Big data
Seamless integration – Drivers of and barriers to cloud adoption
Siarhei Niaborski, executive vice-president of risk at CompatibL, discusses the rate of cloud adoption in the capital markets industry and its possible drivers and barriers, how firms can derive maximum value from cloud usage and the criteria on which…
Stress-testing to improve strategic decision‑making
Banking regulators remain focused on expanding and developing the range of stress-testing regimes across the globe to maintain stability, monitor emerging risks and avoid another financial crisis. Here, a forum of industry leaders discusses the evolution…
FVA – Time to go asymmetric?
Despite being introduced over six years ago, there is still no market consensus on how to calculate funding valuation adjustments. One point of contention is whether to use the same funding curve for borrowing and lending (symmetric funding) or to use…
Energy25: Energy firms turn to next-generation analytics
FIS, Enverus and Eka take to the podium in the inaugural Energy25 technology rankings
Harnessing AI to achieve Libor transition
Chris Dias, principal at KPMG, explains how the vast increase in accuracy that artificial intelligence (AI) offers when dealing with large volumes of complex agreements is crucial to exploring the market opportunities and mitigating the risks of the…
Risk Technology Awards 2019: Making machines more helpful
Machine learning can be too efficient; now, vendors are looking for ways to make it more accurate. Clive Davidson looks at the stories behind this year’s Risk Technology Awards
A tech-driven transformation
A panel of experts explores how greater collaboration between risk and finance teams can garner significant benefits and add value, how technological innovation is making the regulatory landscape more complicated to navigate and produce transformative…
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
From memos to texts, algos fish for signals in-house
Hedge funds turn to natural language tools to pry more value out of their analysts’ internal writings
Burden of implementing US sanctions now firmly on energy firms
Energy firms must now screen operations of every vessel they deal with, writes maritime data expert
Funds hunt for the real McCoy in alternative data jungle
Uncorrelated information is a rare species but there are other ways to make funky new data work
Life’s a breach: banks settle uncomfortably into GDPR
A year into exacting data privacy regulation, ramifications are becoming more tangible
The future of operational risk management
As the efficiency of operational risk management remains a top priority and pressure to maximise value increases, emerging technology could prove crucial. Nitish Idnani, leader of oprisk management services at Deloitte, explores how the oprisk management…
Credit data: UK banks hold firm as Brexit looms
The credit status of UK banks remains unchanged, but other industries have seen significant deterioration
Top 10 op risks 2019: data compromise
Big data provides big target for hackers, as banks wrestle with risk of monetary and reputational loss
Banks use machine learning to ‘augment’ corporate sales
Big banks are embarking on massive projects to tie up machine learning and big data to sell better to clients
Honesty is key to machine learning’s future – Roberts
Oxford-Man Institute director on why tomorrow’s models will gracefully admit defeat
Quants say big data is all buzz, no alpha
Efforts to extract alpha from alternative data have been “really unsuccessful”, says Domeyard’s Qi
Quants use AI to cut through murk of ‘sustainability’
Separating the wheat from the chaff is fundamental to ESG investing. Machine learning can do that
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…