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Volatility and Liquidity in Cryptocurrency Markets—The Causality Approach
First Online: 07 May 2020
The dependency between volatility and liquidity is thoroughly examined in the contemporary literature on the financial markets. Especially, on the stock markets, liquidity tends to evaporate when volatility increases. Still, very few papers examine such relationships within the cryptocurrency markets. In this paper, we verify whether the volatility and liquidity of cryptocurrencies are interrelated. Our sample consists of 12 highly capitalized and traded cryptocurrencies. We consider both daily and weekly liquidity measures and thus extend the set of proxies. In order to examine the dependency between cryptocurrencies, the causality approach is employed. We use an asymmetric causality test to separate the influence of growths and declines of volatility to the changes of liquidity direction and the other way around. Overall, the empirical results indicate, inter alia, that high volatility is a Granger cause to high liquidity, which means that high volatility attracts investors and induce higher interest in the new financial instruments.
This work was supported by the National Science Centre in Poland under grant no. UMO-2017/25/B/HS4/01546 as well as by the grant of Poznan University of Economics and Business: “The Future of money—cryptocurrencies, local currencies and cashless society”. We would like to thank prof. Bogdan Włodarczyk and other participants of the international conference WROFIN2019 in Wrocław for the fruitful discussion and inspiring comments, as well as the participants of the international conference ICOFEP2019 in Poznań. We also acknowledge the constructive feedback on the earlier versions of this paper from the participants at SEFIN seminar (https://sefin.ue.poznan.pl).
Abdi F, Ranaldo A (2017) A simple estimation of bid-ask spreads from daily close, high, and low prices. Rev Financ Stud 30:4437–4480CrossRefGoogle Scholar
Amihud Y (2002) Illiquidity and stock returns: cross-section and time-series effects. J Financ Mark 5:31–56. https://doi.org/10.1016/S1386-4181(01)00024-6CrossRefGoogle Scholar
Andersen TG, Bollerslev T, Diebold FX, Labys P (2003) Modeling and forecasting realized volatility. Econometrica 71:529–626CrossRefGoogle Scholar
Barndorff-Nielsen OE, Shephard N (2004) Power and bipower variation with stochastic volatility and jumps. J Financ Econometrics 2:1–48. https://doi.org/10.1093/jjfinec/nbh001CrossRefGoogle Scholar
Będowska-Sójka B (2019) The dynamics of low-frequency liquidity measures: the developed versus the emerging market. J Financ Stab 42:136–142. https://doi.org/10.1016/j.jfs.2019.05.006CrossRefGoogle Scholar
Będowska-Sójka B, Echaust K (2019) Commonality in liquidity indices: the emerging European stock markets. Systems 7:1–18. https://doi.org/10.3390/systems7020024CrossRefGoogle Scholar
Będowska-Sójka B, Kliber A (2019) The causality between liquidity and volatility in the Polish stock market. Financ Res Lett 30:110–115. https://doi.org/10.1016/j.frl.2019.04.008CrossRefGoogle Scholar
Bouri E, Azzi G, Dyhrberg AH (2017a) On the return-volatility relationship in the Bitcoin market around the price crash of 2013. Economics 11:1–17. https://doi.org/10.5018/economics-ejournal.ja.2017-2CrossRefGoogle Scholar
Bouri E, Molnár P, Azzi G et al (2017b) On the hedge and safe haven properties of Bitcoin: is it really more than a diversifier? Financ Res Lett 20:192–198. https://doi.org/10.1016/j.frl.2016.09.025CrossRefGoogle Scholar
Brauneis A, Mestel R (2018) Price discovery of cryptocurrencies: Bitcoin and beyond. Econ Lett 165:58–61. https://doi.org/10.1016/j.econlet.2018.02.001CrossRefGoogle Scholar
Chordia T, Sarkar A, Subrahmanyam A (2005) Joint dynamics of liquidity, returns and volatility across small and large firms. Staff Reports, Federal Reserve Bank, New YorkGoogle Scholar
Chung KH, Zhang H (2014) A simple approximation of intraday spreads using daily data. J Financ Mark 17:94–120. https://doi.org/10.1016/j.finmar.2013.02.004CrossRefGoogle Scholar
Corwin SA, Schultz P (2012) A simple way to estimate bid-ask spreads from daily high and low prices. J Finance 67:719–759. https://doi.org/10.1111/j.1540-6261.2012.01729.xCrossRefGoogle Scholar
Dyhrberg AH (2016) Bitcoin, gold and the dollar—a GARCH volatility analysis. Financ Res Lett 16:85–92. https://doi.org/10.1016/j.frl.2015.10.008CrossRefGoogle Scholar
Fong KYL, Holden CW, Trzcinka CA (2017) What are the best liquidity proxies for global research? Rev Financ 21(4):1355–1401. https://doi.org/10.1093/rof/rfx003
Garman M, Klass M (1980) On the estimation of security price volatilities from historical data. J Bus 53:67–78. https://doi.org/10.1086/296072CrossRefGoogle Scholar
Hatemi-J A (2012) Asymmetric causality tests with an application. Empirical Econ 43:447–456. https://doi.org/10.1007/s00181-011-0484-xCrossRefGoogle Scholar
Hiemstra C, Jones JD (1994) Testing for linear and nonlinear Granger causality in the stock price-volume relation. J Financ 49(5):1639–1664Google Scholar
Klein T, Pham Thu H, Walther T (2018) Bitcoin is not the new gold—a comparison of volatility, correlation, and portfolio performance. Int Rev Financ Anal 59:105–116. https://doi.org/10.1016/j.irfa.2018.07.010CrossRefGoogle Scholar
Kliber A (2018) Price, liquidity and information spillover within the cryptocurrency market. The case of bitfinex. Safe Bank 4:62–79. https://doi.org/10.26354/bb.126.96.36.1998CrossRefGoogle Scholar
Kliber A, Włosik K (2019) Isolated islands or communicating vessels? Bitcoin price and volume spillovers across cryptocurrency platforms. Financ a úvěr-Czech J Econ Financ 69:324–347Google Scholar
Kliber A, Marszałek P, Musiałkowska I, Świerczyńska K (2019) Bitcoin: safe haven, hedge or diversifier? Perception of bitcoin in the context of a country’s economic situation—a stochastic volatility approach. Phys A Stat Mech Appl 524:246–257. https://doi.org/10.1016/j.physa.2019.04.145CrossRefGoogle Scholar
Lesmond DA (2005) Liquidity of emerging markets. J Financ Econ 77:411–452. https://doi.org/10.1016/j.jfineco.2004.01.005CrossRefGoogle Scholar
Olbryś J (2018) Testing stability of correlations between liquidity proxies derived from intraday data on the warsaw stock exchange. In: Jajuga K, Locarek-Junge H, Orłowski L (eds) Contemporary trends and challenges in finance. Proceedings from the 3rd Wroclaw international conference in finance. Springer proceedings in business and economics. Springer, Cham, pp 67–79Google Scholar
Ong MA (2015) An information theoretic analysis of stock returns, volatility and trading volumes. Appl Econ 47:3891–3906. https://doi.org/10.1080/00036846.2015.1019040CrossRefGoogle Scholar
© Springer Nature Switzerland AG 2020
- Barbara Będowska-Sójka
- Tomasz Hinc
- Agata Kliber
- 1.Poznań University of Economics and BusinessPoznanPoland
- 2.OLX GroupPoznanPoland
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Author: AuthorsAuthors and affiliationsBarbara Będowska-SójkaTomasz HincAgata Kliber
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