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Teoh Kah Seng
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mathematics

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FORECASTING BY REGRESSION ANALYSIS: A CASE STUDY OF LOCAL STOCK EXCHANGE MARKET BASED ON FOREIGN MARKETS Muhamad Safiih Lola; Norizan Muhammed; Teoh Kah Seng
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 3, No 1 (2003)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v3i1.551

Abstract

Regression analysis is one of the most widely used techniques for analyzing multifactor data. The application ofregression analysis in stock market is a statistical technique used to forecast and to analyze teh factors that influnce the stockmarket. By using the “multiple linear regression”, studies have been done in obtaining the best regression model to doforecasting. The common types of “multiple linear regression” to be studied here would be estimation of the model parameters,hypothesis testing and confidence intervals. The foreign stock markets for this reasearch are Hang Seng, All Ordinaries, Nikkei225, Dow Jones and FTSE 100. The data are collected from 1 january to 31 December 2002. as result, that the closing value forKLSE is related to at least one regressors and the closing values for Nikkei 225 and Dow Jones have strong influence on theclosing value for KLSE
Co-Authors Muhamad Safiih Lola Norizan Muhammed