Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A General Framework for Testing the Granger Noncausality Hypothesis |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
491 |
A Lagrange Multiplier Test for Testing the Adequacy of the Constant Conditional Correlation GARCH Model |
0 |
0 |
0 |
86 |
0 |
1 |
37 |
256 |
A Review of PC-GIVE: A Statistical Package for Econometric Modelling |
0 |
0 |
1 |
4 |
0 |
0 |
1 |
14 |
A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market |
0 |
0 |
0 |
56 |
0 |
0 |
2 |
171 |
A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market |
0 |
0 |
0 |
99 |
0 |
1 |
2 |
142 |
A Time Series Model for an Exchange Rate in a Target Zone with Applications |
0 |
0 |
0 |
324 |
0 |
0 |
3 |
891 |
A general framework for testing the Granger noncausality hypothesis |
0 |
0 |
0 |
258 |
0 |
0 |
2 |
934 |
A new GARCH model with a deterministic time-varying intercept |
0 |
0 |
27 |
27 |
1 |
3 |
22 |
22 |
A nonlinear time series model of El Niño |
0 |
0 |
0 |
27 |
0 |
1 |
1 |
1,098 |
A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model |
0 |
1 |
1 |
105 |
0 |
1 |
5 |
51 |
A simple nonlinear time series model with misleading linear properties |
0 |
0 |
0 |
20 |
0 |
0 |
1 |
1,214 |
A simple variable selection technique for nonlinear models |
0 |
0 |
0 |
59 |
2 |
2 |
3 |
1,818 |
A simple variable selection technique for nonlinear models |
0 |
0 |
0 |
7 |
0 |
1 |
3 |
458 |
A time series model for an exchange rate in a target zone with applications |
0 |
0 |
0 |
225 |
2 |
2 |
2 |
838 |
An Extended Constant Conditional Correlation GARCH Model and Its Fourth-Moment Structure |
0 |
0 |
0 |
161 |
0 |
1 |
3 |
1,244 |
An application of the analogy between vector ARCH and vector random coefficient autoregressive models |
0 |
0 |
0 |
275 |
0 |
0 |
0 |
706 |
An introduction to univariate GARCH models |
0 |
0 |
2 |
2,502 |
0 |
3 |
17 |
4,841 |
Another Look at Swedish Business Cycles, 1861-1988 |
0 |
0 |
0 |
26 |
1 |
1 |
3 |
330 |
Another Look at Swedish Business Cycles, 1861-1988 |
0 |
0 |
0 |
346 |
1 |
1 |
1 |
1,283 |
Building Neural Network Models for Time Series: A Statistical Approach |
0 |
0 |
0 |
1,106 |
0 |
1 |
4 |
2,639 |
Building neural network models for time series: A statistical approach |
0 |
0 |
0 |
2,763 |
0 |
1 |
3 |
6,848 |
Common factors in conditional distributions |
0 |
0 |
0 |
223 |
0 |
0 |
0 |
1,078 |
Common factors in conditional distributions for Bivariate time series |
0 |
0 |
0 |
240 |
0 |
0 |
1 |
607 |
Common factors in conditional distributions for Bivariate time series |
0 |
0 |
1 |
1 |
0 |
1 |
4 |
4 |
Comparing long monthly Chinese and selected European temperature series using the Vector Seasonal Shifting Mean and Covariance Autoregressive model |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
43 |
Comprehensive Testing of Linearity against the Smooth Transition Autoregressive Model |
0 |
1 |
1 |
17 |
0 |
2 |
2 |
45 |
Comprehensive Testing of Linearity against the Smooth Transition Autoregressive Model |
0 |
0 |
0 |
47 |
0 |
1 |
5 |
53 |
Conditional Correlation Models of Autoregressive Conditional Heteroskedasticity with Nonstationary GARCH Equations |
0 |
0 |
0 |
76 |
0 |
0 |
0 |
201 |
Conditional Correlation Models of Autoregressive Conditional Heteroskedasticity with Nonstationary GARCH Equations |
0 |
0 |
0 |
64 |
0 |
0 |
1 |
172 |
Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model |
0 |
0 |
1 |
46 |
0 |
0 |
2 |
142 |
Determining the Number of Regimes in a Threshold Autoregressive Model Using Smooth Transition Autoregressions |
0 |
0 |
0 |
721 |
0 |
5 |
5 |
1,397 |
Error correction in DHSY |
0 |
0 |
0 |
213 |
0 |
0 |
1 |
631 |
Evaluating GARCH Models |
0 |
0 |
1 |
815 |
0 |
0 |
3 |
1,385 |
Evaluating GARCH models |
0 |
0 |
0 |
324 |
1 |
1 |
2 |
2,105 |
Evaluating models of autoregressive conditional duration |
0 |
0 |
0 |
732 |
0 |
0 |
1 |
1,530 |
Financial sector and output dynamics in the euro area countries |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
30 |
Forecasting Macroeconomic Variables using Neural Network Models and Three Automated Model Selection Techniques |
0 |
0 |
1 |
351 |
0 |
1 |
3 |
633 |
Forecasting economic variables with nonlinear models |
0 |
0 |
2 |
899 |
0 |
1 |
8 |
1,880 |
Forecasting inflation with gradual regime shifts and exogenous information |
0 |
0 |
0 |
93 |
0 |
1 |
1 |
226 |
Forecasting inflation with gradual regime shifts and exogenous information |
0 |
0 |
1 |
298 |
0 |
0 |
4 |
577 |
Forecasting performance of three automated modelling techniques during the economic crisis 2007-2009 |
0 |
0 |
0 |
157 |
0 |
2 |
3 |
251 |
Forecasting the Outputof Finnish Forest Industries Using Business Survey Data |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
10 |
Forecasting with nonlinear time series models |
0 |
0 |
0 |
696 |
0 |
0 |
0 |
1,426 |
Forecasting with smooth transition autoregressive models |
0 |
0 |
0 |
62 |
0 |
0 |
5 |
1,533 |
Four Australian Banks and the Multivariate Time-Varying Smooth Transition Correlation GARCH model |
0 |
1 |
5 |
95 |
0 |
3 |
11 |
67 |
Fourth Moment Structure of a Family of First-Order Exponential GARCH Models |
0 |
0 |
0 |
49 |
0 |
0 |
0 |
994 |
Fourth Moment Structure of a Family of First-Order Exponential GARCH Models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
255 |
Fourth Moment Structure of the GARCH (p, q) Process |
0 |
0 |
0 |
81 |
0 |
0 |
1 |
1,388 |
Global Hemispheric Temperature Trends and Co–Shifting: A Shifting Mean Vector Autoregressive Analysis |
0 |
0 |
0 |
98 |
0 |
0 |
0 |
141 |
Global Hemispheric Temperatures and Co–Shifting: A Vector Shifting–Mean Autoregressive Analysis |
0 |
0 |
0 |
64 |
0 |
1 |
1 |
52 |
Higher-order dependence in the general Power ARCH process and a special case |
0 |
0 |
1 |
237 |
0 |
0 |
2 |
989 |
How to Use Preliminary Values in Forecasting the Monthly Index of Industrial Production? |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
18 |
Investigating Stability and Linearity of a German M1 Money Demand Function |
0 |
0 |
0 |
62 |
0 |
0 |
3 |
1,686 |
Investigating Stability and Linearity of a German M1 Money Demand Function |
0 |
0 |
0 |
69 |
0 |
0 |
1 |
400 |
Labour Hoarding Over the Business Cycle: Testing the Quadratic Adjustment Cost Hypothesis |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
19 |
Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination |
0 |
0 |
1 |
767 |
0 |
0 |
4 |
1,484 |
Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination |
0 |
0 |
0 |
240 |
0 |
0 |
1 |
1,498 |
Linearity and Misspecification Tests for Vector Smooth Transition Regression Models |
0 |
0 |
5 |
339 |
1 |
2 |
9 |
360 |
Linearity and misspecification tests for vector smooth transition regression models |
0 |
0 |
1 |
31 |
0 |
1 |
4 |
80 |
Long Monthly European Temperature Series and the North Atlantic Oscillation |
0 |
0 |
2 |
62 |
0 |
0 |
8 |
40 |
Long monthly temperature series and the Vector Seasonal Shifting Mean and Covariance Autoregressive model |
0 |
0 |
0 |
69 |
0 |
1 |
3 |
96 |
Modelling Changes in the Unconditional Variance of Long Stock Return Series |
0 |
0 |
0 |
108 |
0 |
1 |
2 |
264 |
Modelling Changes in the Unconditional Variance of Long Stock Return Series |
0 |
0 |
0 |
97 |
0 |
0 |
0 |
257 |
Modelling Conditional and Unconditional Heteroskedasticity with Smoothly Time-Varying Structure |
0 |
0 |
0 |
71 |
1 |
1 |
1 |
214 |
Modelling Conditional and Unconditional Heteroskedasticity with Smoothly Time-Varying Structure |
0 |
0 |
0 |
210 |
1 |
2 |
3 |
772 |
Modelling Conditional and Unconditional Heteroskedasticity with Smoothly Time-Varying Structure |
0 |
0 |
0 |
166 |
0 |
0 |
4 |
365 |
Modelling Economic High-Frequency Time Series |
0 |
0 |
0 |
296 |
0 |
0 |
0 |
765 |
Modelling Economic Relationships with Smooth Transition Regressions |
0 |
0 |
0 |
9 |
6 |
22 |
91 |
4,961 |
Modelling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH Model |
0 |
0 |
2 |
196 |
0 |
0 |
2 |
419 |
Modelling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH model |
0 |
0 |
0 |
304 |
0 |
1 |
2 |
1,234 |
Modelling Volatility by Variance Decomposition |
0 |
0 |
1 |
116 |
0 |
0 |
2 |
260 |
Modelling Volatility by Variance Decomposition |
0 |
0 |
1 |
184 |
0 |
1 |
4 |
451 |
Modelling and forecasting WIG20 daily returns |
0 |
0 |
1 |
17 |
0 |
0 |
2 |
64 |
Modelling and forecasting WIG20 daily returns |
0 |
0 |
0 |
34 |
1 |
1 |
4 |
99 |
Modelling asymmetries and moving equilibria in unemployment rates |
0 |
0 |
0 |
77 |
0 |
1 |
2 |
1,417 |
Modelling autoregressive processes with a shifting mean |
0 |
0 |
0 |
102 |
0 |
1 |
2 |
283 |
Modelling autoregressive processes with a shifting mean |
0 |
0 |
0 |
88 |
0 |
0 |
1 |
211 |
Modelling autoregressive processes with a shifting mean |
0 |
0 |
0 |
89 |
0 |
0 |
1 |
589 |
Modelling conditional correlations of asset returns: A smooth transition approach |
0 |
0 |
0 |
268 |
0 |
0 |
1 |
553 |
Modelling economic high-frequency time series with STAR-STGARCH models |
0 |
0 |
1 |
1,026 |
0 |
1 |
4 |
2,928 |
Modelling the Demand for M3 in the Unified Germany |
0 |
0 |
0 |
53 |
0 |
0 |
3 |
333 |
Modelling the Demand for M3 in the unified Germany |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
1,059 |
Models with Multiplicative Decomposition of Conditional Variances and Correlations |
0 |
0 |
0 |
53 |
0 |
1 |
3 |
124 |
Models with Multiplicative Decomposition of Conditional Variances and Correlations |
0 |
0 |
0 |
36 |
1 |
1 |
1 |
141 |
Multivariate Autoregressive Conditional Heteroskedasticity with Smooth Transitions in Conditional Correlations |
0 |
0 |
0 |
255 |
0 |
0 |
0 |
606 |
Multivariate Autoregressive Conditional Heteroskedasticity with Smooth Transitions in Conditional Correlations |
0 |
0 |
0 |
424 |
0 |
0 |
1 |
1,109 |
Multivariate GARCH models |
0 |
0 |
3 |
816 |
3 |
5 |
22 |
1,733 |
Multivariate GARCH models |
0 |
0 |
1 |
454 |
0 |
0 |
2 |
1,203 |
Nonlinear error-correction and the UK demand for broad money, 1878-1993 |
0 |
0 |
0 |
74 |
0 |
0 |
2 |
1,106 |
Nonlinear models for autoregressive conditional heteroskedasticity |
0 |
0 |
0 |
156 |
0 |
0 |
3 |
296 |
Nonlinear models in macroeconometrics |
2 |
2 |
5 |
382 |
2 |
2 |
7 |
168 |
Panel Smooth Transition Regression Models |
1 |
15 |
54 |
3,263 |
17 |
58 |
233 |
9,891 |
Panel Smooth Transition Regression Models |
1 |
2 |
14 |
255 |
2 |
8 |
46 |
933 |
Panel Smooth Transition Regression Models |
2 |
4 |
16 |
848 |
6 |
12 |
47 |
2,503 |
Parameterizing Unconditional Skewness in Models for Financial Time Series |
0 |
0 |
0 |
234 |
0 |
1 |
3 |
650 |
Parameterizing unconditional skewness in models for financial time series |
0 |
0 |
0 |
85 |
0 |
1 |
9 |
249 |
Positivity Constraints on the Conditional Variances in the Family of Conditional Correlation GARCH Models |
0 |
0 |
0 |
42 |
0 |
3 |
5 |
335 |
Power Properties of Linearity Tests for Time Series |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
923 |
Properties of Moments of a Family of GARCH Processes |
0 |
0 |
0 |
203 |
0 |
0 |
2 |
1,412 |
Properties of the Autocorrelation Function of Squared Observations for Second Order GARCH Processes under Two Sets of Parameter Constraints |
0 |
0 |
0 |
17 |
0 |
0 |
1 |
2,140 |
Short-Term Forecasting of Industrial Production with Business Survey Data: Experience from Finland's Great Depression |
0 |
0 |
1 |
3 |
0 |
1 |
4 |
35 |
Simulation-based finite-sample linearity test against smooth transition models |
0 |
0 |
0 |
121 |
0 |
1 |
3 |
820 |
Sir Clive Granger's contributions to nonlinear time series and econometrics |
0 |
0 |
0 |
223 |
0 |
0 |
0 |
82 |
Smooth Transition Autoregressive Models - A Survey of Recent Developments |
0 |
0 |
2 |
1,810 |
0 |
1 |
10 |
3,412 |
Smooth Transition Models |
0 |
0 |
0 |
3 |
0 |
2 |
4 |
1,549 |
Smooth transition autoregressive models - A survey of recent developments |
0 |
1 |
4 |
460 |
0 |
2 |
13 |
882 |
Some results on improving the least squares estimation of linear models by mixed estimation |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
17 |
Specification, Estimation and Evaluation of Vector Smooth Transition Autoregressive Models with Applications |
0 |
0 |
6 |
541 |
0 |
1 |
12 |
944 |
Specification, estimation and evaluation of vector smooth transition autoregressive models with applications |
0 |
4 |
13 |
106 |
0 |
5 |
27 |
295 |
Statistical Properties of the Asymmetric Power ARCH Process |
0 |
0 |
0 |
62 |
1 |
2 |
3 |
1,394 |
Statistical methods for modelling neural networks |
0 |
0 |
0 |
850 |
0 |
1 |
1 |
2,207 |
Stylized Facts of Daily Return Series and the Hidden Markov Model |
0 |
0 |
0 |
0 |
1 |
1 |
11 |
1,901 |
Stylized Facts of Financial Time Series and Three Popular Models of Volatility |
0 |
0 |
0 |
876 |
1 |
8 |
21 |
3,043 |
Stylized Facts of Return Series, Robust Estimates, and Three Popular Models of Volatility |
0 |
0 |
0 |
182 |
1 |
2 |
2 |
558 |
THE NET BARTER TERMS OF TRADE: A SMOOTH TRANSITION APPROACH |
0 |
0 |
0 |
87 |
0 |
0 |
2 |
2,360 |
Testing Linearity against Nonlinear Moving Average Models |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
1,743 |
Testing Linearity against Nonlinear Moving Average Models |
0 |
0 |
0 |
20 |
0 |
1 |
1 |
1,277 |
Testing Linearity of Economic Time Series against Cyclical A symmetry |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
28 |
Testing Parameter Constancy In Linear Models Against Stochastic Stationary Parameters |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
108 |
Testing Parameter Constancy and super Exogeneity in Econometric Equations |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
1,156 |
Testing Parameter Constancy in Linear Models against Stochastic Stationary Parameters |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
797 |
Testing constancy of the error covariance matrix in vector models |
0 |
0 |
0 |
223 |
1 |
1 |
1 |
1,251 |
Testing constancy of unconditional variance in volatility models by misspecification and specification tests |
0 |
0 |
0 |
72 |
0 |
1 |
2 |
107 |
Testing constancy of unconditional variance in volatility models by misspecification and specification tests |
0 |
0 |
0 |
23 |
0 |
0 |
2 |
48 |
Testing for Volatility Interactions in the Constant Conditional Correlation GARCH Model |
0 |
0 |
1 |
415 |
0 |
1 |
4 |
1,058 |
Testing parameter constancy in stationary vector autoregressive models against continuous change |
0 |
0 |
0 |
365 |
0 |
0 |
4 |
1,634 |
Testing parametric additive time-varying GARCH models |
5 |
5 |
5 |
5 |
3 |
3 |
3 |
3 |
Testing the Adequacy of Smooth Transition Autoregressive Models |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
1,471 |
Testing the Granger Noncausality Hypothesis in Stationary Nonlinear Models of Unknown Functional Form |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
27 |
Testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form |
0 |
0 |
0 |
177 |
0 |
1 |
2 |
498 |
Testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form |
0 |
0 |
0 |
112 |
0 |
0 |
0 |
239 |
The Shifting Seasonal Mean Autoregressive Model and Seasonality in the Central England Monthly Temperature Series, 1772-2016 |
0 |
0 |
0 |
31 |
0 |
0 |
2 |
60 |
The effects of institutional and technological change and business cycle fluctiations on seasonal patterns in quarterly industrial production series |
0 |
0 |
0 |
11 |
0 |
0 |
1 |
93 |
The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series |
0 |
0 |
0 |
204 |
0 |
0 |
2 |
967 |
The polynomial distributed lag revisited |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
20 |
Thresholds and Smooth Transitions in Vector Autoregressive Models |
0 |
1 |
4 |
880 |
1 |
8 |
20 |
1,702 |
Time-Varying Smooth Transition Autoregressive Models |
0 |
0 |
0 |
175 |
1 |
1 |
4 |
2,144 |
Transition from the Taylor rule to the zero lower bound |
0 |
0 |
0 |
40 |
0 |
0 |
1 |
111 |
Two Stylized Facts and the Garch (1,1) Model |
0 |
0 |
0 |
0 |
1 |
3 |
13 |
1,909 |
Unit roots, nonlinearities and structural breaks |
0 |
0 |
0 |
290 |
0 |
0 |
4 |
504 |
Univariate nonlinear time series models |
0 |
0 |
0 |
271 |
0 |
1 |
3 |
1,255 |
Total Working Papers |
11 |
37 |
189 |
36,630 |
60 |
217 |
936 |
134,544 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Lagrange multiplier test for testing the adequacy of constant conditional correlation GARCH model |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
22 |
A Note on Bias in the Almon Distributed Lag Estimator |
0 |
0 |
0 |
102 |
0 |
0 |
0 |
337 |
A Parsimonious Test of Constancy of a Positive Definite Correlation Matrix in a Multivariate Time-Varying GARCH Model |
0 |
0 |
0 |
3 |
0 |
3 |
4 |
10 |
A Smooth Transition Logit Model of The Effects of Deregulation in the Electricity Market |
0 |
0 |
1 |
22 |
0 |
2 |
4 |
93 |
A sequential procedure for determining the number of regimes in a threshold autoregressive model |
0 |
0 |
0 |
64 |
0 |
1 |
3 |
272 |
A simple nonlinear time series model with misleading linear properties |
0 |
0 |
0 |
259 |
0 |
1 |
6 |
537 |
A time series model for an exchange rate in a target zone with applications |
0 |
0 |
0 |
121 |
0 |
1 |
2 |
360 |
AN EXTENDED CONSTANT CONDITIONAL CORRELATION GARCH MODEL AND ITS FOURTH-MOMENT STRUCTURE |
0 |
0 |
1 |
36 |
0 |
0 |
3 |
125 |
Another Look at Swedish Business Cycles, 1861-1988 |
0 |
0 |
0 |
213 |
0 |
0 |
1 |
606 |
Building Multivariate Time-Varying Smooth Transition Correlation GARCH Models, with an Application to the Four Largest Australian Banks |
0 |
0 |
3 |
7 |
0 |
2 |
8 |
22 |
Building neural network models for time series: a statistical approach |
0 |
1 |
1 |
530 |
0 |
3 |
7 |
1,167 |
Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models |
1 |
1 |
4 |
948 |
1 |
7 |
18 |
2,007 |
Comments on N. R. Ericsson, D. F. Hendry and K.M. Prestwich, “The Demand for Broad Money in the United Kingdom, 1878–1993” |
0 |
0 |
1 |
2 |
0 |
1 |
2 |
8 |
Common factors in conditional distributions for bivariate time series |
0 |
0 |
0 |
109 |
0 |
0 |
2 |
293 |
Comparing long monthly Chinese and selected European temperature series using the Vector Seasonal Shifting Mean and Covariance Autoregressive model |
0 |
0 |
1 |
4 |
0 |
0 |
1 |
19 |
Comprehensively testing linearity hypothesis using the smooth transition autoregressive model |
0 |
1 |
1 |
6 |
0 |
1 |
1 |
10 |
Conditional Correlation Models of Autoregressive Conditional Heteroscedasticity With Nonstationary GARCH Equations |
0 |
0 |
1 |
18 |
0 |
2 |
4 |
88 |
Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model |
0 |
1 |
1 |
1 |
0 |
3 |
5 |
5 |
Evaluating GARCH models |
0 |
0 |
4 |
313 |
2 |
3 |
11 |
661 |
Evaluating Models of Autoregressive Conditional Duration |
0 |
0 |
0 |
107 |
0 |
0 |
3 |
248 |
FOURTH MOMENT STRUCTURE OF THE GARCH(p,q) PROCESS |
0 |
0 |
1 |
38 |
0 |
0 |
3 |
85 |
Forecasting Macroeconomic Variables Using Neural Network Models and Three Automated Model Selection Techniques |
0 |
0 |
0 |
19 |
0 |
4 |
7 |
63 |
Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009 |
0 |
0 |
1 |
38 |
0 |
1 |
4 |
125 |
Forecasting the Finnish Consumer Price Inflation Using Artificial Neural Network Models and Three Automated Model Selection Techniques |
0 |
0 |
3 |
47 |
2 |
2 |
6 |
118 |
Forecasting the consumption of alcoholic beverages in Finland: A box-Jenkins approach |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
111 |
Formation of Firms' Production Decisions in Finnish Manufacturing Industries |
0 |
0 |
0 |
13 |
0 |
0 |
1 |
158 |
Global hemispheric temperatures and co-shifting: A vector shifting-mean autoregressive analysis |
0 |
0 |
1 |
13 |
0 |
0 |
2 |
38 |
INTRODUCTION TO THE SPECIAL ISSUE: NONLINEAR MODELING OF MULTIVARIATE MACROECONOMIC RELATIONS |
0 |
2 |
2 |
17 |
0 |
3 |
4 |
61 |
Investigating Stability and Linearity of a German M1 Money Demand Function |
0 |
1 |
2 |
321 |
0 |
1 |
10 |
892 |
Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination |
0 |
0 |
0 |
300 |
0 |
1 |
7 |
655 |
Long memory and nonlinear time series |
0 |
0 |
0 |
81 |
0 |
0 |
1 |
203 |
Long monthly European temperature series and the North Atlantic Oscillation |
0 |
0 |
1 |
5 |
0 |
0 |
4 |
12 |
Long monthly temperature series and the Vector Seasonal Shifting Mean and Covariance Autoregressive model |
0 |
0 |
1 |
2 |
0 |
0 |
2 |
5 |
MINK AND MUSKRAT INTERACTION:A STRUCTURAL ANALYSIS |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
10 |
MODELING ASYMMETRIES AND MOVING EQUILIBRIA IN UNEMPLOYMENT RATES |
0 |
0 |
3 |
113 |
0 |
0 |
4 |
367 |
MOMENT STRUCTURE OF A FAMILY OF FIRST-ORDER EXPONENTIAL GARCH MODELS |
0 |
0 |
0 |
95 |
0 |
0 |
3 |
182 |
Modeling Conditional Correlations of Asset Returns: A Smooth Transition Approach |
0 |
0 |
0 |
43 |
0 |
1 |
3 |
109 |
Modeling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH Model |
0 |
0 |
0 |
160 |
0 |
0 |
3 |
410 |
Modeling The Demand For M3 In The Unified Germany |
0 |
0 |
1 |
143 |
0 |
0 |
1 |
420 |
Modelling Autoregressive Processes with a Shifting Mean |
0 |
0 |
0 |
103 |
0 |
0 |
0 |
270 |
Modelling Nonlinearity in U.S. Gross National Product 1889-1987 |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
1,283 |
Modelling and Forecasting WIG20 Daily Returns |
0 |
0 |
0 |
11 |
2 |
2 |
3 |
76 |
Modelling changes in the unconditional variance of long stock return series |
0 |
0 |
0 |
42 |
1 |
1 |
3 |
145 |
Modelling volatility by variance decomposition |
0 |
0 |
0 |
87 |
0 |
2 |
7 |
310 |
Non-linear error correction and the UK demand for broad money, 1878-1993 |
0 |
0 |
0 |
288 |
0 |
0 |
1 |
664 |
POWER OF THE NEURAL NETWORK LINEARITY TEST |
4 |
8 |
35 |
126 |
5 |
16 |
61 |
228 |
Parameterizing Unconditional Skewness in Models for Financial Time Series |
0 |
0 |
0 |
28 |
0 |
6 |
7 |
104 |
Positivity constraints on the conditional variances in the family of conditional correlation GARCH models |
0 |
0 |
0 |
55 |
0 |
1 |
3 |
193 |
Power Properties of Linearity Tests for Time Series |
0 |
0 |
0 |
169 |
0 |
0 |
1 |
384 |
Professor Clive W.J. Granger: An interview for the International Journal of Forecasting |
0 |
0 |
0 |
58 |
0 |
0 |
0 |
116 |
Properties of moments of a family of GARCH processes |
0 |
0 |
4 |
276 |
0 |
1 |
11 |
566 |
Properties of the Autocorrelation Function of Squared Observations for Second‐order Garch Processes Under Two Sets of Parameter Constraints |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
16 |
Reply |
0 |
0 |
0 |
24 |
0 |
0 |
4 |
92 |
SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS |
0 |
3 |
15 |
2,457 |
3 |
12 |
45 |
4,793 |
Short-term forecasting of industrial production with business survey data: experience from Finland's great depression 1990-1993 |
0 |
0 |
2 |
33 |
0 |
1 |
3 |
116 |
Simulation‐based Finite Sample Linearity Test against Smooth Transition Models* |
0 |
0 |
0 |
115 |
0 |
0 |
1 |
327 |
Sir Clive William John Granger, 1934-2009 |
0 |
0 |
0 |
16 |
0 |
0 |
11 |
99 |
Specification and testing of multiplicative time-varying GARCH models with applications |
0 |
0 |
3 |
30 |
0 |
1 |
6 |
84 |
Stylized facts of daily return series and the hidden Markov model |
0 |
0 |
2 |
439 |
0 |
0 |
6 |
1,061 |
Stylized facts of return series, robust estimates and three popular models of volatility |
0 |
0 |
1 |
66 |
2 |
3 |
4 |
170 |
Testing Parameter Constancy and Super Exogeneity in Econometric Equations |
0 |
0 |
0 |
1 |
0 |
0 |
8 |
477 |
Testing Parameter Constancy in Stationary Vector Autoregressive Models Against Continuous Change |
0 |
0 |
0 |
139 |
0 |
2 |
6 |
390 |
Testing constancy of the error covariance matrix in vector models |
0 |
0 |
0 |
70 |
1 |
1 |
1 |
191 |
Testing constancy of unconditional variance in volatility models by misspecification and specification tests |
0 |
0 |
1 |
11 |
0 |
0 |
3 |
56 |
Testing for volatility interactions in the Constant Conditional Correlation GARCH model |
0 |
0 |
0 |
177 |
0 |
0 |
4 |
614 |
Testing parameter constancy in linear models against stochastic stationary parameters |
0 |
0 |
0 |
38 |
0 |
1 |
1 |
136 |
Testing the adequacy of smooth transition autoregressive models |
0 |
1 |
2 |
672 |
0 |
4 |
11 |
1,287 |
Testing the constancy of regression parameters against continuous structural change |
0 |
0 |
3 |
400 |
0 |
1 |
8 |
921 |
The Effect of the North Atlantic Oscillation on Monthly Precipitation in Selected European Locations: A Non‐Linear Time Series Approach |
0 |
0 |
1 |
1 |
0 |
1 |
5 |
5 |
The International Institute of Forecasters Award for the Best Forecasting Paper |
0 |
0 |
0 |
13 |
0 |
1 |
3 |
73 |
The Polynomial Distributed Lag Revisited |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
380 |
The combination of forecasts using changing weights |
0 |
0 |
1 |
379 |
0 |
0 |
3 |
761 |
The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series |
0 |
0 |
0 |
84 |
0 |
0 |
5 |
468 |
The extended Stein procedure for simultaneous model selection and parameter estimation |
0 |
0 |
1 |
43 |
0 |
1 |
2 |
149 |
The net barter terms of trade: A smooth transition approach |
0 |
0 |
0 |
290 |
0 |
0 |
3 |
1,487 |
The shifting seasonal mean autoregressive model and seasonality in the Central England monthly temperature series, 1772–2016 |
0 |
0 |
1 |
7 |
1 |
1 |
4 |
30 |
Time-Varying Smooth Transition Autoregressive Models |
0 |
0 |
0 |
8 |
1 |
3 |
5 |
1,687 |
Transition from the Taylor rule to the zero lower bound |
0 |
0 |
1 |
5 |
0 |
0 |
4 |
14 |
Underestimation of mean square error matrix in misspecified linear models |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
65 |
Use of preliminary values in forecasting industrial production |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
92 |
Usefulness of proxy variables in linear models with stochastic regressors |
0 |
0 |
0 |
18 |
0 |
1 |
1 |
73 |
Working With Clive Granger: Two Short Memories |
0 |
0 |
0 |
47 |
0 |
0 |
1 |
88 |
Total Journal Articles |
5 |
19 |
108 |
11,205 |
21 |
108 |
411 |
31,455 |