2022
DOI: 10.1051/shsconf/202213201012
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Evaluation of development of Apple Inc. stock price time series

Abstract: The paper deals with the the development of a specific company’s stock price time series. The aim of the paper is to use the time series method for a detailed analysis and evaluation of the development of Apple Inc. stock prices. Daily data from 2000 to 2020, daily data from the period of the economic crisis between 2007 and 2009 and daily data from the Covid-19 pandemic period from March 2020 to the end of the same year are used. The data, from the period of 2000 - 2020 show a gradual increase in Apple’s stoc… Show more

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Cited by 3 publications
(2 citation statements)
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“…Their research highlights the application of advanced machine learning techniques in predicting stock prices, emphasizing the potential of these models to enhance forecasting accuracy. Jakub Horák and Dominik Kaisler [7] conducted an evaluation of the development of Apple Inc.'s stock price time series. Their study offers insights into the historical trajectory of a prominent tech company's stock price, contributing to the body of knowledge related to stock market analysis.…”
Section: Related Workmentioning
confidence: 99%
“…Their research highlights the application of advanced machine learning techniques in predicting stock prices, emphasizing the potential of these models to enhance forecasting accuracy. Jakub Horák and Dominik Kaisler [7] conducted an evaluation of the development of Apple Inc.'s stock price time series. Their study offers insights into the historical trajectory of a prominent tech company's stock price, contributing to the body of knowledge related to stock market analysis.…”
Section: Related Workmentioning
confidence: 99%
“…As a result of these factors, demand for products like iPad tablets and MacBook computers increased. This is evidenced by an 18.6% increase in global sales of these devices to 38.6 million units [7].…”
Section: Apple's Big Data Analytics Practicesmentioning
confidence: 99%