Stochastic Modelling of Big Data in Finance
Swishchuk Anatoliy (University of Calgary Alberta Canada)
9781032209265
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| Author(s) :- Swishchuk Anatoliy (University of Calgary Alberta Canada) | Format :- Hardback |
| Publisher :- Taylor & Francis Ltd | Pub. Date :- 2022-11-08 |
| ISBN-13 :- 9781032209265 | |
| Series:- Chapman and Hall/CRC Financial Mathematics Series | |
| Pagination :- 280 pages, 56 Tables, black and white; 53 Line drawings, color; 106 Line drawings, black and white; | |
| Dimensions :- 160 x 243 x 21 | |
| Weight :- 624 |
Description
This book provides a rigorous overview and exploration of stochastic modelling of big data in finance (BDF). The book describes various stochastic models, including multivariate models, to deal with big data in finance. This includes data in high-frequency and algorithmic trading, specifically in limit order books (LOB).
