View : 1039 Download: 0

Full metadata record

DC Field Value Language
dc.contributor.advisor안재윤-
dc.contributor.author권유희-
dc.creator권유희-
dc.date.accessioned2016-08-26T04:08:26Z-
dc.date.available2016-08-26T04:08:26Z-
dc.date.issued2016-
dc.identifier.otherOAK-000000127036-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/214996-
dc.identifier.urihttp://dcollection.ewha.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000127036-
dc.description.abstractHerd behavior는 경제 현상을 설명하는 데에 중요한 역할을 한다. 따라서 본 논문에서는 RHIX(Kim. et al, 2013 [1])를 사용하여 미국 주식 시장의 herd behavior를 분석하고, 이를 변동성 지수인 VIX와 비교하는 연구를 한다. 우리는 분석을 위해 2006년부터 2016년 까지 다우존스 주가지수를 사용한다.;Herd behavior has an important role in explaining in economic phenomenon, especially in relation with the recent stagnation. Here, we investigate herd behavior in American stock markets using the herd behavior index in Kim. et al, 2013 [1]. The proposed herd behavior index in Kim. et al, 2013 [1] is shown to be a useful (standardized) measure of herd behaviors. For the data analysis, we use selected stocks in Dow Jones from 2006 to 2016. As a measure of fear in the stock market, we compare the performance of proposed index with volatility index, VIX (Brenner et al, 1989 [5]).-
dc.description.tableofcontentsⅠ. Introduction 1 Ⅱ. Conventions 2 Ⅲ. Preliminaries 3 1. Correlation 3 2. Comononicity 4 Ⅳ. Herd behavior indices 5 1. Herd behavior index 5 2. The Revised herd behavior index 6 3. Volatility index 7 Ⅴ. Numerical Illustration 9 1. Data 9 2. Comparative analysis and results 11 Ⅵ. Conclusion 17 References 18-
dc.formatapplication/pdf-
dc.format.extent1204966 bytes-
dc.languageeng-
dc.publisher이화여자대학교 대학원-
dc.subject.ddc500-
dc.titleAnalyzing Herd Behavior in American Stock Markets-
dc.typeMaster's Thesis-
dc.title.subtitleComparisons among Companies-
dc.title.translated미국 주식 시장 Herd Behavior 분석 : 기업들 간의 비교-
dc.format.pageiii, 20 p.-
dc.identifier.thesisdegreeMaster-
dc.identifier.major대학원 통계학과-
dc.date.awarded2016. 8-
Appears in Collections:
일반대학원 > 통계학과 > Theses_Master
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE