In financial markets, the main component of risk management is liquidity risk. Asset and Liability Management (ALM) strategy is concerned with managing all risks. Asset and liability management seeks to manage liquidity risk, which refers to both the liquidity of markets and which assets can be translated into cash. The liquidity is importantly affected by the management of banks’ balance sheet...

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...

the current study aims to investigate the relationship between stock liquidity risk and financial information quality criteria (i.e. the timely dividends announcement, accruals quality and the percentage of profitability prediction error) of companies listed on the tehran stock exchange. for this purpose, 148 cases of data from listed companies, collected from 2007 to 2012, were employed in ord...

We analyze the dynamics of liquidity in Xetra, an electronic open limit order book. We use the Exchange Liquidity Measure (XLM), a measure of the cost of a roundtrip trade of given size V. This measure captures the price and the quantity dimension of liquidity. We present descriptive statistics, analyze the cross-sectional determinants of the XLM measure and document its intraday pattern. Our m...

Before the crisis, bank regulation relied to a large extent on capital regulation. Liquidity regulation was not widely used. The liquidity problems during the crisis led to calls for liquidity regulation. As a result, the Basel III accord introduced global liquidity standards. An important issue in the construction of such liquidity regulations is the exact nature of the problem they are trying...

• This paper investigates the distribution characteristics of stock market liquidity. • This paper utilizes the GAMLSS model and high-frequency data from Chinese stock markets. • The mean and variance of stock market liquidity move in the opposite directions. • The stock market liquidity normally exhibits a positive skewness. • The stock market liquidity exhibits a normal distribution at a low ...

In investigating the effects of algorithmic trading on stock market liquidity and commonality in liquidity in different market conditions in an electronic limit order market, we find algorithmic trading increases stock liquidity by narrowing quoted and effective bid–ask spreads. Furthermore, algorithmic trading decreases commonality in liquidity; this finding is robust across a variety of liqui...

The traditional Value at Risk (VaR) is a very popular tool measuring market risk, but it does not incorporate liquidity risk. This paper proposes an extended VaR model to integrate liquidity risk for intraday trading strategies using high frequency order book data. We estimate the one step ahead liquidity adjusted intraday VaR called(LAIVaR) for both bid and ask positions, considering several t...

The current financial turmoil has generated considerable discussion of liquidity. Moreover, it has been widely reported that the Federal Reserve played a major role in supplying liquidity to financial markets during this distressed time. This article describes two ways in which the Fed has supplied liquidity since late 2007. The first is traditional: The Fed supplies liquidity by providing cred...