Forecasting price levels in india–an arima framework

A Banerjee - Academy of Marketing Studies Journal, 2021 - search.proquest.com
The monitoring of price level is important for keeping the economic condition of a country
under control. This paper uses the monthly time series data on Indian Consumer Price Index …

Inflation prediction method based on deep learning

C Yang, S Guo - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
Forward‐looking forecasting of the inflation rate could help the central bank and other
government departments to better use monetary policy to stabilize prices and prevent the …

[HTML][HTML] Price prediction of the Borsa Istanbul banks index with traditional methods and artificial neural networks

IU Armagan - Borsa Istanbul Review, 2023 - Elsevier
In terms of asset size, the banking system constitutes 83% of the financial markets in Turkiye.
Given the importance of the banking system in the Turkish capital market, this study offers a …

[PDF][PDF] Backpropagation on neural network method for inflation rate forecasting in Indonesia

NR Sari, WF Mahmudy, AP Wibawa - Int. J. Soft Comput. Its Appl, 2016 - researchgate.net
Inflation is the increase of prices of goods that can affect other prices of goods. Inflation is a
main economic problem often faced by society. This economic problem could cause …

[PDF][PDF] Penerapan Extreme Learning Machine (ELM) untuk Peramalan Laju Inflasi di Indonesia

FIN INDONESIA - Jurnal Teknologi Informasi dan Ilmu Komputer …, 2019 - researchgate.net
Inflasi merupakan salah satu indikator untuk mengukur perkembangan suatu bangsa.
Apabila inflasi tidak terkontrol akan memberikan banyak dampak negative terhadap …

A hybrid neuro-fuzzy model to forecast inflation

D Enke, N Mehdiyev - Procedia Computer Science, 2014 - Elsevier
One of the key issues in constructing monetary policy is accurate prediction of the inflation
level. The complex behavior and non-linear nature of the financial markets makes it hard to …

Forecasting inflation in Latin American countries using a SARIMA–LSTM combination

R Peirano, W Kristjanpoller, MC Minutolo - Soft Computing, 2021 - Springer
Inflation forecasting has been and continues to be an important issue for the world's
economies. Governments, through their central banks, watch closely inflation indicators to …

Forecasting inflation rates be extreme gradient boosting with the genetic algorithm

YS Li, PF Pai, YL Lin - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
One of the most important objectives of monetary institutions is to maintain price stability in
countries or regions. Hyperinflation and deflation have adverse influences on economic …

ARIMA modeling and forecasting of Consumer Price Index (CPI) in Germany

T Nyoni - 2019 - mpra.ub.uni-muenchen.de
This paper uses annual time series data on CPI in Germany from 1960 to 2017, to model
and forecast CPI using the Box–Jenkins ARIMA technique. Diagnostic tests indicate that the …

[PDF][PDF] Jatropha curcas disease identification with extreme learning machine

TH Saragih, DMN Fajri, WF Mahmudy… - Indones. J. Electr. Eng …, 2018 - academia.edu
Jatropha is a plant that has many functions, but this plant can be attacked by various
diseases. Expert systems can be applied in identifying so that can help both farmers and …