188宝金博页面版

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188宝金博页面版: A Review of Nowcasting, Forecasting and AI in Economic Indicator Prediction_2026_zge Var

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内容提示: Computational Economicshttps://doi.org/10.1007/s10614-026-11380-1Extended author information available on the last page of the articleReceived: 14 August 2024 / Accepted: 31 May 2026? The Author(s) 2026A Review of Nowcasting, Forecasting and AI in Economic Indicator Prediction?zge?Var 1 ?· Alptekin?Durmu?o?lu 2 ?· Türkay?Dereli 3AbstractAccurate and timely assessments of economic indicators are essential to provide an early analysis of the economic situations. Therefore, forecasting and nowcast...

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Computational Economicshttps://doi.org/10.1007/s10614-026-11380-1Extended author information available on the last page of the articleReceived: 14 August 2024 / Accepted: 31 May 2026© The Author(s) 2026A Review of Nowcasting, Forecasting and AI in Economic Indicator PredictionÖzge Var 1  · Alptekin Durmu?o?lu 2  · Türkay Dereli 3AbstractAccurate and timely assessments of economic indicators are essential to provide an early analysis of the economic situations. Therefore, forecasting and nowcast-ing applications with the Artif i cial Intelligence (AI) and Machine Learning (ML) technologies, which are of f ering enhanced accuracy and timeliness in predictions, have been widely used. The emerging chatbot technologies provide new insights in searching for data and generating information in these applications. This study conducts a comprehensive literature review to explore the use of AI and chatbot technologies in forecasting and nowcasting applications for economic and fi nan-cial indicators. The “nowcasting”, “forecasting”, “artif i cial intelligence”, “chatbot”, “chat”, and “bot” are searched on the Web of Science (WoS) database. The 111 studies on the topic are reviewed according to dependent variable, AI model, and main fi ndings. The results indicated that the AI models increased the accuracy of the forecasting and nowcasting applications compared to the traditional time series models. However, the data availability remains a signif i cant concern. The use of chatbots in predictions limited with the conceptual studies. Therefore, the forecast-ing performances of ChatGPT and Google Gemini in EU Gross Domestic Product (GDP- current prices) and unemployment rate were evaluated. They showed good predicting performances according to mean absolute percentage error (MAPE). The promising prediction accuracies provided by AI models can contribute to the deci-sion making process of the policy makers, consumers, and investors. These fi ndings can also be valuable guidance for the technical applications of AI and chatbot in forecasting and nowcasting.Keywords Artif i cial Intelligence · Chatbot · Forecasting · Nowcasting

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