TL;DR
A model combining continuous diffusion with discrete jumps: \( dS/S = \mu dt + \sigma dW + J dN \) where N is a Poisson process and J is the random jump size. Merton's model assumes log-normal jumps.
Jump-Diffusion Model
A model combining continuous diffusion with discrete jumps: \( dS/S = \mu dt + \sigma dW + J dN \) where N is a Poisson process and J is the random jump size. Merton's model assumes log-normal jumps.
Why it matters for interviews
Jump-diffusion models capture sudden market movements (crashes, earnings jumps) that pure diffusion models miss. They produce volatility smiles and are used for pricing options on assets with jump risk.
Definition and Mathematical Foundation
A model combining continuous diffusion with discrete jumps: \( dS/S = \mu dt + \sigma dW + J dN \) where N is a Poisson process and J is the random jump size. Merton's model assumes log-normal jumps.
Application in Quantitative Finance
Jump-diffusion models capture sudden market movements (crashes, earnings jumps) that pure diffusion models miss. They produce volatility smiles and are used for pricing options on assets with jump risk.
Related Concepts
Related Terms
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