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  1. 広島大学の刊行物
  2. 広島大学大学院教育学研究科紀要. 第二部, 文化教育開発関連領域
  3. 56号

Modelling and Forecasting Monthly Highest SENSEX Values

https://doi.org/10.15027/22764
https://doi.org/10.15027/22764
4f769bd9-f16a-4366-a85b-9fcb9d094946
名前 / ファイル ライセンス アクション
AA11618725_56_31.pdf AA11618725_56_31.pdf (769.2 KB)
アイテムタイプ デフォルトアイテムタイプ_(フル)(1)
公開日 2023-03-18
タイトル
タイトル Modelling and Forecasting Monthly Highest SENSEX Values
言語 en
作成者 Kageyama, Sanpei

× Kageyama, Sanpei

en Kageyama, Sanpei

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Pal, Subhabaha

× Pal, Subhabaha

en Pal, Subhabaha

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Pal, Satyabrata

× Pal, Satyabrata

en Pal, Satyabrata

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
主題
主題Scheme Other
主題 SENSEX
主題
主題Scheme Other
主題 ARIMA modelling
主題
主題Scheme Other
主題 seasonal model
主題
主題Scheme NDC
主題 410
内容記述
内容記述 First compiled in 1986, SENSEX(Sensitive Index) is a basket of 30 constituent stocks representing a sample of large, liquid and representative companies. The base year of SENAEX is 1978-79 and the base value ie 100. The index widely reported in both domestic and international markets through print as well as electronic media everyday. SENSEX had touched the 10000 landmark in February 2006 and has come within the first three indices in the world in terms of rapid up-down movement. So far as the authors are aware, apporopriate powerful models to generate accurate forecasts of SENSEX values are not available in the literature. In this paper the SENSEX monthly highest time-series data from the period, January 1999 to December 2006, have been used to model the monthly highest values of the SENSEX and to generate future forecasts for the subsequent twelve months till December 2007. The special features of this model.([ARIMA(1,1,6)×(1,0,3)₁₂] selected from among fifty competitive models) are that the forecasts are very close to the future values realized later in January 2007. It had predicted that the SENSEX would touch 1400 landmark in the month of Jnanuary 2007 which, indeed, was the scene. So it can be expected that the remaining forecasts on monthly highest values will also be idential with those SENSEX values representing the real situations destined to prevail in future. The most salient feature is that the R value is found to be 0.983 which indicates that the prediction power of the model is very high, thouge only 96 monthly SENSEX values have been used for prediction and 3 monthly SENSEX values have been reserved for determination of the accuracy of the forecast model.
言語 en
出版者
出版者 広島大学大学院教育学研究科
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ departmental bulletin paper
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
ID登録
ID登録 10.15027/22764
ID登録タイプ JaLC
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 1346-5554
収録物識別子
収録物識別子タイプ NCID
収録物識別子 AA11618725
開始ページ
開始ページ 31
書誌情報 広島大学大学院教育学研究科紀要. 第二部, 文化教育開発関連領域
Bulletin of the Graduate School of Education, Hiroshima University. Part. II, Arts and science education

号 56, p. 31-37, 発行日 2007-12-28
旧ID 22764
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