Line-of-sight stability in unmanned aerial vehicle relays for hybrid free-space optical and visible light communication links under atmospheric effects. [PDF]
Sliti M +5 more
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Modeling DNA storage retrieval reliability via sequencing coverage depth. [PDF]
Cao R, Zhou P, Chen X.
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Prediction of hidden blood loss after intramedullary nail fixation of femoral shaft fractures in elderly patients: development and validation of a clinical nomogram based on Gamma regression. [PDF]
Zhao Y, Guo W, Ke C, Wang J.
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Flexible yet Sparse Bayesian Survival Models With Time-Varying Coefficients and Unobserved Heterogeneity. [PDF]
Knaus P +3 more
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Effects of motor imagery brain-computer interface task on quantitative EEG features in patients with prolonged disorders of consciousness. [PDF]
Gao Z +7 more
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The Variance Gamma Scaled Self-Decomposable Process in Actuarial Modelling [PDF]
A scaled self-decomposable stochastic process put forward by Carr, Geman, Madan and Yor (2007) is used to model long term equity returns and options prices. This parsimonious model is compared to a number of other one-dimensional continuous time stochastic processes (models) that are commonly used in finance and the actuarial sciences.
Conall O'Sullivan, Michael Moloney
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The Variance Gamma Process and Option Pricing
Review of Finance, 1998Abstract A three parameter stochastic process, termed the variance gamma process, that generalizes Brownian motion is developed as a model for the dynamics of log stock prices. Theprocess is obtained by evaluating Brownian motion with drift at a random time given by a gamma process.
Carr, P, Madan, DB, Chang, EC
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The pricing of compound option under variance gamma process by FFT
Communications in Statistics - Theory and Methods, 2020In this paper, we price a compound option with log asset price following an extended variance gamma process. The extended variance gamma process can control the skewness and kurtosis.
Cuixiang Li +3 more
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A generalized variance gamma process for financial applications
Quantitative Finance, 2012In this work we propose a new multivariate pure jump model. We fully characterize a multivariate Levy process with finite- and infinite-activity components in positive and negative jumps. This process generalizes the variance gamma process, featuring a ‘stochastic volatility’ effect due to Poisson randomized intensities of positive and negative gamma ...
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