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Ilia Zaznov, Julian Martin Kunkel, Atta Badii and Alfonso Dufour
This paper introduces a novel deep learning approach for intraday stock price direction prediction, motivated by the need for more accurate models to enable profitable algorithmic trading. The key problems addressed are effectively modelling complex limi...
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Jakub Kubiczek and Marcin Tuszkiewicz
A highly significant feature of the stock market is its efficiency, which is associated with information efficiency. However, the liquidity of stock on the market is its essential characteristic. The inflow of information in highly liquid markets allows ...
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Athanasios Tsagkanos, Konstantinos Gkillas, Christoforos Konstantatos and Christos Floros
The present research investigates the impact of trading volume on stock return volatility using data from the Greek banking system. For our analysis, the empirical study uses daily measures of volatility constructed from intraday data for the period 5 Ja...
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Espen Sirnes and Minh Thi Hong Dinh
It is well known that intraday returns tend to reverse the following intraday period, conditional on excess buying pressure on the bid or ask side. This suggests that liquidity providers ?overreact? to order imbalance (OIB) by initially altering quotes s...
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Alexandre Aidov and Olesya Lobanova
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 spr...
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Carlos Elder Maciel de Aquino,José Everardo Alves Pereira,José Odalio dos Santos,Alexandre Franco de Godoi,Fernando de Almeida Santos
Pág. 29 - 42
The goal of the research is to analyze the stock returns of Cielo SA based upon its intraday data to capture the influence of relevant facts on the share price and trading volume, at the early hours after the disclosure. The Efficient Market Hypothesis (...
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Namitha K. Cheriyan,Lazar Daniel
Pág. 17 - 22
The liquidity crunch arising out of volatile market conditions is a significant concern for investors across the globe. The trading activity in the market is an important attribute determining the liquidity as well as the volatility of any stock market. ...
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Justin Morscheck
Pág. 21 - 37
Using intraday trading data during the 2008 financial crisis, from the Standard and Poor?s Depository Receipt (SPDR) market, we test for evidence of the informational advantage of traders. In addition, we examine the effect of pricing error on trade pric...
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Johannes Stübinger,Jens Bredthauer
Pág. 650 - 662
In recent years, more sophisticated techniques for analyzing data and exponential increase in computing power allow high-frequency trading. This paper provides a detailed overview on pairs trading in the context of intraday data and applies different str...
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Jying-Nan Wang,Yuan-Teng Hsu,Hung-Chun Liu
Pág. 651 - 656
Given the rapid growth of financial markets over the past 20 years, along with the explosive development of financial derivatives, an ever-growing need for accurate and efficient volatility forecasting has emerged. Such forecasts have numerous financial ...
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