Data
Regulatory big data – The costs and challenges of better supervision
Webinar: Moody's Analytics
Swaps data: forex options – candidate for a clearing mandate?
Volume stats reveal a large vanilla market and much smaller trade in barriers
Digitally adapting to regulatory change
Winners' Circle Q&A: Structured Products Europe Awards 2017 | BNP Paribas
Quants find hidden currency risk in domestic stocks
Pure exposure to home equities harder to isolate than previously thought, new paper says
Quant funds look past the obvious for uses of alternative data
Many systematic investors are sceptical but a few are finding ways to make new data work
DTCC muscles in on FRTB data pooling race
Rival to Bloomberg and Markit offerings claims ability to squash banks’ NMRF exposure by 50%
Monthly swaps data review: credit volumes peak in June
Global cleared credit derivatives volumes reached $1 trillion before ebbing in July
Heads in the cloud: banks inch closer to cloud take-up
Regulatory guidance helps clear the way for greater adoption of cloud computing
Bank of the West’s Pollino on being loud about insider fraud
Cyber-security officer applies ‘broken windows’ theory to financial fraud prevention
Regulators split on Mifid swaps transparency
Esma and FCA divided over when participants must determine whether derivatives are trading on-venue
Rethinking risk management in the age of cognitive computing
Content provided by IBM
Falling margins force energy firms to expand data use
Verification and model challenges arise as volatility and margins dry up
‘Boiling the ocean’: GDPR data demands overwhelm banks
Repapering of existing contracts could stretch beyond May 2018, forcing dealers to rely on regulatory forbearance
A proven technology and exceptional service
Sponsored Q&A: NEX Regulatory Reporting
Cognitive computing and data challenges: Q&A with IBM's Diane Reynolds
Content provided by IBM
A new way forward: The impact of cognitive technology on the investment management industry
Content provided by IBM
Banks move to model smaller op risk losses
Credit Suisse is using scenario analysis to model the risks associated with internal fraud losses
OCC warns on cyber risks from subpar patches at US banks
Regulator says banks have good track record overall, but exams reveal weaknesses
Quants head for the shop floor
Demand for technical skills is growing, but roles have changed – and some schools are not keeping up
Is your data quality a risk?
Content provided by IBM
Cloud computing and Solvency II
Content provided by IBM
Meeting the daunting demand for data
Sponsored feature: Wolters Kluwer
Banks diving into credit data pools as official support grows
European regulators embrace external data for internal modelling of credit risk capital
Does higher-frequency data always help to predict longer-horizon volatility?
This paper shows that realized conditional autocorrelation in return residuals is a strong predictor of the relative performance of different frequency models of volatility.