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Degree of influence 2022: in the grip of volatility
Rough volatility, liquidity and trade execution were quants’ top priorities this year
A new approach to marking volatility of illiquid options
Julius Baer quant’s arbitrage-free solution overcomes challenge of sparse data
Should you hedge or should you wait?
New paper introduces quantitative framework for optimal FX hedging
Getting the jump on pricing dividend-protected derivatives
Morgan Stanley quants show how to avoid mispricing corporate options and convertible bonds
How Michael Spector left his mark on quantitative finance
Physicist trained in Soviet scientific centres found elegant solutions to complex problems
A new way to calculate conditional expectations
Gaussian distributions can sharpen one of the most commonly used tools in quant finance
Reviving the lost art of perturbation for exotic pricing
Natixis quants find novel way to speed up volatility smile modelling
How to model potential exposure, post-Archegos
BofA quant’s model considers the correlation between market shocks and counterparty defaults
A look at asset liquidation from a different angle
Quants propose a novel approach to assess liquidation cost and stress-testing for hard-to-sell assets
Kurtosis optimisation gives portfolios a shock absorber
Hedge fund quant shows how an alternative to PCA makes risk management more robust
Rough volatility moves to exotic frontiers
New simulation scheme clears the way for broader application of the rough Heston model
What quant finance can learn from a 240-year-old problem
Optimal transport theory offers a data-driven way to calibrate derivatives pricing models
Follow the moneyness
Barclays quants extend Bergomi’s skew stickiness ratio to all strikes
Degree of influence 2021: XVA marks the spot
Research into valuation adjustments is back on quants’ to-do list
Estimating loan loss provisions may have just got easier
Commerzbank quant proposes shortcut to calculate lifetime loan loss reserves
An ‘optimal’ way to calculate future P&L distributions?
Quants use neural networks to upgrade classic options pricing model
Machines can read, but do they understand?
A novel NLP application built on a Google transformer model can help predict ratings transitions
Derivatives pricing starts feeling the heat of climate change
Quants find physical and transition risks can lead to significant rise in CVA
The case for reinforcement learning in quant finance
The technology behind Google’s AlphaGo has been strangely overlooked by quants
Synthetic data enters its Cubist phase
Quants are using the theory of rough paths to distil the essence of financial datasets
A look at future exposures, through a 19th century lens
Can a centenarian maths idea speed up the calculation of forward sensitivities?
Put options power up variable annuities
Insurance quants increase risk-adjusted profits using novel hedging technique
As machines disrupt investing, people still have a role to play
Despite AI’s growth, investing still needs human adaptability and judgement, writes Schroders’ Lim
My kingdom for the right copula
Copulas can still deliver if chosen with due attention to intuition and data, says quant fund chair