| 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 |
3 |
5 |
14 |
312 |
| A Simple variable selection technique for nonlinear models |
0 |
0 |
0 |
0 |
11 |
18 |
85 |
320 |
| A Time Series Model for an Exchange Rate in a Target Zone with Applications |
2 |
6 |
39 |
274 |
10 |
23 |
111 |
673 |
| A general framework for testing the Granger noncausality hypothesis |
1 |
3 |
13 |
225 |
2 |
4 |
24 |
755 |
| A nonlinear time series model of El Niño |
0 |
0 |
0 |
27 |
6 |
13 |
57 |
876 |
| A simple nonlinear time series model with misleading linear properties |
0 |
0 |
0 |
20 |
5 |
25 |
83 |
963 |
| A simple variable selection technique for nonlinear models |
0 |
0 |
0 |
59 |
21 |
45 |
140 |
1,472 |
| A time series model for an exchange rate in a target zone with applications |
0 |
0 |
0 |
225 |
4 |
8 |
56 |
670 |
| An Extended Constant Conditional Correlation GARCH Model and Its Fourth-Moment Structure |
0 |
0 |
0 |
161 |
5 |
19 |
97 |
964 |
| An application of the analogy between vector ARCH and vector random coefficient autoregressive models |
1 |
1 |
8 |
242 |
8 |
16 |
45 |
556 |
| An introduction to univariate GARCH models |
30 |
86 |
462 |
1,407 |
65 |
178 |
852 |
2,309 |
| Another Look at Swedish Business Cycles, 1861-1988 |
1 |
4 |
14 |
280 |
5 |
12 |
36 |
1,093 |
| Another Look at Swedish Business Cycles, 1861-1988 |
0 |
0 |
0 |
32 |
0 |
1 |
3 |
295 |
| Building Neural Network Models for Time Series: A Statistical Approach |
10 |
23 |
110 |
841 |
26 |
62 |
262 |
1,829 |
| Building neural network models for time series: A statistical approach |
17 |
29 |
205 |
2,372 |
50 |
96 |
588 |
5,358 |
| Common Factors in Conditional Distributions |
3 |
4 |
14 |
256 |
5 |
9 |
37 |
612 |
| Common factors in conditional distributions |
0 |
0 |
0 |
223 |
1 |
12 |
53 |
975 |
| Common factors in conditional distributions for Bivariate time series |
2 |
6 |
15 |
174 |
7 |
15 |
37 |
393 |
| Determining the Number of Regimes in a Threshold Autoregressive Model Using Smooth Transition Autoregressions |
5 |
18 |
91 |
554 |
11 |
34 |
173 |
996 |
| Error correction in DHSY |
0 |
3 |
15 |
180 |
2 |
7 |
44 |
472 |
| Evaluating GARCH Models |
4 |
9 |
67 |
677 |
7 |
17 |
105 |
1,084 |
| Evaluating GARCH models |
0 |
0 |
0 |
324 |
3 |
11 |
52 |
1,867 |
| Evaluating models of autoregressive conditional duration |
4 |
15 |
55 |
625 |
13 |
35 |
110 |
1,241 |
| Forecasting economic variables with nonlinear models |
7 |
32 |
118 |
616 |
17 |
67 |
252 |
1,189 |
| Forecasting inflation with gradual regime shifts and exogenous information |
15 |
41 |
152 |
152 |
30 |
84 |
214 |
214 |
| Forecasting with smooth transition autoregressive models |
0 |
0 |
0 |
62 |
8 |
15 |
69 |
1,241 |
| Fourth Moment Structure of a Family of First-Order Exponential GARCH Models |
0 |
0 |
0 |
0 |
2 |
6 |
29 |
154 |
| Fourth Moment Structure of a Family of First-Order Exponential GARCH Models |
0 |
0 |
0 |
49 |
3 |
7 |
43 |
821 |
| Fourth Moment Structure of the GARCH (p, q) Process |
0 |
0 |
0 |
81 |
4 |
9 |
48 |
1,166 |
| Generalizing Threshold Autoregressive Models |
0 |
0 |
0 |
0 |
0 |
3 |
12 |
271 |
| Higher-order dependence in the general Power ARCH process and a special case |
3 |
4 |
13 |
202 |
5 |
12 |
46 |
875 |
| Investigating Stability and Linearity of a German M1 Money Demand Function |
0 |
0 |
0 |
99 |
2 |
6 |
21 |
411 |
| Investigating Stability and Linearity of a German M1 Money Demand Function |
0 |
0 |
0 |
62 |
4 |
22 |
89 |
1,325 |
| Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination |
6 |
20 |
67 |
562 |
6 |
23 |
104 |
1,023 |
| Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination |
0 |
0 |
0 |
240 |
9 |
24 |
109 |
1,119 |
| Modelling Conditional and Unconditional Heteroskedasticity with Smoothly Time-Varying Structure |
2 |
3 |
21 |
36 |
3 |
8 |
48 |
61 |
| Modelling Conditional and Unconditional Heteroskedasticity with Smoothly Time-Varying Structure |
3 |
8 |
33 |
95 |
17 |
37 |
136 |
247 |
| Modelling Conditional and Unconditional Heteroskedasticity with Smoothly Time-Varying Structure |
2 |
11 |
38 |
89 |
4 |
18 |
69 |
139 |
| Modelling Economic High-Frequency Time Series |
1 |
6 |
23 |
243 |
1 |
10 |
42 |
652 |
| Modelling Economic Relationships with Smooth Transition Regressions |
0 |
0 |
0 |
9 |
22 |
59 |
269 |
1,576 |
| Modelling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH Model |
5 |
14 |
44 |
60 |
10 |
25 |
103 |
137 |
| Modelling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH model |
9 |
32 |
98 |
292 |
22 |
86 |
264 |
751 |
| Modelling Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models |
0 |
0 |
0 |
3 |
1 |
4 |
31 |
268 |
| Modelling asymmetries and moving equilibria in unemployment rates |
0 |
0 |
0 |
77 |
3 |
6 |
46 |
1,140 |
| Modelling autoregressive processes with a shifting mean |
3 |
7 |
22 |
44 |
4 |
10 |
34 |
79 |
| Modelling autoregressive processes with a shifting mean |
4 |
8 |
23 |
48 |
4 |
12 |
38 |
103 |
| Modelling autoregressive processes with a shifting mean |
0 |
0 |
0 |
89 |
10 |
23 |
70 |
354 |
| Modelling economic high-frequency time series with STAR-STGARCH models |
8 |
20 |
89 |
822 |
13 |
33 |
178 |
2,393 |
| Modelling the Demand for M3 in the Unified Germany |
0 |
0 |
0 |
66 |
0 |
2 |
13 |
309 |
| Modelling the Demand for M3 in the unified Germany |
0 |
0 |
0 |
0 |
2 |
8 |
30 |
905 |
| Multivariate Autoregressive Conditional Heteroskedasticity with Smooth Transitions in Conditional Correlations |
4 |
13 |
48 |
357 |
7 |
23 |
102 |
801 |
| Multivariate Autoregressive Conditional Heteroskedasticity with Smooth Transitions in Conditional Correlations |
0 |
3 |
21 |
159 |
4 |
11 |
48 |
347 |
| Multivariate GARCH models |
12 |
24 |
104 |
323 |
19 |
48 |
231 |
474 |
| Multivariate GARCH models |
15 |
26 |
100 |
141 |
28 |
65 |
222 |
259 |
| Nonlinear error-correction and the UK demand for broad money, 1878-1993 |
0 |
0 |
0 |
74 |
1 |
4 |
21 |
986 |
| Panel Smooth Transition Regression Models |
7 |
13 |
63 |
338 |
16 |
27 |
152 |
680 |
| Panel Smooth Transition Regression Models |
14 |
39 |
157 |
629 |
28 |
88 |
378 |
1,392 |
| Parameterizing Unconditional Skewness in Models for Financial Time Series |
1 |
4 |
28 |
180 |
7 |
16 |
92 |
441 |
| Parameterizing unconditional skewness in models for financial time series |
3 |
6 |
19 |
35 |
4 |
7 |
39 |
69 |
| Positivity Constraints on the Conditional Variances in the Family of Conditional Correlation GARCH Models |
0 |
0 |
0 |
42 |
6 |
11 |
38 |
149 |
| Power Properties of Linearity Tests for Time Series |
0 |
0 |
0 |
1 |
0 |
4 |
15 |
135 |
| Power Properties of Linearity Tests for Time Series |
0 |
0 |
0 |
0 |
1 |
7 |
31 |
777 |
| Power of the Neural Network Linearity Test |
0 |
0 |
0 |
4 |
6 |
11 |
51 |
459 |
| Properties of Moments of a Family of GARCH Processes |
0 |
0 |
0 |
203 |
6 |
15 |
94 |
1,148 |
| Properties of the Autocorrelation Function of Squared Observations for Second Order GARCH Processes under Two Sets of Parameter Constraints |
0 |
0 |
0 |
17 |
10 |
20 |
113 |
1,672 |
| Simulation-based finite-sample linearity test against smooth transition models |
0 |
0 |
0 |
121 |
7 |
14 |
103 |
586 |
| Smooth Transition Autoregressive Models - A Survey of Recent Developments |
18 |
53 |
266 |
1,215 |
23 |
70 |
407 |
2,132 |
| Smooth Transition Models |
0 |
0 |
0 |
3 |
1 |
2 |
46 |
1,192 |
| Smooth transition autoregressive models - A survey of recent developments |
5 |
15 |
15 |
15 |
7 |
17 |
17 |
17 |
| Smooth transition autoregressive models - A survey of recent developments |
16 |
52 |
316 |
1,908 |
25 |
72 |
465 |
2,797 |
| Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models |
0 |
0 |
0 |
3 |
22 |
47 |
170 |
878 |
| Statistical Properties of the Asymmetric Power ARCH Process |
0 |
0 |
0 |
62 |
6 |
17 |
61 |
1,172 |
| Statistical methods for modelling neural networks |
8 |
18 |
50 |
684 |
28 |
62 |
170 |
1,531 |
| Stylized Facts of Daily Return Series and the Hidden Markov Model |
0 |
0 |
0 |
0 |
9 |
20 |
125 |
1,404 |
| Stylized Facts of Financial Time Series and Three Popular Models of Volatility |
6 |
30 |
110 |
790 |
23 |
83 |
285 |
1,628 |
| Stylized Facts of Return Series, Robust Estimates, and Three Popular Models of Volatility |
4 |
6 |
42 |
142 |
10 |
15 |
78 |
255 |
| THE NET BARTER TERMS OF TRADE: A SMOOTH TRANSITION APPROACH |
0 |
0 |
0 |
87 |
34 |
77 |
315 |
1,710 |
| Testing Linearity against Nonlinear Moving Average Models |
0 |
0 |
0 |
21 |
2 |
10 |
51 |
1,634 |
| Testing Linearity against Nonlinear Moving Average Models |
0 |
0 |
0 |
20 |
8 |
12 |
42 |
1,130 |
| Testing Parameter Constancy and super Exogeneity in Econometric Equations |
0 |
0 |
0 |
1 |
2 |
12 |
79 |
850 |
| Testing Parameter Constancy in Linear Models against Stochastic Stationary Parameters |
0 |
0 |
0 |
0 |
1 |
5 |
36 |
671 |
| Testing constancy of the error covariance matrix in vector models |
3 |
11 |
23 |
174 |
16 |
45 |
145 |
928 |
| Testing for Volatility Interactions in the Constant Conditional Correlation GARCH Model |
8 |
18 |
63 |
236 |
19 |
40 |
157 |
621 |
| Testing parameter constancy in stationary vector autoregressive models against continuous change |
0 |
0 |
8 |
366 |
6 |
30 |
120 |
1,276 |
| Testing the Adequacy of Smooth Transition Autoregressive Models |
0 |
0 |
0 |
0 |
7 |
17 |
71 |
1,108 |
| Testing the Constancy of Regression Parameters Against Continuous Structural Change |
0 |
0 |
0 |
3 |
7 |
19 |
63 |
303 |
| Testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form |
2 |
7 |
34 |
94 |
10 |
19 |
86 |
183 |
| Testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form |
3 |
4 |
15 |
31 |
5 |
8 |
27 |
40 |
| The effects of institutional and technological change and business cycle fluctiations on seasonal patterns in quarterly industrial production series |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| The effects of institutional and technological change and business cycle fluctiations on seasonal patterns in quarterly industrial production series |
2 |
5 |
12 |
159 |
13 |
29 |
90 |
952 |
| The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series |
2 |
4 |
10 |
164 |
6 |
11 |
38 |
836 |
| Time-Varying Smooth Transition Autoregressive Models |
0 |
0 |
0 |
175 |
13 |
25 |
117 |
1,638 |
| Two Stylized Facts and the Garch (1,1) Model |
0 |
0 |
0 |
0 |
2 |
6 |
45 |
1,203 |
| Univariate nonlinear time series models |
0 |
0 |
0 |
271 |
10 |
32 |
102 |
860 |
| Total Working Papers |
281 |
764 |
3,353 |
22,524 |
941 |
2,457 |
10,609 |
84,332 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Note on Bias in the Almon Distributed Lag Estimator |
0 |
0 |
7 |
89 |
1 |
2 |
18 |
283 |
| A simple nonlinear time series model with misleading linear properties |
2 |
4 |
13 |
160 |
5 |
9 |
28 |
272 |
| A time series model for an exchange rate in a target zone with applications |
2 |
4 |
10 |
26 |
2 |
4 |
20 |
66 |
| Another Look at Swedish Business Cycles, 1861-1988 |
3 |
5 |
10 |
105 |
7 |
9 |
21 |
336 |
| Building neural network models for time series: a statistical approach |
4 |
9 |
55 |
390 |
9 |
22 |
126 |
853 |
| Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models |
7 |
13 |
61 |
373 |
11 |
23 |
107 |
777 |
| Comment 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 |
24 |
0 |
0 |
3 |
79 |
| Common factors in conditional distributions for bivariate time series |
2 |
5 |
11 |
53 |
4 |
11 |
21 |
123 |
| Evaluating GARCH models |
2 |
4 |
24 |
219 |
3 |
6 |
37 |
414 |
| Evaluating Models of Autoregressive Conditional Duration |
2 |
3 |
14 |
62 |
5 |
8 |
30 |
125 |
| Forecasting the consumption of alcoholic beverages in Finland: A box-Jenkins approach |
0 |
1 |
5 |
10 |
1 |
2 |
9 |
41 |
| Formation of Firms' Production Decisions in Finnish Manufacturing Industries |
0 |
0 |
0 |
8 |
0 |
0 |
3 |
122 |
| Investigating Stability and Linearity of a German M1 Money Demand Function |
1 |
8 |
30 |
213 |
3 |
13 |
57 |
653 |
| Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination |
1 |
7 |
26 |
203 |
4 |
13 |
47 |
394 |
| Long memory and nonlinear time series |
0 |
0 |
8 |
48 |
0 |
1 |
13 |
113 |
| Modeling The Demand For M3 In The Unified Germany |
0 |
1 |
8 |
76 |
2 |
4 |
20 |
260 |
| Modelling Autoregressive Processes with a Shifting Mean |
0 |
5 |
8 |
8 |
1 |
8 |
14 |
14 |
| Modelling Nonlinearity in U.S. Gross National Product 1889-1987 |
0 |
0 |
0 |
0 |
1 |
4 |
25 |
1,178 |
| Modelling the Dynamic Relationship between Wages and Prices in Finland |
0 |
0 |
0 |
0 |
2 |
2 |
10 |
136 |
| Non-linear error correction and the UK demand for broad money, 1878-1993 |
1 |
4 |
17 |
206 |
1 |
5 |
21 |
484 |
| Parameterizing Unconditional Skewness in Models for Financial Time Series |
0 |
1 |
2 |
2 |
3 |
6 |
10 |
10 |
| Positivity constraints on the conditional variances in the family of conditional correlation GARCH models |
1 |
3 |
14 |
17 |
2 |
4 |
20 |
29 |
| Power Properties of Linearity Tests for Time Series |
0 |
6 |
12 |
136 |
0 |
6 |
15 |
285 |
| Professor Clive W.J. Granger: An interview for the International Journal of Forecasting |
0 |
0 |
9 |
44 |
0 |
0 |
12 |
72 |
| Properties of moments of a family of GARCH processes |
4 |
6 |
31 |
99 |
5 |
10 |
47 |
196 |
| Reply |
2 |
2 |
4 |
14 |
2 |
3 |
10 |
41 |
| SMOOTH TRANSITION AUTOREGRESSIVE MODELS - A SURVEY OF RECENT DEVELOPMENTS |
28 |
91 |
391 |
944 |
49 |
156 |
653 |
1,562 |
| Short-term forecasting of industrial production with business survey data: experience from Finland's great depression 1990-1993 |
1 |
2 |
4 |
18 |
1 |
2 |
10 |
50 |
| Simulation-based Finite Sample Linearity Test against Smooth Transition Models |
0 |
2 |
20 |
58 |
0 |
5 |
40 |
135 |
| Stylized facts of daily return series and the hidden Markov model |
3 |
8 |
37 |
326 |
6 |
13 |
81 |
744 |
| Testing Linearity of Economic Time Series against Cyclical Asymmetry |
1 |
6 |
10 |
10 |
2 |
7 |
13 |
13 |
| Testing Parameter Constancy and Super Exogeneity in Econometric Equations |
0 |
0 |
0 |
1 |
2 |
8 |
30 |
274 |
| Testing Parameter Constancy in Stationary Vector Autoregressive Models Against Continuous Change |
4 |
18 |
29 |
29 |
15 |
44 |
92 |
92 |
| Testing constancy of the error covariance matrix in vector models |
1 |
2 |
4 |
11 |
1 |
5 |
17 |
54 |
| Testing for volatility interactions in the Constant Conditional Correlation GARCH model |
4 |
12 |
33 |
33 |
8 |
33 |
84 |
84 |
| Testing parameter constancy in linear models against stochastic stationary parameters |
0 |
0 |
5 |
15 |
1 |
2 |
12 |
41 |
| Testing the adequacy of smooth transition autoregressive models |
10 |
17 |
58 |
326 |
14 |
23 |
85 |
538 |
| Testing the constancy of regression parameters against continuous structural change |
3 |
9 |
31 |
184 |
4 |
13 |
59 |
446 |
| The International Institute of Forecasters Award for the Best Forecasting Paper |
0 |
0 |
1 |
7 |
0 |
1 |
3 |
45 |
| The Polynomial Distributed Lag Revisited |
0 |
0 |
0 |
0 |
0 |
0 |
12 |
341 |
| The combination of forecasts using changing weights |
5 |
17 |
39 |
214 |
12 |
33 |
95 |
386 |
| The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series |
0 |
0 |
4 |
69 |
3 |
3 |
52 |
357 |
| The extended Stein procedure for simultaneous model selection and parameter estimation |
1 |
1 |
2 |
7 |
1 |
1 |
10 |
25 |
| The net barter terms of trade: A smooth transition approach |
2 |
10 |
55 |
198 |
10 |
38 |
271 |
971 |
| Time-Varying Smooth Transition Autoregressive Models |
0 |
0 |
0 |
8 |
18 |
30 |
180 |
1,149 |
| Underestimation of mean square error matrix in misspecified linear models |
0 |
0 |
0 |
3 |
0 |
3 |
9 |
21 |
| Use of preliminary values in forecasting industrial production |
0 |
0 |
1 |
11 |
0 |
3 |
11 |
49 |
| Usefulness of proxy variables in linear models with stochastic regressors |
0 |
0 |
3 |
12 |
0 |
1 |
9 |
34 |
| Total Journal Articles |
97 |
286 |
1,107 |
5,069 |
221 |
599 |
2,572 |
14,767 |