Quantcast
Podcast: Matthias Arnsdorf on a new – and cheaper – KVA
Quant proposes approach anchored by a dealer’s default rate rather than its return on equity
Podcast: CFM’s Bouchaud on agent-based models and ESG investing
Hedge fund quant, and Risk.net’s new columnist, shares his unique take on markets
Podcast: Dario Villani on managing money with ML
Duality’s CEO discusses key to machine learning success, and the influence of Renaissance’s Jim Simons
Podcast: Lipton and de Prado on Covid and trading strategies
Top quants discuss collaboration and their worries about the economic recovery
Podcast: Horvath and Lee on market generator models
Quants explain the application of the latest techniques
Podcast: Kondratyev and Schwarz on generating data
Market generator models may aid areas of finance where data is limited or sensitive
Podcast: Andrew Dickinson on CCPs’ defence mechanisms
Trades’ size limits, membership rules and more transparency key to avoid another CCP default
Podcast: Mats Kjaer on how trades affect the balance sheet
Bloomberg quant has developed a balance-sheet model for XVA pricing
Podcast: Acerbi on backtesting ES and FRTB’s patchwork rules
Banque Pictet quant explains a new backtesting method for expected shortfall
Podcast: McClelland on why you need a good MVA model
Numerix quant presents a model aimed at showing the total cost of a trade
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
Podcast: Mathieu Rosenbaum on the rough Heston model
Combination of rough volatility and the classical Heston model gives promising results
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
Podcast: Princeton’s Carmona on the future of quant education
Course director discusses machine learning explainability and reclaiming game theory from economists
Podcast: Kenyon and Berrahoui on the pitfalls of PFE
Quants propose replacement to existing credit risk measure
Podcast: Dominique Bang on his stochastic local vol model
New approach delivers quick and accurate computation of prices
Podcast: Montoro on FRTB thresholds and non-modellable risks
Senior risk manager also argues Kolmogorov-Smirnov test is better than Chi-squared
Podcast: Antonov on MVA, algorithmic differentiation and model validation
StanChart quant proposes new technique to compute MVA quicker
Podcast: SocGen quants on exotics calibration, machine learning and autocallable pricing
Deep learning techniques are being explored by the quants to speed up exotics pricing
Podcast: Lo on adaptive regulation, machine learning, bitcoin
MIT quant says next project will be to combine behavioural science with tech such as machine learning
Podcast: Richard Martin on EM debt, copulas, machine learning
Quant sceptical of machine learning algos and black boxes