We integrate liquidity risk measured by the weighted spread into a Value-at-Risk (VaR) framework. The weighted spread measure extracts liquidity costs by order size from the limit order book. We show that it is precise from a risk perspective in a wide range of clearly defined situations. Using...

The purpose of this paper is to make a quantitative and qualitative critical analyse regarding the three important aspects of stock market evolution. First, the forecasting problems are presented and analyse in order to establish the main problems and the potential solutions. Second, the...

Models based on factors such as size, value, or momentum are ubiquitous in asset pricing. Therefore, portfolio allocation and risk management require estimates of the volatility of these factors. While realized volatility has become a standard tool for liquid individual assets, this measure is...

This study aims to investigate the effect of bond issuance announcements and to determine the company characteristics that could influence this effect. The findings reveal positive cumulative average abnormal returns following bond issuances, indicating that the market considers bond offers to...

This paper investigates the information content of some accounting variables and degree of their association with risk and return by residual income model in Tehran stock exchange (TSE). In order to determine risk factors, we use Fama and French (1992) three-factor Model. The first contribution...

We integrate liquidity risk measured by the weighted spread into a Value-at-Risk (VaR) framework. The weighted spread measure extracts liquidity costs by order size from the limit order book. We show that it is precise from a risk perspective in a wide range of clearly defined situations. Using...

We propose a new approach to model high and low frequency components of equity correlations. Our framework combines a factor asset pricing structure with other specifications capturing dynamic properties of volatilities and covariances between a single common factor and idiosyncratic returns....

We employ extreme value theory to identify stock price crashes, featuring low-probability events that produce large, firm-specific negative outliers in the conditional distribution. Traditional methods employ approximations under Gaussian assumptions and central moments. This is inherently...

We provide new evidence that local investors are peculiarly biased towards local IPO stocks. Taking the well-known investor preference for local stocks a step further, we contribute by showing that local IPOs boost stock market participation far more intensely than local listed firms....

I quantify private benefits of control, and their impact on stock prices, by estimating a structural model of optimal shareholding using data on the ownership dynamics of Italian public companies. The results show that controlling shareholders generally have positive and persistent impact on...