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New PIVOT system bridges option pricing and implied volatility objectives

Researchers have developed PIVOT, a novel system designed to bridge the gap between price and implied volatility (IV) objectives in option-learning models. PIVOT utilizes a differentiable Jäckel operator to maintain the efficiency of existing solvers while providing a backward pass that handles the singularity in the low-vega regime. This approach significantly improves accuracy, as demonstrated by a 43.4% reduction in held-out price MAE and a 21.3% joint improvement in price and IV MAE on SPX OptionMetrics data. AI

RANK_REASON The cluster contains an academic paper detailing a new method for quantitative finance. [lever_c_demoted from research: ic=1 ai=0.4]

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Raeid Saqur, Yannick Limmer, Anastasis Kratsios, Blanka Horvath, Hans Buehler ·

    PIVOT: Bridging Black-Scholes Implied-Volatility and Price Objectives via Differentiable J\"ackel Operator

    arXiv:2606.17065v1 Announce Type: cross Abstract: Modern option-learning systems operate in two coordinates: price space, where markets quote and no-arbitrage constraints are most naturally enforced, and implied volatility (IV) space, where volatility surfaces are smoothed, regul…