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| Main Authors: | , |
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| Format: | Preprint |
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2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.06079 |
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| _version_ | 1866916354504785920 |
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| author | Diana, Derick Gebbie, Tim |
| author_facet | Diana, Derick Gebbie, Tim |
| contents | We extend a Discrete Time Random Walk (DTRW) numerical scheme to simulate the anomalous diffusion of financial market orders in a simulated order book. Here using random walks with Sibuya waiting times to include a time-dependent stochastic forcing function with non-uniformly sampled times between order book events in the setting of fractional diffusion. This models the fluid limit of an order book by modelling the continuous arrival, cancellation and diffusion of orders in the presence of information shocks. We study the impulse response and stylised facts of orders undergoing anomalous diffusion for different forcing functions and model parameters. Concretely, we demonstrate the price impact for flash limit-orders and market orders and show how the numerical method generate kinks in the price impact. We use cubic spline interpolation to generate smoothed price impact curves. The work promotes the use of non-uniform sampling in the presence of diffusive dynamics as the preferred simulation method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_06079 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Anomalous diffusion and price impact in the fluid-limit of an order book Diana, Derick Gebbie, Tim Computational Finance Computational Engineering, Finance, and Science Adaptation and Self-Organizing Systems Trading and Market Microstructure 91G80 G.1.8 We extend a Discrete Time Random Walk (DTRW) numerical scheme to simulate the anomalous diffusion of financial market orders in a simulated order book. Here using random walks with Sibuya waiting times to include a time-dependent stochastic forcing function with non-uniformly sampled times between order book events in the setting of fractional diffusion. This models the fluid limit of an order book by modelling the continuous arrival, cancellation and diffusion of orders in the presence of information shocks. We study the impulse response and stylised facts of orders undergoing anomalous diffusion for different forcing functions and model parameters. Concretely, we demonstrate the price impact for flash limit-orders and market orders and show how the numerical method generate kinks in the price impact. We use cubic spline interpolation to generate smoothed price impact curves. The work promotes the use of non-uniform sampling in the presence of diffusive dynamics as the preferred simulation method. |
| title | Anomalous diffusion and price impact in the fluid-limit of an order book |
| topic | Computational Finance Computational Engineering, Finance, and Science Adaptation and Self-Organizing Systems Trading and Market Microstructure 91G80 G.1.8 |
| url | https://arxiv.org/abs/2310.06079 |