This study develops a liquidity-adjusted option pricing model that demonstrates the impact of the liquidity risk on stock prices using a liquidity discount factor. The discount factor relates to both mean-reversion stochastic market liquidity and the sensitivity of stock prices to market...

The paper uses fuzzy measure theory to represent liquidity risk, i.e. the case in which the probability measure used to price contingent claims is not known precisely. This theory enables one to account for different values of long and short positions. Liquidity risk is introduced by...

This paper studies a firm´s optimal capital structure in an environment, where the firm´s stock price serves as a public signal for its credit worthiness. In equilibrium, equity investors choose how much information to acquire privately, which induces a positive relation between the amount of...

Liquidity costs in futures markets are not observed directly because bids and offers occur in an open outcry pit and are not recorded. Traditional estimation of these costs has focused on bidask spreads using transaction prices. However, the bid-ask spread only captures the tightness of the...

We develop a parsimonious model of bubbles based on the assumption of imprecisely known market depth. In a speculative bubble, traders drive the price above its fundamental value in a dynamic way, driven by rational expectations about future price developments. At a previously unknown date, the...

Prior studies that examine the relation between market depth and bid-ask spread are often limited to the first level of the limit order book. However, the full limit order book provides important information beyond the first level about the depth and spread, which affects the trading decisions...

Prior theory suggests a positive relation between volatility and market depth, while past empirical research finds contrasting results. This paper examines the relation between the volatility and the limit order book depth in commodity and foreign exchange futures markets during a turbulent time...