Risk factors
Building forward-looking scenarios: why you’re doing it wrong
Rick Bookstaber and colleagues describe a process for constructing effective scenarios
How algos are helping inflation-wary investors
Buy-siders look to machine learning for clues on the effect of rising prices on portfolios
Deep XVAs and the promise of super-fast pricing
Intelligent robots can value complex derivatives in minutes rather than hours
Goldman inks modelling, data tie-up with MSCI
Move to cross-sell risk analytics could herald further content deals for bank’s Marquee platform, says sales chief
Solving final value problems with deep learning
Pricing vanilla and exotic options with a deep learning approach for PDEs
Approaching the endgame – What’s left for completing Libor transition?
Philip Whitehurst, head of service development, rates at LCH, discusses the International Swaps and Derivatives Association’s 2020 Ibor fallbacks protocol, its relevance for cleared swaps, remaining transition steps and major developments to look out for…
Indexed for growth – The democratisation of thematic indexes
Simon Karaban, head of index services at Singapore Exchange, talks about environmental, social and governance indexes and how the emergence of exchange-traded funds and wealth platforms is democratising thematic indexes, making them more accessible to…
Covid scenarios, pt II: apocalypse how?
Second crowdsourced scenario exercise reveals polarised views in equities and FX
EBA relaxes modellability hurdles for market risk capital
Flexibility granted for assessing NMRFs on options, but constraints remain on committed quotes
The Fundamentals of market risk rules
With the 2022 Fundamental Review of the Trading Book (FRTB) deadline looming, banks are fast coming to grips with the amount of work still to be done to achieve a successful implementation
Competitive differentiation – Reaping the benefits of XVA centralisation
A forum of industry leaders discusses the latest developments in XVA and the strategic, operational and technological challenges of derivatives valuation in today’s environment, including the key considerations for banks looking to move to a standardised…
FRTB costs force banks to weigh IMA desk by desk
Risk USA: Some desks “may not be able to pass these more rigorous standards”, says Morgan Stanley FRTB lead
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…
2022 – A market risk odyssey
Though January’s final version of FRTB offered no great surprises to those who have followed the regulation since its inception, banks now have a greater idea of what is required of them. Bloomberg explores the importance for banks to have FRTB…
Risk and finance – Better together
Changing regulations and new accounting standards are creating enormous challenges for financial organisations. Thorsten Hein, principal product marketing manager, risk research and quantitative solutions at SAS, explores why, to successfully meet these…
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…
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…
Turning the IMA into a competitive advantage
Following the clarification of the FRTB rules in January 2019, financial institutions are now working towards a 2022 implementation deadline, finalising how their trading books will operate under this demanding regulation. Eoin Ó Ceallacháin, head of…
Cleaning noisy data ‘almost 70%’ of machine learning labour
Quants flag signal-to-noise ratio as key to reducing overfitting risk
FRTB: Singapore’s banks eye internal models for forex desks
New market risk regime dangles capital savings for own-models approach
Natixis creates model to ‘learn’ how factors interact
Random forest technique sheds light on flux in how factors mix, manager says