Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/258051 
Year of Publication: 
2020
Citation: 
[Journal:] Risks [ISSN:] 2227-9091 [Volume:] 8 [Issue:] 3 [Article No.:] 98 [Publisher:] MDPI [Place:] Basel [Year:] 2020 [Pages:] 1-20
Publisher: 
MDPI, Basel
Abstract: 
In this paper, we focus on a new generalization of multivariate general compound Hawkes process (MGCHP), which we referred to as the multivariate general compound point process (MGCPP). Namely, we applied a multivariate point process to model the order flow instead of the Hawkes process. The law of large numbers (LLN) and two functional central limit theorems (FCLTs) for the MGCPP were proved in this work. Applications of the MGCPP in the limit order market were also considered. We provided numerical simulations and comparisons for the MGCPP and MGCHP by applying Google, Apple, Microsoft, Amazon, and Intel trading data.
Subjects: 
point process (PP)
multivariate point processes (MPP)
multivariate general compound point processes (MGCPP)
limit order books (LOB)
functional central limit theorems (FCLT)
law of large numbers (LLN)
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Creative Commons License: 
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Document Type: 
Article
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