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Predicting annual returns of individual stocks on the Baltic Stock Exchange

Authors: Künnapas, Indrek;

Predicting annual returns of individual stocks on the Baltic Stock Exchange

Abstract

The objective of this master’s thesis is to investigate possibilities of deploying statistical models in predicting annual returns of stocks on the Baltic Stock Exchange. Both, theoretical and practical aspects of linear regression, fixed effects, random effects, mixed effects and auto regressive model, are illustrated.

Countries
Germany, Estonia
Related Organizations
Keywords

fixed effects, fikseeritud mõjud, võrguväljaanded, aktsia turg, lineaarne regressioon, stock market, sega-mõjud, linear regression, mixed effects, random effects, autoregressiivne, magistritööd, juhuslikud mõjud, auto regressive

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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