Cutting Edge
Libor replacement: a modelling framework for in-arrears term rates
Andrei Lyashenko and Fabio Mercurio expand rates modelling to the post-Libor world
Capital allocation under the Fundamental Review of the Trading Book
Quants propose an allocation method for internal model capital charges
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
Beyond Markowitz with quantum annealing
Venturelli and Kondratyev use quantum annealers to optimise portfolios
The fair basis
Wujiang Lou remodels credit arbitrage by introducing funding and capital costs
Podcast: Hong on quanto derivatives and Asia’s quant drought
Credit Suisse quant talks about new paper on valuing quanto options
Skewing quanto with simplicity
George Hong presents an analytical method for pricing quanto options
SA-CCR may need more fundamental fixes
Quants propose tweaks to improve Basel counterparty credit risk framework
Revisiting SA-CCR
Berrahoui, Islah and Kenyon propose an alternative to SA-CCR
Podcast: Mathieu Rosenbaum on the rough Heston model
Combination of rough volatility and the classical Heston model gives promising results
Roughening Heston
El Euch, Rosenbaum, Gatheral combine a rough volatility model with the classical Heston model
Will the Nasdaq default spur CVA for CCPs?
Quant proposes model to calculate bank credit risk exposure to CCP
Central counterparty CVA
Matthias Arnsdorf proposes a method to calculate the counterparty risk related to CCP membership
Tying allocation to selection
Hamza Bahaji introduces a new approach to core-satellite investing, the compound portfolio insurance
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
CVA and IM: welcome to the machine
Henry-Labordere proposes a neural networks-based technique to price counterparty risk and initial margin
Keep it real: tail probabilities of compound distributions
Igor Halperin proposes new approach to compute probabilities of heavy-tailed distributions
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
The interplay between stochastic volatility and correlations in equity autocallables
Study shows issues with pricing autocallables using SLV
Podcast: Kenyon and Berrahoui on the pitfalls of PFE
Quants propose replacement to existing credit risk measure