Big data
From use cases to a big data benchmarking framework in clearing houses and exchanges
In this paper, we propose a conceptual framework that links the technical and business benchmarks in the domain of clearing houses and securities exchanges.
DBS chief executive on fighting tech disruptors with data
Asia Risk 25: Data and AI are top technology priorities for Singapore bank, says Piyush Gupta
IFRS 9 product of the year: AxiomSL
Asia Risk Technology Awards 2020
Science friction: some tire of waiting for quantum’s leap
Use cases for new tech are piling up – from CVA to VAR. But so are the obstacles
Study suggests banks may be better off with simpler VAR models
Non-parametric VAR models perform well in calm markets, but miss the mark in volatile periods
Managing AML and fraud – A risky business needs a risk-based approach
Financial services organisations (FSOs) are expected to meet strict financial crime regulations regardless of their size, and those with smaller budgets and fewer resources are finding this increasingly difficult as regulations, guidelines and threats…
Operational risk – Unleashing the power of AI to mitigate financial crime and manage conduct risk
Big data, data mining, machine learning and artificial intelligence have revolutionised how industry manages and mitigates risk. In light of the Covid-19 pandemic, what impact has this had on financial crime, what risks does remote working pose and how…
To model the real world, quants turn to synthetic data
Future financial models will be built using artificially generated data
A sea change – Driving awareness to confront climate risk
Amid a global push towards green policies, the reality of overhauling how industries worth trillions of dollars operate is causing concern. A forum of market participants and sponsors of this report discuss the levels of awareness of climate risk and its…
Alt data lends a different light to coronavirus impact
Smog, traffic data – even movie rentals – help analysts track economic effects of virus
Top 10 op risks 2020: regulatory risk
New technology and reams of red tape make non-compliance fines more likely
Top 10 op risks 2020: theft and fraud
From mega loan fraud to canteen theft, the danger is ever present
Treasurers turn to AI in bid for sharper forecasting
Wider automation could usher in future of ‘hands-free hedging’, but obstacles lurk in data standards and sharing
Risk Markets Technology Awards 2020: The devil in the data
Banks are trying to do more with data, but they can’t always do it alone
Research house of the year: UBS
Risk Awards 2020: Swiss bank pushing its analysts to be more like scientists
Robo-raters help banks vet vendors for cyber risk
Specialists tout service for monitoring third parties amid tougher rules on outsourcing risk
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
