where
\(\pm \overline{P} \times \frac{1}{2} \left(\overline{s} + 2.33\sigma_s\right)\)
\(\overline{P}\) = an estimate of the next day asset midprice, usually set to 𝑃, the most recent price
\(\overline{s}\) = expected or typical bid-ask spread calculated as: (ask price — bid price) / midprice
observation
\(\overline{s}\) = expected or typical bid-ask spread calculated as: (ask price — bid price) / midprice
\(\sigma_s\) = sample standard deviation of the spread
The \(\overline{s} + 2.33\sigma_s\) component is known as the 99% spread risk factor.
\(\text{VaR}_t \times \sqrt{T}\)
But this formula overstates (VaR) for positions that are liquidated over time because there is an implicit assumption that the whole position is held for (T) days. The following formula can be used to account for the liquidation over a period of days.
\(\text{VaR}_t \times \sqrt{\frac{(1 + T) \times (1 + 2T)}{6T}}\)
The latter two characteristics of markets are closely related to immediacy, the speed with which a market participant can execute a transaction.
These characteristics, and particularly the latter two, are hard to measure, making empirical work on market liquidity difficult. Data useful for the study of market microstructure, especially at high-frequency, are generally sparse. Bid-ask spreads are available for at least some markets, while transaction volume data is more readily available for exchange-traded than for (OTC) securities.

SECURITIES FIRMS

where
\(\pm \overline{P} \times \frac{1}{2} \left(\overline{s} + 2.33\sigma_s\right)\)
\(\overline{P}\) = an estimate of the next day asset midprice, usually set to 𝑃, the most recent price
\(\overline{s}\) = expected or typical bid-ask spread calculated as: (ask price — bid price) / midprice
observation
\(\overline{s}\) = expected or typical bid-ask spread calculated as: (ask price — bid price) / midprice
\(\sigma_s\) = sample standard deviation of the spread
The \(\overline{s} + 2.33\sigma_s\) component is known as the 99% spread risk factor.
\(\text{VaR}_t \times \sqrt{T}\)
But this formula overstates (VaR) for positions that are liquidated over time because there is an implicit assumption that the whole position is held for (T) days. The following formula can be used to account for the liquidation over a period of days.
\(\text{VaR}_t \times \sqrt{\frac{(1 + T) \times (1 + 2T)}{6T}}\)
The latter two characteristics of markets are closely related to immediacy, the speed with which a market participant can execute a transaction.
These characteristics, and particularly the latter two, are hard to measure, making empirical work on market liquidity difficult. Data useful for the study of market microstructure, especially at high-frequency, are generally sparse. Bid-ask spreads are available for at least some markets, while transaction volume data is more readily available for exchange-traded than for (OTC) securities.
Liquidity risk is the threat of being unable to meet short-term financial obligations due to inadequate cash flow or market conditions.
Funding liquidity is the ability of a financial institution to finance its assets consistently at an acceptable borrowing rate.
Transaction liquidity refers to how easily an asset can be bought or sold in the market without significantly affecting its price.
Banks borrow short-term funds and lend them long-term, earning a profit from the difference in interest rates, known as net interest margin.
Liquidity is essential for banks to meet daily obligations, support lending, and avoid financial distress in times of market stress.
The repo market involves the sale of securities with an agreement to repurchase them later, providing short-term funding and liquidity to banks.
Banks use asset-liability management, maintaining liquid assets, diversifying funding sources, and employing stress testing to manage liquidity risk.
Net interest margin is the difference between the interest earned on loans and the interest paid on deposits, crucial for bank profitability.
Securitized credit allows banks to package loans into securities, improving liquidity by enabling them to sell these assets in financial markets.
Market liquidity can dry up due to economic downturns, market panic, increased risk aversion, or sudden changes in funding conditions.