| 000 | 02776nam a22004815i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-54956-4 | ||
| 003 | DE-He213 | ||
| 005 | 20200420211740.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 140508s2014 gw | s |||| 0|eng d | ||
| 020 |
_a9783642549564 _9978-3-642-54956-4 |
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| 024 | 7 |
_a10.1007/978-3-642-54956-4 _2doi |
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| 050 | 4 | _aHB172.5 | |
| 072 | 7 |
_aKCB _2bicssc |
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| 072 | 7 |
_aKCBM _2bicssc |
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| 072 | 7 |
_aBUS039000 _2bisacsh |
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| 072 | 7 |
_aBUS045000 _2bisacsh |
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| 082 | 0 | 4 |
_a339 _223 |
| 100 | 1 |
_aSarlin, Peter. _eauthor. |
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| 245 | 1 | 0 |
_aMapping Financial Stability _h[electronic resource] / _cby Peter Sarlin. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014. |
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| 300 |
_aXVI, 233 p. 61 illus., 38 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aComputational Risk Management, _x2191-1436 |
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| 505 | 0 | _aIntroduction -- Macroprudential Oversight -- Macroprudential Data -- Data and Dimension Reduction -- Data-Dimension Reductions: A Comparison -- Extending the SOM -- Self-Organizing Financial Stability Map (SOFSM) -- Exploiting the SOFSM -- Decomposing Financial Crises with SOTMs -- Conclusions, Limitations and the Future. | |
| 520 | _aThis 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. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aMacroeconomics. | |
| 650 | 1 | 4 | _aEconomics. |
| 650 | 2 | 4 | _aMacroeconomics/Monetary Economics//Financial Economics. |
| 650 | 2 | 4 | _aComputer Science, general. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642549557 |
| 830 | 0 |
_aComputational Risk Management, _x2191-1436 |
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| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-54956-4 |
| 912 | _aZDB-2-SBE | ||
| 942 | _cEBK | ||
| 999 |
_c50606 _d50606 |
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