Mapping Financial Stability

  • Peter Sarlin
Part of the Computational Risk Management book series (Comp. Risk Mgmt)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Peter Sarlin
    Pages 1-14
  3. Peter Sarlin
    Pages 15-49
  4. Peter Sarlin
    Pages 51-67
  5. Peter Sarlin
    Pages 69-100
  6. Peter Sarlin
    Pages 101-122
  7. Peter Sarlin
    Pages 123-157
  8. Peter Sarlin
    Pages 159-182
  9. Peter Sarlin
    Pages 183-210
  10. Peter Sarlin
    Pages 211-221
  11. Peter Sarlin
    Pages 223-233

About this book

Introduction

This book approaches macroprudential oversight from the viewpoint of three tasks.  The focus concerns a tight integration of means for risk communication into analytical tools for risk identification and risk assessment. Generally, this book explores approaches for representing complex data concerning financial entities on low-dimensional displays. Data and dimension reduction methods, and their combinations, hold promise for representing multivariate data structures in easily understandable formats.  Accordingly, this book creates a Self-Organizing Financial Stability Map (SOFSM), and lays out a general framework for mapping the state of financial stability. Beyond external risk communication, the aim of the visual means is to support disciplined and structured judgmental analysis based upon policymakers' experience and domain intelligence.

Keywords

Data reduction Dimension reduction Financial stability Macroprudential oversight Mapping Systemic risk

Authors and affiliations

  • Peter Sarlin
    • 1
  1. 1.RiskLab Finland at IAMSR and Åbo Akademi University (Turku)Arcada University of Applied SciencesHelsinkiFinland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-54956-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-642-54955-7
  • Online ISBN 978-3-642-54956-4
  • Series Print ISSN 2191-1436
  • Series Online ISSN 2191-1444
  • About this book