We examine the role of concurrent information in the striking increase in investor response to earnings announcements from 2001 to 2016, as measured by return variability and volume following Beaver (1968). We find management guidance, analyst forecasts, and disaggregated financial statement...

Biondi et al. (2012) develop an analytical model to examine the emergent dynamic properties of share market price formation over time, capable to capture important stylized facts. These latter properties prove to be sensitive to regulatory regimes for fundamental information provision, as well...

This paper examines how a firm adjusts its disclosure quality in response to technological innovations that improve investors' private information. We show that more precise private information can endogenously amplify supply shocks and, hence, increase noise-driven (or non-fundamental) price...

We analyze the impact of the French 2012 financial transaction tax (FTT) on trading volumes, stock prices, stock liquidity and volatility. We extend the empirical research by the identification of FTT announcement and short-run treatment effects, which may distort difference-in-differences...

In this paper, we show that in a model where investors have heterogeneous preferences, the expected return of risky assets depends on the idiosyncratic coskewness beta, which measures the co-movement of the individual stock variance and the market return. We find that there is a negative...

Auctions of government bonds are the main allotment method used by the Treasury of advanced economies. Previous research has found that auctions have an influence on the market yield days before they take place, and underpricing is usually spotted when their outcome is compared with...

We analyze the impact of high frequency (HF) trading in financial markets based on a model with three types of traders: liquidity traders (LTs), professional traders (PTs), and high frequency traders (HFTs). Our four main findings are: i) The price impact of liquidity trades is higher in the...

The financial markets stylized facts, volatility and its relationship with returns tested empirically in Tehran Stock Exchange (TSE). ARMA- ARCH type models including two symmetric conditional hetroscedastic models; ARMA (1, 1) - ARCH (1) and ARMA (1, 1) - GARCH (1, 1) and two asymmetric...

We analyze the impact of high frequency (HF) trading in financial markets based on a model with three types of traders: liquidity traders (LTs), professional traders (PTs), and high frequency traders (HFTs). Our four main findings are: i) The price impact of liquidity trades is higher in the...