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Fabrizio Iacone

Personal Details

First Name:Fabrizio
Middle Name:
Last Name:Iacone
Suffix:
RePEc Short-ID:pia24
[This author has chosen not to make the email address public]

Affiliation

(5%) Department of Economics and Related Studies
University of York

York, United Kingdom
http://www.york.ac.uk/economics/
RePEc:edi:deyoruk (more details at EDIRC)

(95%) Dipartimento di Economia, Management e Metodi Quantitativi (DEMM)
Università degli Studi di Milano

Milano, Italy
http://www.demm.unimi.it/
RePEc:edi:damilit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Laura Coroneo & Fabrizio Iacone, 2024. "Testing for equal predictive accuracy with strong dependence," Papers 2409.12662, arXiv.org.
  2. Fabrizio Iacone & Luca Rossini & Andrea Viselli, 2024. "Comparing predictive ability in presence of instability over a very short time," Papers 2405.11954, arXiv.org.
  3. Laura Coroneo & Fabrizio Iacone & Fabio Profumo, 2022. "Density forecast comparison in small samples," Discussion Papers 22/03, Department of Economics, University of York.
  4. Fabrizio Iacone & Morten Ørregaard Nielsen & Robert Taylor, 2021. "Semiparametric Tests for the Order of Integration in the Possible Presence of Level Breaks," CREATES Research Papers 2021-04, Department of Economics and Business Economics, Aarhus University.
  5. Laura Coroneo, & Fabrizio Iacone, & Giancarlo Manzi, & Silvia Salini, 2021. "Predicting the COVID-19 epidemic: is a regional approach preferable?," Discussion Papers 21/06, Department of Economics, University of York.
  6. Laura Coroneo & Fabrizio Iacone & Alessia Paccagnini & Paulo Santos Monteiro, 2021. "Testing the predictive accuracy of COVID-19 forecasts," CAMA Working Papers 2021-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  7. Laura Coroneo & Fabrizio Iacone & Fabio Profumo, 2019. "A Real-time Density Forecast Evaluation of the ECB Survey of Professional Forecasters," Discussion Papers 19/14, Department of Economics, University of York.
  8. Iacone, Fabrizio & Leybourne, Stephen J & Taylor, AM Robert, 2017. "Testing the Order of Fractional Integration of a Time Series in the Possible Presence of a Trend Break at an Unknown Point," Essex Finance Centre Working Papers 19654, University of Essex, Essex Business School.
  9. Fabrizio Iacone & Stepana Lazarova, 2017. "Semiparametric detection of changes in long range dependence," Working Papers 830, Queen Mary University of London, School of Economics and Finance.
  10. Javier Hualde & Fabrizio Iacone, 2015. "Autocorrelation robust inference using the Daniell kernel with fixed bandwidth," Discussion Papers 15/14, Department of Economics, University of York.
  11. Laura Coroneo & Fabrizio Iacone, 2015. "Comparing predictive accuracy in small samples," Discussion Papers 15/15, Department of Economics, University of York.
  12. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2011. "On the behaviour of fixed-b trend break tests under fractional integration," Discussion Papers 11/03, University of Nottingham, Granger Centre for Time Series Econometrics.
  13. Fabrizio Iacone & Steve Martin & Luigi Siciliani & Peter C Smith, 2007. "Modelling the Dynamics of a Public Health Care System: Evidence from Time-Series Data," Working Papers 029cherp, Centre for Health Economics, University of York.
  14. Fabrizio Iacone & Peter M Robinson, 2004. "Cointegration in Fractional Systems with Deterministic Trends," STICERD - Econometrics Paper Series 476, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  15. Favero, Carlo A. & Giavazzi, Francesco & Iacone, Fabrizio & Tabellini, Guido, 1997. "Extracting Information from Asset Prices: The Methodology of EMU Calculators," CEPR Discussion Papers 1676, C.E.P.R. Discussion Papers.
  16. Favero, Carlo A. & Iacone, Fabrizio & Pifferi, Marco, 1996. "Monetary Policy, Forward Rates and Long Rates: Does Germany Differ from the United States?," CEPR Discussion Papers 1456, C.E.P.R. Discussion Papers.
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Articles

  1. Coroneo, Laura & Iacone, Fabrizio & Profumo, Fabio, 2024. "Survey density forecast comparison in small samples," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1486-1504.
  2. Coroneo, Laura & Iacone, Fabrizio & Paccagnini, Alessia & Santos Monteiro, Paulo, 2023. "Testing the predictive accuracy of COVID-19 forecasts," International Journal of Forecasting, Elsevier, vol. 39(2), pages 606-622.
  3. Fabrizio Iacone & Morten Ørregaard Nielsen & A. M. Robert Taylor, 2022. "Semiparametric Tests for the Order of Integration in the Possible Presence of Level Breaks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 880-896, April.
  4. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
  5. Fabrizio Iacone & Štěpána Lazarová, 2019. "Semiparametric Detection of Changes in Long Range Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(5), pages 693-706, September.
  6. Iacone, Fabrizio & Leybourne, Stephen J. & Taylor, A.M. Robert, 2019. "Testing The Order Of Fractional Integration Of A Time Series In The Possible Presence Of A Trend Break At An Unknown Point," Econometric Theory, Cambridge University Press, vol. 35(6), pages 1201-1233, December.
  7. Javier Hualde & Fabrizio Iacone, 2019. "Fixed Bandwidth Inference for Fractional Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(4), pages 544-572, July.
  8. Hualde, Javier & Iacone, Fabrizio, 2017. "Fixed bandwidth asymptotics for the studentized mean of fractionally integrated processes," Economics Letters, Elsevier, vol. 150(C), pages 39-43.
  9. Hualde, Javier & Iacone, Fabrizio, 2017. "Revisiting inflation in the euro area allowing for long memory," Economics Letters, Elsevier, vol. 156(C), pages 145-150.
  10. Iacone Fabrizio & Leybourne Stephen J. & Robert Taylor A.M., 2017. "Testing for a Change in Mean under Fractional Integration," Journal of Time Series Econometrics, De Gruyter, vol. 9(1), pages 1-8, January.
  11. Javier Hualde & Fabrizio Iacone, 2015. "Small-b and Fixed-b Asymptotics for Weighted Covariance Estimation in Fractional Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 528-540, July.
  12. Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.
  13. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.
  14. Iacone, Fabrizio & Leybourne, Stephen J. & Taylor, A.M. Robert, 2013. "ON THE BEHAVIOR OF FIXED-b TREND BREAK TESTS UNDER FRACTIONAL INTEGRATION," Econometric Theory, Cambridge University Press, vol. 29(2), pages 393-418, April.
  15. Iacone, Fabrizio & Leybourne, Stephen J. & Robert Taylor, A.M., 2013. "Testing for a break in trend when the order of integration is unknown," Journal of Econometrics, Elsevier, vol. 176(1), pages 30-45.
  16. Hualde Javier & Iacone Fabrizio, 2012. "First Stage Estimation of Fractional Cointegration," Journal of Time Series Econometrics, De Gruyter, vol. 4(1), pages 1-32, May.
  17. Fabrizio Iacone & Steve Martin & Luigi Siciliani & Peter C. Smith, 2012. "Modelling the dynamics of a public health care system: evidence from time-series data," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 2955-2968, August.
  18. Fabrizio Iacone, 2010. "Local Whittle estimation of the memory parameter in presence of deterministic components," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(1), pages 37-49, January.
  19. Fabrizio Iacone, 2009. "A Semiparametric Analysis of the Term Structure of the US Interest Rates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 475-490, August.
  20. Robinson, P.M. & Iacone, F., 2005. "Cointegration in fractional systems with deterministic trends," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 263-298.
  21. Favero, Carlo A. & Giavazzi, Francesco & Iacone, Fabrizio & Guido Tabellini, 2000. "Extracting information from asset prices: The methodology of EMU calculators," European Economic Review, Elsevier, vol. 44(9), pages 1607-1632, October.

Chapters

  1. Fabrizio Iacone & Renzo Orsi, 2009. "Inflation Control in Central and Eastern European Countries," World Scientific Book Chapters, in: Dipak Basu (ed.), Economic Models Methods, Theory and Applications, chapter 9, pages 173-200, World Scientific Publishing Co. Pte. Ltd..

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Laura Coroneo & Fabrizio Iacone, 2024. "Testing for equal predictive accuracy with strong dependence," Papers 2409.12662, arXiv.org.

    Cited by:

    1. Coroneo, Laura & Iacone, Fabrizio & Profumo, Fabio, 2024. "Survey density forecast comparison in small samples," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1486-1504.

  2. Fabrizio Iacone & Morten Ørregaard Nielsen & Robert Taylor, 2021. "Semiparametric Tests for the Order of Integration in the Possible Presence of Level Breaks," CREATES Research Papers 2021-04, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    2. Canepa, Alessandra, 2024. "Inflation dynamics and persistence: The importance of the uncertainty channel," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    3. Canepa, Alessandra, 2022. "Ination Dynamics and Time-Varying Persistence: The Importance of the Uncertainty Channel," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202211, University of Turin.

  3. Laura Coroneo & Fabrizio Iacone & Alessia Paccagnini & Paulo Santos Monteiro, 2021. "Testing the predictive accuracy of COVID-19 forecasts," CAMA Working Papers 2021-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Medeiros, Marcelo C. & Street, Alexandre & Valladão, Davi & Vasconcelos, Gabriel & Zilberman, Eduardo, 2022. "Short-term Covid-19 forecast for latecomers," International Journal of Forecasting, Elsevier, vol. 38(2), pages 467-488.
    2. Corradi, Valentina & Fosten, Jack & Gutknecht, Daniel, 2024. "Predictive ability tests with possibly overlapping models," Journal of Econometrics, Elsevier, vol. 241(1).

  4. Laura Coroneo & Fabrizio Iacone & Fabio Profumo, 2019. "A Real-time Density Forecast Evaluation of the ECB Survey of Professional Forecasters," Discussion Papers 19/14, Department of Economics, University of York.

    Cited by:

    1. Allayioti, Anastasia & Arioli, Rodolfo & Bates, Colm & Botelho, Vasco & Fagandini, Bruno & Fonseca, Luís & Healy, Peter & Meyler, Aidan & Minasian, Ryan & Zahrt, Octavia, 2024. "A look back at 25 years of the ECB SPF," Occasional Paper Series 364, European Central Bank.
    2. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.

  5. Iacone, Fabrizio & Leybourne, Stephen J & Taylor, AM Robert, 2017. "Testing the Order of Fractional Integration of a Time Series in the Possible Presence of a Trend Break at an Unknown Point," Essex Finance Centre Working Papers 19654, University of Essex, Essex Business School.

    Cited by:

    1. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    2. Skrobotov, Anton, 2020. "Survey on structural breaks and unit root tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 96-141.
    3. Carina Gerstenberger, 2021. "Robust discrimination between long‐range dependence and a change in mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(1), pages 34-62, January.
    4. Karanasos, Menelaos & Paraskevopoulos, Alexandros & Magdalinos, Anastasios & Canepa, Alessandra, 2024. "A Unified Theory for Arma Models with Varying Coefficients: One Solution Fits All," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202413, University of Turin.

  6. Fabrizio Iacone & Stepana Lazarova, 2017. "Semiparametric detection of changes in long range dependence," Working Papers 830, Queen Mary University of London, School of Economics and Finance.

    Cited by:

    1. Zhanshou Chen & Yanting Xiao & Fuxiao Li, 2021. "Monitoring memory parameter change-points in long-memory time series," Empirical Economics, Springer, vol. 60(5), pages 2365-2389, May.

  7. Javier Hualde & Fabrizio Iacone, 2015. "Autocorrelation robust inference using the Daniell kernel with fixed bandwidth," Discussion Papers 15/14, Department of Economics, University of York.

    Cited by:

    1. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
    2. Laura Coroneo & Fabrizio Iacone, 2015. "Comparing predictive accuracy in small samples," Discussion Papers 15/15, Department of Economics, University of York.

  8. Laura Coroneo & Fabrizio Iacone, 2015. "Comparing predictive accuracy in small samples," Discussion Papers 15/15, Department of Economics, University of York.

    Cited by:

    1. Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
    2. Rubaszek, Michał & Karolak, Zuzanna & Kwas, Marek, 2020. "Mean-reversion, non-linearities and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 65(C).
    3. Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
    4. TAKAMIZAWA, Hideyuki & 高見澤, 秀幸, 2017. "A Term Structure Model of Interest Rates with Quadratic Volatility," Working Paper Series G-1-18, Hitotsubashi University Center for Financial Research.
    5. David I. Harvey & Stephen J. Leybourne & Emily J. Whitehouse, 2017. "Forecast evaluation tests and negative long-run variance estimates in small samples," Discussion Papers 17/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    6. Alberto Caruso & Laura Coroneo, 2019. "Predicting interest rates in real-time," Discussion Papers 19/18, Department of Economics, University of York.
    7. Michael W. McCracken & Serena Ng, 2021. "FRED-QD: A Quarterly Database for Macroeconomic Research," Review, Federal Reserve Bank of St. Louis, vol. 103(1), pages 1-44, January.
    8. Döhrn, Roland, 2019. "Comparing forecast accuracy in small samples," Ruhr Economic Papers 833, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.
    10. Rubaszek Michal & Karolak Zuzanna & Kwas Marek & Uddin Gazi Salah, 2020. "The role of the threshold effect for the dynamics of futures and spot prices of energy commodities," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-20, December.
    11. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.

  9. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2011. "On the behaviour of fixed-b trend break tests under fractional integration," Discussion Papers 11/03, University of Nottingham, Granger Centre for Time Series Econometrics.

    Cited by:

    1. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    2. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.
    3. Skrobotov, Anton, 2020. "Survey on structural breaks and unit root tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 96-141.
    4. Javier Hualde & Fabrizio Iacone, 2015. "Small-b and Fixed-b Asymptotics for Weighted Covariance Estimation in Fractional Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 528-540, July.
    5. Carina Gerstenberger, 2021. "Robust discrimination between long‐range dependence and a change in mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(1), pages 34-62, January.
    6. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  10. Fabrizio Iacone & Steve Martin & Luigi Siciliani & Peter C Smith, 2007. "Modelling the Dynamics of a Public Health Care System: Evidence from Time-Series Data," Working Papers 029cherp, Centre for Health Economics, University of York.

    Cited by:

    1. Reibling, Nadine, 2013. "The international performance of healthcare systems in population health: Capabilities of pooled cross-sectional time series methods," Health Policy, Elsevier, vol. 112(1), pages 122-132.

  11. Fabrizio Iacone & Peter M Robinson, 2004. "Cointegration in Fractional Systems with Deterministic Trends," STICERD - Econometrics Paper Series 476, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Luis Gil-Alana & Rolando Peláez, 2008. "The persistence of earnings per share," Review of Quantitative Finance and Accounting, Springer, vol. 31(4), pages 425-439, November.
    2. Hualde, Javier & Nielsen, Morten Ørregaard, 2020. "Truncated Sum Of Squares Estimation Of Fractional Time Series Models With Deterministic Trends," Econometric Theory, Cambridge University Press, vol. 36(4), pages 751-772, August.
    3. Maria Malmierca-Ordoqui & Luis A. Gil-Alana & Manuel Monge, 2024. "Fractional cointegration between energy imports to the EURO area and exchange rates to the US dollar," Empirical Economics, Springer, vol. 66(2), pages 859-882, February.
    4. Luis A. Gil-Alana, 2009. "Warming break trends and fractional integration in the northern, southern and global temperature anomaly series," Faculty Working Papers 09/09, School of Economics and Business Administration, University of Navarra.
    5. Jiawen Xu & Pierre Perron, 2013. "Robust testing of time trend and mean with unknown integration order errors Frequency (and Other) Contaminations," Boston University - Department of Economics - Working Papers Series 2013-006, Boston University - Department of Economics.
    6. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    7. Hualde, J. & Robinson, P.M., 2010. "Semiparametric inference in multivariate fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 157(2), pages 492-511, August.
    8. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," Working Paper 1458, Economics Department, Queen's University.
    9. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2007. "Long Run and Cyclical Dynamics in the US Stock Market," CESifo Working Paper Series 2046, CESifo.
    10. Ignacio N Lobato & Carlos Velasco, 2007. "Efficient Wald Tests for Fractional Unit Roots," Econometrica, Econometric Society, vol. 75(2), pages 575-589, March.
    11. Katarzyna Lasak, 2008. "Maximum likelihood estimation of fractionally cointegrated systems," CREATES Research Papers 2008-53, Department of Economics and Business Economics, Aarhus University.
    12. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    13. Hualde Javier & Iacone Fabrizio, 2012. "First Stage Estimation of Fractional Cointegration," Journal of Time Series Econometrics, De Gruyter, vol. 4(1), pages 1-32, May.
    14. Galeotti, Marzio & Manera, Matteo & Lanza, Alessandro, 2006. "On the Robustness of Robustness Checks of the Environmental Kuznets Curve," Climate Change Modelling and Policy Working Papers 12045, Fondazione Eni Enrico Mattei (FEEM).
    15. Iacone, Fabrizio & Leybourne, Stephen J. & Robert Taylor, A.M., 2013. "Testing for a break in trend when the order of integration is unknown," Journal of Econometrics, Elsevier, vol. 176(1), pages 30-45.
    16. Uwe Hassler & Francesc Marmol & Carlos Velasco, 2008. "Fractional cointegration in the presence of linear trends," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(6), pages 1088-1103, November.
    17. J. Cunado & L.A. Gil-Alana & F. Perez De Gracia, 2007. "Real convergence in some emerging countries : a fractionally integrated approach," Discussion Papers (REL - Recherches Economiques de Louvain) 2007034, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    18. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.
    19. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2006. "Purchasing Power Parity: The Irish Experience Re-visited," Trinity Economics Papers tep200615, Trinity College Dublin, Department of Economics.

  12. Favero, Carlo A. & Giavazzi, Francesco & Iacone, Fabrizio & Tabellini, Guido, 1997. "Extracting Information from Asset Prices: The Methodology of EMU Calculators," CEPR Discussion Papers 1676, C.E.P.R. Discussion Papers.

    Cited by:

    1. Attila Csajbók & András Rezessy, 2006. "Hungary'S Eurozone Entry Date: What Do The Markets Think And What If They Change Their Minds?," Contemporary Economic Policy, Western Economic Association International, vol. 24(3), pages 343-356, July.
    2. Fagan, Gabriel & Gaspar, Ví­tor, 2008. "Macroeconomic adjustment to monetary union," Working Paper Series 946, European Central Bank.
    3. Fagan, Gabriel & Gaspar, Ví­tor, 2007. "Adjusting to the euro," Working Paper Series 716, European Central Bank.
    4. Marchetti, Domenico J. & Nucci, Francesco, 2005. "Price stickiness and the contractionary effect of technology shocks," European Economic Review, Elsevier, vol. 49(5), pages 1137-1163, July.
    5. Juan-Ángel Jiménez-Martín & Alfonso Novales Cinca, 2009. "State-Uncertainty preferences and the Risk Premium in the Exchange rate market," Documentos de Trabajo del ICAE 2009-17, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. Livio Stracca, "undated". "Economics and Politics: Interest Rate Convergence in Europe and EMU," Discussion Papers in European Economics 99/6, Division of Economics, School of Business, University of Leicester.
    7. Favero, Carlo A., 1999. "Financial markets' assessments of EMU : A comment," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 51(1), pages 271-280, December.
    8. Raphaëlle Bellando & S. Pfister & Jean-Paul Pollin, 2000. "Evolution et déterminants de la crédibilité de l'Union Monétaire Européenne durant la phase de transition : une étude comparative France, Italie et Grande Bretagne," Post-Print halshs-00287977, HAL.
    9. Viktors Ajevskis & Kristine Vitola, 2009. "A Convergence Model of the Term Structure of Interest Rates," Working Papers 2009/01, Latvijas Banka.
    10. Reher, Gerrit & Wilfling, Bernd, 2014. "The valuation of European call options on zero-coupon bonds in the run-up to a fixed exchange-rate regime," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 483-496.
    11. Anna Naszódi, 2008. "Are the exchange rates of EMU candidate countries anchored by their expected euro locking rates?," MNB Working Papers 2008/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    12. Wilfling, Bernd, 2009. "Volatility regime-switching in European exchange rates prior to monetary unification," Journal of International Money and Finance, Elsevier, vol. 28(2), pages 240-270, March.
    13. Juan Ángel Jiménez Martín & Rodrigo Peruga Urrea, 2003. "La Transición al Euro y la Prima de Riesgo en el Mercado de Divisas," Documentos de Trabajo del ICAE 0306, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    14. Arturo Bris & Yrjö Koskinen & Mattias Nilsson, 2009. "The Euro and Corporate Valuations," The Review of Financial Studies, Society for Financial Studies, vol. 22(8), pages 3171-3209, August.
    15. Martin Cincibuch & Matrina Horníková, 2008. "Measuring the Financial Markets’ Perception of EMU Enlargement: The Role of Ambiguity Aversion," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 58(05-06), pages 210-230, August.
    16. Driessen, Joost & Perotti, Enrico, 2011. "Confidence building on Euro convergence: Evidence from currency options," Journal of International Money and Finance, Elsevier, vol. 30(3), pages 474-491, April.
    17. Hallerberg, Mark, 2000. "The importance of domestic political institutions: Why and how Belgium and Italy qualified for EMU," ZEI Working Papers B 10-2000, University of Bonn, ZEI - Center for European Integration Studies.
    18. Perotti, Enrico & Driessen, Joost, 2004. "Confidence Building on Euro Conversion: Theory and Evidence from Currency Options," CEPR Discussion Papers 4180, C.E.P.R. Discussion Papers.
    19. Juan-Ángel Jiménez-Martín & Rodrigo Peruga Urrea, 2004. "Macroeconomic and policy uncertainty and Exchange rate risk Premium," Documentos de Trabajo del ICAE 0412, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    20. Bernardino Adao & Jorge Barros Luis, 2000. "Interest rate spreads implicit in options: Spain and Italy against Germany," Applied Financial Economics, Taylor & Francis Journals, vol. 10(2), pages 155-161.
    21. Bates, David S., 1999. "Financial markets' assessments of EMU," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 51(1), pages 229-269, December.

  13. Favero, Carlo A. & Iacone, Fabrizio & Pifferi, Marco, 1996. "Monetary Policy, Forward Rates and Long Rates: Does Germany Differ from the United States?," CEPR Discussion Papers 1456, C.E.P.R. Discussion Papers.

    Cited by:

    1. Fabio C. Bagliano & Carlo A. Favero, "undated". "Measuring Monetary Policy with VAR Models: an Evaluation," Working Papers 132, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Papadamou, Stephanos, 2013. "Market anticipation of monetary policy actions and interest rate transmission to US Treasury market rates," Economic Modelling, Elsevier, vol. 33(C), pages 545-551.
    3. Andrew G Haldane & Vicky Read, 2000. "Monetary policy surprises and the yield curve," Bank of England working papers 106, Bank of England.
    4. Andersson, Malin & Dillen, Hans & Sellin, Peter, 2006. "Monetary policy signaling and movements in the term structure of interest rates," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1815-1855, November.
    5. Andersson, Malin & Dillén, Hans & Sellin, Peter, 2001. "Monetary Policy Signaling and Movements in the Swedish Term Structure of Interest Rates," Working Paper Series 132, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jan 2004.
    6. Malin Andersson & Hans Dillén & Peter Sellin, 2002. "Monetary policy signalling and movements in the Swedish term structure of interest rates," BIS Papers chapters, in: Bank for International Settlements (ed.), Market functioning and central bank policy, volume 12, pages 268-297, Bank for International Settlements.
    7. Gabriel Pérez Quirós & Jorge Sicilia, 2002. "Is the European Central Bank (and the United States Federal Reserve) predictable?," Working Papers 0229, Banco de España.

Articles

  1. Coroneo, Laura & Iacone, Fabrizio & Paccagnini, Alessia & Santos Monteiro, Paulo, 2023. "Testing the predictive accuracy of COVID-19 forecasts," International Journal of Forecasting, Elsevier, vol. 39(2), pages 606-622.
    See citations under working paper version above.
  2. Fabrizio Iacone & Morten Ørregaard Nielsen & A. M. Robert Taylor, 2022. "Semiparametric Tests for the Order of Integration in the Possible Presence of Level Breaks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 880-896, April.
    See citations under working paper version above.
  3. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.

    Cited by:

    1. Matei Demetrescu & Christoph Hanck & Robinson Kruse‐Becher, 2022. "Robust inference under time‐varying volatility: A real‐time evaluation of professional forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1010-1030, August.
    2. Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
    3. Tobias Fissler & Yannick Hoga, 2021. "Backtesting Systemic Risk Forecasts using Multi-Objective Elicitability," Papers 2104.10673, arXiv.org, revised Feb 2022.
    4. Jasiński, Tomasz, 2020. "Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach," Energy, Elsevier, vol. 213(C).
    5. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    6. Philipp Wegmueller & Christian Glocker, 2024. "Capturing Swiss economic confidence," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-17, December.
    7. Tobias Fissler & Yannick Hoga, 2024. "How to Compare Copula Forecasts?," Papers 2410.04165, arXiv.org.
    8. Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
    9. Bastianin, Andrea & Li, Xiao & Shamsudin, Luqman, 2025. "Forecasting the Volatility of Energy Transition Metals," FEEM Working Papers 349169, Fondazione Eni Enrico Mattei (FEEM).
    10. Andrea Bastianin & Elisabetta Mirto & Yan Qin & Luca Rossini, 2024. "What drives the European carbon market? Macroeconomic factors and forecasts," Working Papers 2024.02, Fondazione Eni Enrico Mattei.
    11. Julien Andre & Marie Bessec, 2024. "A Mixed-Frequency Factor Model for Nowcasting French GDP," Working papers 975, Banque de France.
    12. Coroneo, Laura & Iacone, Fabrizio & Profumo, Fabio, 2024. "Survey density forecast comparison in small samples," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1486-1504.
    13. Katleho Makatjane & Tshepiso Tsoku, 2022. "Bootstrapping Time-Varying Uncertainty Intervals for Extreme Daily Return Periods," IJFS, MDPI, vol. 10(1), pages 1-23, January.
    14. Alberto Caruso & Laura Coroneo, 2019. "Predicting interest rates in real-time," Discussion Papers 19/18, Department of Economics, University of York.
    15. Goliński, Adam & Madeira, João & Rambaccussing, Dooruj, 2025. "Return predictability, dividend growth, and the persistence of the price–dividend ratio," International Journal of Forecasting, Elsevier, vol. 41(1), pages 92-110.
    16. Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic Forecasting in a Multi-country Context," Working Papers 22-02, Federal Reserve Bank of Cleveland.
    17. Coroneo, Laura & Iacone, Fabrizio & Paccagnini, Alessia & Santos Monteiro, Paulo, 2023. "Testing the predictive accuracy of COVID-19 forecasts," International Journal of Forecasting, Elsevier, vol. 39(2), pages 606-622.
    18. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    19. Corradi, Valentina & Fosten, Jack & Gutknecht, Daniel, 2024. "Predictive ability tests with possibly overlapping models," Journal of Econometrics, Elsevier, vol. 241(1).
    20. Christian Glocker & Serguei Kaniovski, 2020. "Macroeconometric Forecasting Using a Cluster of Dynamic Factor Models," WIFO Working Papers 614, WIFO.
    21. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
    22. Wegmüller, Philipp & Glocker, Christian & Guggia, Valentino, 2023. "Weekly economic activity: Measurement and informational content," International Journal of Forecasting, Elsevier, vol. 39(1), pages 228-243.
    23. Fabrizio Iacone & Luca Rossini & Andrea Viselli, 2024. "Comparing predictive ability in presence of instability over a very short time," Papers 2405.11954, arXiv.org.

  4. Fabrizio Iacone & Štěpána Lazarová, 2019. "Semiparametric Detection of Changes in Long Range Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(5), pages 693-706, September.
    See citations under working paper version above.
  5. Iacone, Fabrizio & Leybourne, Stephen J. & Taylor, A.M. Robert, 2019. "Testing The Order Of Fractional Integration Of A Time Series In The Possible Presence Of A Trend Break At An Unknown Point," Econometric Theory, Cambridge University Press, vol. 35(6), pages 1201-1233, December.
    See citations under working paper version above.
  6. Javier Hualde & Fabrizio Iacone, 2019. "Fixed Bandwidth Inference for Fractional Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(4), pages 544-572, July.

    Cited by:

    1. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    2. Jungbin Hwang & Yixiao Sun, 2025. "Asymptotic F and t Tests in Cointegrating Regressions with Asymptotically Homogeneous Functions," Working papers 2025-01, University of Connecticut, Department of Economics.

  7. Hualde, Javier & Iacone, Fabrizio, 2017. "Fixed bandwidth asymptotics for the studentized mean of fractionally integrated processes," Economics Letters, Elsevier, vol. 150(C), pages 39-43.

    Cited by:

    1. Wenger, Kai & Leschinski, Christian, 2018. "Fixed-Bandwidth CUSUM Tests Under Long Memory," Hannover Economic Papers (HEP) dp-647, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Coroneo, Laura & Iacone, Fabrizio & Profumo, Fabio, 2024. "Survey density forecast comparison in small samples," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1486-1504.
    3. David I. Harvey & Stephen J. Leybourne & Emily J. Whitehouse, 2017. "Forecast evaluation tests and negative long-run variance estimates in small samples," Discussion Papers 17/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    4. Coroneo, Laura & Iacone, Fabrizio & Paccagnini, Alessia & Santos Monteiro, Paulo, 2023. "Testing the predictive accuracy of COVID-19 forecasts," International Journal of Forecasting, Elsevier, vol. 39(2), pages 606-622.
    5. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
    6. Dräger, Lena & Kolaiti, Theoplasti & Sibbertsen, Philipp, 2020. "Measuring Macroeconomic Convergence and Divergence within EMU Using Long Memory," Hannover Economic Papers (HEP) dp-675, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, revised Feb 2021.
    7. Hualde, Javier & Iacone, Fabrizio, 2017. "Revisiting inflation in the euro area allowing for long memory," Economics Letters, Elsevier, vol. 156(C), pages 145-150.

  8. Hualde, Javier & Iacone, Fabrizio, 2017. "Revisiting inflation in the euro area allowing for long memory," Economics Letters, Elsevier, vol. 156(C), pages 145-150.

    Cited by:

    1. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2018. "Integration and Disintegration of EMU Government Bond Markets," Hannover Economic Papers (HEP) dp-625, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Dräger, Lena & Kolaiti, Theoplasti & Sibbertsen, Philipp, 2020. "Measuring Macroeconomic Convergence and Divergence within EMU Using Long Memory," Hannover Economic Papers (HEP) dp-675, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, revised Feb 2021.

  9. Iacone Fabrizio & Leybourne Stephen J. & Robert Taylor A.M., 2017. "Testing for a Change in Mean under Fractional Integration," Journal of Time Series Econometrics, De Gruyter, vol. 9(1), pages 1-8, January.

    Cited by:

    1. Skrobotov, Anton, 2020. "Survey on structural breaks and unit root tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 96-141.
    2. Carina Gerstenberger, 2021. "Robust discrimination between long‐range dependence and a change in mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(1), pages 34-62, January.
    3. Daiqing Xi & Tianxiao Pang, 2021. "Estimating multiple breaks in mean sequentially with fractionally integrated errors," Statistical Papers, Springer, vol. 62(1), pages 451-494, February.

  10. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.

    Cited by:

    1. Less, Vivien & Rodrigues, Paulo M. M. & Sibbertsen, Philipp, 2025. "Testing for Multiple Structural Breaks in Multivariate Long Memory Regression Models," Hannover Economic Papers (HEP) dp-735, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Seong Yeon Chang & Pierre Perron, 2016. "Inference on a Structural Break in Trend with Fractionally Integrated Errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 555-574, July.
    3. Wenger, Kai & Leschinski, Christian & Sibbertsen, Philipp, 2017. "A Simple Test on Structural Change in Long-Memory Time Series," Hannover Economic Papers (HEP) dp-592, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Sibbertsen, Philipp & Wenger, Kai & Wingert, Simon, 2020. "Testing for Multiple Structural Breaks in Multivariate Long Memory Time Series," Hannover Economic Papers (HEP) dp-676, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Wenger, Kai & Leschinski, Christian, 2018. "Fixed-Bandwidth CUSUM Tests Under Long Memory," Hannover Economic Papers (HEP) dp-647, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Iacone Fabrizio & Leybourne Stephen J. & Robert Taylor A.M., 2017. "Testing for a Change in Mean under Fractional Integration," Journal of Time Series Econometrics, De Gruyter, vol. 9(1), pages 1-8, January.
    7. Kai Wenger & Christian Leschinski & Philipp Sibbertsen, 2019. "Change-in-mean tests in long-memory time series: a review of recent developments," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(2), pages 237-256, June.
    8. Wingert, Simon & Mboya, Mwasi Paza & Sibbertsen, Philipp, 2020. "Distinguishing between breaks in the mean and breaks in persistence under long memory," Economics Letters, Elsevier, vol. 193(C).
    9. Daiqing Xi & Tianxiao Pang, 2021. "Estimating multiple breaks in mean sequentially with fractionally integrated errors," Statistical Papers, Springer, vol. 62(1), pages 451-494, February.
    10. Dooruj Rambaccussing & Murat Mazibas, 2020. "True versus Spurious Long Memory in Cryptocurrencies," JRFM, MDPI, vol. 13(9), pages 1-11, August.

  11. Iacone, Fabrizio & Leybourne, Stephen J. & Taylor, A.M. Robert, 2013. "ON THE BEHAVIOR OF FIXED-b TREND BREAK TESTS UNDER FRACTIONAL INTEGRATION," Econometric Theory, Cambridge University Press, vol. 29(2), pages 393-418, April.
    See citations under working paper version above.
  12. Iacone, Fabrizio & Leybourne, Stephen J. & Robert Taylor, A.M., 2013. "Testing for a break in trend when the order of integration is unknown," Journal of Econometrics, Elsevier, vol. 176(1), pages 30-45.

    Cited by:

    1. Seong Yeon Chang & Pierre Perron, 2016. "Inference on a Structural Break in Trend with Fractionally Integrated Errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 555-574, July.
    2. Jiawen Xu & Pierre Perron, 2013. "Robust testing of time trend and mean with unknown integration order errors Frequency (and Other) Contaminations," Boston University - Department of Economics - Working Papers Series 2013-006, Boston University - Department of Economics.
    3. Juan J. Dolado & Heiko Rachinger & Carlos Velasco, 2022. "LM Tests for Joint Breaks in the Dynamics and Level of a Long-Memory Time Series," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 629-650, April.
    4. Wenger, Kai & Leschinski, Christian & Sibbertsen, Philipp, 2017. "A Simple Test on Structural Change in Long-Memory Time Series," Hannover Economic Papers (HEP) dp-592, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    6. Seong Yeon Chang & Pierre Perron, 2017. "Fractional Unit Root Tests Allowing for a Structural Change in Trend under Both the Null and Alternative Hypotheses," Econometrics, MDPI, vol. 5(1), pages 1-26, January.
    7. Iacone Fabrizio & Leybourne Stephen J. & Robert Taylor A.M., 2017. "Testing for a Change in Mean under Fractional Integration," Journal of Time Series Econometrics, De Gruyter, vol. 9(1), pages 1-8, January.
    8. Skrobotov, Anton, 2020. "Survey on structural breaks and unit root tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 96-141.
    9. Carina Gerstenberger, 2021. "Robust discrimination between long‐range dependence and a change in mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(1), pages 34-62, January.
    10. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    11. Lajos Horváth & Gregory Rice, 2014. "Extensions of some classical methods in change point analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(2), pages 219-255, June.

  13. Hualde Javier & Iacone Fabrizio, 2012. "First Stage Estimation of Fractional Cointegration," Journal of Time Series Econometrics, De Gruyter, vol. 4(1), pages 1-32, May.

    Cited by:

    1. Marcel Aloy & Gilles Truchis, 2016. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 83-104, June.
    2. Javier Hualde & Fabrizio Iacone, 2015. "Autocorrelation robust inference using the Daniell kernel with fixed bandwidth," Discussion Papers 15/14, Department of Economics, University of York.
    3. Marcel Aloy & Gilles de Truchis, 2013. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems," AMSE Working Papers 1353, Aix-Marseille School of Economics, France, revised 29 Oct 2013.
    4. Javier Hualde & Fabrizio Iacone, 2015. "Small-b and Fixed-b Asymptotics for Weighted Covariance Estimation in Fractional Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 528-540, July.

  14. Fabrizio Iacone & Steve Martin & Luigi Siciliani & Peter C. Smith, 2012. "Modelling the dynamics of a public health care system: evidence from time-series data," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 2955-2968, August.
    See citations under working paper version above.
  15. Fabrizio Iacone, 2010. "Local Whittle estimation of the memory parameter in presence of deterministic components," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(1), pages 37-49, January.

    Cited by:

    1. Laura Mayoral, 2005. "Further evidence on the statistical properties of real GNP," Economics Working Papers 955, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2006.
    2. Pierre Perron & Yohei Yamamoto, 2011. "Estimating and Testing Multiple Structural Changes in Linear Models Using Band Spectral Regressions," Boston University - Department of Economics - Working Papers Series WP2011-049, Boston University - Department of Economics.
    3. Adam McCloskey, 2012. "Estimation of the Long-Memory Stochastic Volatility Model Parameters that is Robust to Level Shifts and Deterministic Trends," Working Papers 2012-17, Brown University, Department of Economics.
    4. Becker, Janis & Leschinski, Christian & Sibbertsen, Philipp, 2019. "Robust Multivariate Local Whittle Estimation and Spurious Fractional Cointegration," Hannover Economic Papers (HEP) dp-660, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Mccloskey, Adam & Perron, Pierre, 2013. "Memory Parameter Estimation In The Presence Of Level Shifts And Deterministic Trends," Econometric Theory, Cambridge University Press, vol. 29(6), pages 1196-1237, December.
    6. Arteche, Josu & García-Enríquez, Javier, 2017. "Singular Spectrum Analysis for signal extraction in Stochastic Volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 85-98.
    7. Ata Assaf & Luis Alberiko Gil-Alana & Khaled Mokni, 2022. "True or spurious long memory in the cryptocurrency markets: evidence from a multivariate test and other Whittle estimation methods," Empirical Economics, Springer, vol. 63(3), pages 1543-1570, September.
    8. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    9. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," Working Paper 1458, Economics Department, Queen's University.
    10. Hou, Jie & Perron, Pierre, 2014. "Modified local Whittle estimator for long memory processes in the presence of low frequency (and other) contaminations," Journal of Econometrics, Elsevier, vol. 182(2), pages 309-328.
    11. Marie Busch & Philipp Sibbertsen, 2018. "An Overview of Modified Semiparametric Memory Estimation Methods," Econometrics, MDPI, vol. 6(1), pages 1-21, March.
    12. Aeneas Rooch & Ieva Zelo & Roland Fried, 2019. "Estimation methods for the LRD parameter under a change in the mean," Statistical Papers, Springer, vol. 60(1), pages 313-347, February.
    13. John Goddard & Enrico Onali, 2014. "Self-affinity in financial asset returns," Papers 1401.7170, arXiv.org.
    14. Ergemen, Yunus Emre & Rodríguez Caballero, Carlos Vladimir, 2017. "Estimation of a Dynamic Multilevel Factor Model with possible long-range dependence," DES - Working Papers. Statistics and Econometrics. WS 24614, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Iacone Fabrizio & Leybourne Stephen J. & Robert Taylor A.M., 2017. "Testing for a Change in Mean under Fractional Integration," Journal of Time Series Econometrics, De Gruyter, vol. 9(1), pages 1-8, January.
    16. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    17. Dalla, Violetta & Giraitis, Liudas & Robinson, Peter M., 2020. "Asymptotic theory for time series with changing mean and variance," Journal of Econometrics, Elsevier, vol. 219(2), pages 281-313.
    18. Becker, Janis & Hollstein, Fabian & Prokopczuk, Marcel & Sibbertsen, Philipp, 2019. "The Memory of Beta Factors," Hannover Economic Papers (HEP) dp-661, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    19. Matei Demetrescu & Mehdi Hosseinkouchack, 2022. "Autoregressive spectral estimates under ignored changes in the mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 329-340, March.
    20. Baek, Changryong & Fortuna, Natércia & Pipiras, Vladas, 2014. "Can Markov switching model generate long memory?," Economics Letters, Elsevier, vol. 124(1), pages 117-121.
    21. Wenger, Kai & Leschinski, Christian & Sibbertsen, Philipp, 2017. "The Memory of Volatility," Hannover Economic Papers (HEP) dp-601, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    22. Leschinski, Christian & Sibbertsen, Philipp, 2017. "Origins of Spurious Long Memory," Hannover Economic Papers (HEP) dp-595, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    23. Leschinski, Christian & Sibbertsen, Philipp, 2018. "The Periodogram of Spurious Long-Memory Processes," Hannover Economic Papers (HEP) dp-632, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  16. Fabrizio Iacone, 2009. "A Semiparametric Analysis of the Term Structure of the US Interest Rates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 475-490, August.

    Cited by:

    1. Dayong Zhang & Marco R. Barassi & Jijun Tan, 2015. "Residual-Based Tests for Fractional Cointegration: Testing the Term Structure of Interest Rates," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1118-1140, December.
    2. Dechert, Andreas, 2014. "Fraktionale Kointegrationsbeziehungen zwischen Euribor-Zinssätzen," W.E.P. - Würzburg Economic Papers 93, University of Würzburg, Department of Economics.
    3. Daniela Osterrieder, 2013. "Interest Rates with Long Memory: A Generalized Affine Term-Structure Model," CREATES Research Papers 2013-17, Department of Economics and Business Economics, Aarhus University.
    4. Katarzyna Lasak & Carlos Velasco, 2014. "Fractional Cointegration Rank Estimation," Tinbergen Institute Discussion Papers 14-021/III, Tinbergen Institute.
    5. Adam Golinski & Peter Spencer, 2012. "The Meiselman forward interest rate revision regression as an Affine Term Structure Model," Discussion Papers 12/27, Department of Economics, University of York.
    6. Kuriyama Nina, 2016. "Testing cointegration in quantile regressions with an application to the term structure of interest rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 107-121, April.
    7. Goliński, Adam & Spencer, Peter, 2017. "The advantages of using excess returns to model the term structure," Journal of Financial Economics, Elsevier, vol. 125(1), pages 163-181.
    8. Daniela Osterrieder & Peter C. Schotman, 2012. "The Volatility of Long-term Bond Returns: Persistent Interest Shocks and Time-varying Risk Premiums," CREATES Research Papers 2012-35, Department of Economics and Business Economics, Aarhus University.
    9. Dechert, Andreas, 2012. "Variance Ratio Testing for Fractional Cointegration in Presence of Trends and Trend Breaks," MPRA Paper 41044, University Library of Munich, Germany.

  17. Robinson, P.M. & Iacone, F., 2005. "Cointegration in fractional systems with deterministic trends," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 263-298.
    See citations under working paper version above.
  18. Favero, Carlo A. & Giavazzi, Francesco & Iacone, Fabrizio & Guido Tabellini, 2000. "Extracting information from asset prices: The methodology of EMU calculators," European Economic Review, Elsevier, vol. 44(9), pages 1607-1632, October.
    See citations under working paper version above.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 16 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (8) 2015-08-30 2015-09-26 2017-05-21 2018-03-19 2020-06-29 2021-06-14 2022-08-29 2024-06-24. Author is listed
  2. NEP-ETS: Econometric Time Series (8) 2015-08-30 2017-05-21 2018-03-19 2020-06-29 2021-06-14 2022-08-29 2024-06-24 2024-11-04. Author is listed
  3. NEP-FOR: Forecasting (6) 2015-09-26 2019-10-07 2020-10-19 2021-08-09 2021-10-04 2022-08-29. Author is listed
  4. NEP-EEC: European Economics (3) 1998-11-20 2007-07-27 2019-10-07
  5. NEP-HEA: Health Economics (3) 2007-07-27 2008-02-16 2021-10-04
  6. NEP-ORE: Operations Research (3) 2018-03-19 2020-10-19 2021-08-09
  7. NEP-GER: German Papers (1) 2015-08-30
  8. NEP-IFN: International Finance (1) 1998-11-20
  9. NEP-MAC: Macroeconomics (1) 2019-10-07

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