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Macroprudential Data

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Mapping Financial Stability

Part of the book series: Computational Risk Management ((Comp. Risk Mgmt))

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Abstract

An understanding of all elements in the macroprudential oversight process is obviously crucial for safeguarding financial stability. While providing a basis, such a framework is still highly dependent on the underlying data. Access to complete, accurate, and timely data is central not only for policymakers to make good economic policy, but also for businesses and investors alike to make good financial decisions. However, data for macroprudential purposes are, not surprisingly, as complex as the system they describe. Alas, complexity oftentimes implies challenges. Gathering, synthesizing, understanding and analyzing these data is hence not an entirely unproblematic task. With the aim of having a holistic view of the financial system to ensure system-wide stability, rather than only being concerned about individual financial institutions, a macroprudential approach to oversight has a wide range of data demands and needs. As early-warning models were at the core of the previous chapter’s ending note, the key focus herein is also on input data for early-warning exercises. Yet, as macro stress-testing and contagion models will throughout this book be touched upon, this chapter will still provide a brief discussion on data needs for risk assessment tools as well.

I didn’t have time to write a short letter, so here’s a long one

– Mark Twain

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Authors and Affiliations

  1. Centre of Excellence SAFE, Goethe University Frankfurt, Grüneburgplatz 1, 60323, Frankfurt am Main, Germany

    Peter Sarlin

  2. RiskLab Finland, IAMSR Åbo Akademi University, Turku, Finland

    Peter Sarlin

  3. Arcada University of Applied Sciences, Helsinki, Finland

    Peter Sarlin

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  1. Peter Sarlin
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Correspondence to Peter Sarlin .

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Sarlin, P. (2014). Macroprudential Data. In: Mapping Financial Stability. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54956-4_3

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  • DOI: https://doi.org/10.1007/978-3-642-54956-4_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54955-7

  • Online ISBN: 978-3-642-54956-4

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