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 |
0 |
1 |
4 |
398 |
0 |
2 |
8 |
1,067 |
A Multi-Level Panel Smooth Transition Autoregression for US Sectoral Production |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
459 |
A Multivariate STAR Analysis of the Relationship Between Money and Output |
0 |
0 |
0 |
252 |
0 |
0 |
1 |
666 |
A Multivariate STAR Analysis of the Relationship Between Money and Output |
0 |
0 |
0 |
357 |
0 |
0 |
2 |
840 |
A Recommitment Strategy for Long Term Private Equity Fund Investors |
0 |
0 |
0 |
133 |
0 |
0 |
4 |
416 |
A multi-level panel smooth transition autoregression for US sectoral production |
0 |
0 |
0 |
38 |
1 |
2 |
2 |
122 |
A multivariate STAR analysis of the relationship between money and output |
0 |
0 |
0 |
127 |
0 |
0 |
1 |
317 |
A nonlinear long memory model for US unemployment |
0 |
0 |
2 |
45 |
1 |
1 |
4 |
99 |
A simple test for PPP among traded goods |
0 |
0 |
0 |
12 |
1 |
1 |
2 |
76 |
A unified approach to nonlinearity, structural change and outliers |
0 |
0 |
0 |
49 |
0 |
0 |
0 |
139 |
Accelerating Peak Dating in a Dynamic Factor Markov-Switching Model |
0 |
0 |
0 |
61 |
0 |
0 |
1 |
40 |
An Alternative Bayesian Approach to Structural Breaks in Time Series Models |
0 |
0 |
0 |
77 |
0 |
0 |
4 |
178 |
Are statistical reporting agencies getting it right? Data rationality and business cycle asymmetry |
0 |
0 |
0 |
27 |
0 |
0 |
0 |
88 |
Asymmetric and Common Absorption of Shocks in Nonlinear Autoregressive Models |
0 |
0 |
0 |
99 |
1 |
1 |
1 |
292 |
Asymmetric and Common Abssorbtion of Shocks in Nonlinear Autoregressive Models |
0 |
0 |
0 |
28 |
0 |
1 |
1 |
254 |
Asymmetric and common absorption of shocks in nonlinear autoregressive models |
0 |
0 |
0 |
26 |
2 |
2 |
3 |
100 |
Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error |
0 |
0 |
0 |
64 |
0 |
0 |
1 |
128 |
Bayesian Forecasting of Federal Funds Target Rate Decisions |
0 |
1 |
4 |
27 |
0 |
2 |
6 |
394 |
Bayesian Model Averaging in the Presence of Structural Breaks |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
129 |
Changes in International Business Cycle Affiliations |
0 |
0 |
0 |
73 |
0 |
0 |
0 |
282 |
Changes in International Business Cycle Affiliations |
0 |
0 |
1 |
31 |
0 |
0 |
2 |
99 |
Changes in Variability of the Business Cycle in the G7 Countries |
0 |
0 |
0 |
131 |
0 |
0 |
1 |
427 |
Changes in variability of the business cycle in the G7 countries |
0 |
0 |
0 |
66 |
0 |
0 |
0 |
277 |
Changes in variability of the business cycle in the G7 countries |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
84 |
Closed-Form Multi-Factor Copula Models with Observation-Driven Dynamic Factor Loadings |
0 |
0 |
0 |
38 |
0 |
0 |
0 |
97 |
Cointegration in a historical perspective |
0 |
0 |
0 |
110 |
0 |
0 |
1 |
141 |
Comparing the Accuracy of Copula-Based Multivariate Density Forecasts in Selected Regions of Support |
0 |
0 |
0 |
42 |
1 |
1 |
1 |
94 |
Contagion as Domino Effect in Global Stock Markets |
0 |
0 |
0 |
103 |
1 |
1 |
2 |
341 |
Corporate Governance and the Cost of Debt of Large European Firms |
1 |
1 |
1 |
101 |
1 |
2 |
2 |
276 |
Corporate Governance and the Value of Excess Cash Holdings of Large European Firms |
0 |
0 |
0 |
92 |
0 |
0 |
1 |
319 |
Do We Often Find ARCH Because Of Neglected Outliers? |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
45 |
Do leading indicators lead peaks more than troughs? |
0 |
0 |
0 |
92 |
0 |
0 |
1 |
245 |
Does Africa grow slower than Asia and Latin America? |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
53 |
Does economic uncertainty predict real activity in real-time? |
0 |
0 |
1 |
7 |
1 |
3 |
4 |
10 |
Does the absence of cointegration explain the typical findings in long horizon regressions? |
0 |
1 |
1 |
72 |
0 |
1 |
2 |
237 |
Dynamic Factor Models for the Volatility Surface |
0 |
0 |
3 |
49 |
0 |
0 |
3 |
110 |
Evaluating real-time forecasts in real-time |
0 |
0 |
1 |
21 |
0 |
1 |
3 |
92 |
Financial Development and Convergence Clubs |
0 |
0 |
0 |
54 |
0 |
0 |
0 |
154 |
Forecast comparison of principal component regression and principal covariate regression |
0 |
0 |
0 |
50 |
0 |
0 |
0 |
173 |
Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices |
0 |
0 |
0 |
90 |
0 |
0 |
0 |
134 |
Forecasting Interest Rates with Shifting Endpoints |
0 |
0 |
1 |
80 |
1 |
2 |
3 |
201 |
Forecasting US Inflation Using Model Averaging |
0 |
0 |
0 |
2 |
7 |
7 |
10 |
845 |
Forecasting Value-at-Risk under Temporal and Portfolio Aggregation |
0 |
0 |
0 |
36 |
0 |
0 |
4 |
116 |
Forecasting Volatility with Copula-Based Time Series Models |
0 |
0 |
0 |
203 |
1 |
1 |
1 |
426 |
Forecasting Volatility with the Realized Range in the Presence of Noise and Non-Trading |
0 |
0 |
0 |
19 |
0 |
0 |
2 |
106 |
Forecasting aggregates using panels of nonlinear time series |
0 |
0 |
0 |
18 |
0 |
0 |
2 |
82 |
Forecasting business cycles |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
33 |
Forecasting business cycles |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
22 |
Forecasting industrial production with linear, nonlinear, and structural change models |
0 |
0 |
0 |
65 |
1 |
1 |
1 |
183 |
Forecasting the Yield Curve in a Data-Rich Environment using the Factor-Augmented Nelson-Siegel Model |
0 |
0 |
1 |
121 |
0 |
0 |
1 |
191 |
Forecasting volatility with switching persistence GARCH models |
0 |
0 |
0 |
22 |
1 |
1 |
1 |
71 |
Getting the Most out of Macroeconomic Information for Predicting Stock Returns and Volatility |
0 |
0 |
0 |
187 |
0 |
0 |
1 |
244 |
Good News is No News |
0 |
0 |
0 |
34 |
1 |
1 |
2 |
104 |
Heterogeneity in Manufacturing Growth Risk |
0 |
0 |
0 |
10 |
1 |
1 |
1 |
33 |
High-Frequency Technical Trading: The Importance of Speed |
0 |
0 |
1 |
80 |
0 |
0 |
5 |
217 |
How to Identify and Forecast Bull and Bear Markets? |
0 |
0 |
1 |
224 |
1 |
2 |
3 |
328 |
Identifying Changes in Mean, Seasonality, Persistence and Volatility for G7 and Euro Area Inflation |
0 |
0 |
0 |
87 |
0 |
0 |
0 |
274 |
Implicit score-driven filters for time-varying parameter models |
0 |
0 |
3 |
11 |
0 |
1 |
10 |
26 |
Improved Construction of diffusion indexes for macroeconomic forecasting |
0 |
0 |
0 |
25 |
0 |
1 |
1 |
81 |
Improving Density Forecasts and Value-at-Risk Estimates by Combining Densities |
0 |
0 |
0 |
65 |
0 |
1 |
1 |
89 |
Instability and nonlinearity in the euro area Phillips curve |
0 |
0 |
0 |
154 |
0 |
0 |
0 |
485 |
Likelihood-based scoring rules for comparing density forecasts in tails |
0 |
0 |
1 |
14 |
0 |
0 |
5 |
76 |
Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination |
0 |
0 |
0 |
766 |
0 |
0 |
1 |
1,481 |
Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination |
0 |
0 |
0 |
240 |
1 |
1 |
2 |
1,498 |
Macroeconomic Crisis and Individual Firm Performance: The Mexican Experience |
0 |
0 |
0 |
146 |
0 |
0 |
0 |
585 |
Macroeconomic forecasting with real-time data: an empirical comparison |
0 |
0 |
0 |
79 |
0 |
1 |
2 |
121 |
Market Set-Up in Advance of Federal Reserve Policy Decisions |
0 |
0 |
0 |
40 |
0 |
0 |
0 |
110 |
Measuring and Predicting Heterogeneous Recessions |
0 |
0 |
0 |
76 |
0 |
0 |
3 |
282 |
Measuring and Predicting Heterogeneous Recessions |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
90 |
Measuring volatility with the realized range |
0 |
0 |
0 |
89 |
0 |
1 |
3 |
268 |
Modeling and Estimation of Synchronization in Multistate Markov-Switching Models |
0 |
0 |
1 |
89 |
1 |
1 |
2 |
222 |
Modeling and Forecasting S&P 500 Volatility: Long Memory, Structural Breaks and Nonlinearity |
0 |
0 |
0 |
822 |
0 |
0 |
4 |
2,402 |
Modeling asymmetric volatility in weekly Dutch temperature data |
0 |
0 |
3 |
26 |
0 |
0 |
3 |
72 |
Modeling regional house prices |
0 |
0 |
0 |
159 |
0 |
0 |
1 |
289 |
Modelling Multiple Regimes in the Business Cycle |
0 |
0 |
1 |
58 |
1 |
2 |
4 |
167 |
Moments, Shocks and Spillovers in Markov-switching VAR Models |
0 |
0 |
1 |
34 |
2 |
2 |
5 |
18 |
New HEAVY Models for Fat-Tailed Returns and Realized Covariance Kernels |
0 |
0 |
0 |
34 |
0 |
0 |
1 |
69 |
Nonlinear Error-Correction Models for Interest Rates in The Netherlands |
0 |
0 |
0 |
70 |
0 |
1 |
1 |
176 |
Nonlinear Forecasting With Many Predictors Using Kernel Ridge Regression |
0 |
0 |
0 |
169 |
2 |
2 |
2 |
474 |
Nonlinear Forecasting with Many Predictors using Kernel Ridge Regression |
0 |
0 |
0 |
104 |
0 |
0 |
0 |
241 |
Nonlinearities and outliers: robust specification of STAR models |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
143 |
On the Effects of Private Information on Volatility |
0 |
0 |
0 |
40 |
0 |
0 |
0 |
133 |
On the Effects of Private Information on Volatility |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
98 |
Out-of-sample Comparison of Copula Specifications in Multivariate Density Forecasts |
0 |
0 |
0 |
99 |
1 |
2 |
2 |
307 |
Out-of-sample comparison of copula specifications in multivariate density forecasts |
0 |
1 |
1 |
3 |
0 |
1 |
2 |
34 |
Out-of-sample comparison of copula specifications in multivariate density forecasts |
0 |
0 |
0 |
72 |
2 |
2 |
2 |
184 |
Out-of-sample comparison of copula specifications in multivariate density forecasts |
0 |
0 |
0 |
56 |
0 |
1 |
1 |
174 |
Outlier detection in the GARCH (1,1) model |
0 |
0 |
2 |
34 |
0 |
0 |
3 |
107 |
Panel Smooth Transition Regression Models |
1 |
4 |
24 |
251 |
3 |
8 |
61 |
907 |
Panel Smooth Transition Regression Models |
1 |
3 |
15 |
840 |
6 |
15 |
56 |
2,478 |
Panel Smooth Transition Regression Models |
4 |
9 |
55 |
3,230 |
21 |
48 |
266 |
9,764 |
Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails |
0 |
0 |
0 |
66 |
0 |
1 |
1 |
218 |
Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails |
0 |
0 |
0 |
38 |
0 |
1 |
1 |
202 |
Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails |
0 |
0 |
0 |
73 |
1 |
1 |
1 |
217 |
Predicting Covariance Matrices with Financial Conditions Indexes |
0 |
0 |
0 |
13 |
0 |
0 |
1 |
74 |
Predicting Growth Cycle Regimes for European Countries |
0 |
0 |
0 |
143 |
0 |
0 |
0 |
438 |
Predicting the Daily Covariance Matrix for S&P 100 Stocks using Intraday Data - But which Frequency to use? |
0 |
0 |
0 |
364 |
1 |
2 |
3 |
1,299 |
Predicting the Term Structure of Interest Rates: Incorporating Parameter Uncertainty, Model Uncertainty and Macroeconomic Information |
0 |
0 |
0 |
356 |
1 |
2 |
4 |
906 |
Predicting the term structure of interest rates incorporating parameter uncertainty, model uncertainty and macroeconomic information |
0 |
0 |
0 |
141 |
0 |
0 |
2 |
365 |
Range-based covariance estimation using high-frequency data: The realized co-range |
0 |
0 |
0 |
88 |
0 |
0 |
0 |
214 |
Realized mixed-frequency factor models for vast dimensional covariance estimation |
0 |
0 |
0 |
60 |
0 |
0 |
2 |
131 |
SETS, Arbitrage Activity, and Stock Price Dynamics |
0 |
0 |
0 |
310 |
0 |
1 |
1 |
1,382 |
Seasonal smooth transition autoregression |
0 |
0 |
1 |
39 |
0 |
0 |
2 |
123 |
Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy |
0 |
0 |
0 |
14 |
1 |
1 |
1 |
70 |
Semi-Parametric Modelling of Correlation Dynamics |
0 |
0 |
1 |
58 |
0 |
0 |
2 |
139 |
Short Patches of Outliers, ARCH and Volatility Modeling |
0 |
0 |
0 |
281 |
0 |
0 |
0 |
1,015 |
Short-term Volatility Versus Long-term Growth: Evidence in US Macroeconomic Time Series |
0 |
0 |
0 |
58 |
1 |
1 |
1 |
292 |
Short-term Volatility versus Long-term Growth: Evidence in US Macroeconomic Time Series |
0 |
0 |
0 |
134 |
0 |
0 |
1 |
456 |
Short-term Volatility versus Long-term Growth: Evidence in US Macroeconomic Time Series |
0 |
0 |
0 |
99 |
1 |
1 |
2 |
699 |
Short-term volatility versus long-term growth: evidence in US macroeconomic time series |
0 |
0 |
0 |
7 |
0 |
1 |
1 |
77 |
Slow Expectation-Maximization Convergence in Low-Noise Dynamic Factor Models |
0 |
0 |
0 |
45 |
0 |
3 |
6 |
26 |
Smooth Transition Autoregressive Models - A Survey of Recent Developments |
1 |
1 |
4 |
1,809 |
4 |
6 |
17 |
3,409 |
Smooth transition autoregressive models - A survey of recent developments |
2 |
3 |
5 |
459 |
4 |
6 |
12 |
876 |
Speed, Algorithmic Trading, and Market Quality around Macroeconomic News Announcements |
0 |
0 |
0 |
71 |
0 |
0 |
1 |
196 |
Stock Selection Strategies in Emerging Markets |
0 |
0 |
1 |
803 |
0 |
0 |
3 |
1,921 |
Structural Breaks in the International Transmission of Inflation |
0 |
0 |
0 |
210 |
0 |
1 |
1 |
465 |
Structural Differences in Economic Growth |
0 |
0 |
0 |
121 |
0 |
0 |
1 |
266 |
Term structure forecasting using macro factors and forecast combination |
0 |
0 |
0 |
154 |
1 |
2 |
4 |
327 |
Term structure forecasting using macro factors and forecast combination |
0 |
0 |
4 |
99 |
1 |
3 |
13 |
292 |
Testing for ARCH in the Presence of Additive Outliers |
0 |
0 |
0 |
26 |
1 |
1 |
2 |
140 |
Testing for Smooth Transition Nonlinearity in the Presence of Outliers |
0 |
0 |
0 |
47 |
0 |
0 |
0 |
141 |
Testing for Stochastic Unit Roots - Some Monte Carlo evidence |
0 |
0 |
0 |
14 |
1 |
1 |
3 |
52 |
Testing for Volatility Changes in US Macroeconomic Time Series |
0 |
0 |
0 |
334 |
0 |
0 |
0 |
818 |
Testing for causality in variance in the presence of breaks |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
75 |
Testing for causality in variance in the presence of breaks |
0 |
0 |
0 |
154 |
1 |
1 |
1 |
369 |
Testing for changes in volatility in heteroskedastic time series - a further examination |
0 |
0 |
0 |
56 |
0 |
0 |
2 |
204 |
The Economic Value of Fundamental and Technical Information in Emerging Currency Markets |
0 |
0 |
0 |
209 |
1 |
1 |
1 |
476 |
The Effects of Federal Funds Target Rate Changes on S&P100 Stock Returns, Volatilities, and Correlations |
0 |
1 |
2 |
300 |
1 |
2 |
4 |
576 |
The Euro Introduction and Non-Euro Currencies |
0 |
0 |
0 |
216 |
1 |
2 |
3 |
893 |
The Euro-introduction and non-Euro currencies |
0 |
0 |
0 |
0 |
2 |
2 |
4 |
13 |
The Inefficient Use of Macroeconomic Information in Analysts' Earnings Forecasts in Emerging Markets |
0 |
0 |
0 |
79 |
0 |
0 |
0 |
206 |
The Success Of Stock Selection Strategies In Emerging Markets: Is It Risk Or Behavioral Bias? |
0 |
0 |
0 |
146 |
0 |
0 |
1 |
448 |
The effects of institutional and technological change and business cycle fluctiations on seasonal patterns in quarterly industrial production series |
0 |
0 |
0 |
11 |
1 |
1 |
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 |
1 |
2 |
967 |
The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
85 |
Time Variation in Asset Return Dependence: Strength or Structure? |
0 |
0 |
0 |
49 |
0 |
0 |
0 |
148 |
Time series forecasting by principal covariate regression |
0 |
0 |
0 |
86 |
0 |
1 |
1 |
296 |
Time-Varying Smooth Transition Autoregressive Models |
0 |
0 |
0 |
175 |
1 |
3 |
5 |
2,143 |
Timing of Vote Decision in First and Second Order Dutch Elections 1978-1995: Evidence from Artificial Neural Networks |
0 |
0 |
0 |
19 |
0 |
0 |
0 |
85 |
Unit root tests and assymmetric adjustment |
0 |
0 |
0 |
6 |
1 |
1 |
3 |
44 |
When Do Managers Seek Private Equity Backing in Public-to-Private Transactions? |
0 |
0 |
0 |
146 |
1 |
1 |
3 |
476 |
Why do Pit-Hours outlive the Pit? |
0 |
0 |
1 |
9 |
1 |
2 |
4 |
61 |
Total Working Papers |
10 |
26 |
148 |
20,717 |
94 |
184 |
675 |
61,525 |
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 |
0 |
0 |
2 |
76 |
0 |
0 |
6 |
302 |
A multi-level panel STAR model for US manufacturing sectors |
0 |
1 |
3 |
378 |
1 |
4 |
10 |
1,023 |
A nonlinear long memory model, with an application to US unemployment |
0 |
0 |
5 |
134 |
0 |
0 |
7 |
344 |
A simple test for PPP among traded goods |
0 |
0 |
0 |
93 |
0 |
0 |
0 |
290 |
A unified approach to nonlinearity, structural change, and outliers |
0 |
0 |
0 |
167 |
1 |
1 |
3 |
406 |
Absorption of shocks in nonlinear autoregressive models |
0 |
0 |
0 |
48 |
0 |
1 |
14 |
158 |
Accelerating peak dating in a dynamic factor Markov-switching model |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
Are Statistical Reporting Agencies Getting It Right? Data Rationality and Business Cycle Asymmetry |
0 |
0 |
0 |
70 |
0 |
0 |
1 |
298 |
Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error* |
0 |
0 |
1 |
1 |
0 |
0 |
4 |
4 |
Bayesian forecasting of federal funds target rate decisions |
0 |
0 |
1 |
16 |
1 |
2 |
19 |
196 |
Can Tests for Stochastic Unit Roots Provide Useful Portmanteau Tests for Persistence? |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings |
0 |
1 |
1 |
3 |
0 |
2 |
4 |
19 |
Cointegration in a historical perspective |
0 |
0 |
2 |
28 |
1 |
1 |
4 |
131 |
Combining expert‐adjusted forecasts |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
11 |
Comparing the accuracy of multivariate density forecasts in selected regions of the copula support |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
57 |
Contagion as a domino effect in global stock markets |
0 |
1 |
2 |
123 |
1 |
2 |
5 |
453 |
Corporate Governance and Performance during the Aftermath of the 1994 Mexican Crisis |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
5 |
Corporate Governance and the Value of Excess Cash Holdings of Large European Firms |
0 |
0 |
1 |
10 |
0 |
0 |
1 |
53 |
Corporate governance and performance during normal and crisis periods: evidence from an emerging market perspective |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
13 |
Crisis macroeconómica y desempeño de la empresa individual. La experiencia mexicana |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
239 |
Do Leading Indicators Lead Peaks More Than Troughs? |
0 |
0 |
0 |
58 |
1 |
1 |
2 |
237 |
Does Africa grow slower than Asia, Latin America and the Middle East? Evidence from a new data-based classification method |
0 |
0 |
3 |
166 |
0 |
2 |
8 |
385 |
Forecast comparison of principal component regression and principal covariate regression |
0 |
0 |
0 |
70 |
0 |
0 |
0 |
208 |
Forecasting S&P 500 volatility: Long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements |
0 |
0 |
2 |
170 |
0 |
0 |
6 |
439 |
Forecasting Value-at-Risk under Temporal and Portfolio Aggregation |
0 |
1 |
4 |
14 |
0 |
1 |
9 |
54 |
Forecasting aggregates using panels of nonlinear time series |
0 |
0 |
0 |
66 |
1 |
1 |
2 |
171 |
Forecasting day-ahead electricity prices: Utilizing hourly prices |
0 |
0 |
0 |
50 |
1 |
1 |
3 |
159 |
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 |
0 |
1 |
4 |
68 |
Forecasting volatility with the realized range in the presence of noise and non-trading |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
60 |
Forecasting with Leading Indicators by means of the Principal Covariate Index |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
90 |
Getting the most out of macroeconomic information for predicting excess stock returns |
0 |
0 |
1 |
27 |
1 |
1 |
3 |
83 |
Identifying Changes in Mean, Seasonality, Persistence and Volatility for G7 and Euro Area Inflation |
0 |
0 |
1 |
23 |
0 |
0 |
1 |
85 |
Instability and Nonlinearity in the Euro-Area Phillips Curve |
0 |
0 |
0 |
84 |
1 |
1 |
3 |
355 |
Intraday price discovery in fragmented markets |
0 |
0 |
1 |
22 |
0 |
0 |
2 |
73 |
Likelihood-based scoring rules for comparing density forecasts in tails |
1 |
3 |
7 |
113 |
1 |
3 |
11 |
345 |
Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination |
0 |
0 |
0 |
300 |
2 |
4 |
9 |
653 |
MULTIVARIATE STAR ANALYSIS OF MONEY–OUTPUT RELATIONSHIP |
1 |
1 |
1 |
47 |
1 |
1 |
2 |
142 |
Macroeconomic forecasting with matched principal components |
0 |
0 |
0 |
44 |
0 |
0 |
1 |
198 |
Market Set‐up in Advance of Federal Reserve Policy Rate Decisions |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
19 |
Measuring and predicting heterogeneous recessions |
0 |
0 |
0 |
16 |
0 |
1 |
1 |
100 |
Measuring volatility with the realized range |
0 |
2 |
6 |
230 |
0 |
3 |
18 |
660 |
Modeling and estimation of synchronization in size-sorted portfolio returns |
0 |
0 |
1 |
1 |
0 |
0 |
1 |
1 |
Modelling regional house prices |
0 |
0 |
2 |
37 |
3 |
3 |
7 |
121 |
Moments, shocks and spillovers in Markov-switching VAR models |
0 |
0 |
4 |
8 |
0 |
1 |
11 |
23 |
New HEAVY Models for Fat-Tailed Realized Covariances and Returns |
0 |
0 |
2 |
5 |
1 |
1 |
3 |
14 |
Nonlinear forecasting with many predictors using kernel ridge regression |
0 |
0 |
1 |
20 |
0 |
1 |
8 |
102 |
On SETAR non-linearity and forecasting |
0 |
0 |
0 |
206 |
0 |
0 |
3 |
660 |
On the dynamics of business cycle analysis: editors' introduction |
0 |
0 |
1 |
1 |
0 |
0 |
1 |
6 |
On the dynamics of business cycle analysis: editors' introduction |
0 |
0 |
0 |
56 |
0 |
0 |
1 |
209 |
Order flow and volatility: An empirical investigation |
0 |
0 |
0 |
16 |
0 |
0 |
5 |
85 |
Out-of-sample comparison of copula specifications in multivariate density forecasts |
0 |
1 |
1 |
32 |
0 |
2 |
4 |
153 |
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 |
1 |
5 |
217 |
1 |
3 |
8 |
672 |
Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data—But Which Frequency to Use? |
0 |
0 |
0 |
173 |
1 |
1 |
4 |
686 |
Predicting volatility and correlations with Financial Conditions Indexes |
0 |
0 |
0 |
18 |
0 |
1 |
3 |
86 |
Range-Based Covariance Estimation Using High-Frequency Data: The Realized Co-Range -super-* |
0 |
0 |
0 |
30 |
0 |
1 |
3 |
123 |
Real-time macroeconomic forecasting with leading indicators: An empirical comparison |
0 |
0 |
0 |
29 |
0 |
1 |
4 |
241 |
Real-time macroeconomic forecasting with leading indicators: An empirical comparison |
0 |
0 |
0 |
8 |
0 |
0 |
2 |
51 |
Reply |
0 |
0 |
0 |
24 |
1 |
2 |
4 |
92 |
SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS |
1 |
2 |
19 |
2,450 |
3 |
10 |
62 |
4,769 |
Sample size, lag order and critical values of seasonal unit root tests |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
106 |
Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy* |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
96 |
Short patches of outliers, ARCH and volatility modelling |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
210 |
Speed, algorithmic trading, and market quality around macroeconomic news announcements |
0 |
0 |
11 |
83 |
5 |
8 |
25 |
309 |
Stock selection strategies in emerging markets |
2 |
3 |
7 |
281 |
3 |
5 |
15 |
810 |
Structural Breaks in the International Dynamics of Inflation |
0 |
2 |
2 |
68 |
1 |
4 |
5 |
212 |
Structural differences in economic growth: an endogenous clustering approach |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
171 |
Testing for ARCH in the Presence of Additive Outliers |
0 |
0 |
0 |
213 |
0 |
0 |
1 |
789 |
Testing for Smooth Transition Nonlinearity in the Presence of Outliers |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
512 |
Testing for Volatility Changes in U.S. Macroeconomic Time Series |
0 |
0 |
0 |
285 |
0 |
1 |
3 |
758 |
Testing for causality in variance in the presence of breaks |
0 |
0 |
0 |
66 |
0 |
1 |
1 |
203 |
The economic value of fundamental and technical information in emerging currency markets |
0 |
0 |
0 |
169 |
1 |
1 |
3 |
494 |
The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series |
0 |
0 |
0 |
84 |
3 |
4 |
5 |
468 |
The euro introduction and noneuro currencies |
0 |
0 |
0 |
39 |
0 |
0 |
0 |
198 |
The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production |
0 |
0 |
0 |
73 |
0 |
0 |
3 |
273 |
The success of stock selection strategies in emerging markets: Is it risk or behavioral bias? |
0 |
0 |
1 |
74 |
0 |
0 |
1 |
240 |
Time-Varying Smooth Transition Autoregressive Models |
0 |
0 |
0 |
8 |
0 |
2 |
3 |
1,684 |
Twenty years of cointegration |
0 |
0 |
0 |
43 |
0 |
1 |
1 |
90 |
When Do Managers Seek Private Equity Backing in Public-to-Private Transactions? |
0 |
1 |
1 |
30 |
0 |
1 |
7 |
122 |
Total Journal Articles |
5 |
20 |
102 |
7,757 |
37 |
89 |
375 |
24,647 |