Results 21 to 30 of about 1,356,140 (282)

An empirical behavioral order-driven model with price limit rules

open access: yesFinancial Innovation, 2021
We propose an empirical behavioral order-driven (EBOD) model with price limit rules, which consists of an order placement process and an order cancellation process.
Gao-Feng Gu   +6 more
doaj   +1 more source

Analysis of Individual High-Frequency Traders’ Buy–Sell Order Strategy Based on Multivariate Hawkes Process

open access: yesEntropy, 2022
Traders who instantly react to changes in the financial market and place orders in milliseconds are called high-frequency traders (HFTs). HFTs have recently become more prevalent and attracting attention in the study of market microstructures.
Hiroki Watari   +2 more
doaj   +1 more source

Thermodynamic Analysis of Financial Markets: Measuring Order Book Dynamics with Temperature and Entropy

open access: yesEntropy, 2023
This study bridges finance and physics by applying thermodynamic concepts to model the limit order book (LOB) with high-frequency trading data on the Bitcoin spot.
Haochen Li   +3 more
doaj   +1 more source

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).
Horst, Ulrich, Kreher, Dörte
openaire   +3 more sources

Online Hybrid Neural Network for Stock Price Prediction: A Case Study of High-Frequency Stock Trading in the Chinese Market

open access: yesEconometrics, 2023
Time-series data, which exhibit a low signal-to-noise ratio, non-stationarity, and non-linearity, are commonly seen in high-frequency stock trading, where the objective is to increase the likelihood of profit by taking advantage of tiny discrepancies in ...
Chengyu Li, Luyi Shen, Guoqi Qian
doaj   +1 more source

Algorithmic trading in a microstructural limit order book model [PDF]

open access: yes, 2019
We propose a microstructural modeling framework for studying optimal market making policies in a FIFO (first in first out) limit order book (LOB). In this context, the limit orders, market orders, and cancel orders arrivals in the LOB are modeled as Cox ...
Abergel, Frédéric   +2 more
core   +2 more sources

The Impact of Iceberg Orders in Limit Order Books [PDF]

open access: yesSSRN Electronic Journal, 2009
We examine the impact of iceberg orders on the price and order flow dynamics in limit order books. Iceberg orders allow traders to simultaneously hide a large portion of their order size and signal their interest in trading to the market. We show that when market participants detect iceberg orders they tend to strongly respond by submitting matching ...
Frey, Stefan, Sandås, Patrik
openaire   +2 more sources

Mutual Information between Order Book Layers

open access: yesEntropy, 2022
The order book is a list of all current buy or sell orders for a given financial security. The rise of electronic stock exchanges introduced a debate about the relevance of the information it encapsulates of the activity of traders.
Daniel Libman   +3 more
doaj   +1 more source

Price Jump Prediction in Limit Order Book [PDF]

open access: yesSSRN Electronic Journal, 2012
A limit order book provides information on available limit order prices and their volumes. Based on these quantities, we give an empirical result on the relationship between the bid-ask liquidity balance and trade sign and we show that liquidity balance on best bid/best ask is quite informative for predicting the future market order's direction ...
Ban Zheng   +2 more
openaire   +5 more sources

Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data

open access: yesIEEE Access, 2019
Forecasting the movements of stock prices is one of the most challenging problems in financial markets analysis. In this paper, we use machine learning (ML) algorithms for the prediction of future price movements using limit order book data.
Paraskevi Nousi   +7 more
doaj   +1 more source

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