This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

On the Validity of Risk Measures over Time: Value-at-Risk, Conditional Tail Expectations and the Bodie-Merton-Perold Put

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Jonathan Treussard () (Department of Economics, Boston University)

Additional information is available for the following registered author(s):

Abstract

Over the past decade, risk measurement has received a much needed amount of attention from the .nancial community. Risk measures based on .xed quantiles un- der the actual probability distribution, especially Value-at-Risk and its re.nement the Conditional Tail Expectation, were instrumental in capturing the attention of .nancial decision-makers. However, these were developed in a way that is inconsistent with eco- nomic theory. Consequently, these instruments possess characteristics that make them invalid risk measures for the purposes they intend to serve, be it informing life-cycle investors or guaranteeing the .rm.s capital adequacy through regulation. In particular, in addition to failing to guarantee the intregity of .nancial .rms when used for capital adequacy, these measures can eventually decrease with the investment horizon. Risk-neutral .xed-quantile measures are valid for framing life-cycle decisions because of their economic content. When endowed with a dynamic replication technology, Q- measure .xed-quantile risk measures become least-cost insurance contracts that may be used for capital adequacy considerations. However, no single quantile of the risk-neutral distribution can be used for the procurement of risk capital at all horizons. A risk-neutral varying-quantile instrument is needed. This unique instrument is a put option proposed by Merton-Perold (1993) and Bodie (1995). The Bodie-Merton-Perold Put is universally valid for both risk disclosure to investors and for the regulatory provision of risk capital at all horizons. It is a natural candidate for an industry standard in risk measurement.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.bu.edu/econ/workingpapers/papers/RiskMeasuresTreussard081005.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Boston University - Department of Economics in its series Boston University - Department of Economics - Working Papers Series with number WP2005-029.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 37 pages
Date of creation: Aug 2005
Date of revision:
Handle: RePEc:bos:wpaper:wp2005-029

Contact details of provider:
Postal: 270 Bay State Road, Boston, MA 02215
Phone: 617-353-4389
Fax: 617-353-444
Web page: http://www.bu.edu/econ/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Kam Wing Siu).

Related research
Keywords:

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Phillips, P.C.B., 1986. "Testing for a Unit Root in Time Series Regression," Cahiers de recherche 8633, Universite de Montreal, Departement de sciences economiques.
    Other versions:
  2. Jushan Bai, 1997. "Estimation Of A Change Point In Multiple Regression Models," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 551-563, November. [Downloadable!] (restricted)
  3. Peter C.B. Phillips & Victor Solo, 1989. "Asymptotics for Linear Processes," Cowles Foundation Discussion Papers 932, Cowles Foundation, Yale University. [Downloadable!]
  4. Kormendi, Roger C & Meguire, Philip, 1990. "A Multicountry Characterization of the Nonstationarity of Aggregate Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 22(1), pages 77-93, February. [Downloadable!] (restricted)
  5. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-58, May. [Downloadable!] (restricted)
    Other versions:
  6. Bai, Jushan & Lumsdaine, Robin L & Stock, James H, 1998. "Testing for and Dating Common Breaks in Multivariate Time Series," Review of Economic Studies, Blackwell Publishing, vol. 65(3), pages 395-432, July. [Downloadable!] (restricted)
  7. Perron, P, 1988. "The Great Crash, The Oil Price Shock And The Unit Root Hypothesis," Papers 338, Princeton, Department of Economics - Econometric Research Program.
    Other versions:
  8. Pierre Perron, 2005. "Dealing with Structural Breaks," Boston University - Department of Economics - Working Papers Series WP2005-017, Boston University - Department of Economics. [Downloadable!]
  9. Andrews, Donald W K & McDermott, C John, 1995. "Nonlinear Econometric Models with Deterministically Trending Variables," Review of Economic Studies, Blackwell Publishing, vol. 62(3), pages 343-60, July. [Downloadable!] (restricted)
    Other versions:
  10. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    Other versions:
  11. Perron, Pierre & Zhu, Xiaokang, 2005. "Structural breaks with deterministic and stochastic trends," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 65-119. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by encouraging others to register as authors.

This page was last updated on 2008-8-8.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.