We provide empirical evidence within the context of cryptocurrency markets that the returns from liquidity provision, proxied by the returns of a short-term reversal strategy, are primarily concentrated in trading pairs with lower levels of market activity. Empirically, we focus on a moderately...

Using high-frequency price and volume data from several large exchanges, we show that FOMC and CPI announcements have a massive impact on Bitcoin's realized volatility and volume. However, this effect is a recent phenomenon, which started as inflation rose at the beginning of 2021. We also...

It is well known that intraday volatilities and trading volumes exhibit strong seasonal features. These seasonalities are usually modeled using dummy variables or deterministic functions. Here, we propose a test for seasonal long memory with a known frequency. Using this test, we show that...

There is a large literature that reports time-specific anomalies in equity markets such as the Monday effect, the January effect and the Halloween effect. This study is the first to report intra-day time-of-day, day-of-week, and month-of-year effects for Bitcoin returns and trading volume. Using...

We examine the relation between liquidity, volume, and volatility using a comprehensive sample of U.S. stocks in the post-decimalization period. For large stocks, effective spread and volume are positively related in the time series even after controlling for volatility, contrary to most...

We propose option realized semivariances and signed jumps which can be seen as new "observable quantities'' to summarize the asymmetric information contained in the sign of high-frequency options returns. We show that these measures successfully capture the direction of the discontinuities...

We show that limited dealer participation in the market, coupled with an informational friction resulting from high frequency trading, can induce demand for liquidity to be upward sloping and strategic complementarities in traders' liquidity consumption decisions: traders demand more liquidity...

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...

Security Transaction Tax (STT) was introduced in the Indian capital market in 2004. It is a tax on transaction of equities as well as their derivatives. Despite the reduction in STT over the years, it constitutes a large percentage (next only to brokerage fee) of the total cost of trading. The...

We present a two-factor volatility model to study the impact of news arrival and trading volume on stock returns variance. The model can explicitly account for the association between volatility and volume, as well as the persistence in equity variance. Unlike the standard "Mixture of...