Artificial intelligence
The evolution of trading risk and the return to volatility
Risk managers are grappling with the complexities of today’s financial markets, tackling what seems to be a never-ending stream of crises, exacerbated by surging interest rates and widening credit spreads. In a recent Risk Live North America panel…
Can machine learning help predict recessions? Not really
Artificial intelligence models stumble on noisy data and lack of interpretability
AI in risk management: one giant leap forward or a risk too far?
As technology advances at lightning speed, AI brings its own, not inconsiderable, risks. How, then, are today’s risk managers using AI tools to their best advantage – and what threats do they face along the way? In a Risk.net webinar, sponsored by FIS,…
S&P Global Market Intelligence RatingsDirect® leverages AI for more precise insights in volatile markets
Zoi Fletcher speaks to Clemens Thym, S&P Global Market Intelligence, about how his team is enhancing RatingsDirect® with AI and adding value with ratings research
Generative AI is changing debate on explainability, says Deutsche
Innovation head says observability can aid regulatory acceptance
Navigating the adoption of generative AI
This white paper, created by Xoriant, focuses on generative artificial intelligence (AI) and its potential to transform the way financial services firms operate, make business decisions and innovate.
JP Morgan pulls plug on deep learning model for FX algos
US bank turns to less complex models that are easier to explain to clients
FCA warns on third-party risk management for AI projects
UK regulator keeping close eye on use of cloud and vendor partnerships to develop new models
Empowering risk management with AI
This webinar explores how artificial intelligence (AI) can strip out the overheads and effort of rapidly modelling, monitoring and mitigating risk
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. This will also be impacted by the upcoming Basel III Final Reforms, which…
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
Raising the bar on operational resilience
The FCA's operational resilience guidelines set clear expectations for how financial firms should strengthen their resilience against operational disruptions. But how are firms faring in meeting these goals?
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
Cloud control: optimising cloud for risk management gains
Cloud adoption has accelerated rapidly among capital markets participants in recent years. This Risk.net webinar explores how firms can optimise their usage of cloud, driving greater efficiency, avoiding common pitfalls and keeping costs to a minimum
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