Cargando…
Datasets for testing the performances of jump diffusion models
This article contains datasets related to the research article titled a novel jump diffusion model based on SGT distribution and its applications (”A novel jump diffusion model based on SGT distribution and its applications” (W.J. Xu, G.F. Liu, H.Y. Li, 2016) [1]). The datasets contain continuous co...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144646/ https://www.ncbi.nlm.nih.gov/pubmed/27981199 http://dx.doi.org/10.1016/j.dib.2016.11.014 |
_version_ | 1782473162912432128 |
---|---|
author | Xu, Weijun Liu, Guifang Li, Hongyi |
author_facet | Xu, Weijun Liu, Guifang Li, Hongyi |
author_sort | Xu, Weijun |
collection | PubMed |
description | This article contains datasets related to the research article titled a novel jump diffusion model based on SGT distribution and its applications (”A novel jump diffusion model based on SGT distribution and its applications” (W.J. Xu, G.F. Liu, H.Y. Li, 2016) [1]). The datasets contain continuous composite daily percentage return values which are computed from the daily closing prices. Firstly, we describe statistical properties of the datasets. Then, the datasets are split into two samples, the in-sample data and out-of-sample data. The datasets can be used as benchmarks for testing the performances of jump diffusion models. |
format | Online Article Text |
id | pubmed-5144646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-51446462016-12-15 Datasets for testing the performances of jump diffusion models Xu, Weijun Liu, Guifang Li, Hongyi Data Brief Data Article This article contains datasets related to the research article titled a novel jump diffusion model based on SGT distribution and its applications (”A novel jump diffusion model based on SGT distribution and its applications” (W.J. Xu, G.F. Liu, H.Y. Li, 2016) [1]). The datasets contain continuous composite daily percentage return values which are computed from the daily closing prices. Firstly, we describe statistical properties of the datasets. Then, the datasets are split into two samples, the in-sample data and out-of-sample data. The datasets can be used as benchmarks for testing the performances of jump diffusion models. Elsevier 2016-11-10 /pmc/articles/PMC5144646/ /pubmed/27981199 http://dx.doi.org/10.1016/j.dib.2016.11.014 Text en © 2017 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Xu, Weijun Liu, Guifang Li, Hongyi Datasets for testing the performances of jump diffusion models |
title | Datasets for testing the performances of jump diffusion models |
title_full | Datasets for testing the performances of jump diffusion models |
title_fullStr | Datasets for testing the performances of jump diffusion models |
title_full_unstemmed | Datasets for testing the performances of jump diffusion models |
title_short | Datasets for testing the performances of jump diffusion models |
title_sort | datasets for testing the performances of jump diffusion models |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144646/ https://www.ncbi.nlm.nih.gov/pubmed/27981199 http://dx.doi.org/10.1016/j.dib.2016.11.014 |
work_keys_str_mv | AT xuweijun datasetsfortestingtheperformancesofjumpdiffusionmodels AT liuguifang datasetsfortestingtheperformancesofjumpdiffusionmodels AT lihongyi datasetsfortestingtheperformancesofjumpdiffusionmodels |