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International Monetary Fund. Statistics Dept.

Abstract

1.1 This 2019 Financial Soundness Indicators Compilation Guide (Guide) provides guidance on the concepts and definitions, data sources and methods for the compilation and dissemination of financial soundness indicators (FSIs). (Table 1.1 contains the set of core and additional FSIs.)

International Monetary Fund. Statistics Dept.

Abstract

10.1 Drawing on the definitions and concepts set out previously, this chapter explains how financial soundness indicators (FSIs) for the nonfinancial sectors are to be calculated and interpreted.

International Monetary Fund. Statistics Dept.

Abstract

11.1 This chapter provides practical guidance on strategic and management considerations about the compilation of FSIs and dissemination practices, which can be adapted to meet specific country circumstances.

International Monetary Fund. Statistics Dept.

Abstract

12.1 Financial soundness indicators for a sector may hide variations that could endanger the entire financial system. For example, the sector-wide capital-asset ratio for deposit takers is an average ratio for the system, but it does not reveal whether individual institutions’ capital ratios are clustered around the average value or are spread over a wide range. Moreover, data for highly capitalized deposit takers could offset the data for undercapitalized deposit takers, such that the aggregate ratio may appear robust while masking significant vulnerabilities from weak deposit takers whose failure could lead to contagion throughout the system. For this reason, FSIs need to be supplemented by concentration and distributions measures (CDMs).

International Monetary Fund. Statistics Dept.

Abstract

13.1 This chapter provides an overview of the use of FSI data in macroprudential analysis. It begins with a brief review of approaches to financial stability analysis, macroprudential frameworks and macroprudential policies, and the role that FSIs can play in the supporting analysis. It continues with a more detailed discussion of the potential and current use of FSIs in macroprudential analysis, and a brief overview of related analytical approaches that commonly employ FSIs as inputs or outputs. The chapter concludes with a summary of key points.

International Monetary Fund. Statistics Dept.

Abstract

2.1 This chapter starts by defining institutional units (as holders and issuers of financial assets) and classifying them into sectors following the overarching macroeconomic statistics principles in the 2008 System of National Accounts (2008 SNA). Subsequently, the concept of residence is used to establish the economic boundary for compiling FSIs. It determines the foreign/domestic breakdown of assets and liabilities of financial corporations (FCs). Next, resident institutional units are classi-fed into institutional sectors and subsectors. This allows the presentation of FCs’ claims on and liabilities to the different sectors of the domestic economy. Finally, the chapter identifies and defines the main types of players and markets that typically constitute a financial system.

International Monetary Fund. Statistics Dept.

Abstract

3.1 This chapter discusses prudential standards relating to capital and liquidity developed by the Basel Committee on Banking Supervision (BCBS)— the international standard setter for banks—which are relevant to compiling FSIs.1 An overview of the concepts and key terminology is provided, but much of the technical detail, which will not in the normal course be required by compilers, has been omitted. Compilers requiring additional detail are referred to the publications of the BCBS.2

International Monetary Fund. Statistics Dept.

Abstract

4.1 A consistent set of accounting principles is required for compiling position and flow data for calculating financial soundness indicators (FSIs) and is a precondition for aggregating data from differ-ent institutional units within a sector of an economy. Consistent accounting principles ensure the methodological soundness of the calculated indicators and facilitate cross-country comparability, even when different accounting standards are applied in different economies. This chapter provides guidance on accounting principles to be followed when compiling FSIs for deposit takers (DTs) and OFCs drawing on the existing International Financial Reporting Standards (IFRS) issued by the International Accounting Standard Board (IASB). The accounting principles underlying the FSI compilation for nonfinancial corporations (NFCs) and households are typically sourced from national accounts statistics, discussed in Chapter 10.1

International Monetary Fund. Statistics Dept.

Abstract

5.1 The balance sheet, or the stock of assets and liabilities, and income and expense statements of deposit takers (DTs) and other financial corporations (OFCs) are fundamental to understanding their financial condition.1 Data series obtained from such statements can be used to calculate most of the FSI ratios for financial corporations, although additional series are needed to complete the full set. In addition to data reported by individual institutions, other data are required to make adjustments at the group level, primarily to eliminate transactions and positions among institutions within the same group.2 Data for constructing the financial statements for nonfinancial corporations (NFCs) and households (HHs) are mainly obtained from the system of national accounts (SNA), in particular the financial accounts.

International Monetary Fund. Statistics Dept.

Abstract

6.1 The analytical interpretation of financial soundness indicators (FSIs) is affected by (1) the consolidation basis used for their compilation; and (2) the group-consolidation adjustments in the source data. The first aspect determines the reporting population1 for FSIs compilation, whereas the second affects the calculation of the FSI underlying series. The two aspects are interrelated: the consolidation basis defines the perimeter of institutions for which the group-consolidation adjustments are required.