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Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500
Research article (Journal of Computational Social Science, 2019) · cited 15× · AI/ML
Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500
Summary
Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500 is a scholarly article[1].
Key Facts
Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-machine-learning-methods-for-financial-time-series-forecasting-at-the-examples-of-over-10-years-of-daily-a
MLA“Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-machine-learning-methods-for-financial-time-series-forecasting-at-the-examples-of-over-10-years-of-daily-a.
BibTeX@misc{4ortxyz_comparison-of-machine-learning-methods-for-financial-time-series-forecasting-at-the-examples-of-over-10-years-of-daily-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-machine-learning-methods-for-financial-time-series-forecasting-at-the-examples-of-over-10-years-of-daily-a}, note = {Accessed: 2026-05-24}}
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