Impairments |
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Jun. 30, 2026 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Disclosure of financial assets that are either past due or impaired [abstract] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Impairments | Impairments
The table above shows the book value of loans and nominal amounts for off-balance sheet exposures before expected credit losses for each stage as well as related loss allowance amounts, in order to place expected credit losses in relation to credit exposures. Overall, the credit portfolio has an extremely high credit quality and SEK often uses risk mitigation measures, primarily through guarantees from the Swedish Export Credit Agency (EKN) and other government export credit agencies in the Organisation for Economic Co-operation and Development (OECD), which explains the low provision ratio. Loss Allowance
Provisions for expected credit losses (ECLs) are calculated using quantitative models based on inputs, assumptions and methods that are highly reliant on assessments. In particular, the following could heavily impact the level of provisions: the establishment of a material increase in credit risk, allowing for forward-looking macroeconomic scenarios, and the measurement of both ECLs over the next 12 months and lifetime ECLs. ECLs are based on objective assessments of what SEK expects to lose on the exposures given what was known on the reporting date and taking into account possible future events. The ECL is a probability-weighted amount that is determined by evaluating the outcome of several possible scenarios and where the data taken into consideration comprises information from previous conditions, current conditions and projections of future economic conditions. SEK’s method entails three scenarios being prepared for each probability of default curve: a base scenario, a downturn scenario, and an upturn scenario, where the scenarios are expressed in a business cycle parameter. The business cycle parameter reflects the general risk of default in each geographic segment. The business cycle parameter follows a standard normal distribution where zero indicates a neutral economy as the economy has been on average, historically. The business cycle parameters for the base scenario are between 0.3 and 1.1 for the various probability of default (PD) segments. The base scenarios have been weighted at 50 percent, the downturn scenarios have been weighted at between 40 percent and 50 percent, and the upturn scenarios have been weighted at between 0 percent and 10 percent between the different PD-segments.
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