This paper develops a sequential random matching model of asset trading to analyze how the extent of information about an asset that is available in the market can affect its tradeability. Liquidity traders are rational agents with higher impatience, which make optimal intertemporal consumption decisions given the trading constraints. Information asymmetries result in unexecuted trades. Agents ...

Liquidity risk management ranks to key concepts applied in finance. Liquidity is defined as a capacity to obtain funding when needed, while liquidity risk means as a threat to this capacity to generate cash at fair costs. In the paper we present challenges of liquidity risk management resulting from the 20072009 global financial upheaval. We see five main regulatory liquidity risk management is...

In this paper we examine pure limit order markets in order to find out how different trading strategies affect the shape of the order book. We concentrate on liquidity trading, which implies that any new information that would influence the fundamental value of the traded asset is excluded. The humped shape of the order book is a stylized fact studied in the literature. We build a simulation mo...

Recent empirical studies have shown an increasing co-movement between fund and market liquidity, which is driven by common factors such as monetary shocks. Modeling this comovement becomes desirable to evaluate policies relating to liquidity and financial instability. This paper establishes a monetary model with capital to explain the dynamic interactions between funding and market liquidity in...

A bank as a business units needs to have liquid assets which can be easily converted into cash at short notice. Thus the concept of liquidity risk management is important for any commercial banks. The impact of liquidity position in management of banks have remained significant, though very elusive in the process of investment analysis vis-à-vis bank portfolio management. In addition, liquidity...