IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i1d10.1007_s11135-022-01356-2.html
   My bibliography  Save this article

Impacts of short and long-term between cryptocurrencies and stock exchange indexes

Author

Listed:
  • Viviane Senna

    (Federal University of Santa Maria – UFSM)

  • Adriano Mendonça Souza

    (Federal University of Santa Maria – UFSM)

Abstract

The Stock Exchanges are safe and organized markets for stock and bond trading, which aim to expand the capital of both publicly traded companies and investors. Since 2009, cryptocurrencies have been created, mostly decentralized, registered through blockchain and encryption, which can be a new form of investment and trading. The main purpose of this research is to determine the short and long-term relationships of the main indicators of twenty-one Stock Exchanges and three cryptocurrencies and verify their effects on the financial market. The defined methodology was the VAR/VEC Model that obtained as a result the causality between all the series, which are stationary in the first difference, the VAR indicated the short-term relationship, the cointegration indicated the order for the VEC application, which was explained with the help of IRF and the variance decomposition that indicated the long-term relationship between the series and the possibility of cryptocurrencies' influence in the Stock Exchange series. The Bitcoin cryptocurrency, after the shock's application, indicated to influence the Stock Exchanges for an average time of 16 periods, Litecoin for 15 periods, and Ripple for 16 periods. The time evaluated was 24 periods and proved to be sufficient for the study's definition.

Suggested Citation

  • Viviane Senna & Adriano Mendonça Souza, 2023. "Impacts of short and long-term between cryptocurrencies and stock exchange indexes," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 97-119, February.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:1:d:10.1007_s11135-022-01356-2
    DOI: 10.1007/s11135-022-01356-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01356-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-022-01356-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Le, TN-Lan & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar, 2021. "Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    2. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955, November.
    3. Urquhart, Andrew, 2017. "Price clustering in Bitcoin," Economics Letters, Elsevier, vol. 159(C), pages 145-148.
    4. Teh, Boon Kin & Goo, Yik Wen & Lian, Tong Wei & Ong, Wei Guang & Choi, Wen Ting & Damodaran, Mridula & Cheong, Siew Ann, 2015. "The Chinese Correction of February 2007: How financial hierarchies change in a market crash," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 225-241.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. de Senna, Viviane & Souza, Adriano Mendonça, 2016. "Assessment of the relationship of government spending on social assistance programs with Brazilian macroeconomic variables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 21-30.
    7. Klein, Tony & Pham Thu, Hien & Walther, Thomas, 2018. "Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 105-116.
    8. Kurka, Josef, 2019. "Do cryptocurrencies and traditional asset classes influence each other?," Finance Research Letters, Elsevier, vol. 31(C), pages 38-46.
    9. Obryan Poyser, 2019. "Exploring the dynamics of Bitcoin’s price: a Bayesian structural time series approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 29-60, March.
    10. Sejung Park & Han Woo Park, 2020. "Diffusion of cryptocurrencies: web traffic and social network attributes as indicators of cryptocurrency performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 297-314, February.
    11. Nazifi, Amin & Murdy, Samantha & Marder, Ben & Gäthke, Jana & Shabani, Bardia, 2021. "A Bit(coin) of happiness after a failure: An empirical examination of the effectiveness of cryptocurrencies as an innovative recovery tool," Journal of Business Research, Elsevier, vol. 124(C), pages 494-505.
    12. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    13. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    14. White, Reilly & Marinakis, Yorgos & Islam, Nazrul & Walsh, Steven, 2020. "Is Bitcoin a currency, a technology-based product, or something else?," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    15. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    16. Nicola Uras & Lodovica Marchesi & Michele Marchesi & Roberto Tonelli, 2020. "Forecasting Bitcoin closing price series using linear regression and neural networks models," Papers 2001.01127, arXiv.org.
    17. Panagiotidis, Theodore & Stengos, Thanasis & Vravosinos, Orestis, 2019. "The effects of markets, uncertainty and search intensity on bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 220-242.
    18. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2019. "Multifractal behavior of price and volume changes in the cryptocurrency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 54-61.
    19. Pritpal Singh BHULLAR & Dyal BHATNAGAR, 2020. "Bitcoins as a determinant of stock market movements: A comparison of Indian and Chinese Stock Markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(624), A), pages 193-202, Autumn.
    20. Baur, Dirk G. & Hong, KiHoon & Lee, Adrian D., 2018. "Bitcoin: Medium of exchange or speculative assets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 177-189.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhou, Kaile & Hu, Dingding & Li, Fangyi, 2022. "Impact of COVID-19 on private driving behavior: Evidence from electric vehicle charging data," Transport Policy, Elsevier, vol. 125(C), pages 164-178.
    2. Haffar, Adlane & Le Fur, Eric, 2021. "Structural vector error correction modelling of Bitcoin price," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 170-178.
    3. Xu, Haifeng & Hamori, Shigeyuki, 2012. "Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis," Journal of Asian Economics, Elsevier, vol. 23(4), pages 344-352.
    4. M. T. Alguacil & V. Orts, 2003. "Inward Foreign Direct Investment and Imports in Spain," International Economic Journal, Taylor & Francis Journals, vol. 17(3), pages 19-38.
    5. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    6. Johannes W. Fedderke, 2022. "Identifying supply and demand shocks in the South African Economy, 1960–2020," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 349-389, September.
    7. Panayiotis Diamandis & Georgios Kouretas, 1995. "Cointegration and market efficiency: a time series analysis of the Greek drachma," Applied Economics Letters, Taylor & Francis Journals, vol. 2(8), pages 271-277.
    8. Md. Habibur Rahman, 2009. "Relative Effectiveness of Monetary and Fiscal Policies on Output Growth in Bangladesh: A VAR Approach," Working Papers id:2100, eSocialSciences.
    9. Chu, Kam Hon, 2010. "Bank mergers, branch networks and economic growth: Theory and evidence from Canada, 1889-1926," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 265-283, March.
    10. Richard Tiffin & P. J. Dawson, 2002. "The Demand for Calories: Some Further Estimates from Zimbabwe," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(2), pages 221-232, July.
    11. Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
    12. Zhou, Kaile & Li, Yiwen, 2019. "Influencing factors and fluctuation characteristics of China’s carbon emission trading price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 459-474.
    13. Xiaojie Xu, 2017. "Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs," Empirical Economics, Springer, vol. 52(2), pages 731-758, March.
    14. Esposti, Roberto, 2002. "Public agricultural R&D design and technological spill-ins: A dynamic model," Research Policy, Elsevier, vol. 31(5), pages 693-717, July.
    15. Wang, Yizhi & Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa, 2022. "The Effects of Central Bank Digital Currencies News on Financial Markets," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    16. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "Exploring the transformation and upgrading of China’s economy using electricity consumption data: A VAR–VEC based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 144-155.
    17. Dizaji, Sajjad Faraji, 2014. "The effects of oil shocks on government expenditures and government revenues nexus (with an application to Iran's sanctions)," Economic Modelling, Elsevier, vol. 40(C), pages 299-313.
    18. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42, Edward Elgar Publishing.
    19. Michael S. Haigh & Nikos K. Nomikos & David A. Bessler, 2004. "Integration and Causality in International Freight Markets: Modeling with Error Correction and Directed Acyclic Graphs," Southern Economic Journal, John Wiley & Sons, vol. 71(1), pages 145-162, July.
    20. Maurizio Baussola, 2000. "The Causality Between R&D And Investment," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(4), pages 385-399.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:57:y:2023:i:1:d:10.1007_s11135-022-01356-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.