Colin Turfus – 05/08/21
Colin Turfus, senior quant analyst at Deutsche Bank and author of ‘Risky caplet pricing with backward-looking rates’, on short-rate models and Libor’s end

Colin Turfus, senior quant analyst at Deutsche Bank and author of ‘Risky caplet pricing with backward-looking rates’, on short-rate models and Libor’s end
Darwin’s theory of natural section could help quants detect flawed models and strategies, says Claudio Albanese, founder and head of development at Global Valuation
How the Libor transition inspired NatWest quant Vladimir Piterbarg’s latest paper on exotic derivatives valuation
Ex-JP Morgan quant Patrick Hagan discusses his latest work and the risk failures that cost the bank $6 billion in 2012.
Ben Burnett, a director of the XVA quant team at Barclays, discusses the development and application of a hedging valuation adjustment to derivatives transactions.
Star quant proposes a new model for predicting changes in bond ratings
Matthias Arnsdorf talks about how to adjust the capital valuation adjustment. The JP Morgan quant proposes an alternative calculation that would reduce the charge by an order of magnitude.
CFM’s Bouchaud on agent-based models and ESG investing
Dario Villani - 28/07/20 by Quantcast – a Risk.net Cutting Edge podcast
Lipton and De Prado discuss trading strategies and Covid-19 modelling
Quants explain application latest techniques to produce synthetic data
Market generator models may aid areas of finance where data is limited or sensitive, by generating new data with the same statistical properties, say Alexei Kondratyev and Christian Schwarz
Trades’ size limits, membership rules and more transparency are key to avoid another CCPs’ default, says BofA quant Andrew Dickinson
Mats Kjaer discusses a balance-sheet based model in which he derives breakeven price and valuation adjustments of a new trade for the firm and the shareholders
Model validation for ES-based risk models is not only possible but far more informative than traditional model acceptance on the basis of VAR exceedance counting, says head of valuation and quantitative solutions at Banque Pictet in Geneva
Numerix's Andrew McClelland talks to Mauro Cesa in relation to an upcoming Risk.net paper – MVA: future IM for client trades and dynamic hedges
Quants talk about new technique that can model wrong-way risk better
Quant says a new machine learning technique could change the way banks hedge derivatives
How quantum theory could aid portfolio construction
Credit Suisse quant talks about new paper on valuing quanto options
Combination of rough volatility and the classical Heston model gives promising results
Marc Henrard, a managing partner at muRisQ Advisory, visited our London offices to record a podcast on the challenges of Libor transition as part of benchmark reform. He was joined over the phone by Fabio Mercurio, head of the quant analytics team at Bloomberg.
Course director discusses machine learning explainability and reclaiming game theory from economists
Chris Kenyon and Mourad Berrahoui discuss the pitfalls of PFE and propose a replacement to the existing credit risk measure
Dominique Bang discusses a novel method to mix a pure stochastic volatility process with a generic local volatility function, using Lamperti’s transform
Adolfo Montoro, a director in the market risk management and risk methodology team at Deutsche Bank, visited our offices in London to discuss his new paper, The revised P&L attribution test and the suitability of new proposed thresholds, co-written by two of his colleagues, Marco Spinaci and Marc Georgi.
StanChart quant proposes new technique to compute margin valuation adjustment quicker
Pierre Henry-Labordere and Hamza Guennoun discuss exotics calibration, machine learning and autocallable pricing
MIT quant says next project will be to combine behavioural science with tech such as machine learning
Emerging market hard-currency bonds contain exposure to an EM sovereign and the underlying industry. Richard Martin, Tolga Uzuner and Yao Ma investigate how to model this as a modification of the well-known first-to-default basket, using the structural model, and find the approach feasible