| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Comparison of Biased Simulation Schemes for Stochastic Volatility Models |
1 |
1 |
2 |
400 |
7 |
15 |
25 |
1,091 |
| A Multi-Level Panel Smooth Transition Autoregression for US Sectoral Production |
0 |
0 |
0 |
0 |
3 |
4 |
5 |
464 |
| A Multivariate STAR Analysis of the Relationship Between Money and Output |
0 |
0 |
0 |
357 |
1 |
6 |
8 |
848 |
| A Multivariate STAR Analysis of the Relationship Between Money and Output |
0 |
0 |
0 |
252 |
1 |
1 |
2 |
668 |
| A Recommitment Strategy for Long Term Private Equity Fund Investors |
0 |
0 |
0 |
133 |
1 |
3 |
6 |
422 |
| A multi-level panel smooth transition autoregression for US sectoral production |
0 |
0 |
0 |
38 |
1 |
2 |
4 |
125 |
| A multivariate STAR analysis of the relationship between money and output |
0 |
0 |
0 |
127 |
1 |
6 |
6 |
323 |
| A nonlinear long memory model for US unemployment |
0 |
0 |
0 |
45 |
0 |
2 |
3 |
101 |
| A simple test for PPP among traded goods |
0 |
0 |
0 |
12 |
1 |
3 |
4 |
79 |
| A unified approach to nonlinearity, structural change and outliers |
0 |
0 |
0 |
49 |
0 |
2 |
2 |
141 |
| Accelerating Peak Dating in a Dynamic Factor Markov-Switching Model |
0 |
0 |
0 |
61 |
0 |
3 |
4 |
44 |
| An Alternative Bayesian Approach to Structural Breaks in Time Series Models |
0 |
0 |
0 |
77 |
2 |
4 |
5 |
183 |
| Are statistical reporting agencies getting it right? Data rationality and business cycle asymmetry |
0 |
0 |
0 |
27 |
2 |
2 |
2 |
90 |
| Asymmetric and Common Absorption of Shocks in Nonlinear Autoregressive Models |
0 |
0 |
0 |
99 |
1 |
3 |
6 |
297 |
| Asymmetric and Common Abssorbtion of Shocks in Nonlinear Autoregressive Models |
0 |
0 |
0 |
28 |
2 |
4 |
5 |
258 |
| Asymmetric and common absorption of shocks in nonlinear autoregressive models |
0 |
0 |
0 |
26 |
3 |
3 |
7 |
105 |
| Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error |
0 |
0 |
2 |
66 |
1 |
4 |
9 |
137 |
| Bayesian Forecasting of Federal Funds Target Rate Decisions |
0 |
0 |
1 |
27 |
0 |
1 |
4 |
396 |
| Bayesian Model Averaging in the Presence of Structural Breaks |
0 |
0 |
0 |
35 |
1 |
5 |
6 |
135 |
| Changes in International Business Cycle Affiliations |
0 |
0 |
0 |
31 |
0 |
1 |
1 |
100 |
| Changes in International Business Cycle Affiliations |
0 |
0 |
0 |
73 |
2 |
5 |
6 |
288 |
| Changes in Variability of the Business Cycle in the G7 Countries |
0 |
1 |
1 |
132 |
2 |
4 |
4 |
431 |
| Changes in variability of the business cycle in the G7 countries |
0 |
0 |
0 |
14 |
0 |
3 |
3 |
87 |
| Changes in variability of the business cycle in the G7 countries |
0 |
0 |
0 |
66 |
1 |
1 |
1 |
278 |
| Closed-Form Multi-Factor Copula Models with Observation-Driven Dynamic Factor Loadings |
0 |
0 |
2 |
40 |
0 |
1 |
3 |
100 |
| Cointegration in a historical perspective |
0 |
0 |
0 |
110 |
3 |
9 |
9 |
150 |
| Comparing the Accuracy of Copula-Based Multivariate Density Forecasts in Selected Regions of Support |
0 |
0 |
0 |
42 |
0 |
0 |
3 |
96 |
| Contagion as Domino Effect in Global Stock Markets |
0 |
0 |
0 |
103 |
5 |
6 |
9 |
349 |
| Corporate Governance and the Cost of Debt of Large European Firms |
0 |
1 |
2 |
102 |
0 |
2 |
7 |
281 |
| Corporate Governance and the Value of Excess Cash Holdings of Large European Firms |
0 |
0 |
0 |
92 |
1 |
3 |
5 |
324 |
| Do We Often Find ARCH Because Of Neglected Outliers? |
0 |
0 |
0 |
4 |
1 |
3 |
3 |
48 |
| Do leading indicators lead peaks more than troughs? |
0 |
0 |
0 |
92 |
1 |
5 |
5 |
250 |
| Does Africa grow slower than Asia and Latin America? |
0 |
0 |
0 |
12 |
2 |
5 |
7 |
60 |
| Does economic uncertainty predict real activity in real-time? |
0 |
1 |
1 |
8 |
2 |
4 |
7 |
16 |
| Does the absence of cointegration explain the typical findings in long horizon regressions? |
0 |
0 |
1 |
72 |
2 |
3 |
5 |
241 |
| Dynamic Factor Models for the Volatility Surface |
0 |
0 |
0 |
49 |
1 |
1 |
3 |
113 |
| Evaluating real-time forecasts in real-time |
0 |
0 |
0 |
21 |
2 |
3 |
5 |
96 |
| Financial Development and Convergence Clubs |
0 |
0 |
0 |
54 |
0 |
2 |
4 |
158 |
| Forecast comparison of principal component regression and principal covariate regression |
0 |
0 |
0 |
50 |
1 |
1 |
1 |
174 |
| Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices |
0 |
1 |
3 |
93 |
4 |
9 |
16 |
150 |
| Forecasting Interest Rates with Shifting Endpoints |
0 |
0 |
0 |
80 |
2 |
3 |
4 |
204 |
| Forecasting US Inflation Using Model Averaging |
0 |
0 |
0 |
2 |
1 |
1 |
9 |
847 |
| Forecasting Value-at-Risk under Temporal and Portfolio Aggregation |
0 |
0 |
0 |
36 |
2 |
3 |
3 |
119 |
| Forecasting Volatility with Copula-Based Time Series Models |
0 |
1 |
2 |
205 |
0 |
5 |
12 |
437 |
| Forecasting Volatility with the Realized Range in the Presence of Noise and Non-Trading |
0 |
0 |
0 |
19 |
2 |
4 |
4 |
110 |
| Forecasting aggregates using panels of nonlinear time series |
0 |
0 |
0 |
18 |
0 |
2 |
2 |
84 |
| Forecasting business cycles |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
22 |
| Forecasting business cycles |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
34 |
| Forecasting industrial production with linear, nonlinear, and structural change models |
0 |
0 |
0 |
65 |
4 |
4 |
6 |
188 |
| Forecasting the Yield Curve in a Data-Rich Environment using the Factor-Augmented Nelson-Siegel Model |
0 |
0 |
1 |
122 |
2 |
7 |
9 |
200 |
| Forecasting volatility with switching persistence GARCH models |
0 |
0 |
0 |
22 |
3 |
4 |
5 |
75 |
| Getting the Most out of Macroeconomic Information for Predicting Stock Returns and Volatility |
0 |
0 |
0 |
187 |
0 |
1 |
2 |
246 |
| Good News is No News |
0 |
0 |
0 |
34 |
1 |
1 |
7 |
110 |
| Heterogeneity in Manufacturing Growth Risk |
0 |
0 |
0 |
10 |
0 |
1 |
5 |
37 |
| High-Frequency Technical Trading: The Importance of Speed |
0 |
0 |
0 |
80 |
0 |
4 |
6 |
223 |
| How to Identify and Forecast Bull and Bear Markets? |
0 |
0 |
1 |
225 |
3 |
6 |
14 |
341 |
| Identifying Changes in Mean, Seasonality, Persistence and Volatility for G7 and Euro Area Inflation |
0 |
0 |
0 |
87 |
3 |
3 |
5 |
279 |
| Implicit score-driven filters for time-varying parameter models |
0 |
1 |
3 |
14 |
2 |
6 |
16 |
41 |
| Implicit score-driven filters for time-varying parameter models |
10 |
10 |
10 |
10 |
6 |
6 |
6 |
6 |
| Improved Construction of diffusion indexes for macroeconomic forecasting |
0 |
0 |
0 |
25 |
1 |
4 |
7 |
87 |
| Improving Density Forecasts and Value-at-Risk Estimates by Combining Densities |
0 |
0 |
0 |
65 |
1 |
2 |
3 |
91 |
| Instability and nonlinearity in the euro area Phillips curve |
0 |
1 |
1 |
155 |
1 |
3 |
3 |
488 |
| Likelihood-based scoring rules for comparing density forecasts in tails |
0 |
2 |
2 |
16 |
0 |
3 |
4 |
80 |
| Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination |
0 |
0 |
1 |
767 |
2 |
6 |
9 |
1,490 |
| Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination |
0 |
0 |
0 |
240 |
1 |
1 |
2 |
1,499 |
| Localizing Strictly Proper Scoring Rules |
1 |
1 |
6 |
9 |
2 |
4 |
10 |
19 |
| Macroeconomic Crisis and Individual Firm Performance: The Mexican Experience |
0 |
0 |
0 |
146 |
0 |
3 |
3 |
588 |
| Macroeconomic forecasting with real-time data: an empirical comparison |
0 |
0 |
0 |
79 |
2 |
4 |
7 |
127 |
| Market Set-Up in Advance of Federal Reserve Policy Decisions |
0 |
0 |
0 |
40 |
1 |
2 |
6 |
116 |
| Measuring and Predicting Heterogeneous Recessions |
0 |
0 |
0 |
30 |
1 |
2 |
4 |
94 |
| Measuring and Predicting Heterogeneous Recessions |
0 |
0 |
0 |
76 |
4 |
7 |
9 |
291 |
| Measuring volatility with the realized range |
0 |
1 |
1 |
90 |
7 |
11 |
14 |
282 |
| Modeling and Estimation of Synchronization in Multistate Markov-Switching Models |
0 |
0 |
0 |
89 |
0 |
2 |
5 |
226 |
| Modeling and Forecasting S&P 500 Volatility: Long Memory, Structural Breaks and Nonlinearity |
1 |
1 |
2 |
824 |
1 |
3 |
11 |
2,413 |
| Modeling asymmetric volatility in weekly Dutch temperature data |
0 |
0 |
0 |
26 |
2 |
3 |
4 |
76 |
| Modeling regional house prices |
0 |
0 |
0 |
159 |
6 |
9 |
10 |
299 |
| Modelling Multiple Regimes in the Business Cycle |
0 |
1 |
1 |
59 |
1 |
2 |
5 |
170 |
| Moments, Shocks and Spillovers in Markov-switching VAR Models |
0 |
0 |
0 |
34 |
0 |
0 |
4 |
20 |
| New HEAVY Models for Fat-Tailed Returns and Realized Covariance Kernels |
0 |
0 |
0 |
34 |
1 |
3 |
3 |
72 |
| Nonlinear Error-Correction Models for Interest Rates in The Netherlands |
0 |
0 |
0 |
70 |
1 |
3 |
7 |
182 |
| Nonlinear Forecasting With Many Predictors Using Kernel Ridge Regression |
0 |
0 |
0 |
169 |
0 |
2 |
5 |
477 |
| Nonlinear Forecasting with Many Predictors using Kernel Ridge Regression |
0 |
0 |
1 |
105 |
0 |
4 |
11 |
252 |
| Nonlinearities and outliers: robust specification of STAR models |
0 |
0 |
0 |
42 |
1 |
2 |
5 |
148 |
| On the Effects of Private Information on Volatility |
0 |
0 |
0 |
40 |
1 |
2 |
2 |
135 |
| On the Effects of Private Information on Volatility |
0 |
0 |
0 |
15 |
1 |
4 |
5 |
103 |
| Out-of-sample Comparison of Copula Specifications in Multivariate Density Forecasts |
0 |
0 |
0 |
99 |
1 |
6 |
9 |
314 |
| Out-of-sample comparison of copula specifications in multivariate density forecasts |
0 |
0 |
1 |
3 |
0 |
0 |
1 |
34 |
| Out-of-sample comparison of copula specifications in multivariate density forecasts |
0 |
0 |
0 |
72 |
0 |
1 |
3 |
185 |
| Out-of-sample comparison of copula specifications in multivariate density forecasts |
0 |
0 |
0 |
56 |
1 |
3 |
5 |
178 |
| Outlier detection in the GARCH (1,1) model |
0 |
0 |
0 |
34 |
1 |
2 |
4 |
111 |
| Panel Smooth Transition Regression Models |
0 |
1 |
11 |
849 |
2 |
17 |
51 |
2,520 |
| Panel Smooth Transition Regression Models |
1 |
10 |
50 |
3,273 |
30 |
74 |
235 |
9,965 |
| Panel Smooth Transition Regression Models |
0 |
2 |
9 |
257 |
4 |
12 |
43 |
945 |
| Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails |
0 |
0 |
0 |
66 |
0 |
3 |
4 |
221 |
| Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails |
0 |
0 |
0 |
73 |
1 |
2 |
4 |
220 |
| Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails |
0 |
0 |
0 |
38 |
1 |
3 |
6 |
207 |
| Predicting Covariance Matrices with Financial Conditions Indexes |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
74 |
| Predicting Growth Cycle Regimes for European Countries |
0 |
0 |
0 |
143 |
3 |
6 |
6 |
444 |
| Predicting the Daily Covariance Matrix for S&P 100 Stocks using Intraday Data - But which Frequency to use? |
0 |
0 |
0 |
364 |
1 |
3 |
7 |
1,304 |
| Predicting the Term Structure of Interest Rates: Incorporating Parameter Uncertainty, Model Uncertainty and Macroeconomic Information |
1 |
1 |
1 |
357 |
2 |
4 |
8 |
913 |
| Predicting the term structure of interest rates incorporating parameter uncertainty, model uncertainty and macroeconomic information |
0 |
0 |
0 |
141 |
0 |
1 |
3 |
368 |
| Range-based covariance estimation using high-frequency data: The realized co-range |
1 |
1 |
2 |
90 |
3 |
7 |
8 |
222 |
| Realized mixed-frequency factor models for vast dimensional covariance estimation |
0 |
0 |
0 |
60 |
1 |
2 |
3 |
134 |
| SETS, Arbitrage Activity, and Stock Price Dynamics |
0 |
0 |
0 |
310 |
4 |
4 |
5 |
1,387 |
| Seasonal smooth transition autoregression |
0 |
0 |
0 |
39 |
5 |
6 |
6 |
129 |
| Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy |
0 |
0 |
0 |
14 |
1 |
3 |
4 |
73 |
| Semi-Parametric Modelling of Correlation Dynamics |
0 |
0 |
0 |
58 |
1 |
3 |
3 |
142 |
| Short Patches of Outliers, ARCH and Volatility Modeling |
0 |
0 |
0 |
281 |
1 |
3 |
4 |
1,019 |
| Short-term Volatility Versus Long-term Growth: Evidence in US Macroeconomic Time Series |
0 |
0 |
0 |
58 |
0 |
2 |
6 |
297 |
| Short-term Volatility versus Long-term Growth: Evidence in US Macroeconomic Time Series |
0 |
0 |
0 |
134 |
4 |
5 |
6 |
462 |
| Short-term Volatility versus Long-term Growth: Evidence in US Macroeconomic Time Series |
0 |
0 |
0 |
99 |
2 |
2 |
4 |
702 |
| Short-term volatility versus long-term growth: evidence in US macroeconomic time series |
0 |
0 |
0 |
7 |
2 |
2 |
2 |
79 |
| Slow Expectation-Maximization Convergence in Low-Noise Dynamic Factor Models |
1 |
1 |
1 |
46 |
4 |
5 |
9 |
35 |
| Smooth Transition Autoregressive Models - A Survey of Recent Developments |
0 |
0 |
2 |
1,810 |
0 |
7 |
15 |
3,419 |
| Smooth transition autoregressive models - A survey of recent developments |
0 |
1 |
5 |
461 |
4 |
13 |
25 |
895 |
| Speed, Algorithmic Trading, and Market Quality around Macroeconomic News Announcements |
0 |
0 |
0 |
71 |
7 |
9 |
10 |
206 |
| Stock Selection Strategies in Emerging Markets |
0 |
0 |
0 |
803 |
7 |
17 |
17 |
1,938 |
| Structural Breaks in the International Transmission of Inflation |
0 |
0 |
1 |
211 |
1 |
2 |
3 |
468 |
| Structural Differences in Economic Growth |
0 |
0 |
0 |
121 |
0 |
2 |
3 |
269 |
| Term structure forecasting using macro factors and forecast combination |
0 |
0 |
2 |
156 |
1 |
3 |
9 |
334 |
| Term structure forecasting using macro factors and forecast combination |
0 |
0 |
2 |
101 |
3 |
8 |
18 |
309 |
| Testing for ARCH in the Presence of Additive Outliers |
0 |
0 |
0 |
26 |
3 |
4 |
6 |
145 |
| Testing for Smooth Transition Nonlinearity in the Presence of Outliers |
0 |
0 |
0 |
47 |
0 |
0 |
2 |
143 |
| Testing for Stochastic Unit Roots - Some Monte Carlo evidence |
0 |
0 |
0 |
14 |
3 |
3 |
5 |
56 |
| Testing for Volatility Changes in US Macroeconomic Time Series |
0 |
0 |
0 |
334 |
0 |
0 |
1 |
819 |
| Testing for causality in variance in the presence of breaks |
0 |
0 |
0 |
154 |
3 |
4 |
7 |
375 |
| Testing for causality in variance in the presence of breaks |
0 |
0 |
0 |
16 |
0 |
2 |
2 |
77 |
| Testing for changes in volatility in heteroskedastic time series - a further examination |
0 |
0 |
1 |
57 |
0 |
1 |
2 |
206 |
| The Economic Value of Fundamental and Technical Information in Emerging Currency Markets |
0 |
0 |
0 |
209 |
3 |
4 |
6 |
481 |
| The Effects of Federal Funds Target Rate Changes on S&P100 Stock Returns, Volatilities, and Correlations |
0 |
0 |
1 |
301 |
0 |
2 |
5 |
580 |
| The Euro Introduction and Non-Euro Currencies |
0 |
1 |
1 |
217 |
1 |
4 |
7 |
898 |
| The Euro-introduction and non-Euro currencies |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
15 |
| The Inefficient Use of Macroeconomic Information in Analysts' Earnings Forecasts in Emerging Markets |
0 |
0 |
0 |
79 |
2 |
5 |
6 |
212 |
| The Success Of Stock Selection Strategies In Emerging Markets: Is It Risk Or Behavioral Bias? |
0 |
0 |
0 |
146 |
2 |
4 |
6 |
454 |
| The effects of institutional and technological change and business cycle fluctiations on seasonal patterns in quarterly industrial production series |
0 |
0 |
0 |
11 |
0 |
3 |
4 |
96 |
| The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series |
0 |
0 |
0 |
204 |
1 |
1 |
2 |
968 |
| The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production |
0 |
0 |
0 |
25 |
2 |
3 |
3 |
88 |
| Time Variation in Asset Return Dependence: Strength or Structure? |
0 |
0 |
0 |
49 |
1 |
4 |
6 |
154 |
| Time series forecasting by principal covariate regression |
0 |
0 |
0 |
86 |
2 |
3 |
4 |
300 |
| Time-Varying Smooth Transition Autoregressive Models |
0 |
0 |
0 |
175 |
3 |
5 |
8 |
2,149 |
| Timing of Vote Decision in First and Second Order Dutch Elections 1978-1995: Evidence from Artificial Neural Networks |
0 |
0 |
0 |
19 |
2 |
3 |
3 |
88 |
| Unit root tests and assymmetric adjustment |
0 |
0 |
0 |
6 |
1 |
2 |
5 |
48 |
| When Do Managers Seek Private Equity Backing in Public-to-Private Transactions? |
0 |
0 |
0 |
146 |
4 |
6 |
9 |
484 |
| Why do Pit-Hours outlive the Pit? |
0 |
0 |
0 |
9 |
1 |
2 |
4 |
63 |
| Total Working Papers |
17 |
42 |
137 |
20,837 |
259 |
606 |
1,151 |
62,546 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A comparison of biased simulation schemes for stochastic volatility models |
1 |
2 |
8 |
84 |
4 |
8 |
18 |
320 |
| A multi-level panel STAR model for US manufacturing sectors |
0 |
1 |
2 |
380 |
1 |
10 |
12 |
1,034 |
| A nonlinear long memory model, with an application to US unemployment |
0 |
0 |
0 |
134 |
0 |
5 |
6 |
350 |
| A simple test for PPP among traded goods |
0 |
0 |
0 |
93 |
0 |
0 |
3 |
293 |
| A unified approach to nonlinearity, structural change, and outliers |
0 |
0 |
0 |
167 |
1 |
4 |
6 |
411 |
| Absorption of shocks in nonlinear autoregressive models |
0 |
0 |
0 |
48 |
0 |
0 |
1 |
159 |
| Accelerating peak dating in a dynamic factor Markov-switching model |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
| Are Statistical Reporting Agencies Getting It Right? Data Rationality and Business Cycle Asymmetry |
0 |
0 |
0 |
70 |
2 |
6 |
8 |
306 |
| Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error* |
1 |
1 |
1 |
2 |
7 |
14 |
18 |
22 |
| Bayesian forecasting of federal funds target rate decisions |
0 |
0 |
0 |
16 |
1 |
3 |
11 |
205 |
| Can Tests for Stochastic Unit Roots Provide Useful Portmanteau Tests for Persistence? |
0 |
0 |
0 |
0 |
0 |
3 |
3 |
6 |
| Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings |
0 |
0 |
1 |
3 |
1 |
4 |
7 |
25 |
| Cointegration in a historical perspective |
0 |
0 |
1 |
29 |
0 |
2 |
7 |
137 |
| Combining expert‐adjusted forecasts |
0 |
0 |
0 |
1 |
2 |
2 |
3 |
14 |
| Comparing the accuracy of multivariate density forecasts in selected regions of the copula support |
0 |
0 |
3 |
12 |
1 |
2 |
7 |
64 |
| Contagion as a domino effect in global stock markets |
0 |
0 |
2 |
125 |
0 |
3 |
9 |
461 |
| Corporate Governance and the Value of Excess Cash Holdings of Large European Firms |
0 |
0 |
1 |
11 |
1 |
2 |
4 |
57 |
| Corporate governance and performance during normal and crisis periods: evidence from an emerging market perspective |
0 |
1 |
1 |
2 |
0 |
4 |
5 |
18 |
| Crisis macroeconómica y desempeño de la empresa individual. La experiencia mexicana |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
242 |
| Do Leading Indicators Lead Peaks More Than Troughs? |
0 |
0 |
0 |
58 |
2 |
5 |
9 |
245 |
| Does Africa grow slower than Asia, Latin America and the Middle East? Evidence from a new data-based classification method |
0 |
1 |
1 |
167 |
3 |
5 |
14 |
397 |
| Does economic uncertainty predict real activity in real time? |
0 |
1 |
2 |
2 |
5 |
11 |
12 |
12 |
| Forecast comparison of principal component regression and principal covariate regression |
0 |
0 |
0 |
70 |
0 |
1 |
1 |
209 |
| Forecasting S&P 500 volatility: Long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements |
0 |
0 |
0 |
170 |
1 |
2 |
7 |
446 |
| Forecasting Value-at-Risk under Temporal and Portfolio Aggregation |
0 |
0 |
1 |
15 |
1 |
7 |
9 |
63 |
| Forecasting aggregates using panels of nonlinear time series |
0 |
0 |
0 |
66 |
2 |
3 |
5 |
175 |
| Forecasting day-ahead electricity prices: Utilizing hourly prices |
0 |
1 |
1 |
51 |
0 |
1 |
3 |
161 |
| Forecasting returns and risk in financial markets using linear and nonlinear models |
0 |
0 |
0 |
95 |
0 |
0 |
0 |
216 |
| Forecasting the Yield Curve in a Data‐Rich Environment Using the Factor‐Augmented Nelson–Siegel Model |
0 |
0 |
0 |
0 |
1 |
2 |
6 |
73 |
| Forecasting volatility with the realized range in the presence of noise and non-trading |
0 |
0 |
0 |
9 |
1 |
2 |
2 |
62 |
| Forecasting with Leading Indicators by means of the Principal Covariate Index |
0 |
0 |
0 |
18 |
1 |
1 |
1 |
91 |
| Getting the most out of macroeconomic information for predicting excess stock returns |
0 |
0 |
0 |
27 |
0 |
1 |
2 |
84 |
| Identifying Changes in Mean, Seasonality, Persistence and Volatility for G7 and Euro Area Inflation |
0 |
0 |
0 |
23 |
1 |
3 |
3 |
88 |
| Instability and Nonlinearity in the Euro-Area Phillips Curve |
0 |
0 |
0 |
84 |
0 |
1 |
2 |
356 |
| Intraday price discovery in fragmented markets |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
73 |
| Likelihood-based scoring rules for comparing density forecasts in tails |
0 |
1 |
5 |
116 |
4 |
7 |
15 |
358 |
| Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination |
0 |
0 |
0 |
300 |
1 |
3 |
7 |
658 |
| MULTIVARIATE STAR ANALYSIS OF MONEY–OUTPUT RELATIONSHIP |
0 |
0 |
1 |
47 |
2 |
3 |
8 |
149 |
| Macroeconomic forecasting with matched principal components |
0 |
0 |
1 |
45 |
0 |
1 |
3 |
201 |
| Market Set‐up in Advance of Federal Reserve Policy Rate Decisions |
0 |
0 |
0 |
3 |
1 |
1 |
2 |
21 |
| Measuring and predicting heterogeneous recessions |
0 |
0 |
0 |
16 |
2 |
5 |
7 |
106 |
| Measuring volatility with the realized range |
2 |
3 |
6 |
235 |
5 |
10 |
26 |
685 |
| Modeling and estimation of synchronization in size-sorted portfolio returns |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
2 |
| Modelling regional house prices |
0 |
0 |
1 |
38 |
2 |
7 |
13 |
131 |
| Moments, shocks and spillovers in Markov-switching VAR models |
0 |
1 |
1 |
9 |
11 |
17 |
23 |
46 |
| New HEAVY Models for Fat-Tailed Realized Covariances and Returns |
0 |
0 |
0 |
5 |
1 |
3 |
5 |
18 |
| Nonlinear forecasting with many predictors using kernel ridge regression |
0 |
1 |
3 |
23 |
3 |
6 |
13 |
115 |
| On SETAR non-linearity and forecasting |
0 |
0 |
0 |
206 |
1 |
5 |
6 |
666 |
| On the dynamics of business cycle analysis: editors' introduction |
0 |
0 |
0 |
56 |
0 |
4 |
4 |
213 |
| On the dynamics of business cycle analysis: editors' introduction |
0 |
0 |
0 |
1 |
3 |
4 |
5 |
11 |
| Order flow and volatility: An empirical investigation |
0 |
0 |
1 |
17 |
3 |
4 |
7 |
92 |
| Out-of-sample comparison of copula specifications in multivariate density forecasts |
0 |
0 |
1 |
32 |
1 |
3 |
6 |
158 |
| Paul D. McNelis, Neural networks in finance--gaining predictive edge in the market, Elsevier Academic Press (2005) ISBN 0-12-485967-4 hardcover, 243 pages |
0 |
0 |
1 |
217 |
0 |
1 |
4 |
674 |
| Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data—But Which Frequency to Use? |
0 |
0 |
0 |
173 |
0 |
1 |
4 |
689 |
| Predicting volatility and correlations with Financial Conditions Indexes |
0 |
0 |
0 |
18 |
0 |
3 |
3 |
89 |
| Private Equity Recommitment Strategies for Institutional Investors |
2 |
3 |
7 |
7 |
3 |
6 |
12 |
13 |
| Range-Based Covariance Estimation Using High-Frequency Data: The Realized Co-Range -super-* |
0 |
1 |
1 |
31 |
2 |
7 |
9 |
132 |
| Real-time macroeconomic forecasting with leading indicators: An empirical comparison |
0 |
0 |
0 |
8 |
0 |
1 |
2 |
53 |
| Real-time macroeconomic forecasting with leading indicators: An empirical comparison |
0 |
0 |
0 |
29 |
4 |
6 |
10 |
250 |
| Reply |
0 |
0 |
0 |
24 |
1 |
3 |
5 |
95 |
| SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS |
0 |
1 |
9 |
2,458 |
2 |
17 |
47 |
4,810 |
| Sample size, lag order and critical values of seasonal unit root tests |
0 |
0 |
0 |
22 |
1 |
2 |
2 |
108 |
| Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy* |
0 |
0 |
0 |
25 |
0 |
0 |
3 |
99 |
| Short patches of outliers, ARCH and volatility modelling |
0 |
0 |
0 |
37 |
2 |
6 |
7 |
217 |
| Slow Expectation–Maximization Convergence in Low‐Noise Dynamic Factor Models |
0 |
0 |
0 |
0 |
3 |
3 |
3 |
3 |
| Speed, algorithmic trading, and market quality around macroeconomic news announcements |
0 |
0 |
1 |
84 |
3 |
8 |
30 |
332 |
| Stock selection strategies in emerging markets |
0 |
1 |
5 |
283 |
1 |
2 |
9 |
814 |
| Structural Breaks in the International Dynamics of Inflation |
0 |
0 |
1 |
68 |
0 |
2 |
5 |
214 |
| Structural differences in economic growth: an endogenous clustering approach |
0 |
0 |
0 |
42 |
4 |
5 |
6 |
177 |
| Testing for ARCH in the Presence of Additive Outliers |
0 |
0 |
0 |
213 |
0 |
3 |
5 |
794 |
| Testing for Smooth Transition Nonlinearity in the Presence of Outliers |
0 |
0 |
0 |
0 |
1 |
4 |
8 |
520 |
| Testing for Volatility Changes in U.S. Macroeconomic Time Series |
0 |
0 |
0 |
285 |
0 |
4 |
7 |
764 |
| Testing for causality in variance in the presence of breaks |
0 |
0 |
0 |
66 |
0 |
2 |
3 |
206 |
| The economic value of fundamental and technical information in emerging currency markets |
0 |
0 |
0 |
169 |
1 |
5 |
8 |
501 |
| The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series |
0 |
0 |
0 |
84 |
1 |
3 |
7 |
471 |
| The euro introduction and noneuro currencies |
0 |
0 |
0 |
39 |
0 |
1 |
2 |
200 |
| The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production |
0 |
0 |
1 |
74 |
0 |
6 |
8 |
281 |
| The success of stock selection strategies in emerging markets: Is it risk or behavioral bias? |
0 |
1 |
1 |
75 |
0 |
4 |
4 |
244 |
| Time-Varying Smooth Transition Autoregressive Models |
0 |
0 |
0 |
8 |
1 |
3 |
7 |
1,690 |
| Twenty years of cointegration |
0 |
0 |
0 |
43 |
1 |
2 |
3 |
92 |
| When Do Managers Seek Private Equity Backing in Public-to-Private Transactions? |
0 |
0 |
1 |
30 |
2 |
5 |
8 |
129 |
| Total Journal Articles |
6 |
21 |
73 |
7,816 |
113 |
318 |
589 |
25,169 |
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