Integrated insurance risk models with exponential Lévy investment
By Claudia Klüppelberg, Radostina Kostadinova. 2008
60 citations recorded by the source corpus.
Subfields: Demography, Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/513a7546fa31930247fb4e1d17b8a3c3519b6a07
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
- Dingcheng Wang
- Kam Chuen Yuen
- Guojing Wang
- Qihe Tang
- Chris C. Heyde
- Gernot J. Müller
- Alexander Szimayer
- Ross Maller
In Economics and Econometrics
- Dingcheng Wang
- Kam Chuen Yuen
- Guojing Wang
- Qihe Tang
- Gernot J. Müller
- Alexander Szimayer
- Ross Maller
- Chris C. Heyde
In Management Science and Operations Research
- Kam Chuen Yuen
- Dingcheng Wang
- Qihe Tang
- Guojing Wang
- Gernot J. Müller
- Alexander Szimayer
- Chris C. Heyde
- Ross Maller
Citations in the corpus
- From light tails to heavy tails through multiplier (2008, methodology): “This constant portfolio is commonly used in mathematical finance; see, for example, Emmer et al. (2001), Klüppelberg and Kostadinova (2008), and references therein.”
- Ornstein–Uhlenbeck Processes and Extensions (2009, background): “The latter is just a notational change; the Xt in (26) is also a Lévy process, defined in terms of the original Lt by Xt = ηt− ∑”
- Uniform tail asymptotics for the stochastic present value of aggregate claims in the renewal risk model (2010, methodology): “This constant investment strategy is commonly used in mathematical finance and actuarial science; see, for example, Emmer et al. (2001), Björk (1998), Emmer and Klüppelberg (2004), Kostadinova (2007), and Klüppelberg and Kostadinova (2008).”
- Finite-time ruin probability with an exponential Lévy process investment return and heavy-tailed claims (2009, methodology): “Provided that the insurance and the investment processes are independent, by Lemma 2.2 of Klüppelberg and Kostadinova (2008), the solution to the SDE (1.1) is Uθ(t) = exp(Lθ (t)) ( x + ∫ t 0 exp(−Lθ(v))(c dv − dS(v)) ) , where Lθ satisfies exp(Lθ ) = (L̂θ ).”