IDEAS home Printed from https://ideas.repec.org/a/wsi/gejxxx/v19y2019i03ns2194565919500179.html
   My bibliography  Save this article

Return And Volatility Spillover Effects In Leading Cryptocurrencies

Author

Listed:
  • SRINIVASAN PALAMALAI

    (School of Management (SOM), Presidency University, Rajanakunte, Yelahanka, Bangalore, Karnataka, India)

  • BIPASHA MAITY

    (School of Management (SOM), Presidency University, Rajanakunte, Yelahanka, Bangalore, Karnataka, India)

Abstract

As Cryptocurrencies are emerging as a new class of investment assets, understanding their price and volatility dynamics has begun to gather momentum, especially the volatility can influence investment decisions. Most of previous literature concentrates primarily on several aspects of Bitcoin and endeavoring to generalize them for the whole cryptocurrency markets. In this study, we attempted to examine the return and volatility spillover effects across a wide range of cryptocurrency markets, i.e. eight major cryptocurrencies (determined by market capitalization) using a Vector Error Correction approach and Diagonal BEKK Multivariate GARCH model. We found the evidence of interdependencies and volatility co-movements among the various pairs of cryptocurrency markets. However, the study suggests that there exists a limited window of opportunity for the short-term portfolio diversification benefits from the selected large-cap cryptocurrency markets.

Suggested Citation

  • Srinivasan Palamalai & Bipasha Maity, 2019. "Return And Volatility Spillover Effects In Leading Cryptocurrencies," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-20, September.
    • Handle: RePEc:wsi:gejxxx:v:19:y:2019:i:03:n:s2194565919500179
    DOI: 10.1142/S2194565919500179
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2194565919500179
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S2194565919500179?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Samia Nasreen & Aviral Kumar Tiwari & Seong-Min Yoon, 2021. "Dynamic Connectedness and Portfolio Diversification during the Coronavirus Disease 2019 Pandemic: Evidence from the Cryptocurrency Market," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    2. Guo, Li & Sang, Bo & Tu, Jun & Wang, Yu, 2024. "Cross-cryptocurrency return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 163(C).
    3. Tuğba Güz & İlayda İsabetli Fidan, 2022. "The Characteristics of Cryptocurrency Market Volatility: Empirical Study For Five Cryptocurrency," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(2), pages 69-84, December.
    4. Jia, Yuecheng & Wu, Yangru & Yan, Shu & Liu, Yuzheng, 2023. "A seesaw effect in the cryptocurrency market: Understanding the return cross predictability of cryptocurrencies," Journal of Empirical Finance, Elsevier, vol. 74(C).
    5. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.

    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:wsi:gejxxx:v:19:y:2019:i:03:n:s2194565919500179. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Tai Tone Lim (email available below). General contact details of provider: https://www.worldscientific.com/worldscinet/gej .

    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.