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Hanan Naser

Personal Details

First Name:Hanan
Middle Name:
Last Name:Naser
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RePEc Short-ID:pna386
Business Administration Studies Arab Open University, Bahrain Road 3206, Block 732 A'ali Bahrain
+973-17407548

Affiliation

Arab Open University, Business Studies Department

http://www.aou.org.bh
A'ali, Bahrain

Research output

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Jump to: Working papers Articles

Working papers

  1. Naser, Hanan & Ahmed, Abdul Rashid, 2016. "Oil Price Shocks and Stock Market Performance in Emerging Economies: Some Evidence using FAVAR Models," MPRA Paper 77868, University Library of Munich, Germany.
  2. Naser, Hanan & Alaali, Fatema, 2015. "Can Oil Prices Help Predict US Stock Market Returns: An Evidence Using a DMA Approach," MPRA Paper 65295, University Library of Munich, Germany, revised 25 Jun 2015.
  3. Naser, Hanan, 2014. "On the cointegration and causality between Oil market, Nuclear Energy Consumption, and Economic Growth: Evidence from Developed Countries," MPRA Paper 65252, University Library of Munich, Germany, revised 25 Mar 2015.

Articles

  1. Hanan Naser, 2017. "Can Gold Investments Provide a Good Hedge Against Inflation? An Empirical Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 470-475.
  2. Hanan Naser, 2016. "The Role of the Gulf Cooperation Council's Sovereign Wealth Funds in the New Era of Oil," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1657-1664.
  3. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
  4. Hanan Naser, 2015. "Can Nuclear Energy Stimulates Economic Growth? Evidence from Highly Industrialised Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 164-173.
  5. Naser, Hanan, 2015. "Analysing the long-run relationship among oil market, nuclear energy consumption, and economic growth: An evidence from emerging economies," Energy, Elsevier, vol. 89(C), pages 421-434.
  6. Hanan Naser, 2015. "Estimating and forecasting Bahrain quarterly GDP growth using simple regression and factor-based methods," Empirical Economics, Springer, vol. 49(2), pages 449-479, September.
  7. Hanan Naser, 2014. "Oil Market, Nuclear Energy Consumption and Economic Growth: Evidence from Emerging Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 288-296.

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. Naser, Hanan & Ahmed, Abdul Rashid, 2016. "Oil Price Shocks and Stock Market Performance in Emerging Economies: Some Evidence using FAVAR Models," MPRA Paper 77868, University Library of Munich, Germany.

    Cited by:

    1. Muhammad Ali, Khalid M. Iraqi, Abdul Waheed Khan, 2019. "Impact of Oil Prices on Stock Market Performance: Evidence from Top Oil Importing Countries," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 4(2), pages 1-14, October.

  2. Naser, Hanan & Alaali, Fatema, 2015. "Can Oil Prices Help Predict US Stock Market Returns: An Evidence Using a DMA Approach," MPRA Paper 65295, University Library of Munich, Germany, revised 25 Jun 2015.

    Cited by:

    1. Dorra Zouari & Achraf Ghorbel & Sonia Ghorbel-Zouari & Younes Boujelbène, 2014. "Volatility spillovers and dynamic correlation between liquidity risk factors in Tunisian banks," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 6(1), pages 1-26.
    2. Nima Nonejad, 2020. "Does the price of crude oil help predict the conditional distribution of aggregate equity return?," Empirical Economics, Springer, vol. 58(1), pages 313-349, January.
    3. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, Open Access Journal, vol. 10(8), pages 1-27, August.
    4. Athambawa Jahfer & Abdul Hameed Mulafara, 2016. "Dividend policy and share price volatility: evidence from Colombo stock market," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 8(2), pages 97-108.

  3. Naser, Hanan, 2014. "On the cointegration and causality between Oil market, Nuclear Energy Consumption, and Economic Growth: Evidence from Developed Countries," MPRA Paper 65252, University Library of Munich, Germany, revised 25 Mar 2015.

    Cited by:

    1. Akadiri, Ada Chigozie & Akadiri, Seyi Saint & Gungor, Hasan, 2019. "The role of natural gas consumption in Saudi Arabia's output and its implication for trade and environmental quality," Energy Policy, Elsevier, vol. 129(C), pages 230-238.

Articles

  1. Hanan Naser, 2017. "Can Gold Investments Provide a Good Hedge Against Inflation? An Empirical Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 470-475.

    Cited by:

    1. Hanan Naser, 2019. "Oil Price Fluctuation, Gold Returns and Inflationary Pressure: An Empirical Analysis Using Cointegration Approach," Applied Economics and Finance, Redfame publishing, vol. 6(2), pages 71-78, March.
    2. Memet Agustiar & Fariastuti Djafar & Afrizal, 2017. "Construction of an Optimum Currency Area Index Anchored to the Gold Dinar: The Case of Selected Islamic Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 51-56.

  2. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.

    Cited by:

    1. Dong, Xiyong & Yoon, Seong-Min, 2019. "What global economic factors drive emerging Asian stock market returns? Evidence from a dynamic model averaging approach," Economic Modelling, Elsevier, vol. 77(C), pages 204-215.
    2. Jan Prüser, 2019. "Adaptive learning from model space," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(1), pages 29-38, January.
    3. He, Shanshan & Wang, Yudong, 2017. "Revisiting the multifractality in stock returns and its modeling implications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 11-20.
    4. Zhao, Yang & Li, Jianping & Yu, Lean, 2017. "A deep learning ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, vol. 66(C), pages 9-16.
    5. Krzysztof Drachal, 2018. "Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework," Energies, MDPI, Open Access Journal, vol. 11(5), pages 1-24, May.
    6. Li, Jingjing & Tang, Ling & Wang, Shouyang, 2020. "Forecasting crude oil price with multilingual search engine data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    7. Lu-Tao Zhao & Guan-Rong Zeng & Wen-Jing Wang & Zhi-Gang Zhang, 2019. "Forecasting Oil Price Using Web-based Sentiment Analysis," Energies, MDPI, Open Access Journal, vol. 12(22), pages 1-18, November.
    8. Zhang, Yaojie & Ma, Feng & Shi, Benshan & Huang, Dengshi, 2018. "Forecasting the prices of crude oil: An iterated combination approach," Energy Economics, Elsevier, vol. 70(C), pages 472-483.
    9. Liu, Jing & Wei, Yu & Ma, Feng & Wahab, M.I.M., 2017. "Forecasting the realized range-based volatility using dynamic model averaging approach," Economic Modelling, Elsevier, vol. 61(C), pages 12-26.
    10. Zhao, Lu-Tao & Wang, Yi & Guo, Shi-Qiu & Zeng, Guan-Rong, 2018. "A novel method based on numerical fitting for oil price trend forecasting," Applied Energy, Elsevier, vol. 220(C), pages 154-163.
    11. Drachal, Krzysztof, 2018. "Comparison between Bayesian and information-theoretic model averaging: Fossil fuels prices example," Energy Economics, Elsevier, vol. 74(C), pages 208-251.
    12. Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
    13. Wang, TianTian & Zhang, Dayong & Clive Broadstock, David, 2019. "Financialization, fundamentals, and the time-varying determinants of US natural gas prices," Energy Economics, Elsevier, vol. 80(C), pages 707-719.
    14. Hanan Naser & Fatema Alaali, 2018. "Can oil prices help predict US stock market returns? Evidence using a dynamic model averaging (DMA) approach," Empirical Economics, Springer, vol. 55(4), pages 1757-1777, December.
    15. Degiannakis, Stavros & Filis, George, 2020. "Oil price assumptions for macroeconomic policy," MPRA Paper 100705, University Library of Munich, Germany.
    16. Lu, Quanying & Li, Yuze & Chai, Jian & Wang, Shouyang, 2020. "Crude oil price analysis and forecasting: A perspective of “new triangle”," Energy Economics, Elsevier, vol. 87(C).
    17. Lu-Tao Zhao & Shun-Gang Wang & Zhi-Gang Zhang, 2020. "Oil Price Forecasting Using a Time-Varying Approach," Energies, MDPI, Open Access Journal, vol. 13(6), pages 1-16, March.
    18. 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.
    19. Raymond Swaray & Afees A. Salisu, 2017. "The impact of crude oil prices on stock prices of oil firms: Should upstream-downstream dichotomy in supply chain be ignored?," Working Papers 021, Centre for Econometric and Allied Research, University of Ibadan.
    20. Xuluo Yin & Jiangang Peng & Tian Tang, 2018. "Improving the Forecasting Accuracy of Crude Oil Prices," Sustainability, MDPI, Open Access Journal, vol. 10(2), pages 1-9, February.
    21. 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).
    22. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2017. "Forecasting the real prices of crude oil using forecast combinations over time-varying parameter models," Energy Economics, Elsevier, vol. 66(C), pages 337-348.
    23. Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
    24. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil prices," MPRA Paper 77531, University Library of Munich, Germany.
    25. Hao, Xianfeng & Zhao, Yuyang & Wang, Yudong, 2020. "Forecasting the real prices of crude oil using robust regression models with regularization constraints," Energy Economics, Elsevier, vol. 86(C).
    26. Krüger, Jens & Ruths Sion, Sebastian, 2019. "Improving oil price forecasts by sparse VAR methods," Darmstadt Discussion Papers in Economics 237, Darmstadt University of Technology, Department of Law and Economics.
    27. Wang, Qiang & Li, Shuyu & Li, Rongrong, 2018. "China's dependency on foreign oil will exceed 80% by 2030: Developing a novel NMGM-ARIMA to forecast China's foreign oil dependence from two dimensions," Energy, Elsevier, vol. 163(C), pages 151-167.
    28. Duangnate, Kannika & Mjelde, James W., 2017. "Comparison of data-rich and small-scale data time series models generating probabilistic forecasts: An application to U.S. natural gas gross withdrawals," Energy Economics, Elsevier, vol. 65(C), pages 411-423.
    29. Bekiroglu, Korkut & Duru, Okan & Gulay, Emrah & Su, Rong & Lagoa, Constantino, 2018. "Predictive analytics of crude oil prices by utilizing the intelligent model search engine," Applied Energy, Elsevier, vol. 228(C), pages 2387-2397.
    30. Yingrui Zhou & Taiyong Li & Jiayi Shi & Zijie Qian, 2019. "A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices," Complexity, Hindawi, vol. 2019, pages 1-15, February.
    31. Wang, Jue & Zhou, Hao & Hong, Tao & Li, Xiang & Wang, Shouyang, 2020. "A multi-granularity heterogeneous combination approach to crude oil price forecasting," Energy Economics, Elsevier, vol. 91(C).
    32. Chai, Jian & Xing, Li-Min & Zhou, Xiao-Yang & Zhang, Zhe George & Li, Jie-Xun, 2018. "Forecasting the WTI crude oil price by a hybrid-refined method," Energy Economics, Elsevier, vol. 71(C), pages 114-127.
    33. E, Jianwei & Bao, Yanling & Ye, Jimin, 2017. "Crude oil price analysis and forecasting based on variational mode decomposition and independent component analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 412-427.
    34. 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, Open Access Journal, vol. 12(19), pages 1-25, September.
    35. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, Open Access Journal, vol. 10(8), pages 1-27, August.
    36. Zhaojie Luo & Xiaojing Cai & Katsuyuki Tanaka & Tetsuya Takiguchi & Takuji Kinkyo & Shigeyuki Hamori, 2019. "Can We Forecast Daily Oil Futures Prices? Experimental Evidence from Convolutional Neural Networks," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(1), pages 1-13, January.
    37. 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.
    38. Degiannakis, Stavros & Filis, George, 2018. "Forecasting oil prices: High-frequency financial data are indeed useful," Energy Economics, Elsevier, vol. 76(C), pages 388-402.
    39. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    40. Gao, Xiangyun & Fang, Wei & An, Feng & Wang, Yue, 2017. "Detecting method for crude oil price fluctuation mechanism under different periodic time series," Applied Energy, Elsevier, vol. 192(C), pages 201-212.
    41. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

  3. Hanan Naser, 2015. "Can Nuclear Energy Stimulates Economic Growth? Evidence from Highly Industrialised Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 164-173.

    Cited by:

    1. Naser, Hanan, 2015. "Analysing the long-run relationship among oil market, nuclear energy consumption, and economic growth: An evidence from emerging economies," Energy, Elsevier, vol. 89(C), pages 421-434.
    2. Hazuki Ishida, 2018. "Can Nuclear Energy Contribute to the Transition Toward a Low-carbon Economy? The Japanese Case," International Journal of Energy Economics and Policy, Econjournals, vol. 8(1), pages 62-68.
    3. Sergey Kashurnikov & Valeriy Prasolov & Vladimir Gorbanyov & Rodion Rogulin, 2020. "Nuclear Power Production: The Future or the Past?," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 131-141.
    4. Naser, Hanan, 2014. "On the cointegration and causality between Oil market, Nuclear Energy Consumption, and Economic Growth: Evidence from Developed Countries," MPRA Paper 65252, University Library of Munich, Germany, revised 25 Mar 2015.
    5. Ben-Salha, Ousama & Hkiri, Besma & Aloui, Chaker, 2018. "Sectoral energy consumption by source and output in the U.S.: New evidence from wavelet-based approach," Energy Economics, Elsevier, vol. 72(C), pages 75-96.

  4. Naser, Hanan, 2015. "Analysing the long-run relationship among oil market, nuclear energy consumption, and economic growth: An evidence from emerging economies," Energy, Elsevier, vol. 89(C), pages 421-434.

    Cited by:

    1. Buhari DOĞAN & Osman DEĞER, 2018. "The role of economic growth and energy consumption on CO2 emissions in E7 countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(615), S), pages 231-246, Summer.
    2. Bakirtas, Tahsin & Akpolat, Ahmet Gokce, 2018. "The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries," Energy, Elsevier, vol. 147(C), pages 110-121.
    3. Sagaert, Yves R. & Aghezzaf, El-Houssaine & Kourentzes, Nikolaos & Desmet, Bram, 2018. "Tactical sales forecasting using a very large set of macroeconomic indicators," European Journal of Operational Research, Elsevier, vol. 264(2), pages 558-569.
    4. Cheng, Yuk-Shing & Li, Raymond & Woo, Chi-Keung, 2021. "Regional energy-growth nexus and energy conservation policy in China," Energy, Elsevier, vol. 217(C).
    5. Adewuyi, Adeolu O. & Awodumi, Olabanji B., 2017. "Biomass energy consumption, economic growth and carbon emissions: Fresh evidence from West Africa using a simultaneous equation model," Energy, Elsevier, vol. 119(C), pages 453-471.
    6. Yvonne Gwenhure & Nicholas Odhiambo, 2015. "Energy consumption and growth: a review of international empirical literature," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(3), pages 47-70.
    7. Hsiao, Cody Yu-Ling & Chen, Hsing Hung, 2018. "The contagious effects on economic development after resuming construction policy for nuclear power plants in Coastal China," Energy, Elsevier, vol. 152(C), pages 291-302.
    8. Wei, Yanfeng & Guo, Xiaoying, 2017. "Oil price shocks and China's stock market," Energy, Elsevier, vol. 140(P1), pages 185-197.
    9. Buhari DOĞAN & Osman DEĞER, 2018. "The Energy Consumption and Economic Growth in the E7 Countries: Cointegration in Panel Data with Structural Breaks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 63-75, December.
    10. Gong, Xu & Lin, Boqiang, 2018. "Time-varying effects of oil supply and demand shocks on China's macro-economy," Energy, Elsevier, vol. 149(C), pages 424-437.
    11. Kourtzidis, Stavros A. & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2018. "Re-evaluating the energy consumption-economic growth nexus for the United States: An asymmetric threshold cointegration analysis," Energy, Elsevier, vol. 148(C), pages 537-545.

  5. Hanan Naser, 2015. "Estimating and forecasting Bahrain quarterly GDP growth using simple regression and factor-based methods," Empirical Economics, Springer, vol. 49(2), pages 449-479, September.

    Cited by:

    1. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.

  6. Hanan Naser, 2014. "Oil Market, Nuclear Energy Consumption and Economic Growth: Evidence from Emerging Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 288-296.

    Cited by:

    1. Naser, Hanan, 2015. "Analysing the long-run relationship among oil market, nuclear energy consumption, and economic growth: An evidence from emerging economies," Energy, Elsevier, vol. 89(C), pages 421-434.
    2. Man-Keun Kim & Kangil Lee, 2015. "Dynamic Interactions between Carbon and Energy Prices in the U.S. Regional Greenhouse Gas Initiative," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 494-501.
    3. Hanan Naser, 2015. "Can Nuclear Energy Stimulates Economic Growth? Evidence from Highly Industrialised Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 164-173.
    4. Naser, Hanan, 2014. "On the cointegration and causality between Oil market, Nuclear Energy Consumption, and Economic Growth: Evidence from Developed Countries," MPRA Paper 65252, University Library of Munich, Germany, revised 25 Mar 2015.
    5. Sheilla Nyasha & Yvonne Gwenhure & Nicholas M Odhiambo, 2018. "Energy consumption and economic growth in Ethiopia: A dynamic causal linkage," Energy & Environment, , vol. 29(8), pages 1393-1412, December.
    6. Tomas Vlcek & Martin Jirusek & James Henderson, 2015. "Risk Assessment in Construction Process in Nuclear Sector within the Central and Eastern Europe," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 482-493.
    7. José Alberto Fuinhas & António Cardoso Marques & Alcino Pinto Couto, 2015. "Oil-Growth Nexus in Oil Producing Countries: Macro Panel Evidence," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 148-163.

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 3 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-ENE: Energy Economics (3) 2015-07-04 2015-07-11 2017-04-02. Author is listed
  2. NEP-CIS: Confederation of Independent States (1) 2017-04-02. Author is listed
  3. NEP-FMK: Financial Markets (1) 2015-07-04. Author is listed
  4. NEP-FOR: Forecasting (1) 2015-07-04. Author is listed
  5. NEP-GRO: Economic Growth (1) 2015-07-11. Author is listed
  6. NEP-ORE: Operations Research (1) 2015-07-04. Author is listed

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