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Cited by 624

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Dynamic connectedness and integration in cryptocurrency markets

Open access
Ji, Qiang, Bouri, Elie, Lau, Chi Keung Marco, Roubaud, David·2019·International Review of Financial Analysis

Abstract

Abstract This study applies a set of measures developed by Diebold and Yilmaz (2012, 2016) to examine connectedness via return and volatility spillovers across six large cryptocurrencies from August 7, 2015 to February 22, 2018. Regardless of the sign of returns, the results show that Litecoin and Bitcoin are at the centre of the connected network of returns. This finding implies that return shocks arising from these two cryptocurrencies have the most effect on other cryptocurrencies. Further analysis shows that connectedness via negative returns is largely stronger than via positive ones. Ripple and Ethereum are the top recipients of negative-return shocks, whereas Ethereum and Dash exhibit very weak connectedness via positive returns. Regarding volatility spillovers, Bitcoin is the most influential, followed by Litecoin; Dash exhibits a very weak connectedness, suggesting its utility for hedging and diversification opportunities in the cryptocurrency market. Taken together, results imply that the importance of each cryptocurrency in return and volatility connectedness is not necessarily related to its market size. Further analyses reveal that trading volume and global financial and uncertainty effects as well as the investment-substitution effect are determinants of net directional spillovers. Interestingly, higher gold prices and US uncertainty increase the net directional negative-return spillovers, whereas they do the opposite for net directional positive-return spillovers. Furthermore, gold prices exhibit a negative sign for net directional-volatility spillovers, whereas US uncertainty shows a positive sign. Economic actors interested in the cryptocurrency market can build on our findings when weighing their decisions.

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Show all 35 references

Research works printed but not linked: 6

  1. Apergis, 2017, Good volatility, bad volatility: What drives the asymmetric connectedness of Australian electricity markets?, Energy Economics, 66, 108, 10.1016/j.eneco.2017.06.010 · doi:10.1016/j.eneco.2017.06.010
  2. Candelon, 2018, Global financial interconnectedness: A non-linear assessment of the uncertainty channel, 10.2139/ssrn.3123077 · doi:10.2139/ssrn.3123077
  3. Fowowe, 2016, Dynamic spillovers between Nigerian, South African and international equity markets, International Economics, 148, 59, 10.1016/j.inteco.2016.06.003 · doi:10.1016/j.inteco.2016.06.003
  4. Gajardo, 2018, Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?, Chaos, Solitons & Fractals, 109, 195, 10.1016/j.chaos.2018.02.029 · doi:10.1016/j.chaos.2018.02.029
  5. Ji, 2018, Information spillovers and connectedness networks in the oil and gas markets, Energy Economics, 75, 71, 10.1016/j.eneco.2018.08.013 · doi:10.1016/j.eneco.2018.08.013
  6. Louzis, 2015, Measuring spillover effects in Euro area financial markets: A disaggregate approach, Empirical Economics, 49, 1367, 10.1007/s00181-014-0911-x · doi:10.1007/s00181-014-0911-x

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Metadata

Authors
Ji, Q., Bouri, E., Lau, C. K. M., & Roubaud, D.
Venue
International Review of Financial Analysis
Publisher
Elsevier BV
Published
2019-05
Volume
63
Pages
257-272
ISSN
1057-5219 (ISSN-L)
OpenAlex
W2905582627
Cited by
624
References
35
FWCI
60.20
Type
journal article
Language
en
Open access
green
Funders
  • National Natural Science Foundation of China (71774152, 91546109)
  • Youth Innovation Promotion Association of the Chinese Academy of Sciences (Y7X0231505)

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CoChat. (2026). Citation check: Dynamic connectedness and integration in cryptocurrency markets. https://app.cochat.ai/papers/10.1016/j.irfa.2018.12.002
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Ji, Q., Bouri, E., Lau, C. K. M., & Roubaud, D. (2019). Dynamic connectedness and integration in cryptocurrency markets. International Review of Financial Analysis. https://doi.org/10.1016/j.irfa.2018.12.002

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