Data
Why Canada is giving FRTB internal models the cold shoulder
“Crazy” cost of tech upgrades among reasons why banks snub own models to calculate market risk capital
How AI can give banks an edge in bond trading
Machine learning expert Terry Benzschawel explains that bots are available to help dealers manage inventory and model markets
In search of clean data: firms navigate data challenges as LLM adoption flourishes
This WatersTechnology rapid read report explores the transformative potential of LLMs in financial services, offering insights into the evolution, challenges and positive impacts on decision-making processes in capital markets
BoE edges closer on FX settlement risk clarity
Central bank’s FX head says new survey will help to identify where risks may lie
Strategies for effective real-time data capture and robust risk management
Risk management systems, processes and real-time data aggregation techniques are rapidly evolving across financial institutions against a backdrop of high market volatility and rapid technological development
Repo clearing could spur CDM adoption – Barclays
UK bank’s tech group believes repo market is primed for new data standards
Leading-edge LLM approaches: predictive analytics for M&A targets
Utilising LLMs, LSEG’s StarMine Mergers and Acquisitions Target Model is transforming the landscape for M&A target predictions. LSEG’s Nelson Chin and Richard Goldman discuss the company’s ongoing innovation in data analytics
Degree of influence 2023: Quants thrive on volatility
Climate, crypto and market impact also featured among the top research topics in 2023
AI model uses quantum maths to learn like a human
Could the next big breakthrough in machine learning come from the world of finance?
Better tech brings threat of two-speed trading in fixed income
Smaller asset managers may get left behind as automation allows the big players to prosper
Can machine learning help predict recessions? Not really
Artificial intelligence models stumble on noisy data and lack of interpretability
FRTB managers face hard facts about risk factors
There are ways to reduce the capital charges caused by NMRFs, but they come at a price
Achieving net zero with carbon offsets: best practices and what to avoid
A survey by Risk.net and ION Commodities found that firms are wary of using carbon offsets in their net-zero strategies. While this is understandable, given the reputational risk of many offset projects, it is likely to be extremely difficult and more…
EU and UK to rework flawed identifiers for swaps transparency
European Commission and FCA both plan to consult on Mifir replacement for unpopular Isins
Opra outages cause consternation in options markets
UBS warned clients they were looking at “bad data” on options screens
Revolutionising credit decisioning in digital banking: harnessing AI/machine learning, LLM and alternative data sources
This webinar explores how financial institutions can leverage artificial intelligence, machine learning, large language models and alternative data sources, including open banking data, to modernise credit risk assessment and application fraud prevention
Maximum insecurity: banks tool up to meet cyber threat
Lenders confront “existential” threat of data leaks with bigger teams and better controls
How patchy liquidity is stymieing systematic credit
…and what investors like AllianceBernstein, Man Numeric and Acadian are doing about it
The tech revolution: equipping institutions for risk and regulatory challenges
Unveiling the impact of cloud technology and data analytics, empowering institutions to enhance their calculations and cut operational costs. Redirecting focus to critical business decision-making and profitability follows suit
Harnessing the power of data to optimise intraday liquidity management
Aaron Ayusa, director of client success at Baton Systems, explains the benefit of using data derived from real-time reconciliations to optimise intraday liquidity management
The power of data and analytics in driving sustainability initiatives
The challenges with current data approaches are data availability, reliability and transparency. It is, therefore, crucial to use data platforms and data mesh to enhance the process of obtaining accurate information, both for sustainability reporting and…