Subjectivity in conventional tail measures: An exploratory model with 'risks & biases’
Debasish Majumder
Finance Research Letters, 2023, vol. 55, issue PB
Abstract:
Economic models are often based on some input parameters, whose values are decided by judgement. The approach is practical as judgment or intuition reduces complexity to a manageable level. A critical input parameter, for example, in the case of tail measures would have been the risk tolerance level, which was prescribed as 99th percentile or even higher on certain occasions for Value-at-Risk by post-2010 international regulatory bodies. Conversely, our paper proposes a model-based approach for estimation of the same. Our formulation is effective in reducing the biases that can creep into the process through adoption of heuristics in model formulation.
Keywords: Tail risk models; generalised Pareto distribution (GPD); Coefficient of variation; The risk tolerance level; Cognitive bias; Nowcasting (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612323003239
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:finlet:v:55:y:2023:i:pb:s1544612323003239
DOI: 10.1016/j.frl.2023.103951
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().