Għażliet għat-Tiftix
Home Midja Spjegazzjonijiet Riċerka u Pubblikazzjonijiet Statistika Politika monetarja L-euro Pagamenti u swieq Karrieri
Issortja skont
Mhux disponibbli bil-Malti

Michał Adam

29 May 2019
Financial Stability Review Issue 1, 2019
Uncertainty associated with hard-to-value securities on bank balance sheets can affect market perceptions of banks, especially during periods of stress. Fair value assets on bank balance sheets are classified into three categories: (i) those which are easy to value and based on quoted market prices (level 1 (L1) assets); (ii) those that are harder to value and only partially derive from quoted market prices (level 2 (L2) assets); and (iii) those that are particularly complex and the valuation of which is based on models instead of observed prices (level 3 (L3) assets). While the accounting standards provide the principles for the allocation of assets to the L2/L3 categories, they also leave some room for interpretation, which can result in different choices across banks. Valuation uncertainties can be problematic in times of stress should they lead investors to mistrust the value of banks’ assets, and in turn trigger liquidity or deleveraging pressures – not least if valuations behave in a correlated manner across banks or are concentrated in systemic banks. Worsening market liquidity conditions that would possibly also lead to reclassifications of assets into the L3 category could further amplify the effect. Against this background, this box first looks at the magnitude and distribution of L2/L3 assets in euro area banks’ balance sheets, and second at their impact on market perceptions of banks through the lens of price-to-book (P/B) ratios during normal and stressed times.
20 November 2019
Financial Stability Review Issue 2, 2019
This special feature discusses several ways in which the measurement of banks’ systemic footprint can be complemented with new indicators. The international approach is largely mechanical, but is intended to be complemented by expert judgement. The proposed additional systemic footprint measures may help macroprudential authorities in exercising that judgement. Using loan-level data matched with individual corporate balance sheet information allows macroprudential authorities to gain a better understanding of how a bank’s failure may affect employment and economic activity. Similar data, used in a model of network contagion, help assess the impact of a bank’s failure on the rest of the system. While the measures proposed in this special feature are not embedded in O-SII or G-SII scores, some evidence suggests that the concepts discussed have informed decisions of macroprudential authorities.