Unbiased estimation of risk
Marcin Pitera and
Thorsten Schmidt
Journal of Banking & Finance, 2018, vol. 91, issue C, 133-145
Abstract:
The estimation of risk measures recently gained a lot of attention, partly because of the backtesting issues of expected shortfall related to elicitability. In this work we shed a new and fundamental light on optimal estimation procedures of risk measures in terms of bias. We show that once the parameters of a model need to be estimated, one has to take additional care when estimating risks. The typical plug-in approach, for example, introduces a bias which leads to a systematic underestimation of risk.
Keywords: Value-at-risk; Tail value-at-risk; Expected shortfall; Risk measure; Estimation of risk measures; Bias; Risk estimation; Elicitability; Backtest; Unbiased estimation of risk measures (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037842661830089X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbfina:v:91:y:2018:i:c:p:133-145
DOI: 10.1016/j.jbankfin.2018.04.016
Access Statistics for this article
Journal of Banking & Finance is currently edited by Ike Mathur
More articles in Journal of Banking & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().