forecast error variance decomposition
Does Trade Openness Affect Long Run Growth? Cointegration, Causality and Forecast Error Variance Decomposition Tests for Pakistan
... generalized forecast error variance decomposition method using vector autoregressive (VAR) system to test the strength of causal relationship between trade openness, financial development, ...
58
Natural gas consumption and economic growth: cointegration, causality and forecast error variance decomposition tests for Pakistan
... (forecast error variance decomposition and impulse response function) allows reinforcing and confirming the direction of causality of the ...
27
An empirical analysis of the transmission of market movements : linkages between equity markets in the Asia Pacific region : a thesis presented in partial fulfilment of the requirements for the degree of Master of Business Studies in Finance at Massey University
... Forecast error variance decomposition and impulse response analysis has been used to study the nature of the linkages between markets in the region, and the efficiency with which innovat[r] ...
173
Financial Spillovers Across Countries: Measuring shock transmissions
... Generalized Forecast Error Variance Decomposition (GFEVD), also lies on the same ...former decomposition needs an ordering-based orthogonalization procedure to ensure zero correlation ...
29
Exchange Rate Volatility, Currency Substitution and Monetary Policy in Nigeria
... Vector Error Correction (VEC) ...the forecast error variance decomposition functions suggest that exchange rate volatility and currency substitution responds to monetary policy with ...
34
An empirical analysis of the transmission of market movements : linkages between equity markets in the Asia Pacific region : a thesis presented in partial fulfilment of the requirements for the degree of Master of Business Studies in Finance at Massey University
... Forecast error variance decomposition and impulse response analysis has been used to study the nature of the linkages between markets in the region, and the efficiency with which innovat[r] ...
10
Impact of foreign direct investment on Thailand's trade and domestic private investment : a thesis presented in partial fulfilment of the requirements for the degree of Master in Applied and International Economics at Massey University
... The empirical results from forecast error variance decomposition analysis also indicate that imports, exports, domestic private investment, and foreign direct investments have inter-rela[r] ...
11
The Sources of Unemployment in Lesotho
... and forecast error variance decomposition (FEVD) re- vealed that shocks to price, demand, and labour supply significantly affect un- employment in the short/medium term in ...
29
Measuring spot variance spillovers when (co)variances are time varying the case of multivariate GARCH models
... construct variance spillover indices that are updated with time-t ...the forecast error variance decomposition that is derived from the vector moving average (VMA) representation of the ...
43
Structural Vector Autoregressive (SVAR) Analysis of Maize Prices and Extreme Weather Shocks
... and Forecast Error Variance Decomposition (FEVD) to examine the dynamic relationship between extreme weather indicators (minimum and maximum temperature and precipitation) and wholesale maize ...
10
Financial Development, Manufacturing Sector and Sustainability: Evidence from Nigeria
... the variance decomposition, showed that IRS and LLY forecast error shocks showed more variation in explaining the variation in MI in the within the period of 1 to 7; while SMCY shows more ...
8
Long Run Risk and Hidden Growth Persistence
... the forecast error variance of the long-run dividend growth rates into the sum of two ...the forecast error variance of the mean long-run dividend growth ...the forecast ...
52
Impact of Forecast Errors in CPFR Collaboration Strategy
... shares forecast, sales and inventory level information with the manufacturer as shown in Figure ...not forecast and uses this information to determine their production quantity during each ...the ...
6
Calibration and regression with nonconstant error variance
... For certain standard values of e and power of the mean variance function, Genstat [13] or the Generalized Linear Inter- active Modeling System (GLIM) [14] provide estimates based on iter[r] ...
36
Cointegration and dynamic linkages of international stock markets: an emerging market perspective
... This study investigates the long-run relationships and short-run dynamic linkages between the stock exchange of Egypt and its counterparts in Group of Seven (G7) countries, prior to and following the tragic events of ...
31
Evaluation of snow data assimilation using the ensemble Kalman filter for seasonal streamflow prediction in the western United States
... To provide a more in-depth examination of the SWE DA im- pacts to the watershed model states and fluxes, time series of runoff and SWE are shown in Figs. 8, 9, and 10 for three example basins, one for each region (the ...
16
Estimation of genetic parameters for female fertility traits in the Czech Holstein population
... Abstract: Genetic parameters for fertility traits in Czech Holstein population were estimated. The database obtained from the Czech-Moravian Breeders Corporation with 6 414 486 insemination records between years ...
8
A Comparative Simulation Study of ARIMA and Fuzzy Time Series Model for Forecasting Time Series Data
... The results shows the comparison between the proposed models versus classical models for long terms based on selected criterion of forecasting accuracy for simulated models. The distribution of different forecasting ...
8
Post-processing through linear regression
... between forecast data and ob- ...of forecast error, the optimal variability of the corrected forecast and ...duced error-in-variables (EVMOS) method and, finally, a “best member” OLS ...
14
Grid scale fluctuations and forecast error in wind power
... scaling error e z = z n M - z n G = ...original forecast time ...the forecast models using different parameterizations of the regional climate models or weather models, or other stochastic approaches ...
12