Artificial intelligence
Op risk data: EFG takes a bath for two decades of money laundering
Also: Deepfake voice clone cons Intesa division; key couple of cryptocurrency hacks. Data by ORX News
An agentic bank? Not so fast
With no clear definition or way to gauge ROI, claims of AI adoption should be taken with a pinch of salt
How Quoniam boosted its sentiment strategy by adding an LLM
Upgraded system creates scores from more-informative forward-looking parts of news
AI bond deluge tests credit market’s appetite
Credit strategists say multi-year, poorly telegraphed AI issuance strains investor portfolios
From Navier-Stokes to manuscripts by the kilo: AI’s impact on quant research
As AI produces results in bulk, finance needs trusted ways to assess provenance, reliability and significance
BIS’s Hernández de Cos on AI, non-bank risk and tokenisation
General manager talks about how the BIS is navigating a complex global environment
How AI is reshaping enterprise risk
A more connected and timely view of risk is becoming increasingly important to ERM, while agentic AI is reshaping how firms approach risk
Intraday pricing: fixed income’s next frontier
With firms looking to price fixed income securities on an intraday basis, specialist pricing providers such as LSEG help address cost, complexity and time-to-market challenges
Agentic risk management could arrive ‘sooner than we think’
Risk Live: Models are capable, but banks lack platform and governance to safely run agentic systems
Asian dealers may be more exposed than US in AI selloff scenario
Prime brokers face regional counterparty risk from huge flows in leveraged ETFs, say risk managers
Continuous verification holds key to keeping AI on track
Decision-by-decision testing will help users trust AI judgement calls
What happens when AI gets good at your risk management job?
Risk executive Alex Golbin asks how to build a valuable career in risk as agentic AI takes on more analysis
The programmatic shift: how APIs, embedded FX and AI will redefine FX distribution
FX is shifting from standalone platforms to embedded, API-driven and embedded execution workflows
Beyond the black box: interpretability of LLMs in finance
Mechanistic interpretability identifies and locates modifications in computational mechanisms
Identifying supply chain credit risk in China’s textile industry using an ensemble explainable artificial intelligence model
The authors focus on data mining of financial credit risk information and knowledge in the supply chain from the perspective of explainable artificial intelligence to address credit risk identification in supply chain enterprises.
Why AI agents are like staff you can’t trust
Uncertainty implicit in GenAI systems means risk managers have to take a more adversarial approach
Risk managers go softly-softly on AI adoption
ERM teams still in testing mode for most AI use cases, latest Risk Benchmarking study shows
As LLMs spread, quants confront ‘lexical risk’
Users are finding the uncertainty in GenAI models is hard to measure
A hybrid value-at-risk/estimated shortfall model: linking accuracy, calibration and explanation stability across horizons
In an effort to close the gap between predictive performance and auditability in hybrid risk models the authors put forward an auditable hybrid quantile framework that anchors nonlinear gradient boosting corrections to a linear heterogeneous…
BNP Paribas outlines path for FICC algos, SDP and AI projects
After taking on new Cortex and AI roles, BNPP’s Razaq sets out the bank’s expansion plans and new tech projects
From cost centre to growth engine: hard ROI, client trust and the future of CLM in Apac
How Apac banks can move beyond the ‘AI illusion’ to unlock hard ROI