Liquidity Co-Movements and Volatility Regimes in Cryptocurrencies

2021 ◽  
Author(s):  
Hubert Anciaux ◽  
Christophe Desagre ◽  
Nicolas Nicaise ◽  
Mikael Petitjean
Keyword(s):  



2004 ◽  
Author(s):  
Helena M. Beltran-Lopez ◽  
Alain C. J. Durré ◽  
Pierre Giot




2021 ◽  
Vol 63 ◽  
pp. 163-177
Author(s):  
Xiaoping Lu ◽  
Endah R. M. Putri

We study finite maturity American-style stock loans under a two-state regime-switching economy. We present a thorough semi-analytic discussion of the optimal redeeming prices, the values and the fair service fees of the stock loans, under the assumption that the volatility of the underlying is in a state of uncertainty. Numerical experiments are carried out to show the effects of the volatility regimes and other loan parameters. doi:10.1017/S1446181121000250



2018 ◽  
Vol 34 (3) ◽  
pp. 437-455 ◽  
Author(s):  
Giovanni Angelini ◽  
Emanuele Bacchiocchi ◽  
Giovanni Caggiano ◽  
Luca Fanelli
Keyword(s):  


2011 ◽  
Vol 11 (6) ◽  
pp. 947-953 ◽  
Author(s):  
Betty Agnani ◽  
Henry Aray




2010 ◽  
Vol 78 ◽  
pp. 114-134 ◽  
Author(s):  
SAYAT R. BARONYAN ◽  
İ. İLKAY BODUROĞLU ◽  
EMRAH ŞENER


2009 ◽  
Vol 20 (1) ◽  
pp. 80-97 ◽  
Author(s):  
Helena Beltran ◽  
Alain Durré ◽  
Pierre Giot


2020 ◽  
Vol 13 (12) ◽  
pp. 312
Author(s):  
Kislay Kumar Jha ◽  
Dirk G. Baur

This paper analyzes high-frequency estimates of good and bad realized volatility of Bitcoin. We show that volatility asymmetry depends on the volatility regime and the forecast horizon. For one-day ahead forecasts, good volatility commands a stronger impact on future volatility than bad volatility on average and in extreme volatility regimes but not across all quantiles and volatility regimes. For 7-day ahead forecasting horizons the asymmetry is similar to that observed in stock markets and becomes stronger with increasing volatility. Compared with stock markets, the persistence and predictability of volatility is low indicating high variations of volatility.



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