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This paper presents different deep neural network architectures designed to forecast the distribution of returns on a portfolio of U.S. Treasury securities. A long short-term memory model and a convolutional neural network are tested as the main building blocks of each architecture. The models...
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The primary objective of this research is to obtain an accurate forecasting model for the US presidential election. To …
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