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Joanna Górka
(Joanna Gorka)

Personal Details

First Name:Joanna
Middle Name:
Last Name:Gorka
Suffix:
RePEc Short-ID:pgo445
[This author has chosen not to make the email address public]

Affiliation

Wydział Nauk Ekonomicznych i Zarządzania
Uniwersytet Mikolaja Kopernika w Toruniu

Toruń, Poland
http://www.econ.uni.torun.pl/
RePEc:edi:wntorpl (more details at EDIRC)

Research output

as
Jump to: Articles Chapters

Articles

  1. Joanna Górka & Katarzyna Kuziak, 2024. "Dynamic Connectedness Among Alternative and Conventional Energy ETFs Based on the TVP-VAR Approach," Energies, MDPI, vol. 17(23), pages 1-29, November.
  2. Będowska-Sójka, Barbara & Górka, Joanna & Hemmings, Danial & Zaremba, Adam, 2024. "Uncertainty and cryptocurrency returns: A lesson from turbulent times," International Review of Financial Analysis, Elsevier, vol. 94(C).
  3. Katarzyna Kuziak & Joanna Górka, 2023. "Dependence Analysis for the Energy Sector Based on Energy ETFs," Energies, MDPI, vol. 16(3), pages 1-30, January.
  4. Będowska-Sójka, Barbara & Górka, Joanna, 2022. "The lithium and oil markets – dependencies and volatility spillovers," Resources Policy, Elsevier, vol. 78(C).
  5. Joanna Górka & Katarzyna Kuziak, 2022. "Volatility Modeling and Dependence Structure of ESG and Conventional Investments," Risks, MDPI, vol. 10(1), pages 1-25, January.
  6. Jolanta Wisniewska & Joanna Gorka, 2021. "A Model on the Decision to Conduct Independent Verification of CSR Data: The Case of Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 189-212.
  7. Jolanta Wisniewska & Joanna Gorka, 2021. "A Model on the Decision to Conduct Independent Verification of CSR Data: The Case of Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(2 - Part ), pages 189-212.
  8. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.
  9. Aldona Glińska-Neweś & Joanna Górka, 2020. "Capabilities of Corporate Volunteering in Strengthening Social Capital," Sustainability, MDPI, vol. 12(18), pages 1-11, September.
  10. Joanna Górka, 2014. "Option Pricing under Sign RCA-GARCH Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 145-160.
  11. Joanna Górka, 2012. "The Formula of Unconditional Kurtosis of Sign-Switching GARCH(p,q,1) Processes," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 12, pages 105-110.
  12. Joanna Górka, 2010. "The Sign RCA Models: Comparing Predictive Accuracy of VaR Measures," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 10, pages 61-80.
  13. Joanna Górka, 2009. "Application of the Family of Sign RCA Models for Obtaining the Selected Risk Measures," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 39-50.
  14. Joanna Gorka, 2009. "Forecast properties of family rca models," Acta Universitatis Nicolai Copernici, Ekonomia, Uniwersytet Mikolaja Kopernika, vol. 40, pages 75-86.
  15. Joanna Górka, 2008. "Description of the Kurtosis of Distributions by Selected Models with Sign Function," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 119-128.
  16. Magdalena Osinska & Joanna Górka, 2006. "Identification of Non-linearity in Economic Time Series," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 83-92.
  17. Joanna Górka & Joanna Stempinska, 2004. "Heteroskedastic Cointegration," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 6, pages 213-220.

Chapters

  1. Waldemar Glabiszewski & Agata Sudolska & Joanna Górka & Angelika Pańka, 2020. "Financial Services Companies’ Abilities to Collaborative Technology Absorption Versus Their Innovativeness," Springer Proceedings in Business and Economics, in: Agnieszka Zakrzewska-Bielawska & Iwona Staniec (ed.), Contemporary Challenges in Cooperation and Coopetition in the Age of Industry 4.0, chapter 0, pages 225-241, Springer.

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.

Articles

  1. Będowska-Sójka, Barbara & Górka, Joanna & Hemmings, Danial & Zaremba, Adam, 2024. "Uncertainty and cryptocurrency returns: A lesson from turbulent times," International Review of Financial Analysis, Elsevier, vol. 94(C).

    Cited by:

    1. Kliber, Agata & Będowska-Sójka, Barbara, 2024. "Proof-of-work versus proof-of-stake coins as possible hedges against green and dirty energy," Energy Economics, Elsevier, vol. 138(C).

  2. Katarzyna Kuziak & Joanna Górka, 2023. "Dependence Analysis for the Energy Sector Based on Energy ETFs," Energies, MDPI, vol. 16(3), pages 1-30, January.

    Cited by:

    1. Joanna Górka & Katarzyna Kuziak, 2024. "Dynamic Connectedness Among Alternative and Conventional Energy ETFs Based on the TVP-VAR Approach," Energies, MDPI, vol. 17(23), pages 1-29, November.
    2. Sara Ali Alokley & Sawssen Araichi & Gadir Alomair, 2024. "Exploring the Relationship and Predictive Accuracy for the Tadawul All Share Index, Oil Prices, and Bitcoin Using Copulas and Machine Learning," Energies, MDPI, vol. 17(13), pages 1-19, July.

  3. Będowska-Sójka, Barbara & Górka, Joanna, 2022. "The lithium and oil markets – dependencies and volatility spillovers," Resources Policy, Elsevier, vol. 78(C).

    Cited by:

    1. Agnese, Pablo & Rios, Francisco, 2024. "Spillover effects of energy transition metals in Chile," Energy Economics, Elsevier, vol. 134(C).
    2. Zhang, Xiaojing & Chang, Hsu-Ling & Su, Chi-Wei & Qin, Meng & Umar, Muhammad, 2024. "Exploring the dynamic interaction between geopolitical risks and lithium prices: A time-varying analysis," Resources Policy, Elsevier, vol. 90(C).
    3. Ghosh, Bikramaditya & Pham, Linh & Gubareva, Mariya & Teplova, Tamara, 2023. "Energy transition metals and global sentiment: Evidence from extreme quantiles," Resources Policy, Elsevier, vol. 86(PA).
    4. Zargar, Faisal Nazir & Mohnot, Rajesh & Hamouda, Foued & Arfaoui, Nadia, 2024. "Risk dynamics in energy transition: Evaluating downside risks and interconnectedness in fossil fuel and renewable energy markets," Resources Policy, Elsevier, vol. 92(C).

  4. Joanna Górka & Katarzyna Kuziak, 2022. "Volatility Modeling and Dependence Structure of ESG and Conventional Investments," Risks, MDPI, vol. 10(1), pages 1-25, January.

    Cited by:

    1. Riccardo Savio & Edoardo D’Andrassi & Francesca Ventimiglia, 2023. "A Systematic Literature Review on ESG during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    2. Staněk Gyönyör, Lucie & Horváth, Matúš, 2024. "Does ESG affect stock market dependence? An empirical exploration of S&P 1200 companies shows the divergent nature of E–S–G pillars," Research in International Business and Finance, Elsevier, vol. 69(C).
    3. Hemendra Gupta & Rashmi Chaudhary, 2023. "An Analysis of Volatility and Risk-Adjusted Returns of ESG Indices in Developed and Emerging Economies," Risks, MDPI, vol. 11(10), pages 1-18, October.
    4. Hamzeh F. Assous, 2022. "Saudi Green Banks and Stock Return Volatility: GLE Algorithm and Neural Network Models," Economies, MDPI, vol. 10(10), pages 1-18, October.
    5. Shahzad, Umer & Ghaemi Asl, Mahdi & Khalfaoui, Rabeh & Tedeschi, Marco, 2024. "Extreme contributions of conventional investments vis-à-vis Islamic ones to renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).

  5. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.

    Cited by:

    1. Song, Yuegang & Wang, Ziqi & Song, Changqing & Wang, Jianhua & Liu, Rong, 2024. "Impact of artificial intelligence on renewable energy supply chain vulnerability: Evidence from 61 countries," Energy Economics, Elsevier, vol. 131(C).
    2. Kądzielawski Grzegorz, 2023. "The state of development of artificial intelligence in polish industry: opinions of employees," International Journal of Contemporary Management, Sciendo, vol. 59(1), pages 12-25, March.
    3. Rongbin Yang & Santoso Wibowo, 2022. "User trust in artificial intelligence: A comprehensive conceptual framework," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2053-2077, December.

Chapters

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