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Forecasting public expenditure by using feed-forward neural networks

Magdalena, Radulescu; Logica, Banica; Zamfiroiu, Tatiana - In: Economic research 28 (2015) 1, pp. 668-686

Persistent link: https://www.econbiz.de/10012220779

Macroeconomic forecasting using factor models and machine learning : an application to Japan

Maehashi, Kohei; Shintani, Mototsugu - 2020

Persistent link: https://www.econbiz.de/10013329759

Neural network analysis in forecasting the Malaysian GDP

Nur Azura Sanusi; Adzie Faraha Moosin; Suhal Kusairi - In: Journal of Asian finance, economics and business : JAFEB 7 (2020) 12, pp. 109-114

Persistent link: https://www.econbiz.de/10012671989

Macroeconomic forecasting using factor models and machine learning : an application to Japan

Maehashi, Kohei; Shintani, Mototsugu - In: Journal of the Japanese and international economies : … 58 (2020), pp. 1-17

Persistent link: https://www.econbiz.de/10012654966

Deep learning models for visibility forecasting using climatological data

Ortega, Luz C.; Otero, Luis Daniel; Solomon, Mitchell; … - In: International journal of forecasting 39 (2023) 2, pp. 992-1004

Persistent link: https://www.econbiz.de/10014465190

Multivariate macroeconomic forecasting : from DSGE and BVAR to artificial neural networks

Tänzer, Alina - 2024

This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward nonlinear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE)...

Persistent link: https://www.econbiz.de/10014532351

Macroeconomic forecasting and evaluation with supervised and neural network reinforced factor models

Umbach, Simon Lineu - 2021

Persistent link: https://www.econbiz.de/10013166034

Takeover prediction using forecast combinations

Rodrigues, Bruno Dore; Stevenson, Maxwell John - In: International journal of forecasting 29 (2013) 4, pp. 628-641

Persistent link: https://www.econbiz.de/10010212456

Application of artificial neural networks in tendency forecasting of economic growth

Feng, Lihua; Zhang, Jianzhen - In: Economic modelling 40 (2014), pp. 76-80

Persistent link: https://www.econbiz.de/10010425731

A Neural Network Ensemble Approach for GDP Forecasting

Longo, Luigi; Riccaboni, Massimo; Rungi, Armando - 2021

We propose an ensemble learning methodology to forecast the future US GDP growth release. Our approach combines a … crisis, as well as in the latest COVID-19 recession, by reducing the root mean squared error for the short-term forecast … the latter are potentially caused by recessions affecting the economy. For our scope, we employ a set of predictors …

Persistent link: https://www.econbiz.de/10013216959