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[PDF] Top 20 Modeling and forecasting inflation in Burundi using ARIMA models

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Modeling and forecasting inflation in Burundi using ARIMA models

Modeling and forecasting inflation in Burundi using ARIMA models

... Irish inflation using ARIMA models with quarterly data ranging over the period 1976 to 1998 and illustrated some practical issues in ARIMA time series ...studied inflation in ... See full document

10

Modeling and forecasting inflation in Philippines using ARIMA models

Modeling and forecasting inflation in Philippines using ARIMA models

... the inflation targeting (IT) framework which was adopted in 2002 (Allon, 2015) and such a dynamic change was to be complimented by the ability to forecast the future path of inflation in the ...and ... See full document

14

Modeling and forecasting inflation in Tanzania using ARIMA models

Modeling and forecasting inflation in Tanzania using ARIMA models

... Controlling inflation within acceptable rates is one of the major macroeconomic policies in Tanzania (Laryea & Sumaila, ...in inflation rates and is yet to permanently secure the target average of 0 to ... See full document

12

Modeling and forecasting inflation in Lesotho using Box Jenkins ARIMA models

Modeling and forecasting inflation in Lesotho using Box Jenkins ARIMA models

... studied inflation in Zimbabwe using GARCH models with a data set ranging over the period July 2009 to July 2018 and established that there is evidence of volatility persistence for Zimbabwe ’ s ... See full document

11

Evaluation of Accuracy in Identification of ARIMA Models Based on Model Selection Criteria for Inflation Forecasting with the TSClust Approach

Evaluation of Accuracy in Identification of ARIMA Models Based on Model Selection Criteria for Inflation Forecasting with the TSClust Approach

... in ARIMA modeling is the use of model selection criteria to choose the best ARIMA ...best ARIMA models that are different so it can be difficult to choose the best model to be ...the ... See full document

5

Modeling and Forecasting of Carbon Dioxide Emissions in Bangladesh Using Autoregressive Integrated Moving Average (ARIMA) Models

Modeling and Forecasting of Carbon Dioxide Emissions in Bangladesh Using Autoregressive Integrated Moving Average (ARIMA) Models

... of ARIMA ( p , d , q ) model were tried to analyze the forty-four-year data (1972 to 2015) of carbon dioxide emission and the best fitted model is accepted on the basis of minimum value of all selection criteria ... See full document

8

Modelling and forecasting volatile data by using ARIMA and GARCH models

Modelling and forecasting volatile data by using ARIMA and GARCH models

... Crude oil prices are volatile time series. The prices just like any other volatile commodity have huge price swings in periods of oversupply or shortage. The crude oil prices cycle may last over several years responding ... See full document

26

MODELING AND FORECASTING VOLATILITY OF PRICE INFLATION IN ETHIOPIA USING GARCH FAMILY MODELS

MODELING AND FORECASTING VOLATILITY OF PRICE INFLATION IN ETHIOPIA USING GARCH FAMILY MODELS

... to inflation volatility in Ethiopia because the parameter is positive and statistically significant at 1% ...of inflation volatility in ...with inflation volatility in Ethiopia because the parameter ... See full document

10

Forecasting Inflation and Economic Growth of Pakistan by Using Two Time Series Methods

Forecasting Inflation and Economic Growth of Pakistan by Using Two Time Series Methods

... on forecasting macroeconomic variables but also investigating the performance of alternative model through out-of-sample ...following models have been considered in forecasting inflation: ... See full document

5

Predicting inflation in the Kingdom of Bahrain using ARIMA models

Predicting inflation in the Kingdom of Bahrain using ARIMA models

... price inflation using Artificial Neural Network models with a data set ranging over the period March 1960 – December 2009 and established that direct forecasts are more accurate then their recursive ... See full document

11

Modeling rates of inflation in Nigeria: an application of ARMA, ARIMA and GARCH models

Modeling rates of inflation in Nigeria: an application of ARMA, ARIMA and GARCH models

... and forecasting, for example; Mean Error (ME), Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE); however, this study will only be restricted to the most commonly ... See full document

30

Modeling and forecasting carbon dioxide emissions in China using Autoregressive Integrated Moving Average (ARIMA) models

Modeling and forecasting carbon dioxide emissions in China using Autoregressive Integrated Moving Average (ARIMA) models

... (2017), using time series data of 44 years from 1972 - 2015 based on ARIMA models; uncovered that the ARIMA (0, 2, 1) model is the optimal model for modeling and forecasting ... See full document

13

Modeling and Forecasting of Ghana’s Inflation Volatility

Modeling and Forecasting of Ghana’s Inflation Volatility

... GARCH models results in issue of conver- gence as some of the diagonals of the matrix of these parameters are ...these models are most often ...findings, using Ghana’s inflation data, suggest ... See full document

20

SOFTWARE CONFIGURATION MANAGEMENT PRACTICE IN MALAYSIA

SOFTWARE CONFIGURATION MANAGEMENT PRACTICE IN MALAYSIA

... of inflation in Semarang district on January 2014 - April 2016 ...unstable. Inflation which unstable will impede the economic development in Semarang district, therefore need to be undertaken against the ... See full document

16

Predicting inflation in Sri Lanka using ARMA models

Predicting inflation in Sri Lanka using ARMA models

... forecasted inflation rate in Nigeria using Box-Jenkins ARIMA models with a data set ranging over the period January 2006 to December 2015 and showed that the ARIMA (0, 1, 1) model was ... See full document

10

Forecasting total population in Yemen using Box Jenkins ARIMA models

Forecasting total population in Yemen using Box Jenkins ARIMA models

... 2015). The problem of population growth is basically not a problem of numbers but that of human welfare as it affects the provision of welfare and development. The consequences of rapidly growing population manifests ... See full document

16

An Empirical Investigation of Arima and Garch Models in Agricultural Price Forecasting

An Empirical Investigation of Arima and Garch Models in Agricultural Price Forecasting

... (ARCH) models are used whenever there is reason to believe that, at any point in a series, the terms will have a characteristic size, or ...ARCH models assume the variance of the current error term to be a ... See full document

14

Applicability of ARIMA Models in Wholesale Wheat Market of
Rajasthan: An Investigation

Applicability of ARIMA Models in Wholesale Wheat Market of Rajasthan: An Investigation

... to forecasting is one such approach which relies on the past pattern in a time series to forecast prices in the ...univariate ARIMA models in agricultural price ...attempted forecasting of ... See full document

5

Modeling and forecasting remittances in Bangladesh using the Box Jenkins ARIMA methodology

Modeling and forecasting remittances in Bangladesh using the Box Jenkins ARIMA methodology

... Nigeria using annual data from 1977 to 2009 and employed the ARIMA technique and revealed that remittances into Nigeria in the coming years will grow at an average of 6% per annum with its size as a ... See full document

12

A Hybrid Neural Network and ARIMA Model for Energy Consumption Forecasting

A Hybrid Neural Network and ARIMA Model for Energy Consumption Forecasting

... an ARIMA model was ...the ARIMA model were modeled by using a neural network ...the ARIMA model cannot detect the nonlinear structure of the energy consumption time series data, the residuals ... See full document

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