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-- Part II. The status of machine learning methods for time series and new products forecasting -- 3. Forecasting with … Forecasting -- Part III. Global forecasting models -- 5. Forecasting in Big Data with Global Forecasting Models -- 6. How to … leverage data for Time Series Forecasting with Artificial Intelligence models: Illustrations and Guidelines for Cross …
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Central bank intervention in the form of quantitative easing (QE) during times of low interest rates is a controversial topic. This paper introduces a novel approach to study the effectiveness of such unconventional measures. Using U.S. data on six key financial and macroeconomic variables...
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This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools … Greenbook and SPF forecasts. Model estimation and forecasting is based on an expanding window scheme using quarterly U.S. real … results indicate that nonlinear data-driven ANNs are a useful method when it comes to macroeconomic forecasting. …
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This article aims to explore the main areas of research, development trends and provide a systematic overview of publications in the field of artificial intelligence in financial markets. The bibliometric tool VOSViewer is used in this paper. We analyzed 353 articles and contributions obtained...
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