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Adnen Ben Nasr

Personal Details

First Name:Adnen
Middle Name:
Last Name:Ben Nasr
Suffix:
RePEc Short-ID:pbe407
https://scholar.google.com/citations?user=BQV8lXgAAAAJ&hl=fr
BESTMOD, Institut Supérieur de Gestion de Tunis, 41 rue de la liberté, Cité Bouchoucha Le Bardo 2000, Tunis, TUNISIE

Affiliation

(95%) Laboratoire BESTMOD (Business & Economic STatistics MODeling)
Institut Supérieur de Gestion de Tunis
Université de Tunis

Tunis, Tunisia
http://www.isg.rnu.tn/bestmod/

: (216) 71 56 03 78
(216) 71 56 87 67
41, Avenue de la Liberté Cité Bouchouda, Le Bardo 2000, Tunis
RePEc:edi:lbmuttn (more details at EDIRC)

(5%) Institut Supérieur de Commerce et Comptabilité de Bizerte (ISCCB)
Université de Carthage

Bizerte, Tunisia
http://www.isccb.rnu.tn/

: +216 72 593 288
+216 72 593 288
7021 Zarzouna - Bizerte
RePEc:edi:isccbtn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Adnen Ben Nasr & Mehmet Balcilar & Rangan Gupta & Seyi Saint Akadiri, 2018. "Asymmetric Effects of Inequality on Per Capita Real GDP of the United States," Working Papers 201820, University of Pretoria, Department of Economics.
  2. Adnen Ben Nasr & Matteo Bonato & Riza Demirer & Rangan Gupta, 2018. "Investor Sentiment and Crash Risk in Safe Havens," Working Papers 201804, University of Pretoria, Department of Economics.
  3. Adnen Ben Nasr & Juncal Cunado & Rıza Demirer & Rangan Gupta, 2017. "Country Risk Ratings and Stock Market Returns in BRICS Countries: A Nonlinear Dynamic Approach," Working Papers 201758, University of Pretoria, Department of Economics.
  4. Adnen Ben Nasr & Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta, 2017. "Kuznets Curve for the US: A Reconsideration Using Cosummability," Working Papers 201763, University of Pretoria, Department of Economics.
  5. 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.
  6. Adnen Ben Nasr & Thomas Lux & Ahdi N. Ajmi & Rangan Gupta, 2014. "Forecasting the Volatility of the Dow Jones Islamic Stock Market Index: Long Memory vs. Regime Switching," Working Papers 201412, University of Pretoria, Department of Economics.
  7. Adnen Ben Nasr & Rangan Gupta & Joao Ricardo Sato, 2014. "Is there an Environmental Kuznets Curve for South Africa? A Co-Summability Approach Using a Century of Data," Working Papers 201466, University of Pretoria, Department of Economics.
  8. 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.
  9. Ben Nasr, Adnen & Trabelsi, Abdelwahed, 2005. "Seasonal and Periodic Long Memory Models in the In�ation Rates," MPRA Paper 22690, University Library of Munich, Germany, revised 03 Feb 2006.

Articles

  1. Meriam BouAli & Adnen Ben Nasr & Abdelwahed Trabelsi, 2016. "A Nonlinear Approach for Modeling and Forecasting US Business Cycles," International Economic Journal, Taylor & Francis Journals, vol. 30(1), pages 39-74, March.
  2. Nasr, Adnen Ben & Lux, Thomas & Ajmi, Ahdi Noomen & Gupta, Rangan, 2016. "Forecasting the volatility of the Dow Jones Islamic Stock Market Index: Long memory vs. regime switching," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 559-571.
  3. Nasr, Adnen Ben & Balcilar, Mehmet & Ajmi, Ahdi N. & Aye, Goodness C. & Gupta, Rangan & van Eyden, Reneé, 2015. "Causality between inflation and inflation uncertainty in South Africa: Evidence from a Markov-switching vector autoregressive model," Emerging Markets Review, Elsevier, vol. 24(C), pages 46-68.
  4. Ben Nasr, Adnen & Gupta, Rangan & Sato, João Ricardo, 2015. "Is there an Environmental Kuznets Curve for South Africa? A co-summability approach using a century of data," Energy Economics, Elsevier, vol. 52(PA), pages 136-141.
  5. Adnen Ben Nasr & Ahdi Noomen Ajmi & Rangan Gupta, 2014. "Modelling the volatility of the Dow Jones Islamic Market World Index using a fractionally integrated time-varying GARCH (FITVGARCH) model," Applied Financial Economics, Taylor & Francis Journals, vol. 24(14), pages 993-1004, July.
  6. 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.
  7. 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.

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. Adnen Ben Nasr & Mehmet Balcilar & Rangan Gupta & Seyi Saint Akadiri, 2018. "Asymmetric Effects of Inequality on Per Capita Real GDP of the United States," Working Papers 201820, University of Pretoria, Department of Economics.

    Cited by:

    1. Oguzhan Cepni & Rangan Gupta & Zhihui Lv, 2019. "Threshold Effects of Inequality on Economic Growth in the US States: The Role of Human Capital to Physical Capital Ratio," Working Papers 201968, University of Pretoria, Department of Economics.

  2. Adnen Ben Nasr & Matteo Bonato & Riza Demirer & Rangan Gupta, 2018. "Investor Sentiment and Crash Risk in Safe Havens," Working Papers 201804, University of Pretoria, Department of Economics.

    Cited by:

    1. Bonato, Matteo & Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian, 2018. "Gold futures returns and realized moments: A forecasting experiment using a quantile-boosting approach," Resources Policy, Elsevier, vol. 57(C), pages 196-212.
    2. Das, Sonali & Demirer, Riza & Gupta, Rangan & Mangisa, Siphumlile, 2019. "The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 132-147.
    3. Matteo Bonato & Rangan Gupta & Chi Keung Marco Lau & Shixuan Wang, 2019. "Moments-Based Spillovers across Gold and Oil Markets," Working Papers 201966, University of Pretoria, Department of Economics.

  3. Adnen Ben Nasr & Juncal Cunado & Rıza Demirer & Rangan Gupta, 2017. "Country Risk Ratings and Stock Market Returns in BRICS Countries: A Nonlinear Dynamic Approach," Working Papers 201758, University of Pretoria, Department of Economics.

    Cited by:

    1. Hasan Dinçer & Serhat Yüksel & Seçil Şenel, 2018. "Analyzing the Global Risks for the Financial Crisis after the Great Depression Using Comparative Hybrid Hesitant Fuzzy Decision-Making Models: Policy Recommendations for Sustainable Economic Growth," Sustainability, MDPI, Open Access Journal, vol. 10(9), pages 1-15, September.

  4. Adnen Ben Nasr & Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta, 2017. "Kuznets Curve for the US: A Reconsideration Using Cosummability," Working Papers 201763, University of Pretoria, Department of Economics.

    Cited by:

    1. Seyi Saint Akadiri & Ada Chigozie Akadiri, 2018. "Growth and Inequality in Africa: Reconsideration," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 4(3), pages 76-86, September.
    2. Renee van Eyden & Rangan Gupta & Mark E. Wohar, 2019. "Impact of Oil Price Volatility on State-Level Consumption of the United States: The Role of Oil Dependence," Working Papers 201969, University of Pretoria, Department of Economics.
    3. Shinhye Chang & Matthew W. Clance & Giray Gozgor & Rangan Gupta, 2019. "A Reconsideration of Kuznets Curve across Countries: Evidence from the Co-summability Approach," Working Papers 201970, University of Pretoria, Department of Economics.
    4. Oguzhan Cepni & Rangan Gupta & Zhihui Lv, 2019. "Threshold Effects of Inequality on Economic Growth in the US States: The Role of Human Capital to Physical Capital Ratio," Working Papers 201968, University of Pretoria, Department of Economics.

  5. 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.

    Cited by:

    1. Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Stephen M. Miller & Rangan Gupta, 2016. "Time-Frequency Relationship between Inflation and Inflation Uncertainty for the U.S.: Evidence from Historical Data," Working papers 2016-12, University of Connecticut, Department of Economics.
    2. Falahi , Mohammad Ali & Hajamini , Mehdi, 2015. "Relationship between Inflation and Inflation Uncertainty in Iran: An Application of SETAR-GARCH Model," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(2), pages 69-91, January.
    3. Johannes W. Fedderke and Yang Liu, 2016. "Inflation in South Africa: An Assessment of Alternative Inflation Models," Working Papers 592, Economic Research Southern Africa.
    4. Said Zamin Shah & Said Zamin Shah & Ahmad Zubaidi Baharumshah & Muzafar Shah Habibullah & Law Siong Hook, 2017. "The Asymmetric Effects of Real and Nominal Uncertainty on Inflation and Output Growth: Empirical Evidence from Bangladesh," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 377-386.
    5. Zied Ftiti & Fredj Jawadi, 2019. "Forecasting Inflation Uncertainty in the United States and Euro Area," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 455-476, June.
    6. William Barnett & Zied Ftiti & Fredj Jawadi, 2018. "The Causal Relationships between Inflation and Inflation Uncertainty," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201803, University of Kansas, Department of Economics, revised Mar 2018.
    7. Jiranyakul, Komain, 2020. "The Linkages between Inflation and Inflation Uncertainty in Selected Asian Economies: Evidence from Quantile Regression," MPRA Paper 99868, University Library of Munich, Germany.
    8. Alimi, R. Santos, 2017. "Association between inflation rates and inflation uncertainty in quantile regression," MPRA Paper 79683, University Library of Munich, Germany.

  6. Adnen Ben Nasr & Thomas Lux & Ahdi N. Ajmi & Rangan Gupta, 2014. "Forecasting the Volatility of the Dow Jones Islamic Stock Market Index: Long Memory vs. Regime Switching," Working Papers 201412, University of Pretoria, Department of Economics.

    Cited by:

    1. Elie Bouri & Riza Demirer & Rangan Gupta & Hardik A. Marfatia, 2019. "Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(3), pages 367-379, April.
    2. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta & Riza Demirer, 2018. "Forecasting Stock Market (Realized) Volatility in the United Kingdom: Is There a Role for Economic Inequality?," Working Papers 201880, University of Pretoria, 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. Rangan Gupta & Mark Wohar, 2019. "The role of monetary policy uncertainty in predicting equity market volatility of the United Kingdom: evidence from over 150 years of data," Economics and Business Letters, Oviedo University Press, vol. 8(3), pages 138-146.
    5. Mehmet Balcilar & Charl Jooste & Shawkat Hammoudeh & Rangan Gupta & Vassilios Babalos, 2015. "Are there long-run diversification gains from the Dow Jones Islamic finance index?," Applied Economics Letters, Taylor & Francis Journals, vol. 22(12), pages 945-950, August.
    6. Balcilar, Mehmet & Gupta, Rangan & Kim, Won Joong & Kyei, Clement, 2019. "The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 150-163.
    7. Shahzad, Syed Jawad Hussain & Ferrer, Román & Ballester, Laura & Umar, Zaghum, 2017. "Risk transmission between Islamic and conventional stock markets: A return and volatility spillover analysis," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 9-26.
    8. Raza , Muhammad Wajid & Ashraf, Dawood, 2018. "Does the Application of Smart Beta Strategies Enhance Portfolio Performance? The Case of Islamic Equity Investments," Working Papers 2018-1, The Islamic Research and Teaching Institute (IRTI).
    9. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach, 2019. "A survey of Islamic banking and finance literature: Issues, challenges and future directions," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 484-496.
    10. Lei Ruan, 2018. "Research on Sustainable Development of the Stock Market Based on VIX Index," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-12, November.
    11. Xin-Lan Fu & Xing-Lu Gao & Zheng Shan & Zhi-Qiang Jiang & Wei-Xing Zhou, 2018. "Multifractal characteristics and return predictability in the Chinese stock markets," Papers 1806.07604, arXiv.org.
    12. Charles, Amélie & Darné, Olivier, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Energy Economics, Elsevier, vol. 67(C), pages 508-519.
    13. Manel Hamdi & Walid Chkili, 2019. "An artificial neural network augmented GARCH model for Islamic stock market volatility: Do asymmetry and long memory matter?," Working Papers 13, Economic Research Forum, revised 21 Aug 2019.

  7. Adnen Ben Nasr & Rangan Gupta & Joao Ricardo Sato, 2014. "Is there an Environmental Kuznets Curve for South Africa? A Co-Summability Approach Using a Century of Data," Working Papers 201466, University of Pretoria, Department of Economics.

    Cited by:

    1. Shahbaz, Muhammad & Sinha, Avik, 2019. "Environmental Kuznets Curve for CO2 emission: A survey of empirical literature," MPRA Paper 100257, University Library of Munich, Germany, revised 2019.
    2. Aslan Alper & Gozbasi Onur, 2016. "Environmental Kuznets curve hypothesis for sub-elements of the carbon emissions in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(2), pages 1327-1340, June.
    3. Bouznit, Mohammed & Pablo-Romero, María del P., 2016. "CO2 emission and economic growth in Algeria," Energy Policy, Elsevier, vol. 96(C), pages 93-104.
    4. Kristofer Månsson & B. M. Golam Kibria & Ghazi Shukur & Pär Sjölander, 2018. "On the Estimation of the CO 2 Emission, Economic Growth and Energy Consumption Nexus Using Dynamic OLS in the Presence of Multicollinearity," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-11, April.
    5. Atif Awad & Mohammed Hersi Warsame, 2017. "Climate Changes in Africa: Does Economic Growth Matter? A Semi-parametric Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 1-8.
    6. Shahbaz, Muhammad & Sinha, Avik, 2018. "Environmental Kuznets Curve for CO2 Emission: A Literature Survey," MPRA Paper 86281, University Library of Munich, Germany, revised 11 Apr 2018.
    7. Maralgua Och, 2017. "Empirical Investigation of the Environmental Kuznets Curve Hypothesis for Nitrous Oxide Emissions for Mongolia," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 117-128.
    8. Deshan Li & Yanfen Zhao & Rongwei Wu & Jiefang Dong, 2019. "Spatiotemporal Features and Socioeconomic Drivers of PM 2.5 Concentrations in China," Sustainability, MDPI, Open Access Journal, vol. 11(4), pages 1-18, February.
    9. Awad, Atif, 2019. "Does economic integration damage or benefit the environment? Africa's experience," Energy Policy, Elsevier, vol. 132(C), pages 991-999.

  8. 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.

    Cited by:

    1. 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.
    2. Luis A Gil-Alana & Christophe André & Rangan Gupta & Tsangyao Chang & Omid Ranjbar, 2015. "The Feldstein-Horioka Puzzle in South Africa: A Fractional Cointegration Approach," Working Papers 201501, University of Pretoria, Department of Economics.
    3. Luis A.Gil-Alana & Shinhye Chang & Mehmet Balcilar & Goodness C. Aye & Rangan Gupta, 2014. "Persistence in Precious Metal Prices: A Fractional Integration Approach with Structural Breaks," Working Papers 201458, University of Pretoria, Department of Economics.
    4. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta & Riza Demirer, 2018. "Forecasting Stock Market (Realized) Volatility in the United Kingdom: Is There a Role for Economic Inequality?," Working Papers 201880, University of Pretoria, Department of Economics.
    5. Luis A. Gil-Alana & Juncal Cunado & Rangan Gupta, 2015. "Persistence, Mean-Reversion and Non-Linearities in Infant Mortality Rates," Working Papers 201574, University of Pretoria, Department of Economics.
    6. 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.
    7. Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "Crude oil price behaviour before and after military conflicts and geopolitical events," Energy, Elsevier, vol. 120(C), pages 79-91.
    8. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana & Rangan Gupta, 2015. "The Relationship between Healthcare Expenditure and Disposable Personal Income in the US States: A Fractional Integration and Cointegration Analysis," Discussion Papers of DIW Berlin 1486, DIW Berlin, German Institute for Economic Research.
    9. Rangan Gupta & Mark Wohar, 2019. "The role of monetary policy uncertainty in predicting equity market volatility of the United Kingdom: evidence from over 150 years of data," Economics and Business Letters, Oviedo University Press, vol. 8(3), pages 138-146.
    10. Giorgio Canarella & Luis A. Gil-Alana & Rangan Gupta & Stephen M. Miller, 2020. "Modeling US historical time-series prices and inflation using alternative long-memory approaches," Empirical Economics, Springer, vol. 58(4), pages 1491-1511, April.
    11. Luis Alberiko Gil-Alaña & Borja Balprad & Guglielmo Maria Caporale, 2015. "African Growth, Non-Linearities and Strong Dependence: An Empirical Study," NCID Working Papers 12/2015, Navarra Center for International Development, University of Navarra.
    12. Christophe Andre & Mehmet Balcilar & Tsangyao Chang & Luis Alberiko Gil-Alana & Rangan Gupta, 2018. "Current account sustainability in G7 and BRICS: Evidence from a long-memory model with structural breaks," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 27(6), pages 638-654, August.
    13. OlaOluwa S. Yaya & Luis A. Gil-Alana & Acheampong Y. Amoateng, 2019. "Under-5 Mortality Rates in G7 Countries: Analysis of Fractional Persistence, Structural Breaks and Nonlinear Time Trends," European Journal of Population, Springer;European Association for Population Studies, vol. 35(4), pages 675-694, October.
    14. 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.
    15. Luis A. Gil-Alana & Andrea Mervar & James E. Payne, 2017. "The stationarity of inflation in Croatia: anti-inflation stabilization program and the change in persistence," Economic Change and Restructuring, Springer, vol. 50(1), pages 45-58, February.
    16. Luis A. Gil-Alana & Rangan Gupta & Fernando Perez de Gracia, 2016. "Persistence, mean reversion and non-linearities in the US housing prices over 1830--2013," Applied Economics, Taylor & Francis Journals, vol. 48(34), pages 3244-3252, July.
    17. Mateo Isoardi & Luis A. Gil-Alana, 2019. "Inflation in Argentina: Analysis of Persistence Using Fractional Integration," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(2), pages 204-223, April.
    18. O. S. Yaya & O. J. Akintande & A. E. Ogbonna & H. M. Adegoke, 2019. "Cpi Inflation In Africa: Fractional Persistence, Mean Reversion And Nonlinearity," Statistics in Transition New Series, Polish Statistical Association, vol. 20(3), pages 119-132, September.
    19. Maoguo Wu & Yanyuan Wang, 2018. "Risk Analysis of World Major Stock Index Before and After the 2008 Financial Crisis ¨C Based on GARCH-VaR Approach," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(2), pages 39-54, April.
    20. Juan Carlos Cuestas & Luis A. Gil-Alana & Laura Sauci, 2020. "Public finances in the EU-27: Are they sustainable?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(1), pages 181-204, February.

  9. Ben Nasr, Adnen & Trabelsi, Abdelwahed, 2005. "Seasonal and Periodic Long Memory Models in the In�ation Rates," MPRA Paper 22690, University Library of Munich, Germany, revised 03 Feb 2006.

    Cited by:

    1. Ye, Xunyu & Gao, Ping & Li, Handong, 2015. "Improving estimation of the fractionally differencing parameter in the SARFIMA model using tapered periodogram," Economic Modelling, Elsevier, vol. 46(C), pages 167-179.

Articles

  1. Nasr, Adnen Ben & Lux, Thomas & Ajmi, Ahdi Noomen & Gupta, Rangan, 2016. "Forecasting the volatility of the Dow Jones Islamic Stock Market Index: Long memory vs. regime switching," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 559-571.
    See citations under working paper version above.
  2. Nasr, Adnen Ben & Balcilar, Mehmet & Ajmi, Ahdi N. & Aye, Goodness C. & Gupta, Rangan & van Eyden, Reneé, 2015. "Causality between inflation and inflation uncertainty in South Africa: Evidence from a Markov-switching vector autoregressive model," Emerging Markets Review, Elsevier, vol. 24(C), pages 46-68.
    See citations under working paper version above.
  3. Ben Nasr, Adnen & Gupta, Rangan & Sato, João Ricardo, 2015. "Is there an Environmental Kuznets Curve for South Africa? A co-summability approach using a century of data," Energy Economics, Elsevier, vol. 52(PA), pages 136-141.
    See citations under working paper version above.
  4. Adnen Ben Nasr & Ahdi Noomen Ajmi & Rangan Gupta, 2014. "Modelling the volatility of the Dow Jones Islamic Market World Index using a fractionally integrated time-varying GARCH (FITVGARCH) model," Applied Financial Economics, Taylor & Francis Journals, vol. 24(14), pages 993-1004, July.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

  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.

    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. Massimiliano Caporin & Rangan Gupta, 2014. "Time-Varying Persistence in US Inflation," Working Papers 201457, University of Pretoria, Department of Economics.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

More information

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 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-RMG: Risk Management (5) 2013-09-26 2014-04-11 2014-05-04 2014-12-13 2018-02-19. Author is listed
  2. NEP-FOR: Forecasting (4) 2014-04-11 2014-05-04 2014-05-09 2014-12-13
  3. NEP-ARA: MENA - Middle East & North Africa (2) 2014-05-04 2014-05-09
  4. NEP-FMK: Financial Markets (2) 2013-09-26 2014-04-11
  5. NEP-HIS: Business, Economic & Financial History (2) 2014-11-12 2017-09-17
  6. NEP-MAC: Macroeconomics (2) 2014-11-07 2017-09-17
  7. NEP-ORE: Operations Research (2) 2014-05-04 2014-12-13
  8. NEP-ENE: Energy Economics (1) 2014-11-12
  9. NEP-ENV: Environmental Economics (1) 2014-11-12
  10. NEP-ETS: Econometric Time Series (1) 2014-12-13
  11. NEP-GER: German Papers (1) 2014-04-11
  12. NEP-GRO: Economic Growth (1) 2018-03-26

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