Investor sentiment and bitcoin prices

被引:19
作者
Koutmos, Dimitrios [1 ]
机构
[1] Texas A&M Univ Corpus Christi, Corpus Christi, TX 78412 USA
关键词
Bitcoin; Bootstrap; Investor sentiment; Quantile regression; Robustness; ORDER IMBALANCE; RETURN; VOLATILITY; RETAIL; VOLUME;
D O I
10.1007/s11156-022-01086-4
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Using a rich data set of transaction-level buy and sell orders from the major digital currency exchange Coinbase, we formulate a measure for investor sentiment and shed new evidence on the sentiment-return relation for bitcoin. Using a bootstrapped quantile regression procedure we show a significant and robust relation between rising sentiment and price increases, and vice versa, across the distribution of bitcoin price changes. This relation is shown to be robust when controlling for a variety of exchange-specific and blockchain-wide variables. This relation is also robust when controlling for aggregate momentum across major cryptocurrencies. This finding is important as our data sample spans a period before and after the introduction of futures markets for bitcoin, which has arguably resulted in a regime shift in the time series behavior of its price. Taken together, our results show that bitcoin prices can undergo regime changes and that conventional regression-type models that focus on the center of the distribution of bitcoin price changes can yield misleading estimates.
引用
收藏
页码:1 / 29
页数:29
相关论文
共 37 条
[1]   Digital blockchain networks appear to be following Metcalfe's Law [J].
Alabi, Ken .
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2017, 24 :23-29
[2]  
Amihud Y., 1986, FINANC ANAL J, V43, P43, DOI [10.2469/faj.v42.n3.43, DOI 10.2469/FAJ.V42.N3.43]
[4]  
[Anonymous], 2012, Hastings Sci. & Tech. LJ, DOI DOI 10.1007/978-3-642-32946-3_29
[5]   Bitcoin price forecasting with neuro-fuzzy techniques [J].
Atsalakis, George S. ;
Atsalaki, Loanna G. ;
Pasiouras, Fotios ;
Zopounidis, Constantin .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2019, 276 (02) :770-780
[6]   Latency and liquidity provision in a limit order book [J].
Bonart, Julius ;
Gould, Martin D. .
QUANTITATIVE FINANCE, 2017, 17 (10) :1601-1616
[7]   ESTIMATING THE ASYMPTOTIC COVARIANCE-MATRIX FOR QUANTILE REGRESSION-MODELS - A MONTE-CARLO STUDY [J].
BUCHINSKY, M .
JOURNAL OF ECONOMETRICS, 1995, 68 (02) :303-338
[8]   CHANGES IN THE UNITED-STATES WAGE STRUCTURE 1963-1987 - APPLICATION OF QUANTILE REGRESSION [J].
BUCHINSKY, M .
ECONOMETRICA, 1994, 62 (02) :405-458
[9]   Leverage Effect, Volatility Feedback, and Self-Exciting Market Disruptions [J].
Carr, Peter ;
Wu, Liuren .
JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 2017, 52 (05) :2119-2156
[10]   Forecasting cryptocurrencies under model and parameter instability [J].
Catania, Leopoldo ;
Grassi, Stefano ;
Ravazzolo, Francesco .
INTERNATIONAL JOURNAL OF FORECASTING, 2019, 35 (02) :485-501