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Displaying results 1 to 8 of 8.

  1. Development Aid and the CDM - How to interpret "Financial Additionality"
  2. Financing Structures for CDM Projects in India and Capacity Building Options for EU-Indo Collaboration
  3. Equal emissions per capita over time : A proposal to combine responsibility and equity of rights
  4. Financing structures for CDM projects in India and capacity building options for EU-Indo collaboration
    Published: 2003
    Publisher:  HWWA, Hamburg

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  5. Pilot project on concentration and distribution
    measures for a selected set of financial soundness indicators
    Published: February 2016
    Publisher:  International Monetary Fund, [Washington, D.C.]

    This paper reports the main findings of a pilot project launched in July 2014 by the IMF's Statistics Department to test augmenting the IMF's financial soundness indicators (FSIs) with concentration and distribution measures (CDMs) to capture tail... more

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    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
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    This paper reports the main findings of a pilot project launched in July 2014 by the IMF's Statistics Department to test augmenting the IMF's financial soundness indicators (FSIs) with concentration and distribution measures (CDMs) to capture tail risks, concentrations, variations in distributions, and the volatility of indicators over time that simple averages can miss. Volunteer participants reported a trial set of CDMs to assess analytical usefulness and identify concerns such as confidentiality and reporting burden. The results of the pilot suggests that CDMs can help detect financial sector risks, justifying the additional reporting burden but that further input from participating countries and potential data users should be sought; indeed further refinement of the reporting requirements and the CDMs themselves may be needed

     

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    Content information
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781498337014
    Other identifier:
    Series: IMF working paper ; WP/16/26
    Subjects: Finanzpolitik; Konzentrationsmaß; Statistische Verteilung; Wirtschaftsindikator; CDM Dataset; CDM; Core FSIs; Quartile; WP
    Scope: 1 Online-Ressource (circa 26 Seiten), Illustrationen
  6. Mitigation and adaptation are not enough
    turning to emissions reduction abroad
    Published: 2014
    Publisher:  Univ. de Paris Ouest Nanterre La Défense, Nanterre

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    VS 334 (2015,2)
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Document de travail / EconomiX ; 2015-02
    Subjects: climate change; mitigation; adaptation; CDM; pollution threshold
    Scope: Online-Ressource (22 S.), graph. Darst.
  7. Appropriability mechanisms, innovation and productivity
    evidence from the UK
    Published: 2014
    Publisher:  UNU‐MERIT [u.a.], Maastricht

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: UNU-MERIT working paper series ; 2014-059
    Subjects: productivity; innovation; intellectual property; appropriability; patents; CDM
    Scope: Online-Ressource (36, [15] S.), graph. Darst.
  8. Pilot project on concentration and distribution
    measures for a selected set of financial soundness indicators
    Published: February 2016
    Publisher:  International Monetary Fund, [Washington, D.C.]

    This paper reports the main findings of a pilot project launched in July 2014 by the IMF's Statistics Department to test augmenting the IMF's financial soundness indicators (FSIs) with concentration and distribution measures (CDMs) to capture tail... more

    Access:
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    This paper reports the main findings of a pilot project launched in July 2014 by the IMF's Statistics Department to test augmenting the IMF's financial soundness indicators (FSIs) with concentration and distribution measures (CDMs) to capture tail risks, concentrations, variations in distributions, and the volatility of indicators over time that simple averages can miss. Volunteer participants reported a trial set of CDMs to assess analytical usefulness and identify concerns such as confidentiality and reporting burden. The results of the pilot suggests that CDMs can help detect financial sector risks, justifying the additional reporting burden but that further input from participating countries and potential data users should be sought; indeed further refinement of the reporting requirements and the CDMs themselves may be needed

     

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    Content information