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dc.contributor.author김진영-
dc.creator김진영-
dc.date.accessioned2016-08-25T06:08:33Z-
dc.date.available2016-08-25T06:08:33Z-
dc.date.issued2007-
dc.identifier.otherOAK-000000027609-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/181638-
dc.identifier.urihttp://dcollection.ewha.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000027609-
dc.description.abstractKOSPI Index Fund can be analyzed by the moving average, which is a technical analysis method developed to forecast the future movement of se-curity price. Moving average is a simple mathematical model which can be simply drafted into a program and the crosses clearly show the trend signals of the trading trend. In this thesis, we calculate the profit and loss based on the moving average of the security price index and trading signals in the crosses, and consider about the limitations forecasting the future price movement using the moving average.;주가지수의 미래 가격 움직임을 예측하기 위해 개발되어온 기술적 분석 방법 중에 이동평균을 이용하여 KOSPI 지수를 분석할 수 있다. 이동평균은 수학적 간단한 모델로 쉽게 프로그램화할 수 있고 크로스가 보여주는 매매신호는 명확하게 추세신호를 나타낸다. 이 논문에서는 주가지수에 대한 이동평균과 크로스에 따른 매매신호와 주가지수 손익을 계산해보고 이동평균으로 미래 가격 움직임 예측함에 있어 한계점 생각해본다.-
dc.description.tableofcontentsChapter 1 Introduction = 2 Chapter 2 Investment Strategies using Moving Averages = 3 2.1 Base Concept of Moving Averages = 3 2.2 Types of Moving Averages = 8 2.2.1 Simple Moving Average (SMA) = 8 2.2.2 Linear Weighted Moving Average = 9 2.2.3 Exponential Moving Average (EMA) = 10 2.3 Merits and Demerits of Simple Moving Averages = 10 Chapter 3 A Case Study for KOSPI Index Fund = 14 Chapter 4 Computational Results = 26 Chapter 5 Conclusions = 32-
dc.formatapplication/pdf-
dc.format.extent579216 bytes-
dc.languageeng-
dc.publisher이화여자대학교 대학원-
dc.subject.ddc510-
dc.titleOptimal Investment Strategies using Moving Averages and a case study for KOSPI Index Fund-
dc.typeMaster's Thesis-
dc.creator.othernameKim, Jin Young-
dc.format.pageⅰ, 36 p.-
dc.identifier.thesisdegreeMaster-
dc.identifier.major대학원 수학과-
dc.date.awarded2007. 8-
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일반대학원 > 수학과 > Theses_Master
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