Artificial intelligence
The impact of emerging risk on credit portfolio management
Bank credit portfolio managers are increasingly finding that non-financial risks, such as cyber risk and climate risk, are falling under the remit of credit portfolio management (CPM). This will also be impacted by the upcoming Basel III Final Reforms,…

AI in sheep’s clothing? Wolfe Research develops finance chatbot
Bot is trained in financial and ESG data, but won’t replace humans – yet – says firm

BoE model risk rule may drive real-time monitoring of AI
New rule requires banks to rerun performance tests on models that recalibrate dynamically

Citi cyber chief says AI providing new weapons in hacking wars
Barron-DiCamillo also urges regulators to work with industry best practice, not against it
Banks’ internal watchdogs bark back at ChatGPT
Generative AI has plenty of uses in finance, but banks must first overcome compliance headaches
The chatbot and the quant: GPT shakes finance education
With smarter large language models, quant grads risk turning into AI-assisted slackers, writes Gordon Lee
FCA may offer its market data to surveillance tech start-ups
Risk Live: Regulator concerned rapid AI adoption will favour incumbent vendors; aims to launch sandbox
RBC eyes AI to bolster FX and rates algos
Canadian bank plans to take deep reinforcement learning tech from equities to fixed income and currencies
Model risk management is evolving: regulation, volatility, machine learning and AI
Thomas Oliver, head of model validation at Quantifi, explores how the model risk management (MRM) landscape is changing in response to geopolitical uncertainty, increased concerns over counterparty risk, rising interest rates and other related challenges
BloombergGPT: Terminal giant enters the LLM race
New large language model aims to supercharge Terminal’s ability to provide sentiment, charting and search
Dynamic class-imbalanced financial distress prediction based on case-based reasoning integrated with time weighting and resampling
The authors put forward a dynamic class-imbalanced CBR FDP model which is shown, using data from Chinese listed companies, to outperform static and dynamic CBR FDP models without resampling or time weighting.
OK regulator? How AI became respectable for AML controls
Dutch court case pressures supervisors to accept new tech; explainability the key challenge
The haves and the ‘have bots’: can AI give vol forecasters an edge?
Firms look to machine learning and natural language processing to gain advantage over peers
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
Operational risk management solution: MetricStream
Asia Risk Awards 2022
AML solution of the year: Napier Technologies
Asia Risk Awards 2022
Fraud prevention solution of the year: Quantexa
Asia Risk Awards 2022
Best AI or machine learning innovation: Quantifi
Asia Risk Awards 2022
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