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Longitudinal Analysis of Barra Multi Factor Model Using R

DC Field Value Language
dc.contributor.advisorMynghee Cho Paik-
dc.contributor.author김한나-
dc.date.accessioned2017-07-19T08:45:54Z-
dc.date.available2017-07-19T08:45:54Z-
dc.date.issued2015-02-
dc.identifier.other000000026632-
dc.identifier.urihttps://hdl.handle.net/10371/131302-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2015. 2. Myunghee Cho Paik.-
dc.description.abstractBarra multi factor model has been widely used in this mature capital market. Many investors use this model to obtain the estimates of the market risk and excess returns. In this paper, Barra multi factor model framework is constructed by longitudinal data analysis, linear mixed effects model, in Korea stock market since the idea of each company is correlated and then consideration of random effect is appropriate. This application might be quite useful to fit a data and gives a good explanation.-
dc.description.tableofcontentsContents

1. Introduction 1

2. Statistical Methods 3

3. Data Description 8

4. Application to MSCI Korea Equity Data 14

5. Conclusion and Discussion 20



Bibliography 21

Abstract in Korean 23
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dc.formatapplication/pdf-
dc.format.extent2850995 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectLinear mixed effects model-
dc.subjectrandom effect-
dc.subjectBarra multi factor model-
dc.subjectMSCI Korea Equity Index-
dc.subject.ddc519-
dc.titleLongitudinal Analysis of Barra Multi Factor Model Using R-
dc.typeThesis-
dc.description.degreeMaster-
dc.citation.pages23-
dc.contributor.affiliation자연과학대학 통계학과-
dc.date.awarded2015-02-
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