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Affine Volterra processes and models for rough volatility

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Authors : Larsson, Martin (Author of the conference)
CIRM (Publisher )

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Abstract : Motivated by recent advances in rough volatility modeling, we introduce affine Volterra processes, defined as solutions of certain stochastic convolution equations with affine coefficients. Classical affine diffusions constitute a special case, but affine Volterra processes are neither semi-martingales, nor Markov processes in general. Nonetheless, their Fourier-Laplace functionals admit exponential-affine representations in terms of solutions of associated deterministic integral equations, extending the well-known Riccati equations for classical affine diffusions. Our findings generalize and simplify recent results in the literature on rough volatility.

MSC Codes :
60J60 - Diffusion processes
65R20 - Integral equations
91G20 - Derivative securities
91G10 - Portfolio theory

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 21/11/2017
    Conference Date : 16/11/2017
    Subseries : Research talks
    arXiv category : Probability
    Mathematical Area(s) : Mathematics in Science & Technology ; Probability & Statistics
    Format : MP4 (.mp4) - HD
    Video Time : 00:27:22
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2017-11-16_Larsson.mp4

Information on the Event

Event Title : Advances in stochastic analysis for risk modeling / Avancées en analyse stochastique pour la modélisation des risques
Event Organizers : Bouchard, Bruno ; Cheridito, Patrick ; Schweizer, Martin ; Touzi, Nizar
Dates : 13/11/2017 - 17/11/2017
Event Year : 2017
Event URL : https://conferences.cirm-math.fr/1730.html

Citation Data

DOI : 10.24350/CIRM.V.19245003
Cite this video as: Larsson, Martin (2017). Affine Volterra processes and models for rough volatility. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19245003
URI : http://dx.doi.org/10.24350/CIRM.V.19245003

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