This method of modelling liquidity risk uses a ``bottom-up'' approach. Real bank data has been used and transformed for both ease of use and security. Identifying the degree of liquidity risk enables a bank to take action to avert problem areas overall and bring accountability to management in individual units within the institution. Critical problems identified include data availability---the set task is to identify the worst 3 days in 10,000---and possible confounding with market risk.
@article{905, title = {Estimation of liquidity risk in banking}, journal = {ANZIAM Journal}, volume = {45}, year = {2004}, doi = {10.21914/anziamj.v45i0.905}, language = {EN}, url = {http://dml.mathdoc.fr/item/905} }
Tobin, Patrick; Brown, Alan. Estimation of liquidity risk in banking. ANZIAM Journal, Tome 45 (2004) . doi : 10.21914/anziamj.v45i0.905. http://gdmltest.u-ga.fr/item/905/