Modelling
Modelling interrelated shocks will improve stress tests – research
Call for regulators to ditch standard scenarios for more sensitive approach
Model risk chiefs warn on machine learning bias
ML model outputs open to “potential bias sitting in your datasets”, says RBS model risk head
Valuation model risk on the rise at EU banks
Over two-thirds of fair value assets priced using banks' models
HSBC hires new head of model validation
Bank appoints Credit Suisse veteran to key role
Profit emergence under IFRS 17
Major changes are expected under the new IFRS 17 regime – insurance companies must make efforts to comprehend and communicate the full impact of changes to profit emergence under different scenarios, and its sensitivity to different methodology choices,…
New directions – Diversification of alternative risk premia strategies
Despite a difficult year, investors remain keen to use alternative risk premia strategies. However, current approaches may be less diversified than they appear, especially given cross-contamination in cash equity factors. According to Nomura, a more…
BNPP, Credit Suisse, State Street incur VAR breaches
BNP Paribas capital multiplier increases on seventh breach in nine months
The disputed terrain of model risk scoring
There is no concord on how banks should police their model risk. But two Fed economists have an idea
Choosing the right model for non-cleared OTC margining
When the final phase of the swaps market’s new margining regime takes effect in 2020, hundreds – possibly thousands – of buy-side firms will be hit by complex margin requirements.
How to apply Python to complex financial markets
The unprecedented proliferation of data in derivatives markets has led to a rise in popularity of Python, a multipurpose programming language known for its versatility and flexibility. Undoubtedly, the increased adoption of Python has helped enable…
Banks split on human oversight of AI models
Risk USA: Most firms supervise their models, but one expert says they can be trusted to make decisions
Humans struggle to keep pace with machine learning
Banks and regulators grapple with ‘XAI’ challenge
Machine learning hits explainability barrier
Banks hire AI industry experts in face of growing regulatory scrutiny
Trading costs versus arrival price – An intuitive and comprehensive methodology
Craig Niven, managing director, cash equity execution at Societe Generale Prime Services explores how a five‑month study allowed the organisation to develop a market impact model using historical data, and why it is key for clients in the long term to…
Python – Is the buzz justified?
Python is rapidly becoming the world’s most popular programming language and its versatility and ease of use has enabled it to achieve widespread adoption in finance, becoming the multipurpose tool of choice for quantitative analysts and other financial…
Compliance preparations amid uncertain rules
A forum of industry leaders discusses how banks will define individual trading desks under FRTB, whether BCBS 239 compliance projects can help banks meet FRTB risk data challenges, which model validation obstacles banks still face and other key topics
Quant drought hits banks and funds in Asia
Limited pool of talent hindering expansion of sophisticated strategies across buy and sell side
Banks scan chat and web for trading intel
Market-makers seek new signals on volatility and direction via natural language processing
Embracing the sea change to come with FRTB
Firms have until 2021 to implement FRTB, and those yet to begin compliance efforts risk putting themselves at a disadvantage. EY‘s financial services risk partners Shaun Abueita and Sonja Koerner explore the current level of readiness within the industry…
