Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?

Adler, 1983, International portfolio choice and corporation finance: A synthesis, The Journal of Finance, 38, 925, 10.1111/j.1540-6261.1983.tb02511.x

Antonakakis, 2012, Exchange return co-movements and volatility spillovers before and after the introduction of euro, Journal of International Financial Markets, Institutions and Money, 22, 1091, 10.1016/j.intfin.2012.05.009

Antonakakis, 2017, Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest, International Review of Financial Analysis, 50, 1, 10.1016/j.irfa.2017.01.004

Antonakakis, 2015, Dynamic spillovers between commodity and currency markets, International Review of Financial Analysis, 41, 303, 10.1016/j.irfa.2015.01.016

Baruník, 2017, Asymmetric volatility connectedness on the forex market, Journal of International Money and Finance, 77, 39, 10.1016/j.jimonfin.2017.06.003

Batten, 2015, Which precious metals spill over on which, when and why? Some evidence, Applied Economics Letters, 22, 466, 10.1080/13504851.2014.950789

Baur, 2018, Bitcoin, gold and the US dollar – A replication and extension, Finance Research Letters, 25, 103, 10.1016/j.frl.2017.10.012

Baur, 2018, Bitcoin: Medium of exchange or speculative assets?, Journal of International Financial Markets, Institutions and Money, 54, 177, 10.1016/j.intfin.2017.12.004

Bouri, 2017, Does bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions, Finance Research Letters, 23, 87, 10.1016/j.frl.2017.02.009

Bouri, 2017, Bitcoin for energy commodities before and after the December 2013 crash: Diversifier, hedge or safe haven, Applied Economics, 49, 5063

Bouri, 2017, On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?, Finance Research Letters, 20, 192, 10.1016/j.frl.2016.09.025

Bouri, 2018, Spillovers between Bitcoin and other assets during bear and bull markets, Applied Economics, 10.1080/00036846.2018.1488075

Bouri, 2018, Herding behaviour in cryptocurrencies, Finance Research Letters, 10.1016/j.frl.2018.07.008

Brin, 1998, The anatomy of a large-scale hypertextual web search engine, Computer Networks and ISDN System, 30, 107, 10.1016/S0169-7552(98)00110-X

Brière, 2015, Virtual currency, tangible return: Portfolio diversification with bitcoin, Journal of Asset Management, 16, 365, 10.1057/jam.2015.5

Cheung, 2015, Crypto-currency bubbles: An application of the Phillips-Shi-Yu (2013) methodology on Mt. Gox bitcoin prices, Applied Economics, 47, 2348, 10.1080/00036846.2015.1005827

Ciaian, 2018, Virtual relationships: Short- and long-run evidence from Bitcoin and altcoin markets, Journal of International Financial Markets, Institutions and Money, 52, 173, 10.1016/j.intfin.2017.11.001

Corbet, 2017

Corbet, 2018

Corbet, 2018

Corbet, 2018, Exploring the dynamic relationships between cryptocurrencies and other financial assets, Economics Letters, 165, 28, 10.1016/j.econlet.2018.01.004

Demir, 2018, Does economic policy uncertainty predict the bitcoin returns? An empirical investigation, Finance Research Letters, 26, 145, 10.1016/j.frl.2018.01.005

Demirer, 2018, Estimating global bank network connectedness, Journal of Applied Econometrics, 33, 1, 10.1002/jae.2585

Diebold, 2017, Commodity connectedness

Diebold, 2009, Measuring financial asset return and volatility spillovers, with application to global equity markets, The Economic Journal, 119, 158, 10.1111/j.1468-0297.2008.02208.x

Diebold, 2012, Better to give than to receive: Predictive directional measurement of volatility spillovers, International Journal of Forecasting, 28, 57, 10.1016/j.ijforecast.2011.02.006

Diebold, 2014, On the network topology of variance decompositions: Measuring the connectedness of financial firms, Journal of Econometrics, 182, 119, 10.1016/j.jeconom.2014.04.012

Dyhrberg, 2016, Bitcoin, gold and the dollar—A GARCH volatility analysis, Finance Research Letters, 16, 85, 10.1016/j.frl.2015.10.008

Dyhrberg, 2016, Hedging capabilities of bitcoin. Is it the virtual gold?, Finance Research Letters, 16, 139, 10.1016/j.frl.2015.10.025

Feng, 2018, Can cryptocurrencies be a safe haven: A tail risk perspective analysis, Applied Economics, 54, 4745, 10.1080/00036846.2018.1466993

Forbes, 2002, No contagion, only interdependence: Measuring stock market comovements, Journal of Finance, 57, 2223, 10.1111/0022-1082.00494

Frisby, 2014

Fry, 2016, Negative bubbles and shocks in cryptocurrency markets, International Review of Financial Analysis, 47, 343, 10.1016/j.irfa.2016.02.008

Gandal, 2016, Can we predict the winner in a market with network effects? Competition in cryptocurrency market, Games, 7, 16, 10.3390/g7030016

Garman, 1980, On the estimation of security price volatilities from historical data, Journal of Business, 53, 67, 10.1086/296072

Giudici, 2018, What determines bitcoin exchange prices? A network VAR approach, Finance Research Letters, 10.1016/j.frl.2018.05.013

Glaser, 2014, Bitcoin-asset or currency? Revealing users' hidden intentions

Ji, 2018, Network causality structures among bitcoin and other financial assets: A directed acyclic graph approach, The Quarterly Review of Economics and Finance, 10.1016/j.qref.2018.05.016

Kharif, 2018

Koop, 1996, Impulse response analysis in nonlinear multivariate models, Journal of Econometrics, 74, 119, 10.1016/0304-4076(95)01753-4

Lucey, 2014, Gold markets around the world—Who spills over what, to whom, when, Applied Economics Letters, 21, 887, 10.1080/13504851.2014.896974

McQueen, 1993, Stock prices, news, and business conditions, The Review of Financial Studies, 6, 683, 10.1093/rfs/5.3.683

Nicholson, 2017, VARX-L: Structured regularization for large vector autoregressions with exogenous variables, International Journal of Forecasting, 33, 627, 10.1016/j.ijforecast.2017.01.003

Parkinson, 1980, The extreme value method for estimating the variance of the rate of return, Journal of Business, 53, 61, 10.1086/296071

Pesaran, 1998, Generalized impulse response analysis in linear multivariate models, Economics Letters, 58, 17, 10.1016/S0165-1765(97)00214-0

Rogers, 1991, Estimating variance from high, low and closing prices, The Annals of Applied Probability, 1, 504, 10.1214/aoap/1177005835

Simon, 2013, A sparse-group lasso, Journal of Computational and Graphical Statistics, 22, 231, 10.1080/10618600.2012.681250

Sims, 1980, Macroeconomics and reality, Econometrica, 48, 1, 10.2307/1912017

Symitsi, 2018, Return, volatility and shock spillovers of bitcoin with energy and technology companies, Economics Letters, 170, 127, 10.1016/j.econlet.2018.06.012

Tsai, 2014, Spillover of fear: Evidence from the stock markets of five developed countries, International Review of Financial Analysis, 33, 281, 10.1016/j.irfa.2014.03.007

Urquhart, 2016, The inefficiency of Bitcoin, Economics Letters, 148, 80, 10.1016/j.econlet.2016.09.019

Wang, 2016, Who are the net senders and recipients of volatility spillovers in China's financial markets?, Finance Research Letters, 18, 255, 10.1016/j.frl.2016.04.025

Wang, 2018, Volatility connectedness in the Chinese banking system: Do state-owned commercial banks contribute more?, Journal of International Financial Markets, Institutions and Money, 10.1016/j.intfin.2018.07.008

Yang, 2000, Drift-independent volatility estimation based on high, low, open, and close prices, The Journal of Business, 73, 477, 10.1086/209650

Yarovaya, 2016, Volatility spillovers across stock index futures in Asian markets: Evidence from range volatility estimators, Finance Research Letters, 17, 158, 10.1016/j.frl.2016.03.005

Yarovaya, 2016, Intra- and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures, International Review of Financial Analysis, 43, 96, 10.1016/j.irfa.2015.09.004

Zhang, 2014, Return and volatility spillovers between China and world oil markets, Economic Modelling, 42, 413, 10.1016/j.econmod.2014.07.013

Zhou, 2012, Volatility spillovers between the Chinese and world equity markets, Pacific-Basin Finance Journal, 20, 247, 10.1016/j.pacfin.2011.08.002