Historical data
Fuzzy data stalls ESG alpha hunt
Quants searching for ESG signals have reached very different conclusions. Mostly they blame the data
Signing the Libor fallback protocol: a cautionary tale
As Orwell’s Room 101 beckons for Libor publication, muRisQ Advisory’s Marc Henrard warns of a potential pitfall in the fallback protocol
Cat risk: why forecasting climate change is a disaster
Forecasters are poles apart on climate-driven catastrophes; insurers fear worse ahead
EU banks grapple with NMRF proposals for volatility models
EBA options for lighter capital treatment of parametric curves could prove impractical
The future of emerging markets – 30 years on from the launch of the MSCI Emerging Markets Index
For the past 30 years, emerging markets have provided return enhancement and risk diversification opportunities for global equity investors. The opening of the domestic Chinese capital market and its integration into international markets is likely to…
Evaluating the impact of Libor fallback
The planned discontinuation of Libor and other interbank offer rates (Ibors) in 2022 will affect a large number of existing financial contracts based on these benchmarks. According to some estimates, Libor-based contracts – such as interest rate swaps,…
A helping hand – Addressing industry concerns
The Basel Committee on Banking Supervision’s final revisions to the FRTB guidelines aim to address industry concerns around complexity and capital implications. A forum of industry leaders discusses whether the changes have been effective and how banks…
All along the watchtower – Surveillance tools against market abuse
Surveillance tools against market abuse are enjoying a technological revolution in analytics, while anxious supervisors are also closing in on market practices. Risk.net hosted a webinar in association with NICE Actimize to analyse the threats and…
Top 10 operational risks for 2019
The biggest op risks for 2019, as chosen by industry practitioners
The utility of Basel III rules on excessive violations of internal risk models
In this paper, the author looks at the efficacy of risk measures on energy markets and across several different stock market indexes, and calculates both the value-at-risk (VaR) and the expected shortfall (ES) on each of these data sets as well as on…
Blazing new analytical paths: Tackling data aggregation for new risk insights
As the risk function’s influence continues to grow within financial services firms, demand for quality integrated risk data to support a wider range of business-critical decisions is stretching the capabilities of existing technology to breaking point. A…
Risk Markets Technology Awards 2019: Vendors enter the pick-and-mix era
Modular tech and micro-services – plus new risk and regulatory needs – are creating openings for insurgents and incumbents
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…
Risk.net podcast: DTCC’s Lind on FRTB, data pooling and NMRFs
As many as 70 banks globally could adopt internal model approach for market risk capital
A call to arms – How machine intelligence can help banks beat financial crime
The revolution in artificial intelligence promises new leads in banks’ fight against dirty money. Alexander Campbell of Risk.net hosted a live online forum, in association with NICE Actimize, to investigate the applications of this emergent technology
Libor transition calls for modelling overhaul, quants warn
All pricing, risk and valuation models will need to be changed to reflect the new rate
Seeing red: EU banks swamped by stress test demands
Banks’ stress test submissions receiving tens of thousands of error messages from local supervisors
Global fragmentation looms in FRTB data pooling stand-off
Smaller banks unwilling to hand over localised trade information to data utilities
Indexer looks to tap quant fund demand for big data
MSCI’s historical real-time data could be used in backtesting strategies, pricing exotic options