1. Cross-border financial positions and exposures – Some suggestions from the Riksbank IMF-FSB Users Conference

2. The Swedish banking system Dominated by four banks, supervised by FSA Total assets:  EUR 1000 bn (>300 percent of GDP) Assets are mainly loans, held to maturity Large cross border exposures, but no “shadow banking system” (simplifies a lot)

3. Lending per geographical area and borrower category Per cent of total lending Sources: Bank reports and the RiksbankChart 3:3

4. Allocation of assets weighted for risk Per cent, March 2009 Sources: Bank reports and the RiksbankChart 3:8

5. The Riksbank Non-regulatory central bank, but far-reaching abilities to obtain data bank-specific data ” Upon the request of the Riksbank, a credit institution or another company which is subject to the supervision of the Financial Supervisory Authority shall provide the Riksbank with such information as the Riksbank considers necessary…“ Also applies to subs and branches, but… Often on ad-hoc basis quite cumbersome …much more efficient to get data from host authorities, but currently legal obstacles.

6. Some suggestions (1) Sharing of data between Riksbank and host authorities on SE banks operating overseas FX transactions and open FX positions of subsidiaries High frequency data on deposit flows and interbank loans Distribution of LTV ratios in loan portfolios Swedish banks’ usage of the lending facilities of other central banks

7. FX deposits/total deposits in SE banks in Latvia (per cent)

8. Some suggestions (2) Securities transactions of Swedish subsidiaries To what extent are subsidiaries buying treasury bills that are issued in host countries? Issuance of securities by Swedish subsidiaries in local currency

9. Some suggestions (3) External debt obligations of non-financial firms Balance-of-payment data not timely or granular enough Inter-company loans? Ultimate goal: find ways to better and quicker measure ”home-bias” in lending

10. Some suggestions (4) Better balance sheet data on the non- financial sector. Micro data Data on property market developments Commercial property (vacancies, rents, prices) Reliable residential property prices

11. Thank you!