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3996. Pricing Options with a Compound CARMA(p,q)-Hawkes model
Invited abstract in session TB-63: Risk Management and Cryptoassets, stream OR in Banking, Finance and Insurance: New Tools for Risk Management.
Tuesday, 10:30-12:00Room: S14 (building: 101)
Authors (first author is the speaker)
1. | Andrea Perchiazzo
|
Department of Economics, Management and Quantitative Methods, University of Milan | |
2. | Lorenzo Mercuri
|
University of Milan | |
3. | Edit Rroji
|
University of Milano-Bicocca |
Abstract
Recently a novel self-exciting point process has been introduced in the literature, featuring a continuous-time autoregressive moving average intensity process. Such a model, named CARMA(p,q)-Hawkes, extends the traditional Hawkes process by integrating a CARMA(p,q) framework instead of an Ornstein-Uhlenbeck intensity. As a matter of fact, the proposed model maintains the same level of mathematical tractability as the Hawkes process (e.g., infinitesimal generator, backward and forward Kolmogorov equations, joint characteristic function); but it shows enhanced capability in reproducing complex time-dependent structures evident in several market data. Based on this framework we propose a compound CARMA(p,q)-Hawkes model incorporating a random jump size independent of both the counting and intensity processes, which serves as a key component for a new option pricing model. We conduct an analysis to assess the effectiveness of this pricing model in replicating the volatility surface observed in market option data.
References:
Mercuri, L., Perchiazzo, A., & Rroji, E. (2024). A Hawkes model with CARMA (p, q) intensity. Insurance: Mathematics and Economics.
Keywords
- Finance and Banking
- Programming, Stochastic
- Stochastic Models
Status: accepted
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