Arbitrage-Free Pricing with Diffusion-Dependent Jumps
Hamza Virk, Yihren Wu, Majnu John

TL;DR
This paper introduces a new jump-diffusion model where jump behavior depends on current diffusion movements, ensuring arbitrage-free pricing by deriving explicit no-arbitrage conditions using advanced mathematical techniques.
Contribution
It develops a multi-type jump-diffusion framework with diffusion-dependent jumps and establishes explicit no-arbitrage conditions for arbitrage-free pricing.
Findings
Derived explicit no-arbitrage condition linking drift and model parameters.
Constructed an Equivalent Martingale Measure using Girsanov's theorem and Esscher transform.
Ensured the model's consistency with arbitrage-free market assumptions.
Abstract
Standard jump-diffusion models assume independence between jumps and diffusion components. We develop a multi-type jump-diffusion model where jump occurrence and magnitude depend on contemporaneous diffusion movements. Unlike previous one-sided models that create arbitrage opportunities, our framework includes upward and downward jumps triggered by both large upward and large downward diffusion increments. We derive the explicit no-arbitrage condition linking the physical drift to model parameters and market risk premia by constructing an Equivalent Martingale Measure using Girsanov's theorem and a normalized Esscher transform. This condition provides a rigorous foundation for arbitrage-free pricing in models with diffusion-dependent jumps.
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Financial Markets and Investment Strategies
