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20172025
most citedReinforcement Learning in Non-Markov Market-Making

3 citations · 7 across the 11 of their papers we have counts for

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7 papers · 1 filter

q-fin.MF2024

Variance-Hawkes Process and its Application to Energy Markets

Joshua McGillivray, Anatoliy Swishchuk

We define a new model using a Hawkes process as a subordinator in a standard Brownian motion. We demonstrate that this Hawkes subordinated Brownian motion or more succinctly, varia…

q-fin.MF2024

Algorithmic and High-Frequency Trading Problems for Semi-Markov and Hawkes Jump-Diffusion Models

Luca Lalor, Anatoliy Swishchuk

This paper introduces a jump-diffusion pricing model specifically designed for algorithmic trading and high-frequency trading (HFT). The model incorporates independent jump and dif…

q-fin.MF2022

Multivariate Hawkes-based Models in LOB: European, Spread and Basket Option Pricing

Qi Guo, Anatoliy Swishchuk, Bruno Rémillard

In this paper, we consider pricing of European options and spread options for Hawkes-based model for the limit order book. We introduce multivariate Hawkes process and the multivar…

q-fin.MF20201 cited

Multivariate General Compound Point Processes in Limit Order Books

Qi Guo, Bruno Remillard, Anatoliy Swishchuk

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 (MG…

q-fin.MF20172 cited

Compound Hawkes Processes in Limit Order Books

Anatoliy Swishchuk, Bruno Remillard, Robert Elliott +1

In this paper we introduce two new Hawkes processes, namely, compound and regime-switching compound Hawkes processes, to model the price processes in limit order books. We prove La…

q-fin.MF2017

Variance and Volatility Swaps and Futures Pricing for Stochastic Volatility Models

Anatoliy Swishchuk, Zijia Wang

In this chapter, we consider volatility swap, variance swap and VIX future pricing under different stochastic volatility models and jump diffusion models which are commonly used in…