In this study, we investigate the pricing of risks in the cross-section of cryptocurrency returns. In doing so, we decompose total variations into systematic and idiosyncratic components, as well as differentiate jumps from diffusive variations. We show that a hedged portfolio sorted on...

This research analyses high-frequency data of the cryptocurrency market in regards to intraday trading patterns. We study trading quantitatives such as returns, traded volumes, volatility periodicity, and provide summary statistics of return correlations to CRIX (CRyptocurrency IndeX), as well...

We study the interactions between cryptocurrencies, stock markets, and economic policy uncertainty (EPU) by means of a Factor-Augmented Vector Autoregressive (FAVAR) framework. We rely on two market factors to model the comovements of returns within cryptocurrencies and stock markets. We...

This paper identifies several stylised facts relating to the volatility and price discovery process from eight cryptocurrencies utilising an empirical analysis of intra-day trading data to uncover four main results. First, cryptocurrencies exhibit weekend-volatility effects while intra-day...

This paper examines the high frequency multiscale relationships and nonlinear multiscale causality between Bitcoin, Ethereum, Monero, Dash, Ripple, and Litecoin. We apply nonlinear Granger causality and rolling window wavelet correlation (RWCC) to 15 min-data. Empirical RWCC results indicate...

This study investigates the causal relationship between price volatility and trading volume for bitcoin which is the first cryptocurrency. Data are daily and cover the period starting from December 27, 2013 to March 3, 2019. Price volatility series was produced by using EGARCH model. The...

This is the first paper that estimates the price determinants of BitCoin in a Generalised Autoregressive Conditional Heteroscedasticity framework using high frequency data. Derived from a theoretical model, we estimate BitCoin transaction demand and speculative demand equations in a GARCH...

This paper investigates the role of the frequency of price overreactions in the cryptocurrency market in the case of BitCoin over the period 2013-2018. Specifically, it uses a static approach to detect overreactions and then carries out hypothesis testing by means of a variety of statistical...

In this paper, we provide evidence on two alternative mechanisms of interaction between returns and volatilities: the leverage effect and the volatility feedback effect. We stress the importance of distinguishing between realized volatility and implied volatility, and find that implied...

This study aims to examine regularities of price limit hits for stocks listed in the TSE. Regularities of limit hits have not been examined before. The results show an increase of limit hits on Monday and Tuesday. These results of limit hits are consistent with the existing literature for the...