IDEAS home Printed from https://ideas.repec.org/a/spr/astaws/v5y2011i1p59-76.html
   My bibliography  Save this article

Risikomaßzahlen für Kreditportfoliotranchen

Author

Listed:
  • Daniel Tillich

    ()

Abstract

There is a multitude of measures to evaluate the tranches of a structured credit portfolio. One problem is that for each concept there exists a variety of different terms. Furthermore, some of these terms are used for different measures. For this reason, this paper aims to catalog the terms used and to define a term that is appropriate and unique. Additionally, characteristic properties for each measure are collected. It turns out that in principle two of the considered measures suffice to evaluate the tranches of a portfolio. Copyright Springer 2011

Suggested Citation

  • Daniel Tillich, 2011. "Risikomaßzahlen für Kreditportfoliotranchen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 59-76, March.
  • Handle: RePEc:spr:astaws:v:5:y:2011:i:1:p:59-76 DOI: 10.1007/s11943-011-0095-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11943-011-0095-1
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wagner, Joachim, 2002. "The causal effects of exports on firm size and labor productivity: first evidence from a matching approach," Economics Letters, Elsevier, pages 287-292.
    2. Andrew Bernard & Joachim Wagner, 1997. "Exports and success in German manufacturing," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(1), pages 134-157, March.
    3. Joachim Wagner, 2007. "Exports and Productivity: A Survey of the Evidence from Firm-level Data," The World Economy, Wiley Blackwell, pages 60-82.
    4. Thierry Mayer & Gianmarco Ottaviano, 2008. "The Happy Few: The Internationalisation of European Firms," Intereconomics: Review of European Economic Policy, Springer;German National Library of Economics;Centre for European Policy Studies (CEPS), vol. 43(3), pages 135-148, May.
    5. Alan S. Blinder, 1990. "Learning by Asking Those Who Are Doing," Eastern Economic Journal, Eastern Economic Association, vol. 16(4), pages 297-306, Oct-Dec.
    6. Andrew B. Bernard & J. Bradford Jensen & Stephen J. Redding & Peter K. Schott, 2007. "Firms in International Trade," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 105-130, Summer.
    7. Thorsten Schank & Claus Schnabel & Joachim Wagner, 2016. "Do Exporters Really Pay Higher Wages? First Evidence from German Linked Employer–Employee Data," World Scientific Book Chapters,in: Microeconometrics of International Trade, chapter 5, pages 177-213 World Scientific Publishing Co. Pte. Ltd..
    8. Bernard, Andrew B. & Bradford Jensen, J., 1999. "Exceptional exporter performance: cause, effect, or both?," Journal of International Economics, Elsevier, vol. 47(1), pages 1-25, February.
    9. George A. Akerlof, 2007. "The Missing Motivation in Macroeconomics," American Economic Review, American Economic Association, vol. 97(1), pages 5-36, March.
    10. Richard Kneller & Mauro Pisu, 2010. "The returns to exporting: evidence from UK firms," Canadian Journal of Economics, Canadian Economics Association, vol. 43(2), pages 494-519, May.
    11. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    12. Thorsten Schank & Claus Schnabel & Joachim Wagner, 2008. "Higher Wages in Exporting Firms: Self-selection, Export Effect, or Both? First Evidence from German Linked Employer-Employee Data," Working Paper Series in Economics 74, University of Lüneburg, Institute of Economics.
    13. Alexander Vogel & Joachim Wagner, 2016. "Higher Productivity in Importing German Manufacturing Firms: Self-selection, Learning from Importing or Both?," World Scientific Book Chapters,in: Microeconometrics of International Trade, chapter 4, pages 139-174 World Scientific Publishing Co. Pte. Ltd..
    14. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 1-3, March.
    2. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 1-3, March.
    3. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 1-3, March.
    4. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(3), pages 159-161, December.
    5. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 1-3, March.
    6. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 1-3, March.

    More about this item

    Keywords

    Risikomessung; Kreditportfolio; Tranche; G32; G24; G13; Risk; Measurement; Tranche; Credit portfolio;

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:astaws:v:5:y:2011:i:1:p:59-76. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.