Abstract
We study the asymptotic behavior of the marginal expected shortfall when the two random variables are asymptotic independent but positively associated, which is modeled by the so-called tail dependent coefficient. We construct an estimator of the marginal expected shortfall, which is shown to be asymptotically normal. The finite sample performance of the estimator is investigated in a small simulation study. The method is also applied to estimate the expected amount of rainfall at a weather station given that there is a once every 100 years rainfall at another weather station nearby.
| Original language | English |
|---|---|
| Pages (from-to) | 56-83 |
| Number of pages | 28 |
| Journal | Scandinavian Journal of Statistics |
| Volume | 47 |
| Issue number | 1 |
| Early online date | 2 Jun 2019 |
| DOIs | |
| Publication status | Published - Mar 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Keywords
- asymptotic independence
- marginal expected shortfall
- tail dependence coefficient
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