On Poisson Sampling for Estimation in Sub-fractional Levy Stochastic Volatility Models

The paper studies quasi-maximum likelihood and generalized method of moments estimators of the parameter in the sub-fractional Levy inverse-Gaussian Ornstein-Uhlenbeck stochastic volatility model based on Poissonly sampled data.

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Publication Details

Journal
European Journal of Statistics
Published
2025-02-24
DOI
https://doi.org/10.28924/ada/stat.5.4
Primary Topic
Financial Risk and Volatility Modeling
Type
article
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article

On Poisson Sampling for Estimation in Sub-fractional Levy Stochastic Volatility Models

Jaya P. N. Bishwal
European Journal of Statistics
Financial Risk and Volatility Modeling
article

On Poisson Sampling for Estimation in Sub-fractional Levy Stochastic Volatility Models

Jaya P. N. Bishwal
article en

Abstract

The paper studies quasi-maximum likelihood and generalized method of moments estimators of the parameter in the sub-fractional Levy inverse-Gaussian Ornstein-Uhlenbeck stochastic volatility model based on Poissonly sampled data.

European Journal of StatisticsVol. 5
University of North Carolina at Charlotte (US)
Openalex Percentile: Top 95%
Financial Risk and Volatility Modeling
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On Poisson Sampling for Estimation in Sub-fractional Levy Stochastic Volatility Models — Jaya P. N. Bishwal · European Journal of Statistics (2025) | TGRS Research Map | TGRS