Arbeitspapier

Bayesian estimation of the false negative fraction in screening tests

Dependence modelling and estimation is a key issue in the assessment of portfolio risk. When measuring extreme risk in terms of the Value-at-Risk, the multivariate normal model with linear correlation as its natural dependence measure is by no means an ideal model. We suggest a large class of models and a new dependence function which allows us to capture the complete extreme dependence structure of a portfolio. We also present a simple nonparametric estimation procedure. To show our new method at work we apply it to a financial data set of zero coupon swap rates and estimate the extreme dependence in the data.

Language
Englisch

Bibliographic citation
Series: Discussion Paper ; No. 376

Classification
Statistical Simulation Methods: General
Subject
Risk management
extreme risk assessment
multivariate models
dependence function

Event
Geistige Schöpfung
(who)
Held, Leonhard
Ranyimbo, Argwings Otieno
Event
Veröffentlichung
(who)
Ludwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen
(where)
München
(when)
2004

DOI
doi:10.5282/ubm/epub.1747
Handle
URN
urn:nbn:de:bvb:19-epub-1747-3
Last update
10.03.2025, 11:55 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Held, Leonhard
  • Ranyimbo, Argwings Otieno
  • Ludwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen

Time of origin

  • 2004

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