Page 434 - Special Topic Session (STS) - Volume 3

STS552 João Falcão Silva et al.
explored so far permits the validation of common data items across statistical
domains and provides additional information. The effectiveness of these
exercises depend on the availability of the information. We discuss
methodological aspects and offer guidance on derivation of household assets
abroad for individual countries. The Portuguese country-case would be
beneficial for other reporting countries (some countries have already started
adopting our approach that we shared).
Mirror data analysis ensures consistency and enhances statistical quality
standards, which is crucial for economists, analysts and policy makers who
explore this information. When these estimates are considered for both
BoP/IIP and RoW financial accounts purposes, there is also need to consider
impacts on the other flows (exchange rate, price and volume changes).
Furthermore, this approach can be seen as generic as it can be extended to
the other sectors (in fact applied the estimation to sectors F, P, C, G and H).
Hyperlink BIS
Assets (claims) of non-bank subsectors with banks abroad 1

Amounts outstanding, in USD billion Graph 1

1a: All counterparties, reported 1b: All counterparties, estimated

1c: Counterparties in Portugal, reported 1d: Counterparties in Portugal, estimated

1 Use of mirror data on liabilities of banks to non-bank subsectors; see methodology on estimation and allocation of non-available breakdown
including unallocated sector amounts.
Sources: BIS locational banking statistics (by residence); authors’ calculations.

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