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Mapping Financial Stability

Peter Sarlin
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      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.
      Format: CONTRIBUTORS: Peter Sarlin EAN: 9783662525333 COUNTRY: Germany PAGES: WEIGHT: 3869 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2016-09-17 CITY: GENRE: BUSINESS & ECONOMICS / Economics / Macroeconomics, COMPUTERS / Computer Science WIDTH: 155 cm SPINE:

      Book Themes:

      Macroeconomics, Computer science

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      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.
      Format: CONTRIBUTORS: Peter Sarlin EAN: 9783662525333 COUNTRY: Germany PAGES: WEIGHT: 3869 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2016-09-17 CITY: GENRE: BUSINESS & ECONOMICS / Economics / Macroeconomics, COMPUTERS / Computer Science WIDTH: 155 cm SPINE:

      Book Themes:

      Macroeconomics, Computer science

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      Be the first to write a review
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