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Financial forecasting through data mining : a comparative evaluation of probabilistic neural networks and other models

Se Hak, Chun; Kim, Steven H. - In: The Korean economic review 18 (2002) 1, pp. 159-175

Persistent link: https://www.econbiz.de/10001708920

Neural and fuzzy models for economic forecasting : an econometric view and some practical experience

Landajo, Manuel - In: Fuzzy economic review : the review of the International … 5 (2000) 1, pp. 3-28

Persistent link: https://www.econbiz.de/10001780012

Forecasting economic magnitudes with neural network models

Alonso-Rodriguez, Agustin - In: International advances in economic research : IAER ; an … 5 (1999) 4, pp. 496-511

Persistent link: https://www.econbiz.de/10001490670

Forecasting economic magnitudes with neural network models

Alonso-Rodriguez, Agustin - In: International advances in economic research : IAER ; an … 5 (1999) 2, pp. 215-230

Persistent link: https://www.econbiz.de/10001432060

A model selection approach to real-time macroeconomic forecasting using linear models and artificial neural networks

Swanson, Norman R. - In: The review of economics and statistics 79 (1997) 4, pp. 540-550

Persistent link: https://www.econbiz.de/10001229897

Forecasting Macroeconomic Variables Using Artificial Neural Network and Traditional Smoothing Techniques

Önder, Emrah - 2013

empirical example is developed to forecast Turkey's eight important macroeconomic parameters. Time Series statistical theory and …

Persistent link: https://www.econbiz.de/10013082019

Economic Forecasting With Autoregressive Methods and Neural Networks

Chen, James Ming - 2020

Neural networks can forecast economic data with accuracy matching that of conventional autoregressive methods such as …

Persistent link: https://www.econbiz.de/10012843745

An Improved Neural Network Model in Forecasting Arrivals

Hong, Wei-Chiang - 2008

Tourism products, such as unfilled airline seats, unoccupied hotel rooms, and unused facilities, cannot be stocked because of their perishable nature (Archer 1987). Therefore, accurately forecasting demand, usually measured by the number of tourist arrivals, is essential in assisting managerial,...

Persistent link: https://www.econbiz.de/10012774329

Forecasting Economic Growth Using an Artificial Neural Network Model

Pradhan, Rudra Prakash - 2008

The paper employs Artificial Neural Network (ANN) to forecast India's economic growth. Using the data set, during 1980 …-2005, it finds that ANN is an effective tool to forecast the economic growth. The ANN gives the evidence that there is … comparison between ANN model and Linear Regression Model (LRM) to forecast the economic growth. The results confirmed that ANN …

Persistent link: https://www.econbiz.de/10012770336

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