We shed light on how the price explosivity characterising Bitcoin and other major cryptocurrencies is triggered, by employing the Quantile Self-Exciting Threshold Autoregressive (QSETAR) model. Our results for Bitcoin, Ripple, and Stellar reveal that the explosive behaviour originates from the extreme upper tails of the return distributions following a price increase in the preceding day. We do not find evidence of explositivity in the price of Litecoin
This paper explores price effects caused by the expiration of derivatives in the cryptocurrency mark...
In this paper we analyze the existence of cointegrating relationships between Bitcoin, S&P 500, and ...
If behavioral biases explain asset pricing anomalies, they should also materialize in cryptocurrency...
We shed light on how the price explosivity characterising Bitcoin and other major cryptocurrencies i...
The author gratefully acknowledges useful comments by Beat Hintermann, Xin Jin, as well as participa...
We examine the persistence of returns on Bitcoin at different parts on the return distributions thro...
Cryptocurrencies have attained massive global attention shortly after its creation, thus capturing t...
We analyze the extent of comovement between daily price returns of nine major cryptocurrencies durin...
Cryptocurrencies have recently captured the interest of the econometric literature, with several wor...
The cryptocurrencies are digital currencies that were initially designated to replace the old ones. ...
© 2020 Elsevier B.V. We construct the complete network of tail risk spillovers among major cryptocur...
Decentralized digital currencies such as Bitcoin have emerged as captivating innovations in the Fina...
YesWe develop bespoke rational bubble models for Bitcoin and cryptocurrencies that incorporate both ...
In 2008 a group of programmers, alias Satoshi Nakamoto, introduced bitcoin. Bitcoin is a cryptocurre...
This paper examines price overreactions in the case of the following cryptocurrencies: BitCoin, Lit...
This paper explores price effects caused by the expiration of derivatives in the cryptocurrency mark...
In this paper we analyze the existence of cointegrating relationships between Bitcoin, S&P 500, and ...
If behavioral biases explain asset pricing anomalies, they should also materialize in cryptocurrency...
We shed light on how the price explosivity characterising Bitcoin and other major cryptocurrencies i...
The author gratefully acknowledges useful comments by Beat Hintermann, Xin Jin, as well as participa...
We examine the persistence of returns on Bitcoin at different parts on the return distributions thro...
Cryptocurrencies have attained massive global attention shortly after its creation, thus capturing t...
We analyze the extent of comovement between daily price returns of nine major cryptocurrencies durin...
Cryptocurrencies have recently captured the interest of the econometric literature, with several wor...
The cryptocurrencies are digital currencies that were initially designated to replace the old ones. ...
© 2020 Elsevier B.V. We construct the complete network of tail risk spillovers among major cryptocur...
Decentralized digital currencies such as Bitcoin have emerged as captivating innovations in the Fina...
YesWe develop bespoke rational bubble models for Bitcoin and cryptocurrencies that incorporate both ...
In 2008 a group of programmers, alias Satoshi Nakamoto, introduced bitcoin. Bitcoin is a cryptocurre...
This paper examines price overreactions in the case of the following cryptocurrencies: BitCoin, Lit...
This paper explores price effects caused by the expiration of derivatives in the cryptocurrency mark...
In this paper we analyze the existence of cointegrating relationships between Bitcoin, S&P 500, and ...
If behavioral biases explain asset pricing anomalies, they should also materialize in cryptocurrency...