Non-Gaussian distribution for stock returns and related stochastic differential equation

DOI10.1007/BF00868083zbMath1153.91601WikidataQ115394864 ScholiaQ115394864MaRDI QIDQ1000402

Yuichi Nagahara

Publication date: 6 February 2009

Published in: Financial Engineering and the Japanese Markets (Search for Journal in Brave)

zbMATH Keywords

risk managementlocal linearization methodtype VII and IV family of Pearson system

Mathematics Subject Classification ID

Related Items (4)

A method of calculating the downside risk by multivariate nonnormal distributions ⋮ High-order approximation of Pearson diffusion processes ⋮ Prediction-based estimating functions: review and new developments ⋮ A model of returns for the post-credit-crunch reality: hybrid Brownian motion with price feedback

Cites Work

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• An extensive analysis on the Japanese markets via S. Taylor's model
• Cross-sectional-skew-dependent distribution models for industry returns in the Japanese stock market
• Quantitative methods for portfolio analysis. MTV model approach
• Local linearization method for the numerical solution of stochastic differential equations
• AN APPROXIMATION TO THE DISTRIBUTION OF NON-CENTRAL t
• On Transforming a Certain Class of Stochastic Processes by Absolutely Continuous Substitution of Measures
• A local linearization approach to nonlinear filtering
• Statistical Identification of Nonlinear Random Vibration Systems
• ON CERTAIN NON-NORMAL SYMMETRICAL FREQUENCY DISTRIBUTIONS
• Some problems arising in approximating to probability distributions, using moments
• A new look at the statistical model identification

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