Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/137606
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- Title
- Tailweight, quantiles and kurtosis : a study of competing distributions
- Related
- Operations research letters, Vol. 35, No. 4, (2007), p.448-454
- DOI
- 10.1016/j.orl.2006.07.003
- Publisher
- Elsevier
- Date
- 2007
- Author/Creator
- Fung, Thomas
- Author/Creator
- Seneta, Eugene
- Description
- This paper studies analytically and numerically the tail behavior of the symmetric variance-gamma (VG), t, and exponential-power (EP) distributions. Special emphasis is on the VG, which is a direct competitor of the t in the financial context of modeling the distribution of log-price increments.
- Description
- 7 page(s)
- Subject Keyword
- Exponential-power (EP) distribution
- Subject Keyword
- Kurtosis
- Subject Keyword
- Laplace distribution
- Subject Keyword
- Mixing on normal variance
- Subject Keyword
- Origin neighborhood
- Subject Keyword
- Quantiles
- Subject Keyword
- Symmetric
- Subject Keyword
- t-Distribution
- Subject Keyword
- Tailweight
- Subject Keyword
- Variance-gamma (VG) distribution
- Resource Type
- journal article
- Organisation
- Macquarie University. Dept. of Statistics
- Identifier
- http://hdl.handle.net/1959.14/137606
- Identifier
- ISSN:0167-6377
- Identifier
- mq_res-ext-2-s2.0-34248512976
- Language
- eng
- Reviewed
