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Spectral risk measures and uncertainty
Published 19 May 2019 in q-fin.RM | (1905.07716v1)
Abstract: Risk assessment under different possible scenarios is a source of uncertainty that may lead to concerning financial losses. We address this issue, first, by adapting a robust framework to the class of spectral risk measures. Second, we propose a Deviation-based approach to quantify uncertainty. Furthermore, the theory is illustrated with a practical case study from NASDAQ index.
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