Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A General to Specific Approach for Constructing Composite Business Cycle Indicators |
1 |
1 |
2 |
83 |
2 |
3 |
5 |
344 |
A Medium-N Approach to Macroeconomic Forecasting |
0 |
3 |
4 |
69 |
1 |
5 |
9 |
130 |
A Reduced Rank Regression Approach to Coincident and Leading Indexes Building |
0 |
0 |
0 |
151 |
0 |
2 |
3 |
576 |
A Unifying Framework for Analysing Common Cyclical Features in Cointegrated Time Series |
0 |
0 |
0 |
101 |
1 |
1 |
1 |
217 |
A Vector Heterogeneous Autoregressive Index Model for Realized Volatily Measures |
0 |
0 |
0 |
85 |
0 |
0 |
4 |
152 |
A Vector Heterogeneous Autoregressive Index model for realized volatility measures |
0 |
0 |
0 |
72 |
0 |
1 |
1 |
247 |
An Alternative Solution to the Autoregressivity Paradox in Time Series Analysis |
0 |
0 |
0 |
73 |
1 |
1 |
1 |
150 |
Common Feature Analysis of Economic Time Series: An Overview and Recent Developments |
0 |
0 |
0 |
191 |
1 |
2 |
3 |
82 |
Common Shocks, Common Dynamics, and the International Business Cycle |
0 |
0 |
0 |
250 |
0 |
0 |
1 |
647 |
Common Shocks, Common Dynamics, and the International Business Cycle |
0 |
0 |
0 |
82 |
0 |
0 |
1 |
269 |
Complex Reduced Rank Models for Seasonally Cointegrated Time Series |
0 |
0 |
0 |
135 |
0 |
0 |
0 |
484 |
Detecting Co-Movements in Noncausal Time Series |
0 |
0 |
0 |
157 |
0 |
0 |
1 |
136 |
Detecting Co-Movements in Noncausal Time Series |
0 |
0 |
0 |
110 |
0 |
0 |
1 |
181 |
Detecting Common Bubbles in Multivariate Mixed Causal-noncausal Models |
1 |
1 |
1 |
69 |
2 |
4 |
7 |
32 |
Detecting common bubbles in multivariate mixed causal-noncausal models |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
22 |
Dimension Reduction for High Dimensional Vector Autoregressive Models |
0 |
0 |
1 |
15 |
0 |
0 |
1 |
25 |
Dimension Reduction for High Dimensional Vector Autoregressive Models |
0 |
0 |
0 |
75 |
0 |
0 |
2 |
65 |
Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector |
0 |
0 |
0 |
67 |
0 |
0 |
0 |
70 |
Is Money Neutral? Some Evidence for Italy |
0 |
0 |
0 |
407 |
0 |
1 |
1 |
1,820 |
Macro-panels and reality |
0 |
0 |
0 |
66 |
0 |
1 |
1 |
231 |
Macroeconomic forecasting and structural analysis through regularized reduced-rank regression |
0 |
0 |
0 |
60 |
0 |
0 |
0 |
137 |
Measuring the Sources of Cyclical Fluctuations in the G7 Economies |
0 |
0 |
0 |
100 |
0 |
0 |
0 |
414 |
Modelling Comovements of Economic Time Series: A Selective Survey |
0 |
1 |
1 |
211 |
2 |
3 |
5 |
301 |
On Cointegration for Processes Integrated at Different Frequencies |
0 |
0 |
0 |
12 |
0 |
1 |
2 |
28 |
On cointegration for processes integrated at different frequencies |
0 |
0 |
0 |
53 |
0 |
0 |
0 |
43 |
Optimization of the Generalized Covariance Estimator in Noncausal Processes |
0 |
0 |
13 |
14 |
0 |
1 |
10 |
11 |
Optimization of the Generalized Covariance Estimator in Noncausal Processes |
0 |
0 |
3 |
56 |
2 |
4 |
12 |
34 |
Reduced Rank Regression Models in Economics and Finance |
0 |
0 |
3 |
80 |
0 |
2 |
8 |
63 |
Representation, Estimation and Forecasting of the Multivariate Index-Augmented Autoregressive Model |
0 |
0 |
0 |
71 |
1 |
1 |
1 |
92 |
Sequential Monte Carlo for Noncausal Processes |
0 |
4 |
8 |
8 |
0 |
5 |
8 |
8 |
Small Sample Improvements in the Statistical Analysis of Seasonally Cointegrated Systems |
0 |
0 |
0 |
152 |
0 |
0 |
0 |
936 |
Studying Co-Movements in Large Multivariate Data Prior to Multivariate Modelling |
0 |
0 |
0 |
88 |
0 |
0 |
1 |
213 |
Studying co-movements in large multivariate models without multivariate modelling |
0 |
0 |
0 |
50 |
0 |
0 |
0 |
188 |
Technology shocks, structural breaks and the effects on the business cycle |
0 |
0 |
0 |
78 |
0 |
0 |
1 |
224 |
Technology shocks, structural breaks and the effects on the business cycle |
0 |
0 |
0 |
54 |
1 |
2 |
2 |
196 |
Testing for Common Autocorrelation in Data Rich Environments |
0 |
0 |
0 |
50 |
0 |
0 |
1 |
134 |
Testing for Parameter Stability in Dynamic Models Across Frequencies |
0 |
0 |
0 |
90 |
1 |
3 |
3 |
379 |
Testing for cointegration in high-dimensional systems |
0 |
0 |
1 |
114 |
0 |
1 |
4 |
227 |
Testing for parameter stability in dynamic models across frequencies |
0 |
0 |
0 |
22 |
0 |
1 |
2 |
104 |
The Role of Common Cyclical Features for Coincident and Leading Indexes Building |
0 |
0 |
0 |
87 |
0 |
0 |
1 |
402 |
The Seasonality of the Italian Cost-of-Living Index |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
1,998 |
The Time-Varying Multivariate Autoregressive Index Model |
0 |
0 |
2 |
20 |
2 |
2 |
7 |
22 |
The Time-Varying Multivariate Autoregressive Index Model |
0 |
0 |
1 |
27 |
0 |
1 |
3 |
31 |
The Vector Error Correction Index Model: Representation, Estimation and Identification |
0 |
0 |
4 |
57 |
0 |
1 |
7 |
36 |
VAR models with an index structure: A survey with new results |
1 |
5 |
10 |
10 |
1 |
2 |
11 |
11 |
Total Working Papers |
3 |
15 |
54 |
3,842 |
18 |
51 |
134 |
12,112 |