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Daily stock index return for the Canadian, UK, and US equity markets, compiled by Morgan Stanley Capital International, obtained from Datastream

The data presented in this article are related to the research article entitled “Testing and comparing the performance of dynamic variance and correlation models in value-at-risk estimation. North American Journal of Economics and Finance, 40, 116–135. doi:10.1016/j.najef.2017.02.006 (Li, 2017) [1]....

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Detalles Bibliográficos
Autor principal: Li, Leon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5848063/
https://www.ncbi.nlm.nih.gov/pubmed/29541682
http://dx.doi.org/10.1016/j.dib.2017.12.045
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author Li, Leon
author_facet Li, Leon
author_sort Li, Leon
collection PubMed
description The data presented in this article are related to the research article entitled “Testing and comparing the performance of dynamic variance and correlation models in value-at-risk estimation. North American Journal of Economics and Finance, 40, 116–135. doi:10.1016/j.najef.2017.02.006 (Li, 2017) [1]. Data on daily stock index return for the Canadian, UK, and US equity markets, as compiled by Morgan Stanley Capital International, are provided in this paper. The country indices comprise at least 80% of the stock market capitalization of each country. The data cover the period from January 1, 1990, through September 8, 2016, and include 6963 observations. All stock prices are stated in dollars.
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spelling pubmed-58480632018-03-14 Daily stock index return for the Canadian, UK, and US equity markets, compiled by Morgan Stanley Capital International, obtained from Datastream Li, Leon Data Brief Economics, Econometrics and Finance The data presented in this article are related to the research article entitled “Testing and comparing the performance of dynamic variance and correlation models in value-at-risk estimation. North American Journal of Economics and Finance, 40, 116–135. doi:10.1016/j.najef.2017.02.006 (Li, 2017) [1]. Data on daily stock index return for the Canadian, UK, and US equity markets, as compiled by Morgan Stanley Capital International, are provided in this paper. The country indices comprise at least 80% of the stock market capitalization of each country. The data cover the period from January 1, 1990, through September 8, 2016, and include 6963 observations. All stock prices are stated in dollars. Elsevier 2017-12-21 /pmc/articles/PMC5848063/ /pubmed/29541682 http://dx.doi.org/10.1016/j.dib.2017.12.045 Text en © 2018 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 Economics, Econometrics and Finance
Li, Leon
Daily stock index return for the Canadian, UK, and US equity markets, compiled by Morgan Stanley Capital International, obtained from Datastream
title Daily stock index return for the Canadian, UK, and US equity markets, compiled by Morgan Stanley Capital International, obtained from Datastream
title_full Daily stock index return for the Canadian, UK, and US equity markets, compiled by Morgan Stanley Capital International, obtained from Datastream
title_fullStr Daily stock index return for the Canadian, UK, and US equity markets, compiled by Morgan Stanley Capital International, obtained from Datastream
title_full_unstemmed Daily stock index return for the Canadian, UK, and US equity markets, compiled by Morgan Stanley Capital International, obtained from Datastream
title_short Daily stock index return for the Canadian, UK, and US equity markets, compiled by Morgan Stanley Capital International, obtained from Datastream
title_sort daily stock index return for the canadian, uk, and us equity markets, compiled by morgan stanley capital international, obtained from datastream
topic Economics, Econometrics and Finance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5848063/
https://www.ncbi.nlm.nih.gov/pubmed/29541682
http://dx.doi.org/10.1016/j.dib.2017.12.045
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