Data
Esma sounds out industry for ways to cut reporting burden
Markets watchdog asks consultative groups for ideas to simplify reporting rules
Data and analytics firm of the year: LSEG Data & Analytics
Energy Risk Awards 2025: Firm’s vast datasets and unique analytics deliver actionable insights into energy transition trends
Hedging advisory firm of the year: AEGIS Hedging
Energy Risk Awards 2025: Advisory firm’s advanced tech offers clients enhanced clarity in volatile times
Did fintech loans default more during the Covid-19 pandemic? Were fintech firms “cream-skimming” the best borrowers?
The authors propose a model which can be used to identify the "invisible prime" consumers from the nonprime pool for fintech loans.
Gaussian GenAI: synthetic market data generation
A method to generate financial time series with mixture models is presented
Eyes on automation as FX options volumes surge
Dealers and trading platforms are making gradual progress to electronify foreign exchange options pricing and workflows
APG upbeat on sustainability derivatives despite setbacks
Isda AGM: Dutch pension fund manager’s chief executive believes instruments have room to grow
Evalueserve tames GenAI to boost client’s cyber underwriting
Firm’s insurance client adopts machine learning to interrogate risk posed by hackers
OCC’s security chief on generative AI with guardrails
Clearing house looks to scale technology across risk and data operations – but safety is still the watchword
EU edges closer to calming FRTB fund-linked fray
Dealers say temporary solution is a step in the right direction but won’t fully resolve all issues
TCA vendors link FX counterparty selection with execution
Services from BestX and Tradefeedr aim to automate the pre-trade and execution process
Trading desks want regulators to face down the NMRF monster
Rule-makers in Australia and the European Union are open to changes to the unpopular FRTB test
Adapting FRTB strategies across Apac markets
As Apac banks face FRTB deadlines, MSCI explores the insights from early adopters that can help them align with requirements
Inside the company that helped build China’s equity options market
Fintech firm Bachelier Technology on the challenges of creating a trading platform for China’s unique OTC derivatives market
Configuration and control: next-level risk analytics for alternative assets
The evolving needs of traditional and alternative asset industries
Start planning for post-quantum risks now
Next-gen quantum computers will require all financial firms to replace the cryptography that underpins cyber defences, writes fintech expert
Regis-TR and the Emir Refit blame game
Reporting overhaul was marred by problems at repositories, prompting calls to stagger future go-live dates
Revolutionising compliance: next-gen technology for new-age regulation
A whitepaper exploring prevailing compliance challenges and the implications of regulatory changes on data and reporting technology
Doubts raised over new FX platform disclosures
New disclosure sheet template will require platforms to outline how they charge for data
Revolutionising credit surveillance: part two
Does GenAI live up to the hype? How prioritising AI and digitisation projects reveals data as the power behind AI initiatives
Soft information in financial distress prediction: evidence of textual features in annual reports from Chinese listed companies
The authors use textual data in a model to predict financial distress, demonstrating that this can enhance prediction outcome versus traditional financial data alone.
Assessing the efficiency of pure-play internet banks in South Korea, Japan and China with data envelopment analysis
The authors investigate the efficiency of pure-play internet banks in China, Japan and South Korea, recommending they focus on the management of noninterest expenses and income to ensure stable profts.
Pricing and reference data in the cloud: fuelling opportunity today
A cloud-based security master can transform data management, analytics, automation and innovation across the enterprise
A method of classifying imbalanced credit data based on the AC-CTGAN hybrid sampling algorithm
The authors put forward a novel method with which to identify risk in consumer credit data and demonstrate its enhanced generalization ability compared to commonly used methods.