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From the 1 of 8 linked papers with an AI index.

most citedHeat modulated affine stochastic volatility models for forward curve dynamics

1 citations · 1 across the 4 of their papers we have counts for

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8 papers

q-fin.MF2026

Pricing and Semi-static Hedging of Green Pay-as-produced Power Purchase Agreements

Konstantinos Chatziandreou, Sven Karbach

The paper proposes a semi‑static hedging framework for green pay‑as‑produced power purchase agreements, combining dynamic futures trading with a static portfolio of renewable‑linke…

q-fin.MF20261 cited

Heat modulated affine stochastic volatility models for forward curve dynamics

Sven Karbach

We present a function-valued stochastic volatility model designed to capture the continuous-time evolution of forward curves in fixed-income or commodity markets. The dynamics of t…

q-fin.TR2026

Signature-Based Optimal Execution for Statistical Arbitrage with Path-Dependent Trading Signals

Gianmarco Morbelli, Sven Karbach, Mike Derksen

We develop a signature-based framework for optimal execution in statistical arbitrage strategies with path-dependent predictive signals. Both the alpha process and the trading spee…

q-fin.MF2026

Hedging Maturity-Specific Risk in Forward Curve Derivatives under Stochastic Volatility

Riccardo Alberti, Sven Karbach

We study the variance-optimal hedging of European contingent claims written on forwards. We assume that the dynamics of the underlying forward curves follow a Heath--Jarrow--Morton…

q-fin.MF2026

Pricing Options on Forwards in Function-Valued Affine Stochastic Volatility Models

Jian He, Sven Karbach, Asma Khedher

We study the pricing of European-style options written on forward contracts within function-valued infinite-dimensional affine stochastic volatility models. The dynamics of the und…

q-fin.MF2026

Semi-Static Variance-Optimal Hedging of Covariance Risk in Multi-Asset Derivatives

Konstantinos Chatziandreou, Sven Karbach

We develop a semi-static framework for the variance-optimal hedging of multi-asset derivatives exposed to correlation and covariance risk. The approach combines continuous-time dyn…