuses on the foundational technology of fintech to address the challenges posed by its specific form of risk.
Shaping the future of risk and finance with analytics and integrated technology
This webinar explores how to enhance business planning activities, while accelerating regulatory demands with limited resources amid a need to derive greater value from the analytic lifecycle
Vulnerabilities arise in financial services as AI and machine learning use balloons
The scale at which financial services firms are adopting artificial intelligence and machine learning continues to grow, bringing with it new dimensions of risk and vulnerability. In a recent Risk.net webinar sponsored by TCS, experts discussed…
Taking advantage of relative value credit opportunities with advanced bond analytics
Dmitry Pugachevsky, director of research at Quantifi, a provider of risk, analytics and trading solutions, explores the challenges of bond analytics and how access to the right analytics can provide opportunities for more comprehensive trading strategies
Derivatives house of the year: JP Morgan
Risk Awards 2022: Big bet on AI is delivering results
Digital transformation and the future of GRC
This Risk.net survey report explores the impact of digitalisation on financial firms, and the changing strategies, resources and technology deployed by the governance, risk and compliance function
Data to anchor a new age of risk management
The growth of artificial intelligence and real-time compliance drives new requirements in data and analytics
Language barrier: quants slog to teach investing bots to read
Training models to interpret text can be dull; doing it badly can be costly
Moonshots and machines: can AI solve the problems of fincrime?
New technologies such as artificial intelligence (AI) and machine learning promise much in the battle against financial crime, but where are these solutions best deployed? A panel of anti-money laundering and analytics professionals convened for a Risk…
New breed of NLP model learns finance better, study finds
Models trained by looking at sentences beat conventional approaches that contextualise words
Quants see promise in Bayesian machine learning
Risk USA: probability theory may hold key to creating ‘self-aware’ AI
Scalability could trump complexity in machine learning debate
Risk USA: banks “on the precipice” of adopting more complex models, says Goldman exec