We study an agent-based stock market model with heterogeneous agents and friction. Our model is based on that of Foellmer-Schweizer(1993): The process of a stock price in a discrete-time framework is determined by temporary equilibria via agents' excess demand functions, and the diffusion...

We perform an empirical investigation of 'market impact' of trades using a large dataset of transactions executed by institutional investors in the US equity market. We find that price variations during trade execution are mainly driven by the aggregate order flow imbalance rather than the...

Based on intraday data for a large cross-section of individual stocks and newly developed econometric procedures, we decompose the realized variation for each of the stocks into separate so-called realized up and down semi-variance measures, or “good” and “bad” volatilities, associated...

We build an agent-based model to study how the interplay between low- and high- frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt...

Han and Lesmond (2011) find that stock liquidity, namely bid-ask bounce, affects the pricing of idiosyncratic volatility. Following Ang et al. (2009) and Han and Lesmond (2011), we investigate the pricing of idiosyncratic volatility and liquidity-adjusted idiosyncratic volatility over the period...

This paper examines the distributional properties of cryptocurrency realized variation measures (RVM) and the predictability of RVM on future returns. We show the cryptocurrency volatility persistence and the importance of the asymmetry on volatility forecasting. Signed jumps variations...

This study investigates the impact of simultaneously replacing both midday single-price call auction and lunch break with multi-price continuous trading on intraday volatility–volume patterns as well as the intraday volatility–volume nexus. The analysis utilises 150 m tick-by-tick...

We estimate agents' expectations about future fundamentals using a dynamic stochastic generalequilibrium model augmented with anticipated shocks. Accounting for agents' expectations atthe business cycle horizon results in aggregate risk factor innovations that have significant explanatory power...