Banks are offering investors new options strategies designed to limit losses on quantitative investment strategies (QISs) while still allowing participation in market recoveries, according to a report by Risk.net published today. The shift comes after recent market volatility caused whipsaws that challenged traditional loss-capping mechanisms. Traditionally, banks have employed volatility target mechanisms to protect investors in QISs. However, these methods often meant sacrificing the potential to profit from subsequent market rebounds. The new approach utilizes variable strike options, aiming to capture those recoveries after volatility spikes, Risk.net reported. The move reflects a growing demand from investors seeking to manage risk associated with systematic strategies. Hedge funds, in particular, have been turning to options on short volatility QISs to capture volatility premiums while limiting potential downside, as noted in a report by Hedgeweek. BNP Paribas, Citi, and UBS are among the banks launching call options on these strategies. JP Morgan has also been incorporating zero-day-to-expiry (0DTE) options into its quantitative investment strategies, according to a Risk.net report from November 2023. The bank’s intraday momentum strategy now includes same-day expiry options on the S&P 500, with the aim of boosting returns and improving downside protection. This incorporation of 0DTE options represents a further evolution in how banks are approaching risk management within QISs. The strategies are designed to provide a more nuanced approach to loss protection, allowing investors to potentially benefit from market recoveries that might have been missed with traditional methods.
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Implied volatility
Convex Volatility Interpolation (CVI) for Options Pricing | Risk.net
written by Priya Shah – Business Editor
Fast, accurate, and arbitrage-free volatility surface fitting remains a core challenge for options desks, with a new framework offering a potential solution. Fabrice Deschâtres has introduced Convex Volatility Interpolation (CVI), a method that frames the problem as quadratic programming in variance space.
CVI aims to address the difficulties in generating volatility surfaces that can precisely fit market conditions while avoiding arbitrage opportunities. According to Deschâtres, the approach utilizes intuitive parameters, incorporates bid-ask spread awareness through penalties, and provides a rigorous treatment of volatility tails.
Deschâtres highlighted the distinction between CVI and SANOS, another approach to constructing volatility surfaces. While both rely on convex optimization for global calibration and can accommodate flexible parameterization, SANOS operates in price space, while CVI operates in variance space. The choice of variance space, Deschâtres argues, allows for more trader-friendly parameters and a better capture of the volatility surface’s shape – level, skew, and curvature – key properties for practical application.
The development of CVI builds on a broader trend toward convex optimization in volatility fitting, a technique Deschâtres describes as the “only sensible choice” for handling the large number of parameters involved. He notes that achieving a volatility surface free of calendar spread and butterfly arbitrage, while simultaneously fitting bid/ask spreads and allowing for regularization, is a complex undertaking.
Deschâtres previously discussed the challenges of generating arbitrage-free volatility surfaces in a November 2022 LinkedIn post, noting that, to his knowledge, no publicly available paper fully solves the problem, with Voladynamics being a key reference point in the field. He emphasized the necessitate for constraints to prevent arbitrage and an objective function that incorporates market fitting and regularization.
In a related post from January 2026, Deschâtres compared SANOS and CVI, noting that SANOS’s operation in price space structurally simplifies the enforcement of strike arbitrage constraints. He also indicated a willingness to discuss volatility fitting solutions with teams evaluating options for trading, risk management, and valuation purposes.