Semi-parametric modelling in finance: theoretical foundations
By N. H. Bingham, Rüdiger Kiesel. 2002
129 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/4b1d8f34d2501843b3c816bb963123ec23883ac3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Emiliano A. Valdez
- Zinoviy Landsman
- Saralees Nadarajah
- Andrew Chernih
- Johana Nešlehová
- Serena Dipierro
- Enrico Valdinoci
- Rafael Schmidt
In Finance
- Emiliano A. Valdez
- Zinoviy Landsman
- Saralees Nadarajah
- Rafael Schmidt
- Andrew Chernih
- Johana Nešlehová
- Serena Dipierro
- Enrico Valdinoci
Citations in the corpus
- Wang’s capital allocation formula for elliptically contoured distributions (2003, background): “See for example Embrechts, et al. (2001) and Bingham and Kiesel (2002).”
- Tail Conditional Expectations for Elliptical Distributions (2003, background): “In general, though, we find that we can express λ in (4) as”
- Stein's Lemma for elliptical random vectors (2008, methodology): “[5], Bingham and Kiesel [1] and McNeil et al.”
- The Kotz-type distribution with applications (2003, methodology): “modeling of returns of assests in a financial portfolio (Bingham and Kiesel, 2002). The Kotz type distribution also has applications in Bayesian regression models, see ArellanoValle et al. (2002). 356 S.”
- A semi-parametric approach to risk management (2003, background): “For background, see Fang et al (1990, chapter 2), Bingham and Kiesel (2002).”
- Description of an ecological niche for a mixed local/nonlocal dispersal: An evolution equation and a new Neumann condition arising from the superposition of Brownian and Lévy processes (2021, methodology): “We also remark that diffusive operators of mixed order naturally arise in probabilistic problems for infinitely divisible distributions via the Lévy-Khintchine formula and find applications in different fields of applied sciences, including phylogeny (see [32]) and finance (see [9]).”