Parameter Estimation for the Square-Root Diffusions: Ergodic and Nonergodic Cases
By M. Ben Alaya, Ahmed Kebaier. 2012
64 citations recorded by the source corpus.
Subfields: Finance, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/57f501f174bc447d3ddc872be6b674f88f97e31e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Mathieu Rosenbaum
- Thibault Jaisson
- M. Ben Alaya
- Ahmed Kebaier
- Omar El Euch
- Eduardo Abi Jaber
- Paul Jusselin
- Jim Gatheral
In Mathematical Physics
- Mathieu Rosenbaum
- Thibault Jaisson
- M. Ben Alaya
- Ahmed Kebaier
- Emmanuel Bacry
- Jean-François Muzy
- Eduardo Abi Jaber
- Alexandre B. Tsybakov
Citations in the corpus
- Limit theorems for nearly unstable Hawkes processes (2013, methodology): “Considering an intermediate scale, where the process behaves like a CIR model, one can use statistical methods specifically developed in order to estimate CIR parameters, see [3] for a survey.”
- Asymptotic Behavior of the Maximum Likelihood Estimator for Ergodic and Nonergodic Square-Root Diffusions (2013, methodology): “…and Kebaier study the seperate asymptotic behavior of ( X t , t 0 X s ds ) and t 0 ds X s (see Propositions 1 and 2 of [1]) and prove the following result Theorem 1 Let ( X t ) t 0 be a CIR process solution to (2), we have 1. as t tends to infinity, where ( R t ) t 0 is the CIR process starting…”