Data
Resented elsewhere, Mifid finds love at Esma
Huge cache of data helped Esma spot market abuse and inform policy, head of market data policy says
Model risk management transformation
Financial institutions have been maturing their approaches to MRM and – as models become more complex and pervasive, and regulatory expectations continue to increase – leading financial institutions seek faster and further movement. Ashutosh Nawani, head…
Isda backs regulatory push on derivatives data project
Risk Live: Common standards for trade reporting should be mandatory, argues senior industry representative
One size does not fit all – Adapting to meet investment goals
Guillaume Arnaud, global head of quantitative investment strategies (QIS), and Sandrine Ungari, head of cross-asset quantitative research at Societe Generale, explore the benefits of QIS for investors, why flexibility is crucial for investors to meet…
Video: BP Energy Company's CRO on data and the impact of new fundamentals
Profound changes in energy market fundamentals are making historical data less and less useful, says Gary Taylor
Risk premia strategies – Lessons learned for the future
After a difficult 2018, investors are increasingly wary of risk premia, concerned that factors leading to underperformance might be a recurring problem. Imene Moussa, executive director at UBS, clarifies this issue
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…
Libor will not transition quietly – What you need to know now
Liang Wu, vice-president of financial engineering and head of CrossAsset product management at Numerix, discusses the scope of the transition from Libor to alternative reference rates – also known as risk-free rates (RFRs), including their…
Artificial intelligence – Genuinely unintelligent without high-quality data
For over 10 years, Refinitiv has transformed unstructured content into high-quality, machine-readable data because even the smallest error can cause artificial intelligence massive problems.