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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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Apostolos Ampountolas
Over the past years, cryptocurrencies have drawn substantial attention from the media while attracting many investors. Since then, cryptocurrency prices have experienced high fluctuations. In this paper, we forecast the high-frequency 1 min volatility of...
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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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Faheem Aslam, Paulo Ferreira, Khurrum Shahzad Mughal and Beenish Bashir
During crises, stock market volatility generally rises sharply, and as consequence, spillovers are identified across markets. This study estimates the volatility spillover among twelve European stock markets representing all four regions of Europe. The d...
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Omid Faseli
Pág. 80 - 87
Abnormal volatility has a damaging effect on the macroeconomy and is seen as a measure of risk in asset and commodity markets. This investigation had the aim to analyze the supposed transatlantic volatility inducing effect of the most prominent scheduled...
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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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Faheem Aslam, Wahbeeah Mohti and Paulo Ferreira
This study assesses how the coronavirus pandemic (COVID-19) affects the intraday multifractal properties of eight European stock markets by using five-minute index data ranging from 1 January 2020 to 23 March 2020. The Hurst exponents are calculated by a...
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Omid Faseli
Pág. 49 - 57
This study had the purpose to investigate the impact of 38 scheduled major United States (US) macroeconomic news on WTI crude oil intraday volatility for the period 2012-2018. It was the aim to provide a news ranking that indicates upcoming high volatili...
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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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