Skip to main navigation
Skip to search
Skip to main content
University of Birmingham Home
Help & FAQ
Home
Research output
Profiles
Research units
Projects
Activities
Datasets
Equipment
Prizes
Press/Media
Search by expertise, name or affiliation
The application of neural networks to the Divisia index debate: Evidence from three countries
A. M. Gazely,
J. M. Binner
*
*
Corresponding author for this work
Finance
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'The application of neural networks to the Divisia index debate: Evidence from three countries'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Divisia Index
100%
Divisia
100%
Neural Network Applications
100%
Inflation Forecasting
66%
Econometric Techniques
66%
Money Supply
66%
Macroeconomics
33%
Neural Network
33%
Functional Form
33%
Inflation
33%
Neural Network Method
33%
Substitution Effect
33%
Measurement Accuracy
33%
Artificial Neural Network
33%
Forecasting Model
33%
Divisia Monetary Aggregates
33%
Artificial Intelligence Techniques
33%
Index Measure
33%
Economic Activity
33%
Monetary Policy
33%
Liquidity
33%
Italian Economy
33%
UK Economy
33%
Inflation Models
33%
Macroeconomic Indicators
33%
Liquid Liabilities
33%
Federal Reserve Bank
33%
Economics, Econometrics and Finance
Inflation
100%
Money Supply
75%
Macroeconomics
25%
Substitution Effect
25%
Monetary Policy
25%