The Application of BARRA Model with different weighted methods in Chinese Stock Market
Advances in Applied Economics and Finance
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Title |
The Application of BARRA Model with different weighted methods in Chinese Stock Market
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Creator |
Bian, Guang
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Subject |
Barra Model; risk ;factors ; active portfolio; preparation
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Description |
Since the factors can represent the components of returns, as seen by the financial analyst, the multiple-factor model is a natural representation of the real environment. Barra multiple-factor model has been widely used in this mature capital market. Many investors use this model to get the estimates of the market risk and pursuit excess returns. As an active and effective model. Barra multiple-factor model can provide us robust and precise risk forecast in stock market. In this paper, Barra multiple-factor model is constructed with some effective factors in Chinese stock market. Then, we analysis the effectiveness of this model by using different weighted methods. After descriptor selection and testing, we choose nine significant factors to establish the Barra multiple-factors model. Through the research of different weighted methods of estimating factor returns, exponentially declining weighted method is better than average weighted method.
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Publisher |
World Science Publisher
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Contributor |
—
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Date |
2012-10-04
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — |
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Format |
application/x-download
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Identifier |
http://worldsciencepublisher.org/journals/index.php/AAEF/article/view/797
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Source |
Advances in Applied Economics and Finance; Vol 2, No 2 (2012); 340-345
2167-6348 |
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Language |
eng
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Relation |
http://worldsciencepublisher.org/journals/index.php/AAEF/article/view/797/638
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Rights |
Copyright NoticeProposed Creative Commons Copyright Notices1. Proposed Policy for Journals That Offer Open AccessAuthors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).Proposed Policy for Journals That Offer Delayed Open AccessAuthors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication, with the work [SPECIFY PERIOD OF TIME] after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
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