Advanced Search
MyIDEAS: Login to save this article or follow this journal

Scenario Simulation: Theory and methodology (*)

Contents:

Author Info

  • Farshid Jamshidian

    (New Products and Strategic Trading, Sakura Global Capital, 42 New Broad Street, London EC2M 1JX, United Kingdom)

  • Yu Zhu

    (Risk Assessment and Control, Sakura Global Capital, 65 East 55 Street, New York, NY 10022, USA)

Abstract

This paper presents a new simulation methodology for quantitative risk analysis of large multi-currency portfolios. The model discretizes the multivariate distribution of market variables into a limited number of scenarios. This results in a high degree of computational efficiency when there are many sources of risk and numerical accuracy dictates a large Monte Carlo sample. Both market and credit risk are incorporated. The model has broad applications in financial risk management, including value at risk. Numerical examples are provided to illustrate some of its practical applications.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://link.springer.de/link/service/journals/00780/papers/6001001/60010043.pdf
Download Restriction: Access to the full text of the articles in this series is restricted

File URL: http://link.springer.de/link/service/journals/00780/papers/6001001/60010043.ps.gz
Download Restriction: Access to the full text of the articles in this series is restricted

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Springer in its journal Finance and Stochastics.

Volume (Year): 1 (1996)
Issue (Month): 1 ()
Pages: 43-67

as in new window
Handle: RePEc:spr:finsto:v:1:y:1996:i:1:p:43-67

Note: received: February 1996; final revision received: June 1996
Contact details of provider:
Web page: http://www.springerlink.com/content/101164/

Order Information:
Web: http://link.springer.de/orders.htm

Related research

Keywords: Risk analysis · Monte Carlo studies · approximations to distributions;

Find related papers by JEL classification:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

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

Cited by:
  1. Agata Gemzik-Salwach, 2012. "The Use Of A Value At Risk Measure For The Analysis Of Bank Interest Margins," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 8(4), pages 15-29, February.
  2. Karoline Terán Matamoros & Oscar Molina Tejerina, 2005. "Simulación eficiente del valor de riesgo de un portafolio de acciones del IPSA: Un análisis de componentes principales," Investigación & Desarrollo 0205, Universidad Privada Boliviana, revised Mar 2005.
  3. Francesco Audrino & Fabio Trojani, 2007. "Accurate Short-Term Yield Curve Forecasting using Functional Gradient Descent," University of St. Gallen Department of Economics working paper series 2007 2007-24, Department of Economics, University of St. Gallen.
  4. Andrea Beltratti & Andrea Consiglio & Stavros A. Zenios, 1998. "Scenario Modeling for the Management of International Bond Portfolios," Center for Financial Institutions Working Papers 98-20, Wharton School Center for Financial Institutions, University of Pennsylvania.
  5. Arthur Charpentier & Christophe Villa, 2010. "Generating Yield Curve Stress-Scenarios," Working Papers hal-00550582, HAL.
  6. Roberta Fiori & Simonetta Iannotti, 2006. "Scenario Based Principal Component Value-at-Risk: an Application to Italian Banks' Interest Rate Risk Exposure," Temi di discussione (Economic working papers) 602, Bank of Italy, Economic Research and International Relations Area.
  7. Laruent Barras, 2005. "International Conditional Asset Allocation under Real Time Uncertrainty," FAME Research Paper Series rp153, International Center for Financial Asset Management and Engineering.
  8. Christensen, Jens H.E. & Lopez, Jose A. & Rudebusch, Glenn D., 2013. "A probability-based stress test of Federal Reserve assets and income," Working Paper Series 2013-38, Federal Reserve Bank of San Francisco.
  9. Christophe PÉRIGNON & Christophe VILLA, 2002. "Permanent and Transitory Factors Affecting the Dynamics of the Term Structure of Interest Rates," FAME Research Paper Series rp53, International Center for Financial Asset Management and Engineering.
  10. Fabio Trojani & Francesco Audrino, 2005. "Accurate Yield Curve Scenarios Generation using Functional Gradient Descent," Computing in Economics and Finance 2005 14, Society for Computational Economics.
  11. Kostas Andriosopoulos & Nikos Nomikos, 2012. "Risk management in the energy markets and Value-at-Risk modelling: a Hybrid approach," RSCAS Working Papers 2012/47, European University Institute.
  12. Michael S. Gibson & Matthew Pritsker, 2000. "Improving grid-based methods for estimating value at risk of fixed-income portfolios," Finance and Economics Discussion Series 2000-25, Board of Governors of the Federal Reserve System (U.S.).

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:spr:finsto:v:1:y:1996:i:1:p:43-67. 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: (Guenther Eichhorn) or (Christopher F Baum).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.