We develop a deep reinforcement learning (RL) framework for an optimal market-making (MM) trading problem, specifically focusing on price processes with semi-Markov and Hawkes Jump-Diffusion dynamics. We begin by discussing the basics of RL and the deep RL framework used; we deployed the...

This paper investigates the relationship among transaction taxes, high-frequency trading (HFT), and market quality. We use the agent-based modeling (ABM) approach to dynamically assess the impact of transaction taxes on market quality with and without high-frequency trading. Preliminary tests...

The Eurosystem's Advisory Group on Market Infrastructures for Securities and Collateral (AMI-SeCo) has set the goal of harmonising the processing of corporate actions (CA), based on the ISO 20022 standard. In December 2017 the AMI-SeCo identified a series of harmonisation needs, which served as...

In this paper a new state model is introduced, an adaptative state model in a binary temporal representation (ASMBRT) as well as its application in constructing an algorithmic trading system. The presented model uses the binary temporal representation, which allows for a precise analysis of...

This is the 15th progress report on the harmonisation of European securities settlement published by the Eurosystem's Advisory Group on Market Infrastructures for Securities and Collateral (AMI-SeCo). With the aim of further integrating European financial markets and in line with its mandate,...

In diffusion models, few suitably chosen financial securities allow to complete the market. As a consequence, the efficient allocations of static Arrow-Debreu equilibria can be attained in Radner equilibria by dynamic trading. We show that this celebrated result generically fails if there is...

This paper establishes an insider trading model under market supervision, which includes four types of trading entities: an insider trader, n external traders, noise traders, and market makers. The insider trader voluntarily discloses information to the external traders during the trading...

This study investigates how the rise of commission-free FinTech platforms and the introduction of fractional trading (FT) have altered trading behavior and order book dynamics in the NASDAQ equity market. Leveraging high-frequency ITCH data from highly capitalized stocks-AAPL, AMZN, GOOG, and...

There are various factors that influence the trading behavior of individual investors in the stock market. This study, based on data from 405 individual investors, is the first to investigate the relationship between sleep quality and investors' trading behavior in the stock market. Sleep...

Pairs trading has been a successful tool for traders since its inception in the 1980s and has evolved significantly with the introduction of algorithmic, machine, and AI trading. This evolution has compli­cated the implementation of this strategy that traditionally benefits institutional or...