Credit risk
Investors cheer Fed guidance on bank credit risk transfers
Institutions say clarification of regulations could jump-start US market
Managing credit risk in uncertain environments
Following three years of disruption caused by the Covid-19 pandemic, senior risk managers, risk management consultants and CROs from the banking and insurance industries gathered in Singapore for Asia Risk’s CRO Club roundtable
Bankers say CRE market on safe ground – for now
Risk Live: But higher rates may threaten weaker properties
US banks ditch IR futures as appetite for swaps booms
Notional for futures craters 19% in Q2, hitting lowest in at least seven years
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
RBC’s credit derivatives book grows fourfold on market-making push
Notionals of credit protection sold and purchased have ballooned 236% and 382% respectively since October 2022
Estimating the impact of climate change on credit risk
The author investigates the relationship between climate change and credit risk characteristics of individual obligors and portfolios of credit obligations.
Europe’s lenders sail into uncharted waters of the banking book
Regulators are pushing banks to map their credit spread risk. Here be dragons?
Market eyes emerging market CDS index expansion
Participants hope changes will help transform single-name volumes into greater index activity
RBC’s loan-underwriting VAR drops 59% as volumes dry up
Widening credit spreads had previously sent market risk on syndicated loans skyrocketing
US Basel endgame hits clearing with op risk capital charges
Dealers also fret about unlevel playing field compared with requirements in the EU
Impaired loans surpass pandemic peaks at CIBC, Scotiabank
At five Canadian banks, troubled loans up 40% year-on-year
ECB mulls intervention on uneven banking book reporting
Inconsistency among EU banks on whether deposits and loans are in scope for credit spread risk
Iosco warns of leveraged loan ‘vulnerabilities’
As recovery rates plummet, report calls for clearer covenants and more transparency on addbacks
How Chenavari is adapting to an uncertain macro regime
Talking Heads 2023: Fund chief Loic Fery eyes rebalancing between public and private credit strategies
The Fed’s stress-test models are inaccurate. Something has to change
First step for US regulator to improve its bank loss forecasts would be to open up its models to public scrutiny, argue two banking industry advocates
UBS leapfrogs global peers following Credit Suisse takeover
Swiss lender reports big increases in RWAs, leverage exposures and other key metrics
US banks see net charge-offs up 21% in Q2
Synchrony and Discover lead rise, predicting rates might peak in 2024
Goldman most threatened by Fed’s rejig of modelled capital charges
End of credit risk modelling and scaling up of SCB’s role could tip six US banks below minimum requirements
Navigating market turmoil with robust credit risk management
In today's fast-paced and ever-evolving financial world, firms must master credit risk management to navigate market volatility. This webinar explores the dynamics of credit risk management and offers insight into risk assessment techniques, challenges…
Understanding and predicting systemic corporate distress: a machine-learning approach
The authors construct a machine-learning-based early-warning system to predict, one year in advance, risks of systemic distress and demonstrate factors which can predict corporate distress.
Like your CSA dirty? It’ll cost more
Buy-side firms have to pay up if they want to post corporate bonds to their dealers, but prices vary
Banks slam zombie floors in Basel endgame proposal
US regulators double down on capital floors despite clampdown on internal models
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.