Data
Vendors lack silver bullet for FRTB’s fund-linked issue
EU and UK legislators tried to ease capital charge by leaning on vendors, but problems persist
How steepener trades burned hedge funds, and what happened next
Delays to central bank rate cuts torpedo popular trade, causing funds to pull capital – to the chagrin of sell-side desks
US banks seek to open vendors’ black box on green data
Inaugural Fed climate scenario analysis flags lack of transparency around third-party models
Banks must break data silos to improve pricing decisions
Data consistency is increasingly key to judging risk and reacting quickly in a crisis, writes former XVA practitioner
Why FRTB models are on the edge of extinction
With only four banks known to be applying to use internal models for market risk, the fate of advanced modelling looks precarious
FRTB data-quality issues persist amid shifting start dates
Even the standardised approach poses tricky market and reference data challenges
UK supervisor rejects concerns over reg reporting burden
FCA official says data from new requirements doesn’t go into “black hole” but supports risk monitoring
FX automation plans focus on predictive analytics – panel
Panellists suggest banks could explore AI tools for foreign exchange pricing
Hedge fund’s bots hunt for ‘non-linear’ trade signals
Boutique investment firm Goose Hollow uses LLMs to scrape thousands of news sources, searching for links that others miss
As legal letters fly, Cusip licensing debate rolls on
Cusip Global Services’ licensing agreements with third-party data providers sit at the heart of an antitrust case in New York
Banks, vendors mine AI for corporate FX hedging
New machine learning algos can help corporate clients adjust hedging ratios, but tech’s effectiveness is limited by data quality, experts caution
Price sensitive: maximising value from IPV data and valuation control
A webinar assessing the changing demands of IPV and valuation control as part of a robust risk management strategy, and how banks can ensure data quality and compliance in the future
FXSpotStream looks to growth products beyond spot
New chief exec Jeff Ward highlights NDFs and FX swaps as next boom area for the venue
Execs can game sentiment engines, but can they fool LLMs?
Quants are firing up large language models to cut through corporate blather
Default prediction based on a locally weighted dynamic ensemble model for imbalanced data
The authors put forward a locally weighted dynamic ensemble model which can predict financial institutions' default statues five years ahed.
How banks are adapting to all-powerful pod funds
Growth of multi-manager funds such as Citadel, Millennium and Balyasny has forced dealers to switch tactics in attempt to preserve profits
Harsh judgements: why Stateside lenders are upping the Q-factor
As CRE stalls, qualitative adjustments are forming a larger part of US banks’ credit risk allowances
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
Joining the dots: banks leverage tech advancements for the future of regulatory reporting
The continued evolution of regulatory frameworks is creating mounting challenges for capital markets firms in achieving comprehensive and cost-effectiveawa compliance reporting. Regnology discusses how firms are starting to use a synthesis of emerging…
Real-time and historical market data: priorities, preferences and the cloud
This paper, commissioned by LSEG, focuses on firms’ current market data priorities, the asset classes and geographies they are looking to focus on in the near future, and the benefits they can expect by moving their historical market data storage and…
Tall order: why a unified op risk taxonomy is still elusive
Banks vary in how they classify operational risk losses – and regulators are in no rush to change the status quo
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
Information security: too important to leave to the experts?
Holding a trove of sensitive data, FMIs seek greater safety through shared oversight and smarter reporting