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Mohamed Boutahar

Personal Details

First Name:Mohamed
Middle Name:
Last Name:Boutahar
Suffix:
RePEc Short-ID:pmo828
[This author has chosen not to make the email address public]

Affiliation

Faculté des sciences - Aix Marseille Université

http://sciences.univ-amu.fr/
France, Marseille

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ibrahim Ahamada & Mohamed Boutahar, 2012. "Power of the KPSS test against shift in variance: a further investigation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00678525, HAL.
  2. Khalfaoui, R & Boutahar, M, 2012. "Portfolio risk evaluation: An approach based on dynamic conditional correlations models and wavelet multiresolution analysis," MPRA Paper 41624, University Library of Munich, Germany.
  3. Mohamed Boutahar, 2011. "Testing for change in mean of heteroskedastic time series," Papers 1102.5431, arXiv.org.
  4. Khalfaoui Rabeh, K & Boutahar Mohamed, B, 2011. "A time-scale analysis of systematic risk: wavelet-based approach," MPRA Paper 31938, University Library of Munich, Germany.
  5. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Peguin-Feissolle, 2011. "Purchasing power parity and the long memory properties of real exchange rates: does one size fit all?," Working Papers halshs-00559170, HAL.
  6. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Peguin-Feissolle, 2011. "Long-run relationships between international stock prices: further evidence from fractional cointegration tests," Working Papers halshs-00567472, HAL.
  7. Mohamed Boutahar & Rabeh Khalfaoui2, 2011. "Estimation of the long memory parameter in non stationary models: A Simulation Study," Working Papers halshs-00595057, HAL.
  8. Ibrahim Ahamada & Mohamed Boutahar, 2010. "The Power of some Standard tests of stationarity against changes in the unconditional variance," Documents de travail du Centre d'Economie de la Sorbonne 10028, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  9. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Peguin-Feissolle, 2010. "Fractional integration and cointegration in stock prices and exchange rates," Working Papers halshs-00536140, HAL.
  10. Mohamed Boutahar & Imene Mootamri & Anne Peguin-Feissolle, 2008. "A fractionally integrated exponential STAR model applied to the US real effective exchange rate," Working Papers halshs-00340831, HAL.
  11. Mohamed Boutahar & Gilles Dufrénot & Anne Peguin-Feissolle, 2008. "A SIMPLE FRACTIONALLY INTEGRATED MODEL WITH A TIME-VARYING LONG MEMORY PARAMETER Dt - [Document de travail n°2008 - 10]," Working Papers halshs-00275254, HAL.
  12. Essahbi Essaadi & Mohamed Boutahar, 2008. "A Measure of Variability in Comovement for Economic Variables : a Time-Varying Coherence Function Approach," Post-Print halshs-00550460, HAL.
  13. Mustapha Belkhouja & Imene Mootamri & Mohamed Boutahar, 2008. "Analysing CPI inflation by the fractionally integrated ARFIMA-STVGARCH model," Working Papers halshs-00331986, HAL.
  14. Mohamed Boutahar & Gilles Dufrénot & Anne Peguin-Feissolle, 2008. "A simple fractionally integrated model with a time-varying long memory parameter dt," Post-Print halshs-00390136, HAL.
  15. Mohamed Boutahar & Imene Mootamri & Anne Peguin-Feissolle, 2007. "An exponential FISTAR model applied to the US real effective exchange rate," Working Papers halshs-00353836, HAL.
  16. Mohamed Boutahar & Mustapha Belkhouja, 2007. "Le Changement Structurel Dans Un Environnement Mémoire Longue," Working Papers halshs-00352610, HAL.
  17. Mohamed Boutahar & Jamel Jouini, 2007. "A Methodology For Detecting Breaks In The Mean And Covariance Structure Of Time Series," Working Papers halshs-00354249, HAL.
  18. Mohamed Boutahar, 2006. "Limiting distribution of the least squaresestimates in polynomial regression with longmemory noises," Working Papers halshs-00409571, HAL.
  19. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272867, HAL.
  20. Ibrahim Ahamada & Mohamed Boutahar, 2002. "Test for Covariance Stationarity and White Noise with an Application to euro/us dollar exchange rate," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272869, HAL.
  21. Boutahar, M. & Deneau, C., 1993. "Limiting Distribution of Least Squares Estimates in Stable Multivariate Autoregressive Models Excited by Deterministic Input Signals," G.R.E.Q.A.M. 93a03, Universite Aix-Marseille III.
  22. Boutahar, M. & Deneau, C., 1992. "Almost Sure Convergence of Least Squares Estimates for Regular Multivariate ARX Systems," G.R.E.Q.A.M. 92a13, Universite Aix-Marseille III.

Articles

  1. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne P駵in-Feissolle, 2013. "Long-run relationships between international stock prices: further evidence from fractional cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 45(7), pages 817-828, March.
  2. Mohamed Boutahar & Badih Ghattas & Denys Pommeret, 2013. "Nonparametric comparison of several transformations of distribution functions," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(3), pages 619-633, September.
  3. Ahamada Ibrahim & Boutahar Mohamed, 2012. "Power of the KPSS test against shift in variance: a further investigation," Economics Bulletin, AccessEcon, vol. 32(1), pages 854-865.
  4. Boubaker Heni & Boutahar Mohamed, 2011. "A wavelet-based approach for modelling exchange rates," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 201-220, June.
  5. Aloy, Marcel & Boutahar, Mohamed & Gente, Karine & Péguin-Feissolle, Anne, 2011. "Purchasing power parity and the long memory properties of real exchange rates: Does one size fit all?," Economic Modelling, Elsevier, vol. 28(3), pages 1279-1290, May.
  6. Jamel JOUINI & Mohamed Boutahar, 2010. "The finite-sample properties of bootstrap tests in multiple structural change models," Economics Bulletin, AccessEcon, vol. 30(1), pages 55-66.
  7. Essahbi Essaadi & Mohamed Boutahar, 2010. "A Measure of Variability in Comovement for Economic Variables: a Time-Varying Coherence Function Approach," Economics Bulletin, AccessEcon, vol. 30(2), pages 1054-1070.
  8. Adnen Ben Nasr & Mohamed Boutahar & Abdelwahed Trabelsi, 2010. "Fractionally integrated time varying GARCH model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(3), pages 399-430, August.
  9. Mohamed Boutahar, 2010. "Behaviour of skewness, kurtosis and normality tests in long memory data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(2), pages 193-215, June.
  10. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Péguin-feissolle, 2010. "Fractional integration and cointegration in stock prices and exchange rates," Economics Bulletin, AccessEcon, vol. 30(1), pages 115-129.
  11. Mustapha Belkhouja & Mohamed Boutahar, 2009. "Structural Change and Long Memory in the Dynamic of U.S. Inflation Process," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 195-216, September.
  12. Mohamed Boutahar & David Gbaguidi, 2009. "Which Econometric Specification to Characterize the U.S. Inflation Rate Process?," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 145-172, September.
  13. Mohamed Boutahar, 2009. "Comparison of non-parametric and semi-parametric tests in detecting long memory," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(9), pages 945-972.
  14. Leïla Nouira & Mohamed Boutahar & Vêlayoudom Marimoutou, 2009. "The effect of tapering on the semiparametric estimators for nonstationary long memory processes," Statistical Papers, Springer, vol. 50(2), pages 225-248, March.
  15. Boutahar, Mohamed & Mootamri, Imène & Péguin-Feissolle, Anne, 2009. "A fractionally integrated exponential STAR model applied to the US real effective exchange rate," Economic Modelling, Elsevier, vol. 26(2), pages 335-341, March.
  16. Mohamed Boutahar & Gilles Dufrénot & Anne Péguin-Feissolle, 2008. "A Simple Fractionally Integrated Model with a Time-varying Long Memory Parameter d t," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 225-241, April.
  17. Ahdi Ajmi & Adnen Ben Nasr & Mohamed Boutahar, 2008. "Seasonal Nonlinear Long Memory Model for the US Inflation Rates," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 243-254, April.
  18. Mohamed Boutahar, 2008. "Identification of Persistent Cycles in Non‐Gaussian Long‐Memory Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(4), pages 653-672, July.
  19. Mohamed Boutahar & Velayoudom Marimoutou & Leila Nouira, 2007. "Estimation Methods of the Long Memory Parameter: Monte Carlo Analysis and Application," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(3), pages 261-301.
  20. Jamel JOUINI & Mohamed BOUTAHAR, 2007. "wrong estimation of the true number of shifts in structural break models: Theoretical and numerical evidence," Economics Bulletin, AccessEcon, vol. 3(3), pages 1-10.
  21. Jamel JOUINI & Mohamed BOUTAHAR, 2007. "Spuriousness of information criteria when selecting the number of breaks in stationary AR(p) process," Economics Bulletin, AccessEcon, vol. 3(38), pages 1-11.
  22. Mohamed Boutahar, 2007. "Optimal prediction with nonstationary ARFIMA model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 95-111.
  23. Jouini, Jamel & Boutahar, Mohamed, 2005. "Evidence on structural changes in U.S. time series," Economic Modelling, Elsevier, vol. 22(3), pages 391-422, May.
  24. Mohamed Safouane Ben Aissa & Mohamed Boutahar & Jamel Jouini, 2004. "Bai and Perron's and spectral density methods for structural change detection in the US inflation process," Applied Economics Letters, Taylor & Francis Journals, vol. 11(2), pages 109-115.
  25. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting multiple breaks in time series covariance structure: a non-parametric approach based on the evolutionary spectral density," Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1095-1101.
  26. J. Jouini & M. Boutahar, 2003. "Structural breaks in the U.S. inflation process: a further investigation," Applied Economics Letters, Taylor & Francis Journals, vol. 10(15), pages 985-988.
  27. Ahamada, Ibrahim & Boutahar, Mohamed, 2003. "Erratum to "Tests for covariance stationarity and white noise, with an application to Euro/US dollar exchange rate: An approach based on the evolutionary spectral density" [Economics Letters," Economics Letters, Elsevier, vol. 78(2), pages 293-293, February.
  28. Mohamed Boutahar, 2002. "General Autoregressive Models with Long-Memory Noise," Statistical Inference for Stochastic Processes, Springer, vol. 5(3), pages 321-333, October.
  29. Attala, Mohamed E. & Saleh, Mohamed B. & Abu Al seod, Ahmed K. & Soliman, Moataz M., 2001. "Current components analysis of MIS/IL solar cells for different fabrication parameters," Renewable Energy, Elsevier, vol. 23(3), pages 375-381.
  30. Mohamed Boutahar & Claude Deniau, 1996. "Least squares estimator for regression models with some deterministic time varying parameters," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 43(1), pages 57-67, December.
  31. Mohamed Boutahar & Claude Deniau, 1995. "A proof of asymptotic normality for some VARX models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 42(1), pages 331-339, December.

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. Khalfaoui, R & Boutahar, M, 2012. "Portfolio risk evaluation: An approach based on dynamic conditional correlations models and wavelet multiresolution analysis," MPRA Paper 41624, University Library of Munich, Germany.

    Cited by:

    1. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2020. "The effects of investor emotions sentiments on crude oil returns: A time and frequency dynamics analysis," International Economics, Elsevier, vol. 162(C), pages 110-124.
    2. Teply, Petr & Kvapilikova, Ivana, 2017. "Measuring systemic risk of the US banking sector in time-frequency domain," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 461-472.
    3. Maghyereh, Aktham I. & Awartani, Basel & Abdoh, Hussein, 2019. "The co-movement between oil and clean energy stocks: A wavelet-based analysis of horizon associations," Energy, Elsevier, vol. 169(C), pages 895-913.
    4. Meng, Xiangcai & Huang, Chia-Hsing, 2019. "The time-frequency co-movement of Asian effective exchange rates: A wavelet approach with daily data," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 131-148.
    5. Bianconi, Marcelo & Yoshino, Joe A., 2014. "Risk factors and value at risk in publicly traded companies of the nonrenewable energy sector," Energy Economics, Elsevier, vol. 45(C), pages 19-32.
    6. Maghyereh, Aktham I. & Abdoh, Hussein & Awartani, Basel, 2019. "Connectedness and hedging between gold and Islamic securities: A new evidence from time-frequency domain approaches," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 13-28.

  2. Khalfaoui Rabeh, K & Boutahar Mohamed, B, 2011. "A time-scale analysis of systematic risk: wavelet-based approach," MPRA Paper 31938, University Library of Munich, Germany.

    Cited by:

    1. Tiwari, Aviral Kumar & Khalfaoui, Rabeh & Solarin, Sakiru Adebola & Shahbaz, Muhammad, 2018. "Analyzing the time-frequency lead–lag relationship between oil and agricultural commodities," Energy Economics, Elsevier, vol. 76(C), pages 470-494.
    2. Antonios K. Alexandridis & Mohammad S. Hasan, 2020. "Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 518-546, October.
    3. Kamaruzdin, Thaqif & Masih, Mansur, 2014. "An inquiry into the stability of Islamic Financial Services Institutions in terms of volatility, risk and correlations: A case study of Malaysia employing M-GARCH t-DCC and MODWT Wavelet approaches," MPRA Paper 60248, University Library of Munich, Germany.
    4. Alaabed, Alaa & Masih, Mansur, 2014. "Size and Volatility: new evidence from an application of wavelet approach to the emerging Islamic mutual funds’ industry," MPRA Paper 62991, University Library of Munich, Germany.
    5. Izani Ibrahim & Kamilah Kamaludin & Sheela Sundarasen, 2020. "COVID-19, Government Response, and Market Volatility: Evidence from the Asia-Pacific Developed and Developing Markets," Economies, MDPI, vol. 8(4), pages 1-22, November.

  3. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Peguin-Feissolle, 2011. "Purchasing power parity and the long memory properties of real exchange rates: does one size fit all?," Working Papers halshs-00559170, HAL.

    Cited by:

    1. Oladunjoye Opeyemi Nathaniel, 2019. "Validity of Purchasing Power Parity (PPP) Hypothesis in the Ecowas (1980–2017)," Emerging Economy Studies, International Management Institute, vol. 5(2), pages 141-156, November.
    2. Zied Ftiti & Slim Chaouachi, 2018. "What Can We Learn About the Real Exchange Rate Behavior in the Case of a Peripheral Country?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(3), pages 681-707, September.
    3. Abderrazak Ben Maatoug & Rim Lamouchi & Russell Davidson, 2018. "Modelling Foreign Exchange Realized Volatility Using High Frequency Data: Long Memory versus Structural Breaks," Post-Print hal-01982032, HAL.
    4. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2013. "Long Memory and Fractional Integration in High Frequency Data on the US Dollar / British Pound Spot Exchange Rate," Discussion Papers of DIW Berlin 1294, DIW Berlin, German Institute for Economic Research.
    5. Mensi, Walid & Hammoudeh, Shawkat & Yoon, Seong-Min, 2014. "Structural breaks and long memory in modeling and forecasting volatility of foreign exchange markets of oil exporters: The importance of scheduled and unscheduled news announcements," International Review of Economics & Finance, Elsevier, vol. 30(C), pages 101-119.
    6. José M. Belbute & Alfredo Marvão Pereira, 2015. "Does Final Energy Demand in Portugal Exhibit Long Memory? A Fractional Integration Analysis," Working Papers 163, Department of Economics, College of William and Mary.
    7. Long Hai Vo & Duc Hong Vo, 2020. "Modelling Australian Dollar Volatility at Multiple Horizons with High-Frequency Data," Risks, MDPI, vol. 8(3), pages 1-16, August.

  4. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Peguin-Feissolle, 2011. "Long-run relationships between international stock prices: further evidence from fractional cointegration tests," Working Papers halshs-00567472, HAL.

    Cited by:

    1. Narayan, Seema & Ur Rehman, Mobeen, 2017. "Diversification opportunities between emerging and frontier Asian (EFA) and developed stock markets," Finance Research Letters, Elsevier, vol. 23(C), pages 223-232.

  5. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Peguin-Feissolle, 2010. "Fractional integration and cointegration in stock prices and exchange rates," Working Papers halshs-00536140, HAL.

    Cited by:

    1. Kenneth D. West, 2012. "Econometric Analysis of Present Value Models When the Discount Factor Is near One," NBER Working Papers 18247, National Bureau of Economic Research, Inc.

  6. Mohamed Boutahar & Imene Mootamri & Anne Peguin-Feissolle, 2008. "A fractionally integrated exponential STAR model applied to the US real effective exchange rate," Working Papers halshs-00340831, HAL.

    Cited by:

    1. Gil-Alana, Luis A. & Mudida, Robert, 2017. "CPI and inflation in Kenya. Structural breaks, non-linearities and dependence," International Economics, Elsevier, vol. 150(C), pages 72-79.

  7. Mohamed Boutahar & Gilles Dufrénot & Anne Peguin-Feissolle, 2008. "A SIMPLE FRACTIONALLY INTEGRATED MODEL WITH A TIME-VARYING LONG MEMORY PARAMETER Dt - [Document de travail n°2008 - 10]," Working Papers halshs-00275254, HAL.

    Cited by:

    1. Luisa Bisaglia & Matteo Grigoletto, 2018. "A new time-varying model for forecasting long-memory series," Papers 1812.07295, arXiv.org.
    2. Boubaker Heni & Canarella Giorgio & Miller Stephen M. & Gupta Rangan, 2017. "Time-varying persistence of inflation: evidence from a wavelet-based approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
    3. Marcel Aloy & Gilles Dufrenot & Charles Lai-Tong & Anne Peguin-Feissolle, 2012. "A Smooth Transition Long-Memory Model," Working Papers halshs-00793680, HAL.
    4. Heni Boubaker & Nadia Sghaier, 2014. "Wavelet based Estimation of Time- Varying Long Memory Model with Nonlinear Fractional Integration Parameter," Working Papers 2014-284, Department of Research, Ipag Business School.
    5. Zhao, Zifeng & Zhang, Zhengjun & Chen, Rong, 2018. "Modeling maxima with autoregressive conditional Fréchet model," Journal of Econometrics, Elsevier, vol. 207(2), pages 325-351.
    6. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.

  8. Essahbi Essaadi & Mohamed Boutahar, 2008. "A Measure of Variability in Comovement for Economic Variables : a Time-Varying Coherence Function Approach," Post-Print halshs-00550460, HAL.

    Cited by:

    1. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2014. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V.S. Wavelet Analysis," Working Papers 2014-577, Department of Research, Ipag Business School.
    2. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2015. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis Versus Wavelet Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 575-611, December.
    3. Anna Creti & Zied Ftiti & Khaled Guesmi, 2014. "Oil Price and Financial Markets: Multivariate Dynamic Frequency Analysis," Post-Print hal-01410627, HAL.
    4. Essahbi Essaadi, 2017. "The feasibility of currency union in Gulf Cooperation Council countries: A business cycle synchronisation view," The World Economy, Wiley Blackwell, vol. 40(10), pages 2153-2171, October.
    5. Ftiti, Zied, 2010. "The macroeconomic performance of the inflation targeting policy: An approach based on the evolutionary co-spectral analysis (extension for the case of a multivariate process)," Economic Modelling, Elsevier, vol. 27(1), pages 468-476, January.
    6. Linyue Li & Nan Zhang & Thomas D. Willett, 2012. "Measuring macroeconomic and financial market interdependence: a critical survey," Journal of Financial Economic Policy, Emerald Group Publishing, vol. 4(2), pages 128-145, May.
    7. Jean-Pierre Allegret & Essahbi Essaadi, 2011. "Business cycles synchronization in East Asian economy: evidences from time-varying coherence study," Post-Print halshs-00566116, HAL.

  9. Mohamed Boutahar & Gilles Dufrénot & Anne Peguin-Feissolle, 2008. "A simple fractionally integrated model with a time-varying long memory parameter dt," Post-Print halshs-00390136, HAL.

    Cited by:

    1. Luisa Bisaglia & Matteo Grigoletto, 2018. "A new time-varying model for forecasting long-memory series," Papers 1812.07295, arXiv.org.
    2. Souhir, Ben Amor & Heni, Boubaker & Lotfi, Belkacem, 2019. "Price risk and hedging strategies in Nord Pool electricity market evidence with sector indexes," Energy Economics, Elsevier, vol. 80(C), pages 635-655.
    3. Boubaker Heni & Canarella Giorgio & Miller Stephen M. & Gupta Rangan, 2017. "Time-varying persistence of inflation: evidence from a wavelet-based approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
    4. Marcel Aloy & Gilles Dufrenot & Charles Lai-Tong & Anne Peguin-Feissolle, 2012. "A Smooth Transition Long-Memory Model," Working Papers halshs-00793680, HAL.
    5. Zhao, Zifeng & Zhang, Zhengjun & Chen, Rong, 2018. "Modeling maxima with autoregressive conditional Fréchet model," Journal of Econometrics, Elsevier, vol. 207(2), pages 325-351.

  10. Mohamed Boutahar & Imene Mootamri & Anne Peguin-Feissolle, 2007. "An exponential FISTAR model applied to the US real effective exchange rate," Working Papers halshs-00353836, HAL.

    Cited by:

    1. Mohamed Boutahar & Gilles Dufrénot & Anne Péguin-Feissolle, 2008. "A Simple Fractionally Integrated Model with a Time-varying Long Memory Parameter d t," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 225-241, April.

  11. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272867, HAL.

    Cited by:

    1. Ibrahim Ahamada & Mohamed Boutahar, 2010. "The power of some standard tests of stationarity against changes in the unconditional variance," Post-Print halshs-00476024, HAL.
    2. Russell, Bill, 2011. "Non-stationary inflation and panel estimates of United States short and long-run Phillips curves," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 406-419, September.
    3. An, Pengli & Li, Huajiao & Zhou, Jinsheng & Li, Yang & Sun, Bowen & Guo, Sui & Qi, Yajie, 2020. "Volatility spillover of energy stocks in different periods and clusters based on structural break recognition and network method," Energy, Elsevier, vol. 191(C).

  12. Ibrahim Ahamada & Mohamed Boutahar, 2002. "Test for Covariance Stationarity and White Noise with an Application to euro/us dollar exchange rate," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272869, HAL.

    Cited by:

    1. Jamel Jouini, 2009. "Analysis of structural break models based on the evolutionary spectrum: Monte Carlo study and application," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(1), pages 91-110.
    2. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2014. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V.S. Wavelet Analysis," Working Papers 2014-577, Department of Research, Ipag Business School.
    3. Zied Ftiti & Walid Hichri, 2014. "The Price Stability Under Inflation Targeting Regime : An Analysis With a New Intermediate Approach," Working Papers 2014-99, Department of Research, Ipag Business School.
    4. Zied Ftiti & Aviral Tiwari & Ibrahim Fatnassi, 2014. "Oil price and macroeconomy in India – An evolutionary cospectral coherence approach," Working Papers 2014-68, Department of Research, Ipag Business School.

Articles

  1. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne P駵in-Feissolle, 2013. "Long-run relationships between international stock prices: further evidence from fractional cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 45(7), pages 817-828, March.
    See citations under working paper version above.
  2. Boubaker Heni & Boutahar Mohamed, 2011. "A wavelet-based approach for modelling exchange rates," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 201-220, June.

    Cited by:

    1. R. G. Alcoforado & W. Bernardino & A. D. Eg'idio dos Reis & J. A. C. Santos, 2021. "Modelling risk for commodities in Brazil: An application to live cattle spot and futures prices," Papers 2107.07556, arXiv.org.
    2. Souhir, Ben Amor & Heni, Boubaker & Lotfi, Belkacem, 2019. "Price risk and hedging strategies in Nord Pool electricity market evidence with sector indexes," Energy Economics, Elsevier, vol. 80(C), pages 635-655.
    3. Heni Boubaker & Nadia Sghaier, 2014. "Semiparametric Generalized Long Memory Modelling of GCC Stock Market Returns: A Wavelet Approach," Working Papers 2014-66, Department of Research, Ipag Business School.
    4. Heni Boubaker & Anne Péguin-Feissolle, 2013. "Estimating the Long-Memory Parameter in Nonstationary Processes Using Wavelets," Computational Economics, Springer;Society for Computational Economics, vol. 42(3), pages 291-306, October.
    5. He, Kaijian & Chen, Yanhui & Tso, Geoffrey K.F., 2018. "Forecasting exchange rate using Variational Mode Decomposition and entropy theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 15-25.
    6. Prince Osei Mensah & Anokye M. Adam, 2020. "Copula-Based Assessment of Co-Movement and Tail Dependence Structure Among Major Trading Foreign Currencies in Ghana," Risks, MDPI, vol. 8(2), pages 1-20, June.
    7. Boubaker Heni & Canarella Giorgio & Miller Stephen M. & Gupta Rangan, 2017. "Time-varying persistence of inflation: evidence from a wavelet-based approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
    8. Khalfaoui, R. & Boutahar, M. & Boubaker, H., 2015. "Analyzing volatility spillovers and hedging between oil and stock markets: Evidence from wavelet analysis," Energy Economics, Elsevier, vol. 49(C), pages 540-549.
    9. Jozef Baruník & Lucie Kraicová, 2014. "Estimation of Long Memory in Volatility Using Wavelets," Working Papers IES 2014/33, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2014.
    10. Boubaker, Heni & Raza, Syed Ali, 2017. "A wavelet analysis of mean and volatility spillovers between oil and BRICS stock markets," Energy Economics, Elsevier, vol. 64(C), pages 105-117.
    11. Heni Boubaker, 2015. "Wavelet Estimation of Gegenbauer Processes: Simulation and Empirical Application," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 551-574, December.
    12. Albulescu, Claudiu Tiberiu & Aubin, Christian & Goyeau, Daniel & Tiwari, Aviral Kumar, 2018. "Extreme co-movements and dependencies among major international exchange rates: A copula approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 56-69.
    13. Khalfaoui Rabeh, K & Boutahar Mohamed, B, 2011. "A time-scale analysis of systematic risk: wavelet-based approach," MPRA Paper 31938, University Library of Munich, Germany.
    14. Boubaker, Heni & Sghaier, Nadia, 2015. "Semiparametric generalized long-memory modeling of some mena stock market returns: A wavelet approach," Economic Modelling, Elsevier, vol. 50(C), pages 254-265.

  3. Aloy, Marcel & Boutahar, Mohamed & Gente, Karine & Péguin-Feissolle, Anne, 2011. "Purchasing power parity and the long memory properties of real exchange rates: Does one size fit all?," Economic Modelling, Elsevier, vol. 28(3), pages 1279-1290, May.
    See citations under working paper version above.
  4. Essahbi Essaadi & Mohamed Boutahar, 2010. "A Measure of Variability in Comovement for Economic Variables: a Time-Varying Coherence Function Approach," Economics Bulletin, AccessEcon, vol. 30(2), pages 1054-1070.
    See citations under working paper version above.
  5. Adnen Ben Nasr & Mohamed Boutahar & Abdelwahed Trabelsi, 2010. "Fractionally integrated time varying GARCH model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(3), pages 399-430, August.

    Cited by:

    1. Adnen Ben Nasr & Ahdi N. Ajmi & Rangan Gupta, 2013. "Modeling the Volatility of the Dow Jones Islamic Market World Index Using a Fractionally Integrated Time Varying GARCH (FITVGARCH) Model," Working Papers 201357, University of Pretoria, Department of Economics.
    2. Nasr, Adnen Ben & Lux, Thomas & Ajm, Ahdi Noomen & Gupta, Rangan, 2014. "Forecasting the volatility of the dow jones islamic stock market index: Long memory vs. regime switching," Economics Working Papers 2014-07, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Ruipeng Liu & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2017. "Do Bivariate Multifractal Models Improve Volatility Forecasting in Financial Time Series? An Application to Foreign Exchange and Stock Markets," Working Papers 201728, University of Pretoria, Department of Economics.
    4. Walther, Thomas & Klein, Tony & Thu, Hien Pham & Piontek, Krzysztof, 2017. "True or spurious long memory in European non-EMU currencies," Research in International Business and Finance, Elsevier, vol. 40(C), pages 217-230.
    5. Majdoub, Jihed & Mansour, Walid, 2014. "Islamic equity market integration and volatility spillover between emerging and US stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 452-470.

  6. Mohamed Boutahar, 2010. "Behaviour of skewness, kurtosis and normality tests in long memory data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(2), pages 193-215, June.

    Cited by:

    1. Zacharias Psaradakis & Marián Vávra, 2015. "A Distance Test of Normality for a Wide Class of Stationary Processes," Birkbeck Working Papers in Economics and Finance 1513, Birkbeck, Department of Economics, Mathematics & Statistics.

  7. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Péguin-feissolle, 2010. "Fractional integration and cointegration in stock prices and exchange rates," Economics Bulletin, AccessEcon, vol. 30(1), pages 115-129.
    See citations under working paper version above.
  8. Mustapha Belkhouja & Mohamed Boutahar, 2009. "Structural Change and Long Memory in the Dynamic of U.S. Inflation Process," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 195-216, September.

    Cited by:

    1. Belkhouja, Mustapha & Mootamri, Imene, 2016. "Long memory and structural change in the G7 inflation dynamics," Economic Modelling, Elsevier, vol. 54(C), pages 450-462.

  9. Mohamed Boutahar & David Gbaguidi, 2009. "Which Econometric Specification to Characterize the U.S. Inflation Rate Process?," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 145-172, September.

    Cited by:

    1. Gbaguidi DAVID, 2011. "Expectations Impact On The Effectiveness Of The Inflation Real Activity Trade Off," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 141-181.
    2. Gbaguidi, David Sedo, 2011. "Regime Switching in a New Keynesian Phillips Curve with Non-zero Steady-state Inflation Rate," MPRA Paper 35481, University Library of Munich, Germany.
    3. Gbaguidi, David, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119, mars.

  10. Leïla Nouira & Mohamed Boutahar & Vêlayoudom Marimoutou, 2009. "The effect of tapering on the semiparametric estimators for nonstationary long memory processes," Statistical Papers, Springer, vol. 50(2), pages 225-248, March.

    Cited by:

    1. Erhard Reschenhofer & Werner Ploberger & Georg Lehecka, 2014. "Detecting fuzzy periodic patterns in futures spreads," Statistical Papers, Springer, vol. 55(2), pages 487-496, May.
    2. Guillermo Ferreira & Jorge Mateu & Jose A. Vilar & Joel Muñoz, 2021. "Bootstrapping regression models with locally stationary disturbances," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 341-363, June.

  11. Boutahar, Mohamed & Mootamri, Imène & Péguin-Feissolle, Anne, 2009. "A fractionally integrated exponential STAR model applied to the US real effective exchange rate," Economic Modelling, Elsevier, vol. 26(2), pages 335-341, March.
    See citations under working paper version above.
  12. Mohamed Boutahar & Gilles Dufrénot & Anne Péguin-Feissolle, 2008. "A Simple Fractionally Integrated Model with a Time-varying Long Memory Parameter d t," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 225-241, April.
    See citations under working paper version above.
  13. Ahdi Ajmi & Adnen Ben Nasr & Mohamed Boutahar, 2008. "Seasonal Nonlinear Long Memory Model for the US Inflation Rates," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 243-254, April.

    Cited by:

    1. Mohamed Boutahar, 2010. "Behaviour of skewness, kurtosis and normality tests in long memory data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(2), pages 193-215, June.
    2. Adnen Ben Nasr & Mehmet Balcilar & Ahdi N. Ajmi & Goodness C. Aye & Rangan Gupta & Reneé van Eyden, 2014. "Causality between Inflation and Inflation Uncertainty in South Africa: Evidence from a Markov-Switching Vector Autoregressive Model," Working Papers 201453, University of Pretoria, Department of Economics.
    3. Changli He & Jian Kang & Timo Teräsvirta & Shuhua Zhang, 2018. "The Shifting Seasonal Mean Autoregressive Model and Seasonality in the Central England Monthly Temperature Series, 1772-2016," CREATES Research Papers 2018-15, Department of Economics and Business Economics, Aarhus University.
    4. Adnen Ben Nasr & Mohamed Boutahar & Abdelwahed Trabelsi, 2010. "Fractionally integrated time varying GARCH model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(3), pages 399-430, August.
    5. Ghassen El Montasser & Ahdi Noomen Ajmi, 2012. "The fractional integrated bi- parameter smooth transition autoregressive model," Economics Bulletin, AccessEcon, vol. 32(1), pages 755-765.
    6. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.

  14. Mohamed Boutahar, 2008. "Identification of Persistent Cycles in Non‐Gaussian Long‐Memory Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(4), pages 653-672, July.

    Cited by:

    1. McElroy, Tucker & Politis, Dimitris, 2013. "Spectral Density and Spectral Distribution Inference for Long Memory Time Series via Fixed-b Asymptotics," University of California at San Diego, Economics Working Paper Series qt6164c110, Department of Economics, UC San Diego.

  15. Mohamed Boutahar & Velayoudom Marimoutou & Leila Nouira, 2007. "Estimation Methods of the Long Memory Parameter: Monte Carlo Analysis and Application," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(3), pages 261-301.

    Cited by:

    1. Imene Mootamri & Mohamed Boutahar & Anne Peguin-Feissolle, 2008. "A fractionally integrated exponential STAR model applied to the US real effective exchange rate," Post-Print halshs-00390134, HAL.
    2. Di Sanzo, Silvestro, 2018. "A Markov switching long memory model of crude oil price return volatility," Energy Economics, Elsevier, vol. 74(C), pages 351-359.
    3. Mohamed Boutahar, 2010. "Behaviour of skewness, kurtosis and normality tests in long memory data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(2), pages 193-215, June.
    4. Leïla Nouira & Mohamed Boutahar & Vêlayoudom Marimoutou, 2009. "The effect of tapering on the semiparametric estimators for nonstationary long memory processes," Statistical Papers, Springer, vol. 50(2), pages 225-248, March.
    5. Heni Boubaker, 2016. "A Comparative Study of the Performance of Estimating Long-Memory Parameter Using Wavelet-Based Entropies," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 693-731, December.
    6. Yixun Xing & Wayne A. Woodward, 2021. "R-Squared-Bootstrapping for Gegenbauer-Type Long Memory," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 773-790, February.
    7. Fu, Hui & Chen, Wenting & He, Xin-Jiang, 2018. "On a class of estimation and test for long memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 906-920.
    8. Fu, Hui, 2012. "On a Class of Estimation and Test for Long Memory," MPRA Paper 47978, University Library of Munich, Germany.
    9. Marques, G.O.L.C., 2011. "Empirical aspects of the Whittle-based maximum likelihood method in jointly estimating seasonal and non-seasonal fractional integration parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(1), pages 8-17.
    10. Boryana Bogdanova & Ivan Ivanov, 2016. "A wavelet-based approach to the analysis and modelling of financial time series exhibiting strong long-range dependence: the case of Southeast Europe," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(4), pages 655-673, March.
    11. Thabo M. Mokoena & Rangan Gupta & Reneé Van Eyden, 2009. "Testing For Fractional Integration In Southern African Development Community Real Exchange Rates," South African Journal of Economics, Economic Society of South Africa, vol. 77(4), pages 531-537, December.

  16. Jamel JOUINI & Mohamed BOUTAHAR, 2007. "wrong estimation of the true number of shifts in structural break models: Theoretical and numerical evidence," Economics Bulletin, AccessEcon, vol. 3(3), pages 1-10.

    Cited by:

    1. Jamel JOUINI & Mohamed BOUTAHAR, 2007. "Spuriousness of information criteria when selecting the number of breaks in stationary AR(p) process," Economics Bulletin, AccessEcon, vol. 3(38), pages 1-11.
    2. Mohamed Boutahar & Jamel Jouini, 2007. "A Methodology For Detecting Breaks In The Mean And Covariance Structure Of Time Series," Working Papers halshs-00354249, HAL.

  17. Mohamed Boutahar, 2007. "Optimal prediction with nonstationary ARFIMA model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 95-111.

    Cited by:

    1. Florian Heinen & Philipp Sibbertsen & Robinson Kruse, 2009. "Forecasting long memory time series under a break in persistence," CREATES Research Papers 2009-53, Department of Economics and Business Economics, Aarhus University.
    2. Chai, Jian & Zhang, Zhong-Yu & Wang, Shou-Yang & Lai, Kin Keung & Liu, John, 2014. "Aviation fuel demand development in China," Energy Economics, Elsevier, vol. 46(C), pages 224-235.

  18. Jouini, Jamel & Boutahar, Mohamed, 2005. "Evidence on structural changes in U.S. time series," Economic Modelling, Elsevier, vol. 22(3), pages 391-422, May.

    Cited by:

    1. Jamel JOUINI & Karim BARHOUMI, 2008. "Revisiting the decline in the exchange rate pass-through: further evidence from developing countries," Economics Bulletin, AccessEcon, vol. 3(20), pages 1-10.
    2. Meng Xu & Avishai Ceder & Ziyou Gao & Wei Guan, 2010. "Mass transit systems of Beijing: governance evolution and analysis," Transportation, Springer, vol. 37(5), pages 709-729, September.
    3. Essahbi Essaadi & Jamel Jouini & Walih Khallouli, 2007. "The Asian Crisis Contagion: A Dynamic Correlation Approach Analysis," Working Papers 0725, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Jamel Jouini, 2009. "Analysis of structural break models based on the evolutionary spectrum: Monte Carlo study and application," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(1), pages 91-110.
    5. Alejandro D. Jacobo & Simón Sosvilla‐Rivero, 2021. "An empirical examination of purchasing power parity: Argentina 1810–2016," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2064-2073, April.
    6. Tianfeng Li & June Wei, 2015. "Multiple Structural Breaks and Inflation Persistence: Evidence from China," Asian Economic Journal, East Asian Economic Association, vol. 29(1), pages 1-20, March.
    7. Arouri Mohamed el hédi & Jamel Jouini, 2009. "Analysis of structural breaks in the stock market integration of mexico into world," Economics Bulletin, AccessEcon, vol. 29(2), pages 1380-1392.
    8. Jean-François Hoarau & Ibrahim Ahamada & Alain Nurbel, 2008. "Multiple structural regimes in real exchange rate misalignment: the case of Australian dollar," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272862, HAL.
    9. Christos Kollias & Paschalis Arvanitidis, 2018. "Phases of Imitation and Innovation in a North-South Endogenous Growth Model," Working Papers 1001, European Centre of Peace Science, Integration and Cooperation (CESPIC), Catholic University 'Our Lady of Good Counsel'.
    10. Jamel Jouini, 2010. "Bootstrap methods for single structural change tests: power versus corrected size and empirical illustration," Statistical Papers, Springer, vol. 51(1), pages 85-109, January.
    11. Jamel JOUINI & Mohamed BOUTAHAR, 2007. "Spuriousness of information criteria when selecting the number of breaks in stationary AR(p) process," Economics Bulletin, AccessEcon, vol. 3(38), pages 1-11.
    12. Mohamed Boutahar & Jamel Jouini, 2007. "A Methodology For Detecting Breaks In The Mean And Covariance Structure Of Time Series," Working Papers halshs-00354249, HAL.
    13. Jamel JOUINI & Mohamed BOUTAHAR, 2007. "wrong estimation of the true number of shifts in structural break models: Theoretical and numerical evidence," Economics Bulletin, AccessEcon, vol. 3(3), pages 1-10.

  19. Mohamed Safouane Ben Aissa & Mohamed Boutahar & Jamel Jouini, 2004. "Bai and Perron's and spectral density methods for structural change detection in the US inflation process," Applied Economics Letters, Taylor & Francis Journals, vol. 11(2), pages 109-115.

    Cited by:

    1. Jamel Jouini, 2009. "Analysis of structural break models based on the evolutionary spectrum: Monte Carlo study and application," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(1), pages 91-110.
    2. Manai Daboussi, Olfa, 2014. "Inflation Targeting As a Monetary Policy Rule: Experience and Prospects," MPRA Paper 59336, University Library of Munich, Germany, revised 14 Oct 2014.
    3. Essahbi Essaadi & Mohamed Boutahar, 2010. "A Measure of Variability in Comovement for Economic Variables: a Time-Varying Coherence Function Approach," Economics Bulletin, AccessEcon, vol. 30(2), pages 1054-1070.
    4. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Post-Print halshs-00272867, HAL.
    5. Singh, Nirvikar & Cortuk, Orcan, 2010. "Structural Change and Growth in India," Santa Cruz Department of Economics, Working Paper Series qt7fd4n35w, Department of Economics, UC Santa Cruz.
    6. Ahdi Ajmi & Adnen Ben Nasr & Mohamed Boutahar, 2008. "Seasonal Nonlinear Long Memory Model for the US Inflation Rates," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 243-254, April.
    7. Jamel Jouini, 2006. "Bootstrap Tests in Bivariate VAR Process with Single Structural Change : Power versus Corrected Size and Empirical Illustration," Working Papers halshs-00410759, HAL.
    8. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272867, HAL.
    9. Russell, Bill, 2011. "Non-stationary inflation and panel estimates of United States short and long-run Phillips curves," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 406-419, September.
    10. Strikholm, Birgit, 2006. "Determining the number of breaks in a piecewise linear regression model," SSE/EFI Working Paper Series in Economics and Finance 648, Stockholm School of Economics.
    11. Jeddy, Mohamed & Larue, Bruno, 2012. "Mergers, concurrent marketing mechanisms and the performance of sequential auctions," Working Papers 126945, Structure and Performance of Agriculture and Agri-products Industry (SPAA).
    12. Mohamed Boutahar & Jamel Jouini, 2007. "A Methodology For Detecting Breaks In The Mean And Covariance Structure Of Time Series," Working Papers halshs-00354249, HAL.
    13. Jouini, Jamel & Boutahar, Mohamed, 2005. "Evidence on structural changes in U.S. time series," Economic Modelling, Elsevier, vol. 22(3), pages 391-422, May.
    14. Konstantin Kholodilin & Vincent Wenxiong Yao, 2006. "Modelling the structural break in volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 417-422.

  20. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting multiple breaks in time series covariance structure: a non-parametric approach based on the evolutionary spectral density," Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1095-1101. See citations under working paper version above.
  21. J. Jouini & M. Boutahar, 2003. "Structural breaks in the U.S. inflation process: a further investigation," Applied Economics Letters, Taylor & Francis Journals, vol. 10(15), pages 985-988.

    Cited by:

    1. Dağdeviren, Sengül & Ogus Binatli, Ayla & Sohrabji, Niloufer, 2011. "Misalignment under different exchange rate regimes: the case of Turkey," MPRA Paper 46774, University Library of Munich, Germany.
    2. Essahbi Essaadi & Mohamed Boutahar, 2010. "A Measure of Variability in Comovement for Economic Variables: a Time-Varying Coherence Function Approach," Economics Bulletin, AccessEcon, vol. 30(2), pages 1054-1070.
    3. Jamel Jouini, 2006. "Bootstrap Tests in Bivariate VAR Process with Single Structural Change : Power versus Corrected Size and Empirical Illustration," Working Papers halshs-00410759, HAL.
    4. Lee, Dong Jin & Son, Jong Chil, 2013. "Nonlinearity and structural breaks in monetary policy rules with stock prices," Economic Modelling, Elsevier, vol. 31(C), pages 1-11.
    5. Mustapha Belkhouja & Mohamed Boutahar, 2009. "Structural Change and Long Memory in the Dynamic of U.S. Inflation Process," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 195-216, September.
    6. Dong Jin Lee, 2009. "Testing Parameter Stability in Quantile Models: An Application to the U.S. Inflation Process," Working papers 2009-26, University of Connecticut, Department of Economics.
    7. Jeddy, Mohamed & Larue, Bruno, 2012. "Mergers, concurrent marketing mechanisms and the performance of sequential auctions," Working Papers 126945, Structure and Performance of Agriculture and Agri-products Industry (SPAA).
    8. Jouini, Jamel & Boutahar, Mohamed, 2005. "Evidence on structural changes in U.S. time series," Economic Modelling, Elsevier, vol. 22(3), pages 391-422, May.
    9. Konstantin Kholodilin & Vincent Wenxiong Yao, 2006. "Modelling the structural break in volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 417-422.
    10. Dong Jin Lee & Jai Hyung Yoon, 2012. "The New Keynesian Phillips Curves in Multiple Quantiles and the Asymmetry of Monetary Policy," Working papers 2012-03, University of Connecticut, Department of Economics.

  22. Ahamada, Ibrahim & Boutahar, Mohamed, 2003. "Erratum to "Tests for covariance stationarity and white noise, with an application to Euro/US dollar exchange rate: An approach based on the evolutionary spectral density" [Economics Letters," Economics Letters, Elsevier, vol. 78(2), pages 293-293, February.

    Cited by:

    1. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Post-Print halshs-00272867, HAL.
    2. Mohamed Safouane Ben Aissa & Mohamed Boutahar & Jamel Jouini, 2004. "Bai and Perron's and spectral density methods for structural change detection in the US inflation process," Applied Economics Letters, Taylor & Francis Journals, vol. 11(2), pages 109-115.
    3. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272867, HAL.

  23. Mohamed Boutahar & Claude Deniau, 1995. "A proof of asymptotic normality for some VARX models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 42(1), pages 331-339, December.

    Cited by:

    1. Mohamed Boutahar, 2002. "General Autoregressive Models with Long-Memory Noise," Statistical Inference for Stochastic Processes, Springer, vol. 5(3), pages 321-333, October.
    2. Pierre Duchesne, 2005. "On the asymptotic distribution of residual autocovariances in VARX models with applications," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(2), pages 449-473, December.

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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 7 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 (6) 2008-10-28 2010-04-24 2010-05-02 2011-03-12 2011-06-04 2012-10-13. Author is listed
  2. NEP-ETS: Econometric Time Series (4) 2010-04-24 2010-05-02 2011-03-12 2011-06-04
  3. NEP-RMG: Risk Management (2) 2011-07-13 2012-10-13
  4. NEP-BEC: Business Economics (1) 2010-04-24
  5. NEP-CBA: Central Banking (1) 2008-10-28
  6. NEP-FOR: Forecasting (1) 2012-10-13
  7. NEP-MAC: Macroeconomics (1) 2008-10-28
  8. NEP-ORE: Operations Research (1) 2011-06-04

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