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Younes Nademi

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First Name:Younes
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Last Name:Nademi
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RePEc Short-ID:pna677
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https://abru.ac.ir/profile/39

Research output

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Working papers

  1. Esmaiel ABOUNOORI & Younes NADEMI, 2010. "Government Size Threshold and Economic Growth in Iran," EcoMod2010 259600001, EcoMod.

Articles

  1. Ramin Khochiani & Younes Nademi, 2020. "Energy consumption, CO2 emissions, and economic growth in the United States, China, and India: A wavelet coherence approach," Energy & Environment, , vol. 31(5), pages 886-902, August.
  2. Nademi, Arash & Nademi, Younes, 2018. "Forecasting crude oil prices by a semiparametric Markov switching model: OPEC, WTI, and Brent cases," Energy Economics, Elsevier, vol. 74(C), pages 757-766.
  3. Younes Nademi, 2018. "The resource curse and income inequality in Iran," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(3), pages 1159-1172, May.
  4. Rezaei, Hadi & Alizadeh , Mohammad & Nademi, Younes, 2017. "Effective Factors on Per Capita Healthcare Expenditure: A Comparison of Spatial Models in Selected Developing Countries," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 4(2), pages 1-26, September.
  5. Abounoori, Esmaiel & Elmi, Zahra (Mila) & Nademi, Younes, 2016. "Forecasting Tehran stock exchange volatility; Markov switching GARCH approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 264-282.
  6. Jafari Samimi, Ahmad & Ghaderi, Saman & Hosseinzadeh, Ramezan & Nademi, Younes, 2012. "Openness and inflation: New empirical panel data evidence," Economics Letters, Elsevier, vol. 117(3), pages 573-577.
  7. Ahmad JafariSamimi & Habib Ansari Samani & Younes Nademi, 2011. "Inflation and Inflation Tax in Iran: A Threshold Regression ‘Laffer Curve’ Model," Journal of Economics and Behavioral Studies, AMH International, vol. 3(3), pages 163-168.

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. Esmaiel ABOUNOORI & Younes NADEMI, 2010. "Government Size Threshold and Economic Growth in Iran," EcoMod2010 259600001, EcoMod.

    Cited by:

    1. François Facchini & Mickaël Melki, 2013. "Efficient government size: France in the 20 th century," Post-Print hal-01286723, HAL.
    2. Uchechi Shirley Anaduaka & Vivian Ikwuoma Nnetu & Stephen Ekene Aguegboh & David Iheke Okorie, 2016. "Relative Maxima of the Public Sector: A Comparative Study of Nigeria and Ghana," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(11), pages 575-589, November.
    3. Phan The Cong & Hoang Khac Lich, 2017. "The Driving Forces of Economic Growth before and after the 2008 Global Financial Crisis," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 575-582.
    4. Mroczek Teresa & Skica Tomasz & Rodzinka Jacek, 2019. "Optimal Size of the General Government Sector from the Point of View of its Impact on the EU Economies," South East European Journal of Economics and Business, Sciendo, vol. 14(2), pages 95-105, December.
    5. Andrew Phiri, 2017. "Nonlinearities in Wagner's law: further evidence from South Africa," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 9(3), pages 231-249.
    6. Taner Turan, 2014. "Optimal Size of Government in Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 4(2), pages 286-294.
    7. François Facchini & Mickaël Melki, 2011. "Optimal government size and economic growth in France (1871-2008) : An explanation by the State and market failures," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00654363, HAL.

Articles

  1. Ramin Khochiani & Younes Nademi, 2020. "Energy consumption, CO2 emissions, and economic growth in the United States, China, and India: A wavelet coherence approach," Energy & Environment, , vol. 31(5), pages 886-902, August.

    Cited by:

    1. Victor Moutinho & Mara Madaleno, 2021. "Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis," Energies, MDPI, vol. 14(4), pages 1-17, February.
    2. Munir Ahmad & Heng Li & Muhammad Khalid Anser & Abdul Rehman & Zeeshan Fareed & Qingyou Yan & Gul Jabeen, 2021. "Are the intensity of energy use, land agglomeration, CO2 emissions, and economic progress dynamically interlinked across development levels?," Energy & Environment, , vol. 32(4), pages 690-721, June.
    3. Tomiwa Sunday Adebayo & Dervis Kirikkaleli, 2021. "Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: application of wavelet tools," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16057-16082, November.
    4. Rundong Luo & Sami Ullah & Kishwar Ali, 2021. "Pathway towards Sustainability in Selected Asian Countries: Influence of Green Investment, Technology Innovations, and Economic Growth on CO2 Emission," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    5. Khalfaoui, Rabeh & Tiwari, Aviral Kumar & Khalid, Usman & Shahbaz, Muhammad, 2021. "Nexus between Carbon Dioxide Emissions and Economic Growth in G7 Countries: Fresh Insights via Wavelet Coherence Analysis," MPRA Paper 109276, University Library of Munich, Germany, revised 18 Aug 2021.

  2. Nademi, Arash & Nademi, Younes, 2018. "Forecasting crude oil prices by a semiparametric Markov switching model: OPEC, WTI, and Brent cases," Energy Economics, Elsevier, vol. 74(C), pages 757-766.

    Cited by:

    1. Hosseini, Seyed Hossein & Shakouri G., Hamed & Kazemi, Aliyeh, 2021. "Oil price future regarding unconventional oil production and its near-term deployment: A system dynamics approach," Energy, Elsevier, vol. 222(C).
    2. Li, Ranran & Hu, Yucai & Heng, Jiani & Chen, Xueli, 2021. "A novel multiscale forecasting model for crude oil price time series," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Long Hai Vo & Duc Hong Vo, 2019. "Application of Wavelet-Based Maximum Likelihood Estimator in Measuring Market Risk for Fossil Fuel," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    4. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Sivaprasad, Sheeja, 2021. "The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model," International Review of Financial Analysis, Elsevier, vol. 74(C).
    5. Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).
    6. Li, Jinchao & Zhu, Shaowen & Wu, Qianqian, 2019. "Monthly crude oil spot price forecasting using variational mode decomposition," Energy Economics, Elsevier, vol. 83(C), pages 240-253.
    7. Radosław Puka & Bartosz Łamasz, 2020. "Using Artificial Neural Networks to Find Buy Signals for WTI Crude Oil Call Options," Energies, MDPI, vol. 13(17), pages 1-20, August.
    8. Manickavasagam, Jeevananthan & Visalakshmi, S. & Apergis, Nicholas, 2020. "A novel hybrid approach to forecast crude oil futures using intraday data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    9. Butler, Sunil & Kokoszka, Piotr & Miao, Hong & Shang, Han Lin, 2021. "Neural network prediction of crude oil futures using B-splines," Energy Economics, Elsevier, vol. 94(C).
    10. Akdoğan, Kurmaş, 2020. "Fundamentals versus speculation in oil market: The role of asymmetries in price adjustment?," Resources Policy, Elsevier, vol. 67(C).
    11. Zhang, Tingting & Tang, Zhenpeng & Wu, Junchuan & Du, Xiaoxu & Chen, Kaijie, 2021. "Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization algorithm," Energy, Elsevier, vol. 229(C).
    12. Taiyong Li & Yingrui Zhou & Xinsheng Li & Jiang Wu & Ting He, 2019. "Forecasting Daily Crude Oil Prices Using Improved CEEMDAN and Ridge Regression-Based Predictors," Energies, MDPI, vol. 12(19), pages 1-25, September.
    13. Yu, Hongchu & Fang, Zhixiang & Lu, Feng & Murray, Alan T. & Zhang, Hengcai & Peng, Peng & Mei, Qiang & Chen, Jinhai, 2019. "Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes," Applied Energy, Elsevier, vol. 237(C), pages 390-403.

  3. Younes Nademi, 2018. "The resource curse and income inequality in Iran," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(3), pages 1159-1172, May.

    Cited by:

    1. Jianguo Du & Jing Zhang & Xingwei Li, 2020. "What Is the Mechanism of Resource Dependence and High-Quality Economic Development? An Empirical Test from China," Sustainability, MDPI, vol. 12(19), pages 1-17, October.
    2. Nademi, Arash & Nademi, Younes, 2018. "Forecasting crude oil prices by a semiparametric Markov switching model: OPEC, WTI, and Brent cases," Energy Economics, Elsevier, vol. 74(C), pages 757-766.
    3. Zarei, Samira, 2020. "Analyzing the Asymmetric Effects of Inflation and Exchange Rate Misalignments on the Petrochemical Stock index: The Case of Iran," MPRA Paper 99101, University Library of Munich, Germany.

  4. Abounoori, Esmaiel & Elmi, Zahra (Mila) & Nademi, Younes, 2016. "Forecasting Tehran stock exchange volatility; Markov switching GARCH approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 264-282.

    Cited by:

    1. Dejan Živkov & Suzana Balaban & Marko Pećanac, 2021. "Assessing the multiscale “meteor shower” effect from oil to the central and eastern European stock indices," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1855-1870, April.
    2. S. Al Wadi, 2017. "Improving Volatility Risk Forecasting Accuracy in Industry Sector," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2017, pages 1-6, November.
    3. Jujie Wang & Yinan Liao & Zhenzhen Zhuang & Dongming Gao, 2021. "An Optimal Weighted Combined Model Coupled with Feature Reconstruction and Deep Learning for Multivariate Stock Index Forecasting," Mathematics, MDPI, vol. 9(21), pages 1-20, October.
    4. Abdulkadir Kaya & İkram Yusuf Yarbaşı, 2021. "Forecasting of Volatility in Stock Exchange Markets by MS-GARCH Approach: An Application of Borsa Istanbul," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 6(1), pages 16-35.
    5. Indranil Ghosh & Manas K. Sanyal & R. K. Jana, 2021. "Co-movement and Dynamic Correlation of Financial and Energy Markets: An Integrated Framework of Nonlinear Dynamics, Wavelet Analysis and DCC-GARCH," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 503-527, February.
    6. Xiao, Yang, 2020. "The risk spillovers from the Chinese stock market to major East Asian stock markets: A MSGARCH-EVT-copula approach," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 173-186.
    7. Lahmiri, Salim, 2017. "Modeling and predicting historical volatility in exchange rate markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 387-395.
    8. Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhuang, Xin-Tian, 2018. "Modeling volatility dynamics using non-Gaussian stochastic volatility model based on band matrix routine," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 193-201.
    9. Reza, Md. Ridwan & Masih, Mansur, 2017. "Regime switching behavior of volatilities of Islamic equities: evidence from Markov- Switching GARCH models for some selected broad based indices," MPRA Paper 82123, University Library of Munich, Germany.
    10. Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhuang, Xin-Tian, 2019. "Non-Gaussian VARMA model with stochastic volatility and applications in stock market bubbles," Chaos, Solitons & Fractals, Elsevier, vol. 121(C), pages 129-136.
    11. Abounoori, Esmaiel & Tour, Mansour, 2019. "Stock market interactions among Iran, USA, Turkey, and UAE," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 297-305.
    12. Gong, Xu & Lin, Boqiang, 2018. "Structural changes and out-of-sample prediction of realized range-based variance in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 27-39.
    13. Lin, Yu & Xiao, Yang & Li, Fuxing, 2020. "Forecasting crude oil price volatility via a HM-EGARCH model," Energy Economics, Elsevier, vol. 87(C).

  5. Jafari Samimi, Ahmad & Ghaderi, Saman & Hosseinzadeh, Ramezan & Nademi, Younes, 2012. "Openness and inflation: New empirical panel data evidence," Economics Letters, Elsevier, vol. 117(3), pages 573-577.

    Cited by:

    1. Biswajit Maitra & Tafajul Hossain, 2020. "Inflation in India: causes and anti-inflationary policy perception," International Journal of Economic Policy Studies, Springer, vol. 14(2), pages 363-387, August.
    2. Kwark, Noh-Sun & Lim, Hosung, 2020. "Have the free trade agreements reduced inflation rates?," Economics Letters, Elsevier, vol. 189(C).
    3. Kaitlyn R. Wolf & Andrew T. Young, 2014. "Globalization and Income Convergence," Working Papers 14-07, Department of Economics, West Virginia University.
    4. Arshi Shahid & Hafiz Khalil Ahmad & Saima Liaqat, 2020. "Inflation, Globalization and Interest Rate Nexus to Curb Price volatility: An Empirical Cross-Country Analysis," Global Economics Review, Humanity Only, vol. 5(1), pages 153-165, March.
    5. Yaya Keho, 2017. "The impact of trade openness on economic growth: The case of Cote d’Ivoire," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1332820-133, January.
    6. de Mendonça, Helder Ferreira & Nascimento, Natalia Cunha, 2020. "Monetary policy efficiency and macroeconomic stability: Do financial openness and economic globalization matter?," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    7. Alimi, R. Santos & Olorunfemi, Sola, 2018. "Does Inflation Uncertainty Matter for Validity of Romer’s Hypothesis? Evidence from Nigeria," MPRA Paper 90948, University Library of Munich, Germany.
    8. Young, Andrew T. & Tackett, Maria Y., 2018. "Globalization and the decline in labor shares: Exploring the relationship beyond trade and financial flows," European Journal of Political Economy, Elsevier, vol. 52(C), pages 18-35.
    9. Mehmet BALCILAR & Ojonugwa USMAN & Muhammad Sani MUSA, 2020. "The Long-Run and Short-Run Exchange Rate Pass-Through during the Period of Economic Reforms in Nigeria: Is it Complete or Incomplete?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 151-172, March.
    10. Salem, Rami & Usman, Muhammad & Ezeani, Ernest, 2021. "Loan loss provisions and audit quality: Evidence from MENA Islamic and conventional banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 345-359.
    11. Aribah Aslam, 2020. "The hotly debate of human capital and economic growth: why institutions may matter?," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1351-1362, August.
    12. Zare , Roohollah, 2019. "Globalization and Income Inequality: Does the Level of Financial Development Matter?," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 14(2), pages 159-175, April.
    13. Jalil, Abdul & Tariq, Rabbia & Bibi, Nazia, 2014. "Fiscal deficit and inflation: New evidences from Pakistan using a bounds testing approach," Economic Modelling, Elsevier, vol. 37(C), pages 120-126.
    14. Kunofiwa Tsaurai, 2021. "Determinants of Trade Openness in Transitional Economies: Does the Complementarity between Foreign Direct Investment and Human Capital Development Matter?," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 318-330.
    15. Jeffrey Kouton, 2018. "An Asymmetric Analysis of the Relationship between Openness and Inflation in Côte d'Ivoire," International Journal of Economics and Financial Issues, Econjournals, vol. 8(6), pages 65-75.
    16. Jac C. Heckelman & Andrew T. Young, 2014. "How Global is Globalization?," Working Papers 14-08, Department of Economics, West Virginia University.
    17. Salahodjaev, Raufhon & Azam, Sardor, 2015. "Intelligence and gender (in)equality: empirical evidence from developing countries," MPRA Paper 66295, University Library of Munich, Germany.
    18. Fernando Marques Mansilla & Elano Ferreira Arruda & Roberto Tatiwa Ferreira, 2020. "Trade openness and inflation dynamics in Brazil," Economics Bulletin, AccessEcon, vol. 40(3), pages 1948-1957.
    19. HAMI Mahyar, 2014. "Inflation And Openness: Empirical Evidences From Iran (1965-2010)," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 9(2), pages 27-32, August.

More information

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Statistics

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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 1 paper 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-ARA: MENA - Middle East & North Africa (1) 2014-10-17
  2. NEP-CWA: Central & Western Asia (1) 2014-10-17
  3. NEP-FDG: Financial Development & Growth (1) 2014-10-17
  4. NEP-PBE: Public Economics (1) 2014-10-17

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