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Islam Rizvanoghlu

Personal Details

First Name:Islam
Middle Name:
Last Name:Rizvanoghlu
Suffix:
RePEc Short-ID:pri270
https://sites.google.com/site/rizvanoghlu/
Terminal Degree:2012 Department of Economics; Rice University (from RePEc Genealogy)

Affiliation

Department of Economics
University of Houston

Houston, Texas (United States)
http://www.uh.edu/class/economics/
RePEc:edi:decuhus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Bulut, Levent & Rizvanoghlu, Islam, 2019. "Is Gold a Safe Haven? International Evidence revisited," MPRA Paper 91957, University Library of Munich, Germany.
  2. Rizvanoghlu, Islam, 2011. "Oil Price Shocks and Macroeconomy: The Role for Precautionary Demand and Storage," MPRA Paper 42351, University Library of Munich, Germany, revised 01 Jun 2012.

Articles

  1. Issabayev, Murat & Rizvanoghlu, Islam, 2019. "Optimal choice between local content requirement and fiscal policy in extractive industries: A theoretical analysis," Resources Policy, Elsevier, vol. 60(C), pages 1-8.
  2. Islam Rizvanoghlu, 2016. "Comment on: “Optimal dynamic production from a large oil field in Saudi Arabia”," Empirical Economics, Springer, vol. 51(3), pages 1281-1288, November.
  3. Ergen, Ibrahim & Rizvanoghlu, Islam, 2016. "Asymmetric impacts of fundamentals on the natural gas futures volatility: An augmented GARCH approach," Energy Economics, Elsevier, vol. 56(C), pages 64-74.

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. Bulut, Levent & Rizvanoghlu, Islam, 2019. "Is Gold a Safe Haven? International Evidence revisited," MPRA Paper 91957, University Library of Munich, Germany.

    Cited by:

    1. Wei Huang & Meng-Shiuh Chang, 2021. "Gold and Government Bonds as Safe-Haven Assets Against Stock Market Turbulence in China," SAGE Open, , vol. 11(1), pages 21582440219, January.

Articles

  1. Issabayev, Murat & Rizvanoghlu, Islam, 2019. "Optimal choice between local content requirement and fiscal policy in extractive industries: A theoretical analysis," Resources Policy, Elsevier, vol. 60(C), pages 1-8.

    Cited by:

    1. Angelo Antoci & Paolo Russu & Elisa Ticci, 2019. "Mining and Local Economies: Dilemma between Environmental Protection and Job Opportunities," Sustainability, MDPI, vol. 11(22), pages 1-21, November.
    2. Weldegiorgis, Fitsum S. & Dietsche, Evelyn & Franks, Daniel M., 2021. "Building mining's economic linkages: A critical review of local content policy theory," Resources Policy, Elsevier, vol. 74(C).
    3. Issabayev, Murat & Pelzman, Joseph, 2019. "A model of FDI spillover in a natural resource rich LDC," Resources Policy, Elsevier, vol. 64(C).
    4. Zhu, Jun & Zhang, Linling, 2022. "Evolutionary game analysis of the implementation of fiscal policy in resource-based cities," Resources Policy, Elsevier, vol. 76(C).
    5. Wilhelm, Cindy & Maconachie, Roy, 2021. "Exploring local content in Guinea's bauxite sector: Obstacles, opportunities and future trajectories," Resources Policy, Elsevier, vol. 71(C).
    6. Kalyuzhnova, Yelena & Azhgaliyeva, Dina & Belitski, Maksim, 2022. "Public Policy Instruments for Procurement: An Empirical Analysis," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Feng, Nan & Ge, Jiamin, 2024. "How does fiscal policy affect the green low-carbon transition from the perspective of the evolutionary game?," Energy Economics, Elsevier, vol. 134(C).

  2. Ergen, Ibrahim & Rizvanoghlu, Islam, 2016. "Asymmetric impacts of fundamentals on the natural gas futures volatility: An augmented GARCH approach," Energy Economics, Elsevier, vol. 56(C), pages 64-74.

    Cited by:

    1. Kannika Duangnate & James W. Mjelde, 2020. "Prequential forecasting in the presence of structure breaks in natural gas spot markets," Empirical Economics, Springer, vol. 59(5), pages 2363-2384, November.
    2. Christian Urom & Gideon Ndubuisi & Jude Ozor, 2021. "Economic activity, and financial and commodity markets’ shocks: An analysis of implied volatility indexes," International Economics, CEPII research center, issue 165, pages 51-66.
    3. Urom, Christian & Ndubuisi, Gideon & Ozor, Jude, 2021. "Economic activity, and financial and commodity markets’ shocks: An analysis of implied volatility indexes," International Economics, Elsevier, vol. 165(C), pages 51-66.
    4. Sherzod N. Tashpulatov, 2021. "Modeling and Estimating Volatility of Day-Ahead Electricity Prices," Mathematics, MDPI, vol. 9(7), pages 1-11, March.
    5. Peng-Fei Dai & Xiong Xiong & Wei-Xing Zhou, 2020. "The role of global economic policy uncertainty in predicting crude oil futures volatility: Evidence from a two-factor GARCH-MIDAS model," Papers 2007.12838, arXiv.org.
    6. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled, 2022. "How do financial and commodity markets volatility react to real economic activity?," Finance Research Letters, Elsevier, vol. 47(PB).
    8. Yanting Chen & Peter R. Hartley & Yihui Lan, 2023. "Temperature, storage, and natural gas futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 549-575, April.
    9. Hailemariam, Abebe & Smyth, Russell, 2019. "What drives volatility in natural gas prices?," Energy Economics, Elsevier, vol. 80(C), pages 731-742.
    10. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    11. Sherzod N. Tashpulatov, 2022. "Modeling Electricity Price Dynamics Using Flexible Distributions," Mathematics, MDPI, vol. 10(10), pages 1-15, May.
    12. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    13. Luo, Keyu & Guo, Qiang & Li, Xiafei, 2022. "Can the return connectedness indices from grey energy to natural gas help to forecast the natural gas returns?," Energy Economics, Elsevier, vol. 109(C).
    14. Khalfaoui, Rabeh & Goodell, John W. & Mefteh-Wali, Salma & Chishti, Muhammad Zubair & Gozgor, Giray, 2024. "Impact of climate risk shocks on global food and agricultural markets: A multiscale and tail connectedness analysis," International Review of Financial Analysis, Elsevier, vol. 93(C).
    15. Huang, Zhouchun & Zheng, Qipeng Phil, 2020. "A multistage stochastic programming approach for preventive maintenance scheduling of GENCOs with natural gas contract," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1036-1051.
    16. Chao Liang & Feng Ma & Lu Wang & Qing Zeng, 2021. "The information content of uncertainty indices for natural gas futures volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1310-1324, November.
    17. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2023. "Natural gas and the utility sector nexus in the U.S.: Quantile connectedness and portfolio implications," Energy Economics, Elsevier, vol. 120(C).
    18. Sherzod N. Tashpulatov, 2021. "The Impact of Regulatory Reforms on Demand Weighted Average Prices," Mathematics, MDPI, vol. 9(10), pages 1-15, May.
    19. Gong, Xue & Ye, Xin & Zhang, Weiguo & Zhang, Yue, 2023. "Predicting energy futures high-frequency volatility using technical indicators: The role of interaction," Energy Economics, Elsevier, vol. 119(C).
    20. Kshitij Sharma & Yogesh K. Dwivedi & Bhimaraya Metri, 2024. "Incorporating causality in energy consumption forecasting using deep neural networks," Annals of Operations Research, Springer, vol. 339(1), pages 537-572, August.

More information

Research fields, statistics, top rankings, if available.

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 2 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 (1) 2012-11-24
  2. NEP-FMK: Financial Markets (1) 2019-02-25
  3. NEP-ISF: Islamic Finance (1) 2019-02-25
  4. NEP-MAC: Macroeconomics (1) 2012-11-24

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