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GIS Business : An Overview is a peer-reviewed scholarly journal and aims to publish original articles, review articles, case reports, short communications, etc. Journal indexed in SCOPUS, papers are not indexed. Send papers to editor@gisbusiness.org

Multivariate Causal Estimates of Dividend Yields, Price Earning Ratio and Expected Stock Returns: Malaysian Evidence


The study examines the relationship among Malaysian’s market stock return, dividend yields and price earnings ratio. Specifically, it examines the existence of long-run and short-run relationship and also their predictive power (causality) between and among market stock return, dividend yields and price earnings. Using the monthly data from 1989-2005, the study finds that all these fundamental variables have a strong long run relationship. As for the short run relationship, the results show significant positive predictive power from dividend yield to stock return and significant negative relation from stock returns to price earning ratios. In addition, applying multivariate causality test, the results show that both dividend yields and price earning ratio Granger cause (predict) the stock return. Similar results are found from stock returns and P/E ratio to dividend yield, as well as from dividend yield and stock returns to P/E ration but with lesser magnitude. Thus, fundamental variables are an important source of information in determining stock market returns and useful to investors and other market participants in deciding their investment strategies. Keywords: Stock return, dividend yield, price earning ratio, Malaysian market.

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