Conditional variance decomposition of the forecast errors
Decomposition of variance in terms of conditional means
... Observe that the lowest value of quantity (4) achieved by one of the 300 sub- sets we selected, is higher than 0.14, while with the SOO choice of ten characters we achieved the value 0.12. The experiment shows that the ...
11
A Critical Note on the Forecast Error Variance Decomposition
... historical variance decomposition (HVD) of variables for business cycle ...latter decomposition is shown to provide a remedy to the problems related to ...
24
Natural gas consumption and economic growth: cointegration, causality and forecast error variance decomposition tests for Pakistan
... Mobile no. 0092-321-6493557 Abstract: This paper examines the relationship between natural gas consumption and economic growth in Pakistan using a multivariate model by including capital and labor as the control ...
27
Decomposing The Conditional Variance of Cross-Country Output
... the conditional variance were impacted both over time and as the entire set of covariates ...conditional variance. This approach is undertaken by implementing the decomposition holding ...
24
Does Trade Openness Affect Long Run Growth? Cointegration, Causality and Forecast Error Variance Decomposition Tests for Pakistan
... Variance Decomposition Method (VDM) It is argued in economic literature that the Granger causality approaches such as VECM Granger causality test has some ...generalized forecast error ...
58
Variance Forecast Performance Measures: An Economic Approach
... In this section we apply the economic loss-function defined in this paper towards comparison of the following forecasts: SV-CJ, two-factor model-based, one-factor model-based, reduced-form AR-7, exponential smoothing, ...
40
Tests for the equality of conditional variance functions in nonparametric regression
... 8 Conclusions In this paper, we constructed and studied six tests for the equality of k conditional variances. To do so, we compared the ECDF and ECF of the error terms estimated nonparametrically under H 0 and H ...
29
Conditional variance forecasts for long-term stock returns
... resp., ¯ Z −t (A) and ˆε 2 −t for the unconditional mean of Z t (A) and ˆε 2 t , resp. These are computed by removing k = 2T − 1 observations: ( T − 1 ) before the tth time point, t itself, and ( T − 1 ) after t. We need ...
23
Tests for the equality of conditional variance functions in nonparametric regression
... the variance functions, it is reasonable to assume that the covariates have common support, say ...the variance functions, the distribution of the errors and the distribution of the covariates are ...
26
Conditional variance function checking in heteroscedastic regression models.
... stant variance for the errors in a linear regression model based on nonparametric smoothing of the ...semi-parametric variance func- tion model in a fixed design regression ...the variance ...
135
Effect of Regressor Forecast Error on the Variance of Regression Forecasts
... obtain forecast standard errors that incorporate regressor forecast ...univariate forecast for each regressor (b) use a transfer function to reproduce a regression model containing those ...
14
Forecast combination for outlier protection and forecast combination under heavy tailed errors
... applications, forecast errors exhibit heavy tail be- ...with forecast combination for such situations. The familiar forecast combination methods such as simple average, least squares ...
119
Conditional Use Permit and Variance
... C Variance: As mentioned above, the applicant is requesting that the number of bicycle parking spaces be reduced from 48 to 20 and that they be allowed to be ...requested variance is that the location of ...
10
A Variance Decomposition for Stock Returns
... The discounting at rate p in equation (2.1) means that an increase in stock returns expected in the distant future is associated with a smaller drop in today's stock price than is an inc[r] ...
36
Fiscal forecast errors
... fiscal forecast error’s determinants with those produced by international organizations for a given ...for errors in macroeconomic forecasts, independent agencies’ fiscal forecasts should not be expected to ...
38
Nested analysis of variance with autocorrelated errors
... One approach to the analysis of such data is to treat time as the subplot treatment and use a split-plot analysis of variance.. Alternatively, the problem may be considered in a more gen[r] ...
23
Volatility and Revenue Forecast Errors
... Government issued a report on trends in revenue forecasting, in which Oregon and its kicker law played a central role ("States' Revenue Estimating: Cracks in the [r] ...
5
Changes in the Unconditional Variance and Autoregressive Conditional Heteroscedasticity
... unconditional variance is taken into account and different simulations with this process show that ARCH follows very frequently in conventional tests even with short episodes of higher ...
6
On the estimation of a monotone conditional variance in nonparametric regression
... and variance function are required because of physical ...the conditional variance is a function of the conditional mean, which depends monotonically on an explanatory ...monotone ...
25
Standard Errors for the Blinder-Oaxaca Decomposition
... Previously proposed estimators (Oaxaca/Ransom 1998; Greene 2003:53–54) produce biased results in most applications because they assume fixed regressors (as will be shown below).. Thus, n[r] ...
22