This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Financial data needs for macroprudential surveillance - What are the key indicators of risks to domestic financial stability?

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
E Philip Davis

Additional information is available for the following registered author(s):

Abstract

'Macroprudential surveillance' - monitoring conjunctural and structural trends in financial markets so as to give warning of the approach of financial instability - is immensely important, given that financial crises can have huge costs. In this context, this paper presents three complementary lectures, which set out in generic terms the financial data needed for monitoring risks of financial instability. The paper starts with a view of the nature of financial instability, and the types of turbulence, that might pose particular systemic dangers, and the implications they have for data needs. These together give building-blocks for the listing in the third lecture of the types of financial and macroeconomic data that are needed for macroprudential analysis, and a suggested approach to their interpretation. A practical example is given, by looking at how theory and data respectively gave clues to the approach of the Asian crisis of 1997-8, and in this context, notes the data actually available for Thailand at the onset of the crisis in 1997. Overall, it is suggested that the theory of financial instability and the experience of financial crises in the past provide sufficient material to enable meaningful use to be made of financial and macroeconomic data in macroprudential surveillance. Such data may include econometric forecasts, as well as current information. In using such data, judgement is crucial in assessing risks to financial stability - macroprudential surveillance can never be mechanistic. Nevertheless, the paper maintains that detailed knowledge of the sequence of events in past crises, both directly and as encapsulated in theory, is a sine qua non to interpreting the data. In addition, there is a need for development of broad information on what constitutes normal conditions in an economy, as well as the patterns that have often preceded financial crises in the past both domestically and internationally. Given the shortcomings in the data available for many countries, especially in the emerging markets, considerable efforts to improve coverage and timeliness are warranted. Besides macroeconomic data, emerging-market countries may need to lay particular emphasis on better banking data, given the structure of their financial markets, which is typically bank-dominated. Private sector agents also have a role to play in monitoring the risks they face as a consequence of the behaviour of the overall financial system. They are, therefore, encouraged to undertake their own analyses of risks at a macro level.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.bankofengland.co.uk/education/ccbs/ls/pdf/lshb02.pdf
File Format: application/pdf
File Function: English version
Download Restriction: no

Publisher Info
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
This book is provided by Centre for Central Banking Studies, Bank of England in its series Lectures with number 2 and published in 1999.

ISBN: 1 85730
Handle: RePEc:ccb:lectur:2

Contact details of provider:
Postal: Threadneedle Street, London, EC2R 8AH
Web page: http://www.bankofengland.co.uk/education/ccbs/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Daxa Khilosia).

Related research
Keywords: Financial data macroprudential surveillance key indicators risks domestic financial stability

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Mario Quagliariello, . "Banks' Performance over the Business Cycle: A Panel Analysis on Italian Intermediaries," Discussion Papers 04/17, Department of Economics, University of York. [Downloadable!]
  2. Hyytinen, Ari, 1999. "Stock Return Volatility on Scandinavian Stock Markets and the Banking Industry," Research Discussion Papers 19/1999, Bank of Finland. [Downloadable!]
  3. E Philip Davis, 2003. "Towards A Typology For Systemic Financial Instability," Economics and Finance Discussion Papers 03-20, Economics and Finance Section, School of Social Sciences, Brunel University. [Downloadable!]
    Other versions:
  4. E Philip Davis, 2005. "The Role Of Pension Funds As Institutional Investors In Emerging Markets," Economics and Finance Discussion Papers 05-18, Economics and Finance Section, School of Social Sciences, Brunel University. [Downloadable!]
  5. Bhattacharyay, Biswa N., 2003. "Towards a Macro-Prudential Leading Indicators Framework for Monitoring Financial Vulnerability," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
  6. Mark Illing & Ying Liu, 2003. "An Index of Financial Stress for Canada," Working Papers 03-14, Bank of Canada. [Downloadable!]
Statistics
Access and download statistics

Did you know? RePEc stands for Research Papers in Economics.

This page was last updated on 2008-6-19.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.