Soh, Ann-Ni (2020): A Review on the Leading Indicator Approach towards Economic Forecasting.
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Abstract
Economic cycle is defined as the fluctuation of an economy via expansion and contraction periods, influenced by varies kinds of macroeconomic indicators. The repeatable movement of economic indicators enables the accurate detection of these cycles with a forecasting approach that aims to improve economic development, especially by specific industries. Thus, economists and researchers have focused on the usefulness of the composite leading indicator in economic forecasting. It is regarded as a good illustration of an economic cycle or trend. This is due to its ease of use during the interpretation process, as several indicators can be aggregated and explained at once. This may provide useful insights for policy planning, risk monitoring and community development using the information gained from macroeconomic aggregates.
Item Type: | MPRA Paper |
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Original Title: | A Review on the Leading Indicator Approach towards Economic Forecasting |
English Title: | A Review on the Leading Indicator Approach towards Economic Forecasting |
Language: | English |
Keywords: | leading indicator; growth cycle; forecasting; composite indicator; early warning system |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E37 - Forecasting and Simulation: Models and Applications |
Item ID: | 103854 |
Depositing User: | Ann-Ni Soh |
Date Deposited: | 02 Nov 2020 15:41 |
Last Modified: | 02 Nov 2020 15:41 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/103854 |