Volatility in financial markets is a highly explored area of research for the last few decades. Possible reasons for high concentration on the markets are its unexplained and unexplored sources. The present study aims to check certain macroeconomic variables as determinants of financial markets...

This paper examines the behaviour of Bitcoin returns and those of several other cryptocurrencies in the pre and post period of the introduction of the Bitcoin futures market. We use the principal component-guided sparse regression (PC-LASSO) model to analyze several sample sizes for the pre and...

This paper examines the connectedness between Bitcoin and commodity volatilities, including oil, wheat, and corn, during the period Oct. 2013-Jun. 2018, using time- and frequency-domain frameworks. The time-domain framework's results show that the connectedness is 23.49%, indicating a low level...

This study investigates how twelve cryptocurrencies with large capitalization get influenced by the three cryptocurrencies with the largest market capitalization (Bitcoin, Ethereum, and Ripple). Twenty alternative specifications of ARCH, GARCH as well as DCC-GARCH are employed. Daily data covers...

In this paper, the pricing performance of the generalised autoregressive conditional heteroskedasticity (GARCH) option pricing model is tested when applied to Bitcoin (BTCUSD). In addition, implied volatility indices (30, 60-and 90-days) of BTCUSD and the Cyptocurrency Index (CRIX) are generated...

Very recently, the link between exchange rate volatility and trade flows has entered into a new direction in which researchers assess the possibility of asymmetric response of trade flows to a measure of exchange rate uncertainty. We add to this literature by estimating a linear and a nonlinear...