Multi-Scale Predictability for Emerging Foreign Exchange Markets

Detta är en Kandidat-uppsats från Linköpings universitet/Nationalekonomi

Författare: Olle Dahlén; Anton Ask Åström; [2016]

Nyckelord: ;

Sammanfattning: Expanding the work done by Bekiros and Marcellino [2013] to emerging markets will give a better understanding of the prediction power of artificial neural networks with a wavelet design. The finan- cial perspective discussed will be from an investor or traders view with possible strategies and policies. Investors who seek a better un- derstanding of future volatility or a trader that wishes to improve the prediction of returns can learn from our conclusions. Continu- ously improving prediction models is a difficult but rewarding task, especially considering the effort and resources already invested in the area. The investments in emerging markets have been on a de- cline the past years but still has the possibility to bloom into a more attractive choice. 

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