Data
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…
Behavioural analytics: data trend has asset managers looking inwards
Vanguard and others are building tools that “nudge” investors to make better investment decisions
Identity verification solutions 2023: market and vendor landscape
This report analyses the current identity verification solutions landscape and examines the key market trends, regulatory drivers and vendor strategies shaping it
JPM’s new EU arm is bloc’s 4th largest derivatives bank
Frankfurt-based dealer eclipsed homegrown G-Sibs in 2022 on several indicators
Social distancing: quantifying the ‘S’ in ESG
The ‘social’ pillar of ESG has been the poor relation in terms of data – until now
Fleeting volatility vexes trend followers
Jumpy markets give quant firms the jitters as tried-and-tested strategies struggle in 2023
Approaching menace: how financial firms are tackling emerging risks
Exploring the changing shape of emerging risks and how integrated risk management is helping companies to meet the challenges head-on
Wholesale credit modelling software of the year: Moody’s Analytics
Moody’s Analytics has won Wholesale credit modelling software of the year at the Risk Technology Awards 2023 thanks to its excellent credit scoring models and solutions that address the diverse requirements of the wholesale market
Mounting pressure to capture real-time exposures spurs data aggregation efforts
A range of market factors and technological advances is driving the need for real-time data and analytics, and persuading firms to move away from their risk management infrastructures. In a recent Risk Live panel session sponsored by KWA Analytics,…
Does the term structure of the at-the-money skew really follow a power law?
A power law can fit the ATM skew, but struggles with short maturities
Op Risk Benchmarking: Inside the G-Sibs
New initiative scrutinises op risk measurement and management practices at the world’s largest banks
Default forecasting based on a novel group feature selection method for imbalanced data
The authors construct a group feature selection method which combines optimal instance selection with weighted comprehensive precision in an effort to improve the performance of prediction models in relation to defaulting firms.
SEB’s wholesale funding doubles following reporting error
Front-loading of 2023 funding plan contributes to Skr500 billion increase in H1
Banks begin tackling climate stress tests of trading books
Market risk professionals see major shortcomings in available scenarios
Relief (and some regret) as EU scales back swaps transparency
Leaked document outlines plans to narrow scope of dysfunctional OTC disclosure regime
EU’s late CDS transparency push triggers trader fears
Leaked proposal to shoehorn public disclosure of CDS into Mifir placates Esma, but alarms traders