Economic Forecasting *

Predicting Iran's economic growth rate using meta-analysis method

One of the most important issues for governments to maintain and improve their position in the regional and global economy is the state of economic growth; one of the important issues in this situation is to predict the rate of economic growth. Proper forecasting of economic growth has very important effects on government policy and economic planning, and can help policymakers decide on future ...

Forecasting GDP Growth Using ANN Model with Genetic Algorithm

Applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. Artificial Neural Networks (ANN) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. Most ANN models applied in Economics use the gradient descent method as their learning algorithm. However, t...

Nonlinearity In Exchange Rates and Forecasting

Epistemic participation: How to produce knowledge about the economic future

This article explores economic forecasting by examining the various social settings and networks economic forecasters are embedded in. It discusses how forecasters meet with political and economic actors and also how members of forecasting teams embody main aggregates of the economy to commonly produce a consensus about the economic future. The data underlying this article were collected from t...

Forecasting Economic Aggregates by Disaggregates

Forecasting Economic Aggregates by Disaggregates* We explore whether forecasting an aggregate variable using information on its disaggregate components can improve the prediction mean squared error over first forecasting the disaggregates and then aggregating those forecasts, or, alternatively, over using only lagged aggregate information in forecasting the aggregate. We show theoretically that...

Forecasting Stock Trend by Data Mining Algorithm

Stock trend forecasting is a one of the main factors in choosing the best investment, hence prediction and comparison of different firms’ stock trend is one method for improving investment process. Stockholders need information for forecasting firm’s stock trend in order to make decision about firms’ stock trading. In this study stock trend, forecasting performs by data mining algorithm. It sho...