Asymptotic option pricing under pure-jump Lévy processes via nonlinear regression
From MaRDI portal
Publication:458120
DOI10.1016/J.JKSS.2010.10.001zbMath1296.91268OpenAlexW2068863951MaRDI QIDQ458120
Seongjoo Song, Jongwoo Song, Jaehong Jeong
Publication date: 30 September 2014
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jkss.2010.10.001
Processes with independent increments; Lévy processes (60G51) Applications of statistics to actuarial sciences and financial mathematics (62P05) General nonlinear regression (62J02) Derivative securities (option pricing, hedging, etc.) (91G20)
Cites Work
- Unnamed Item
- Unnamed Item
- Nonparametric estimation for Lévy processes from low-frequency observations
- Volatility estimators for discretely sampled Lévy processes
- Integrated insurance risk models with exponential Lévy investment
- Processes of normal inverse Gaussian type
- Hyperbolic distributions in finance
- Lévy density estimation via information projection onto wavelet subspaces
- Estimation of the characteristics of a Lévy process
- Optimal investment for insurers when the stock price follows an exponential Lévy process
- Retrieving risk neutral densities based on risk neutral moments through a Gram-Charlier series expansion
- Asymptotic option pricing under a pure jump process
- Density Estimation of Lévy Measures for Discretely Observed Diffusion Processes with Jumps
- Nonparametric estimation of time-changed Lévy models under high-frequency data
- CONTINGENT CLAIMS VALUED AND HEDGED BY PRICING AND INVESTING IN A BASIS
- Empirical properties of asset returns: stylized facts and statistical issues
- Financial Modelling with Jump Processes
This page was built for publication: Asymptotic option pricing under pure-jump Lévy processes via nonlinear regression