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Adnen Ben Nasr

Personal Details

First Name:Adnen
Middle Name:
Last Name:Ben Nasr
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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 & 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. 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.

  3. 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.

  4. 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. 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.
    2. Claudiu T. Albulescu & Aviral Kumar Twari & Stephen M. Miller & Rangan Gupta, 2015. "Time-Frequency Relationship between Inflation and Inflation Uncertainty for the U.S.: Evidence from Historical Data," Working Papers 201591, University of Pretoria, Department of Economics.
    3. 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.
    4. Johannes Fedderke & Yang Liu, 2018. "Inflation in South Africa: An Assessment of Alternative Inflation Models," South African Journal of Economics, Economic Society of South Africa, vol. 86(2), pages 197-230, June.
    5. Alimi, R. Santos, 2017. "Association between inflation rates and inflation uncertainty in quantile regression," MPRA Paper 79683, University Library of Munich, Germany.
    6. Johannes Fedderke & Yang Liu, 2016. "Working Paper – WP/16/03- Inflation in South Africa- An Assessment of Alternative Inflation Models," Working Papers 7275, South African Reserve Bank.
    7. 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. 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. 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.
    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. Rangan Gupta & Mark E. Wohar, 2018. "The Role of Monetary Policy Uncertainty in Predicting Equity Market Volatility of the United Kingdom: Evidence from over 150 Years of Data," Working Papers 201851, University of Pretoria, Department of Economics.
    4. 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.
    5. Elie Bouri & Riza Demirer & Rangan Gupta & Hardik A. Marfatia, 2017. "Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note," Working Papers 201743, University of Pretoria, Department of Economics.
    6. 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.
    7. 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.
    8. 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.
    9. Charles, Amélie & Darné, Olivier, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Energy Economics, Elsevier, vol. 67(C), pages 508-519.
    10. 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.

  6. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Bouznit, Mohammed & Pablo-Romero, María del P., 2016. "CO2 emission and economic growth in Algeria," Energy Policy, Elsevier, vol. 96(C), pages 93-104.
    6. 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.

  7. 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 & 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana & Rangan Gupta, 2018. "The relationship between healthcare expenditure and disposable personal income in the US states: a fractional integration and cointegration analysis," Empirical Economics, Springer, vol. 55(3), pages 913-935, November.
    8. Christophe André & Tsangyao Chang & Luis A. Gil-Alana & Rangan Gupta, 2017. "Current Account Sustainability in G7 and BRICS: Evidence from a Long Memory Model with Structural Breaks," Working Papers 201705, University of Pretoria, Department of Economics.
    9. Rangan Gupta & Mark E. Wohar, 2018. "The Role of Monetary Policy Uncertainty in Predicting Equity Market Volatility of the United Kingdom: Evidence from over 150 Years of Data," Working Papers 201851, University of Pretoria, Department of Economics.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    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 & Rangan Gupta & Ferando Perez de Gracia, 2014. "Persistence, Mean Reversion and Non-Linearities in US Housing Prices Over 1830-2013," Working Papers 201450, University of Pretoria, Department of Economics.
    16. 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.

  8. 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. 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.
    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. 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.
    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. 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. 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.
    2. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.
    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. 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.
    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.
    6. 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.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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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