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Forecasting Quoted Depth With the Limit Order Book [PDF]

open access: yesFrontiers in Artificial Intelligence, 2021
Liquidity plays a vital role in the financial markets, affecting a myriad of factors including stock prices, returns, and risk. In the stock market, liquidity is usually measured through the order book, which captures the orders placed by traders to buy ...
Daniel Libman, Simi Haber, Mary Schaps
doaj   +5 more sources

LiT: limit order book transformer [PDF]

open access: yesFrontiers in Artificial Intelligence
While the transformer architecture has demonstrated strong success in natural language processing and computer vision, its application to limit order book forecasting, particularly in capturing spatial and temporal dependencies, remains limited.
Yue Xiao   +5 more
doaj   +5 more sources

Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets [PDF]

open access: yesFrontiers in Artificial Intelligence, 2023
We employ deep reinforcement learning (RL) to train an agent to successfully translate a high-frequency trading signal into a trading strategy that places individual limit orders.
Peer Nagy   +4 more
doaj   +2 more sources

Characterizing limit order books in call auctions of a stock market. [PDF]

open access: yesPLoS ONE
Statistical and dynamical characteristics of stock markets have been extensively studied, providing a solid basis for econophysics and its application as "stylized facts". However, most of those studies are for markets under the continuous auction, i.e.,
Shota Nagumo, Takashi Shimada
doaj   +2 more sources

Limit Order Book and Short-term Stock Price Movement Predictability: Evidence from Tehran Stock Exchange [PDF]

open access: yesJournal of Asset Management and Financing, 2020
Objective: Open limit order book can be used as a tool to enhance transparency and price discovery in financial markets by showing the offered volumes and prices of buy and sell orders. In this study, we aim to answer two questions by examining the limit
Ali Ebrahimnejad   +2 more
doaj   +1 more source

Spoofing the Limit Order Book: A Strategic Agent-Based Analysis

open access: yesGames, 2021
We present an agent-based model of manipulating prices in financial markets through spoofing: submitting spurious orders to mislead traders who learn from the order book. Our model captures a complex market environment for a single security, whose common
Xintong Wang   +3 more
doaj   +1 more source

The Relation between Intraday Limit Order Book Depth and Spread

open access: yesInternational Journal of Financial Studies, 2021
Prior studies that examine the relation between market depth and bid–ask spread are often limited to the first level of the limit order book. However, the full limit order book provides important information beyond the first level about the depth and ...
Alexandre Aidov, Olesya Lobanova
doaj   +1 more source

Limit order books [PDF]

open access: yesQuantitative Finance, 2012
42 pages, 7 ...
Martin D. Gould   +5 more
openaire   +3 more sources

HYDRODYNAMIC LIMIT OF ORDER-BOOK DYNAMICS [PDF]

open access: yesProbability in the Engineering and Informational Sciences, 2016
In this paper, we establish a fluid limit for a two-sided Markov order book model. The main result states that in a certain asymptotic regime, a pair of measure-valued processes representing the “sell-side shape” and “buy-side shape” of an order book converges to a pair of deterministic measure-valued processes in a certain sense.
Xuefeng Gao, S. J. Deng
openaire   +3 more sources

Second order approximations for limit order books [PDF]

open access: yesFinance and Stochastics, 2018
In this paper we derive a second order approximation for an infinite dimensional limit order book model, in which the dynamics of the incoming order flow is allowed to depend on the current market price as well as on a volume indicator (e.g.~the volume standing at the top of the book).
Ulrich Horst, Dörte Kreher
openaire   +3 more sources

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