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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
The Use of Big Data Analytics to Predict the Foreign Exchange Rate Based on Public Media: A Machine-Learning Experiment
ترجمه فارسی عنوان مقاله:
استفاده از تجزیه و تحلیل داده های بزرگ برای پیش بینی نرخ ارز خارجی بر اساس رسانه های عمومی: یک آزمایش یادگیری ماشین
منبع:
IEEE - Published by the IEEE Computer Society 1520-9202/18/$33:00 ©2018 IEEE
نویسنده:
Rua-Huan Tsaih ،Biing-Shen Kuo ،Tzu-Hsiang Lin ،Che-Chuan Hsu
چکیده انگلیسی:
The authors analyze relevant public information
provided by new media to predict the movement of
the USD/TWD exchange rate and explore whether
big data analytics with machine-learning modeling
can exceed the random walk mechanism and the
notion of market efficiency.
In recent years, people have become more reliant on new media (websites, forums, and social
media) to access and share information. Most social media information is considered public in
formation. For many people, such extensive public information can help with making deci
sions—for instance, participants in the exchange rate market can use this information to their
best interests at little cost. However, the variety and volume of data provided by new media,
along with the speed at which such data appears, are continuously increasing. The veracity of
new media data is also an issue. Furthermore, forecasting the daily movement of exchange rates
has been such a difficult task that most econometric models are incapable of forecasting short
term exchange rates with outstandingly higher accuracy than a naive random walk model.1
قیمت: رایگان
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