Time-varying stock market return predictability: Do we have what it takes?
Master thesis
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https://hdl.handle.net/11250/2689178Utgivelsesdato
2020Metadata
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- Master of Science [1622]
Sammendrag
We use a dividend-yield model from Campbell and Shiller (1988) to forecast the future stock
market return on the U.S and Norwegian data from 1984-2018. We use the method from
Cochrane (2008), by regressing a Vector Autoregression (VAR)-system and check for forecasting
power in the long-run. We find that return gives stronger evidence against unforecastable
null-hypothesis for return in the U.S data than the Norwegian data. Norwegian market gives
stronger evidence for the dividend growth. R2 increases in the long-run for dividend growth in
the Norwegian data, while R2 decreases for return. The opposite appears for the U.S data. We
conclude that stock market predictability using the dividend yield model from Campbell and
Shiller (1988) and Cochrane (2008) method gives different results for Norwegian data compared
to the U.S data.
Beskrivelse
Masteroppgave(MSc) in Master of Science in Business, Finance - Handelshøyskolen BI, 2020