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~accessRights:"restricted"
~isPartOf:"Insurance / Mathematics & economics"
~person:"Shushi, Tomer"
~subject:"ARCH model"
~subject:"ARCH-Modell"
~subject:"Autokorrelation"
~subject:"EU-Staaten"
~subject:"Estimation"
~subject:"Schätzung"
~subject:"Structural innovations"
~subject:"Theorie"
~subject:"Welt"
~subject:"Ökonometrisches Modell"
~type_genre:"Article in journal"
~type_genre:"Aufsatz in Zeitschrift"
~type_genre:"Conference paper"
~type_genre:"Lehrbuch"
~type_genre:"Übersichtsarbeit"
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Insurance / Mathematics & economics
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1
Multivariate risk measures based on conditional expectation and systemic risk for Exponential Dispersion Models
Shushi, Tomer
;
Yao, Jing
- In:
Insurance / Mathematics & economics
93
(
2020
),
pp. 178-186
Persistent link: https://www.econbiz.de/10012294094
Saved in:
2
Tail conditional moments for elliptical and log-elliptical distributions
Landsman, Zinoviy
;
Makov, Udi
;
Shushi, Tomer
- In:
Insurance / Mathematics & economics
71
(
2016
),
pp. 179-188
Persistent link: https://www.econbiz.de/10011630646
Saved in:
3
Multivariate tail conditional expectation for elliptical distributions
Landsman, Zinoviy
;
Makov, Udi
;
Shushi, Tomer
- In:
Insurance / Mathematics & economics
70
(
2016
),
pp. 216-223
Persistent link: https://www.econbiz.de/10011597276
Saved in:
4
Optimal mix between pay-as-you-go and funding for DC pension schemes in an overlapping generations model
Alonso-García, J.
;
Devolder, Pierre
;
Shushi, Tomer
- In:
Insurance / Mathematics & economics
70
(
2016
),
pp. 224-236
Persistent link: https://www.econbiz.de/10011597277
Saved in:
5
A multivariate tail covariance measure for elliptical distributions
Landsman, Zinoviy
;
Makov, Udi
;
Shushi, Tomer
- In:
Insurance / Mathematics & economics
81
(
2018
),
pp. 27-35
Persistent link: https://www.econbiz.de/10011904613
Saved in:
6
The location of a minimum variance squared distance functional
Landsman, Zinoviy
;
Shushi, Tomer
- In:
Insurance / Mathematics & economics
105
(
2022
),
pp. 64-78
Persistent link: https://www.econbiz.de/10013348932
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