13,986 research outputs found
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks
Financial news contains useful information on public companies and the
market. In this paper we apply the popular word embedding methods and deep
neural networks to leverage financial news to predict stock price movements in
the market. Experimental results have shown that our proposed methods are
simple but very effective, which can significantly improve the stock prediction
accuracy on a standard financial database over the baseline system using only
the historical price information.Comment: 5 pages, 2 figures, technical repor
Gravity/Fluid Correspondence and Its Application on Bulk Gravity with Gauge Field
As the long wavelength limit of the AdS/CFT correspondence, the gravity/fluid
correspondence has been shown to be a useful tool for extracting properties of
the fluid on the boundary dual to the gravity in the bulk. In this paper, after
briefly reviewing the algorithm of gravity/fluid correspondence, we discuss the
results of its application on bulk gravity with a gauge field. In the
presence of a gauge field, the dual fluid possesses more interesting
properties such as its charge current. Furthermore, an external field
could affect the charge current, and the Chern-Simons term
also reinduces extra structures to the dual current giving anomalous transport
coefficients.Comment: 14 pages, no figure, version publishe
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