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Podcast: McClelland on why you need a good MVA model
Numerix quant presents a model aimed at showing the total cost of a trade
Fishing for collateral with neural nets
SocGen quant uses deep learning technique to optimise collateral substitution
No forward-looking rates? No problem
A commonly used quant model could be the answer to the replacement of forward-looking Libor
Podcast: Gregory and Chung on wrong-way risk modelling
Quants discuss a better way to model wrong-way risk
Podcast: Hans Buehler on deep hedging and harnessing data
Quant says a new machine learning technique could change the way banks hedge derivatives
Podcast: Venturelli and Kondratyev on quantum annealing
Authors show how quantum theory could aid portfolio construction
Podcast: Hong on quanto derivatives and Asia’s quant drought
Credit Suisse quant talks about new paper on valuing quanto options
SA-CCR may need more fundamental fixes
Quants propose tweaks to improve Basel counterparty credit risk framework
Podcast: Mathieu Rosenbaum on the rough Heston model
Combination of rough volatility and the classical Heston model gives promising results
Will the Nasdaq default spur CVA for CCPs?
Quant proposes model to calculate bank credit risk exposure to CCP
Podcast: Mercurio and Henrard on the impact of Libor reform
Some derivatives products will become more complex if there are no forward rates, say quants
Could machine learning improve CVA and IM calculations?
Banks have built ways to calculate CVA more quickly, but neural networks could offer more accurate method
Podcast: Princeton’s Carmona on the future of quant education
Course director discusses machine learning explainability and reclaiming game theory from economists
Calling out autocallable pricing
Quants show popular autocallable pricing technique has a flaw that has been ignored until now
Podcast: Kenyon and Berrahoui on the pitfalls of PFE
Quants propose replacement to existing credit risk measure
Degree of influence: are machines starting to learn finance?
This year's analysis recognises a turning point in machine learning applications
You don’t need to sacrifice accuracy for flexibility
BAML quant proposes option pricing model that softens conflict between the two properties
Doing well by doing good
Drug approval swaps and megafunds can channel capital towards world’s greatest problems, writes MIT’s Lo
Podcast: Dominique Bang on his stochastic local vol model
New approach delivers quick and accurate computation of prices
How replication simplifies pricing of vol exotics
Barclays quants replicate knock-out corridor swaps using barrier options in bid to make pricing easier
All the news that’s fit to print
While the benefits of the information revolution are clear, the risks it brings should not be underestimated, says Andrew Lo
Podcast: Montoro on FRTB thresholds and non-modellable risks
Senior risk manager also argues Kolmogorov-Smirnov test is better than Chi-squared
Is AD the answer to quicker MVA calculation?
Quants propose faster technique for Simm-MVA based on algorithmic differentiation
Podcast: Antonov on MVA, algorithmic differentiation and model validation
StanChart quant proposes new technique to compute MVA quicker