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The asymmetric effect of bitcoin on altcoins: evidence from the nonlinear autoregressive distributed lag (NARDL) model

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  • Demir, Ender
  • Simonyan, Serdar
  • García-Gómez, Conrado-Diego
  • Lau, Chi Keung Marco

Abstract

This paper examines the asymmetric effect of Bitcoin on three altcoins, namely Ethereum (ETH), Ripple (XRP) and Litecoin (LTC) by using the Nonlinear Autoregressive Distributed Lag (NARDL) model for the period July 2015 to March 2019. We provide evidence on the asymmetric impact of Bitcoin on altcoins both in the short-run and in the long-run. In the short-run, a decrease in Bitcoin price has greater effect than an increase on the prices of altcoins. This asymmetry is more frequent after the 2017 cryptocurrency price crash.

Suggested Citation

  • Demir, Ender & Simonyan, Serdar & García-Gómez, Conrado-Diego & Lau, Chi Keung Marco, 2021. "The asymmetric effect of bitcoin on altcoins: evidence from the nonlinear autoregressive distributed lag (NARDL) model," Finance Research Letters, Elsevier, vol. 40(C).
    • Handle: RePEc:eee:finlet:v:40:y:2021:i:c:s1544612319310311
    DOI: 10.1016/j.frl.2020.101754
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    6. Lee, Seungju & Lee, Jaewook & Lee, Yunyoung, 2023. "Dissecting the Terra-LUNA crash: Evidence from the spillover effect and information flow," Finance Research Letters, Elsevier, vol. 53(C).
    7. Tang, Yumei & Chen, Xihui Haviour & Sarker, Provash Kumer & Baroudi, Sarra, 2023. "Asymmetric effects of geopolitical risks and uncertainties on green bond markets," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    8. Qin Meng & Jing-Wen Zhang & Yunxu Wang & Hsu-Ling Chang & Chi-Wei Su, 2023. "Green Household Technology and Its Impacts on Environmental Sustainability in China," Sustainability, MDPI, vol. 15(17), pages 1-13, August.
    9. Aimer, Najmi & Lusta, Abdulmula, 2022. "Asymmetric effects of oil shocks on economic policy uncertainty," Energy, Elsevier, vol. 241(C).
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    14. BRIK, Hatem & El OUAKDI, Jihene & FTITI, Zied, 2022. "Roles of stable versus nonstable cryptocurrencies in Bitcoin market dynamics," Research in International Business and Finance, Elsevier, vol. 62(C).
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    More about this item

    Keywords

    Bitcoin; Cryptocurrency; Asymmetry; Ethereum; Ripple; Litecoin; NARDL;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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