Details about Matei Demetrescu
Access statistics for papers by Matei Demetrescu.
Last updated 2025-03-14. Update your information in the RePEc Author Service.
Short-id: pde359
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Working Papers
2025
- Predictive Quantile Regressions with Persistent and Heteroskedastic Predictors: A Powerful 2SLS Testing Approach
Essex Finance Centre Working Papers, University of Essex, Essex Business School
2023
- Tests of no cross-sectional error dependence in panel quantile regressions
Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen
2022
- Cross-Sectional Error Dependence in Panel Quantile Regressions
Working Papers, Banco de Portugal, Economics and Research Department
- Extensions to IVX Methods of Inference for Return Predictability
Essex Finance Centre Working Papers, University of Essex, Essex Business School View citations (6)
Also in Working Papers, Banco de Portugal, Economics and Research Department (2021) View citations (4)
See also Journal Article Extensions to IVX methods of inference for return predictability, Journal of Econometrics, Elsevier (2023) View citations (1) (2023)
- Transformed Regression-based Long-Horizon Predictability Tests
Essex Finance Centre Working Papers, University of Essex, Essex Business School View citations (1)
See also Journal Article Transformed regression-based long-horizon predictability tests, Journal of Econometrics, Elsevier (2023) View citations (2) (2023)
2021
- Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models
CREATES Research Papers, Department of Economics and Business Economics, Aarhus University
2019
- Testing for Episodic Predictability in Stock Returns
Essex Finance Centre Working Papers, University of Essex, Essex Business School View citations (1)
Also in Working Papers, Banco de Portugal, Economics and Research Department (2019) View citations (3)
See also Journal Article Testing for episodic predictability in stock returns, Journal of Econometrics, Elsevier (2022) View citations (4) (2022)
2018
- Predictive regressions under asymmetric loss: factor augmentation and model selection
Bank of England working papers, Bank of England 
See also Journal Article Predictive regressions under asymmetric loss: Factor augmentation and model selection, International Journal of Forecasting, Elsevier (2019) View citations (3) (2019)
- Testing the fractionally integrated hypothesis using M estimation: With an application to stock market volatility
Working Papers, Banco de Portugal, Economics and Research Department View citations (2)
2017
- Homogenous vs. heterogenous transition functions in smooth transition regressions: A LM-type test
Kiel Working Papers, Kiel Institute for the World Economy (IfW Kiel)
2016
- Fixed-b Inference in the Presence of Time-Varying Volatility
CREATES Research Papers, Department of Economics and Business Economics, Aarhus University
- Residual-augmented IVX predictive regression
Working Papers, Banco de Portugal, Economics and Research Department View citations (1)
See also Journal Article Residual-augmented IVX predictive regression, Journal of Econometrics, Elsevier (2022) View citations (3) (2022)
2015
- Fixed-b Asymptotics for t-Statistics in the Presence of Time-Varying Volatility
VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy, Verein für Socialpolitik / German Economic Association
- Testing heteroskedastic time series for normality
VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy, Verein für Socialpolitik / German Economic Association
2014
- Inference on the Long-Memory Properties of Time Series with Non-Stationary Volatility
Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät View citations (3)
See also Journal Article Inference on the long-memory properties of time series with non-stationary volatility, Economics Letters, Elsevier (2016) (2016)
2012
- IV-Based Cointegration Testing in Dependent Panels with Time-Varying Variance
VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century, Verein für Socialpolitik / German Economic Association View citations (1)
See also Journal Article IV-BASED COINTEGRATION TESTING IN DEPENDENT PANELS WITH TIME-VARYING VARIANCE, Journal of Time Series Analysis, Wiley Blackwell (2014) View citations (2) (2014)
- The Power of Unit Root Tests Against Nonlinear Local Alternatives
CREATES Research Papers, Department of Economics and Business Economics, Aarhus University View citations (4)
See also Journal Article The power of unit root tests against nonlinear local alternatives, Journal of Time Series Analysis, Wiley Blackwell (2013) View citations (3) (2013)
2008
- Testing for the Cointegrating Rank of a Vector Autoregressive Process with Uncertain Deterministic Trend Term
Economics Working Papers, European University Institute View citations (6)
See also Journal Article Testing for the cointegrating rank of a vector autoregressive process with uncertain deterministic trend term, Econometrics Journal, Royal Economic Society (2009) View citations (6) (2009)
Journal Articles
2025
- Is U.S. real output growth non-normal? A tale of time-varying location and scale
Journal of Economic Dynamics and Control, 2025, 171, (C)
- Testing the Predictive Ability of Possibly Persistent Variables under Asymmetric Loss
Econometrics and Statistics, 2025, 33, (C), 80-104
2024
- (Structural) VAR models with ignored changes in mean and volatility
International Journal of Forecasting, 2024, 40, (2), 840-854
2023
- Extensions to IVX methods of inference for return predictability
Journal of Econometrics, 2023, 237, (2) View citations (1)
See also Working Paper Extensions to IVX Methods of Inference for Return Predictability, Essex Finance Centre Working Papers (2022) View citations (6) (2022)
- Monitoring Value-at-Risk and Expected Shortfall Forecasts
Management Science, 2023, 69, (5), 2954-2971 View citations (3)
- Transformed regression-based long-horizon predictability tests
Journal of Econometrics, 2023, 237, (2) View citations (2)
See also Working Paper Transformed Regression-based Long-Horizon Predictability Tests, Essex Finance Centre Working Papers (2022) View citations (1) (2022)
2022
- Autoregressive spectral estimates under ignored changes in the mean
Journal of Time Series Analysis, 2022, 43, (2), 329-340
- Nonlinear Predictability of Stock Returns? Parametric Versus Nonparametric Inference in Predictive Regressions
Journal of Business & Economic Statistics, 2022, 40, (1), 382-397 View citations (1)
- Residual-augmented IVX predictive regression
Journal of Econometrics, 2022, 227, (2), 429-460 View citations (3)
See also Working Paper Residual-augmented IVX predictive regression, Working Papers (2016) View citations (1) (2016)
- Robust inference under time‐varying volatility: A real‐time evaluation of professional forecasters
Journal of Applied Econometrics, 2022, 37, (5), 1010-1030
- Testing for episodic predictability in stock returns
Journal of Econometrics, 2022, 227, (1), 85-113 View citations (4)
See also Working Paper Testing for Episodic Predictability in Stock Returns, Essex Finance Centre Working Papers (2019) View citations (1) (2019)
- Testing for no cointegration in vector autoregressions with estimated degree of fractional integration
Economic Modelling, 2022, 108, (C) View citations (1)
2021
- FINITE-SAMPLE SIZE CONTROL OF IVX-BASED TESTS IN PREDICTIVE REGRESSIONS
Econometric Theory, 2021, 37, (4), 769-793 View citations (6)
- Homogeneous vs. heterogeneous transition functions in panel smooth transition regressions
Econometric Reviews, 2021, 40, (2), 177-196
- Reevaluating the prudence of economic forecasts in the EU: The role of instrument persistence
Journal of Applied Econometrics, 2021, 36, (1), 151-161 View citations (1)
2020
- Bias corrections for exponentially transformed forecasts: Are they worth the effort?
International Journal of Forecasting, 2020, 36, (3), 761-780 View citations (1)
2019
- Predictive regressions under asymmetric loss: Factor augmentation and model selection
International Journal of Forecasting, 2019, 35, (1), 80-99 View citations (3)
See also Working Paper Predictive regressions under asymmetric loss: factor augmentation and model selection, Bank of England working papers (2018) (2018)
- Testing for constant correlation of filtered series under structural change
The Econometrics Journal, 2019, 22, (1), 10-33 View citations (7)
2018
- Multiple Testing for No Cointegration under Nonstationary Volatility
Oxford Bulletin of Economics and Statistics, 2018, 80, (3), 485-513
2016
- (WHEN) DO LONG AUTOREGRESSIONS ACCOUNT FOR NEGLECTED CHANGES IN PARAMETERS?
Econometric Theory, 2016, 32, (6), 1317-1348 View citations (5)
- Directed Tests of No Cross‐Sectional Correlation in Large‐N Panel Data Models
Journal of Applied Econometrics, 2016, 31, (1), 4-31 View citations (5)
- Inference on the long-memory properties of time series with non-stationary volatility
Economics Letters, 2016, 144, (C), 80-84 
See also Working Paper Inference on the Long-Memory Properties of Time Series with Non-Stationary Volatility, Hannover Economic Papers (HEP) (2014) View citations (3) (2014)
- Robust Inference for Near-Unit Root Processes with Time-Varying Error Variances
Econometric Reviews, 2016, 35, (5), 751-781 View citations (2)
2015
- Instrumental variable and variable addition based inference in predictive regressions
Journal of Econometrics, 2015, 187, (1), 358-375 View citations (27)
- Recursive Adjustment for General Deterministic Components and Improved Cointegration Rank Tests
Journal of Time Series Econometrics, 2015, 7, (2), 143-179 View citations (1)
2014
- Enhancing the local power of IVX-based tests in predictive regressions
Economics Letters, 2014, 124, (2), 269-273 View citations (4)
- IV-BASED COINTEGRATION TESTING IN DEPENDENT PANELS WITH TIME-VARYING VARIANCE
Journal of Time Series Analysis, 2014, 35, (5), 393-406 View citations (2)
See also Working Paper IV-Based Cointegration Testing in Dependent Panels with Time-Varying Variance, VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century (2012) View citations (1) (2012)
- Incorporating Asymmetric Preferences into Fan Charts and Path Forecasts
Oxford Bulletin of Economics and Statistics, 2014, 76, (2), 287-297 View citations (6)
2013
- Nonlinear IV panel unit root testing under structural breaks in the error variance
Statistical Papers, 2013, 54, (4), 1043-1066 View citations (2)
- The power of unit root tests against nonlinear local alternatives
Journal of Time Series Analysis, 2013, 34, (1), 40-61 View citations (3)
See also Working Paper The Power of Unit Root Tests Against Nonlinear Local Alternatives, CREATES Research Papers (2012) View citations (4) (2012)
2012
- A simple nonstationary-volatility robust panel unit root test
Economics Letters, 2012, 117, (1), 10-13 View citations (16)
2011
- Asymptotic normal tests for integration in panels with cross-dependent units
AStA Advances in Statistical Analysis, 2011, 95, (2), 187-204 View citations (12)
- Pitfalls of post-model-selection testing: experimental quantification
Empirical Economics, 2011, 40, (2), 359-372 View citations (18)
- Unit Root Testing in Heteroscedastic Panels Using the Cauchy Estimator
Journal of Business & Economic Statistics, 2011, 30, (2), 256-264 View citations (7)
2010
- Joint forecasts of Dow Jones stocks under general multivariate loss function
Computational Statistics & Data Analysis, 2010, 54, (11), 2360-2371 View citations (6)
- On the Dickey–Fuller test with White standard errors
Statistical Papers, 2010, 51, (1), 11-25 View citations (9)
- Testing for stationarity in large panels with cross-dependence, and US evidence on unit labor cost
Journal of Applied Statistics, 2010, 37, (8), 1381-1397 View citations (2)
2009
- Panel Unit Root Testing with Nonlinear Instruments for Infinite-Order Autoregressive Processes
Journal of Time Series Econometrics, 2009, 1, (2), 30 View citations (7)
- Panel unit root testing and the martingale difference hypothesis for German stocks
Economics Bulletin, 2009, 29, (3), 1749-1759
- Testing for the cointegrating rank of a vector autoregressive process with uncertain deterministic trend term
Econometrics Journal, 2009, 12, (3), 414-435 View citations (6)
See also Working Paper Testing for the Cointegrating Rank of a Vector Autoregressive Process with Uncertain Deterministic Trend Term, Economics Working Papers (2008) View citations (6) (2008)
2008
- Bias correction for the regression-based LM fractional integration test
AStA Advances in Statistical Analysis, 2008, 92, (1), 91-99 View citations (1)
- LONG MEMORY TESTING IN THE TIME DOMAIN
Econometric Theory, 2008, 24, (1), 176-215 View citations (62)
2007
- Effect of neglected deterministic seasonality on unit root tests
Statistical Papers, 2007, 48, (3), 385-402 View citations (11)
- Optimal forecast intervals under asymmetric loss
Journal of Forecasting, 2007, 26, (4), 227-238 View citations (3)
- Volatility Clustering in High-Frequency Data: A self-fulfilling prophecy?
Economics Bulletin, 2007, 7, (15), 1-8
2006
- An extension of the Gauss-Newton algorithm for estimation under asymmetric loss
Computational Statistics & Data Analysis, 2006, 50, (2), 379-401 View citations (3)
- Combining Significance of Correlated Statistics with Application to Panel Data*
Oxford Bulletin of Economics and Statistics, 2006, 68, (5), 647-663 View citations (68)
- Loss Reduction in Point Estimation Problems
Stochastics and Quality Control, 2006, 21, (2), 209-217
- What liquidity do hypothetical price impact curves measure?
Applied Financial Economics Letters, 2006, 2, (5), 301-303
2005
- Determining the Parameters of a Multinomial Distribution: The Fiducial Approach
Stochastics and Quality Control, 2005, 20, (2), 177-189
- Spurious Persistence and Unit Roots due to Seasonal Differencing: The Case of Inflation Rates / Künstliche Persistenz und Einheitswurzeln infolge saisonaler Differenzen: Das Beispiel Inflationsraten
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2005, 225, (4), 413-426 View citations (6)
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