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Inflation forecasting in the Western Balkans and EU : a comparison of Holt-Winters, ARIMA and NNAR models
Karadzic, Vesna; Pejovic, Bojan - In: Amfiteatru economic : an economic and business research … 23 (2021) 57, pp. 517-532
policy is not implemented in the same way and the NNAR models are better for inflation forecasting. …
Persistent link: https://www.econbiz.de/10012939069
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Forecasting inflation in Mongolia : a dynamic model averaging approach
Doojav, Gan-Ochir; Luvsannyam, Davaajargal - In: Journal of time series econometrics 15 (2023) 1, pp. 27-48
Persistent link: https://www.econbiz.de/10014288359
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Time series forecasting using a moving average model for extrapolation of number of tourist
Ivanovski, Zoran; Milenkovski, Ace; Narasanov, Zoran - In: UTMS journal of economics / University of Tourism and … 9 (2018) 2, pp. 121-132
important include macroeconomic and financial time series. In this paper we are testing forecasting capacity of the time series … forecasting the number of tourist guests for the next year. …
Persistent link: https://www.econbiz.de/10012178433
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Modeling the Nigerian inflation rates using periodogram and Fourier Series Analysis
Omekara, Chukwuemeka O.; Ekpenyong, Emmanuel J.; … - In: CBN journal of applied statistics 4 (2013) 2, pp. 51-68
This work considers the application of Periodogram and Fourier Series Analysis to model all-items monthly inflation rates in Nigeria from 2003 to 2011. The main objectives are to identify inflation cycles, fit a suitable model to the data and make forecasts of future values. To achieve these...
Persistent link: https://www.econbiz.de/10011474361
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Forecasting the volatilities of the Nigeria stock market prices
Ibrahim, Sikiru O. - In: CBN journal of applied statistics 8 (2017) 2, pp. 23-45
the Nigeria stock market. The EGARCH model is found to be the most efficient for forecasting volatilities and has the … years. The forecasting performance shows the volatility in the Nigeria stock market to be on the increase for the next four …
Persistent link: https://www.econbiz.de/10011843540
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Bayesian averaging vs. dynamic factor models for forecasting economic aggregates with tendency survey data
Bialowolski, Piotr; Kuszewski, Tomasz; Witkowski, Bartosz - 2015
The article compares forecast quality from two atheoretical models. Neither method assumed a priori causality and forecasts were generated without additional assumptions about regressors. Tendency survey data was used within the Bayesian averaging of classical estimates (BACE) framework and...
Persistent link: https://www.econbiz.de/10011349021
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Automatic time series modeling and forecasting: a replication case study of forecasting real GDP, the unemployment rate and the impact of leading economic indicators
Guerard, John Baynard; Thomakos, Dimitrios D.; Kyriazi, … - In: Cogent economics & finance 8 (2020) 1, pp. 1-20
We test and report on time series modelling and forecasting using several US. Leading economic indicators (LEI) as an … input to forecasting real US. GDP and the unemployment rate. These time series have been addressed before, but our results … unemployment rate series. We tested the forecasting ability of best univariate and best bivariate models over 60- and 120-period …
Persistent link: https://www.econbiz.de/10012214684
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Bivariate volatility modeling with high-frequency data
Matei, Marius; Rovira, Xari; Agell, Núria - In: Econometrics : open access journal 7 (2019) 3/41, pp. 1-15
volatility information improves the day volatility estimation. The results indicate a forecasting improvement using bivariate …
Persistent link: https://www.econbiz.de/10012160811
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Estimating and forecasting the impact of inflation on economic growth in Nigeria using threshold analysis
Okoroafor, David O. K.; Adeniji, Sesan O.; Olasehinde, … - In: CBN journal of applied statistics 9 (2018) 1, pp. 1-22
forecasting of inflation in Nigeria for the period of 1961 { 2016. The study employed Granger causality test, Au- toregressive … inflation threshold of 14% -15% both in the short run and long run was established for Nigeria. As for the forecasting of …
Persistent link: https://www.econbiz.de/10011922677
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The D-model for GDP nowcasting
Degiannakis, Stavros - In: Swiss journal of economics and statistics 159 (2023) 1, pp. 1-33
The paper provides a disaggregated mixed-frequency framework for the estimation of GDP. The GDP is disaggregated into components that can be forecasted based on information available at higher sampling frequency, i.e., monthly, weekly, or daily. The model framework is applied for Greek GDP...
Persistent link: https://www.econbiz.de/10014506547