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Volumn 44, Issue 2, 2009, Pages 159-163

Worst VaR scenarios: A remark

Author keywords

Comonotonicity; Copulas; Dependent risks; Value at Risk; Worst case scenarios

Indexed keywords


EID: 63449107051     PISSN: 01676687     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.insmatheco.2008.10.006     Document Type: Article
Times cited : (16)

References (14)
  • 7
    • 33747873837 scopus 로고    scopus 로고
    • Bounds for functions of dependent risks
    • Embrechts P., and Puccetti G. Bounds for functions of dependent risks. Finance and Stochastics 10 (2006) 341-352
    • (2006) Finance and Stochastics , vol.10 , pp. 341-352
    • Embrechts, P.1    Puccetti, G.2
  • 8
    • 0001503499 scopus 로고
    • Best-possible bounds for the distribution of a sum - A problem of Kolmogorov
    • Frank M.J., Nelsen R.B., and Schweizer B. Best-possible bounds for the distribution of a sum - A problem of Kolmogorov. Probability Theory and Related Fields 74 (1987) 199-211
    • (1987) Probability Theory and Related Fields , vol.74 , pp. 199-211
    • Frank, M.J.1    Nelsen, R.B.2    Schweizer, B.3
  • 10
  • 11
    • 26844529718 scopus 로고    scopus 로고
    • Some asymptotic results for sums of dependent random variables, with actuarial applications
    • Laeven R.J.A., Goovaerts M.J., and Hoedemakers T. Some asymptotic results for sums of dependent random variables, with actuarial applications. Insurance: Mathematics and Economics 37 2 (2005) 154-172
    • (2005) Insurance: Mathematics and Economics , vol.37 , Issue.2 , pp. 154-172
    • Laeven, R.J.A.1    Goovaerts, M.J.2    Hoedemakers, T.3
  • 12
    • 0348029368 scopus 로고
    • Estimates for the distribution function of the sum of two random variables with given marginal distributions
    • Makarov G.D. Estimates for the distribution function of the sum of two random variables with given marginal distributions. Theory of Probability and its Applications 26 (1981) 815-817
    • (1981) Theory of Probability and its Applications , vol.26 , pp. 815-817
    • Makarov, G.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.