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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Size, Value and Momentum in Frontier Markets : Testing for Fama-French-Carhart Factors and Market Efficiency in Frontier Markets

Petersen, John N., Spieker, Sven January 2019 (has links)
As more and more investors look to diversify their portfolios further, their attentions have moved past emerging markets in recent years, towards the so-called frontier markets. Frontier markets are less developed and liquid than emerging markets but offer tremendous opportunities for investors willing to allocate capital into them. This thesis will look into the applicability of global, as well as Frontier Fama-French-Carhart four-factor models within these markets and what the consequences are in terms of the efficient market hypothesis. The factor models will try to explain returns based on Size, Value and Momentum, as the literature has shown that asset pricing models tend to have difficulties explaining these strategies. Our findings indicate that Global Fama-French factors do partially explain long-only returns, yet Frontier Fama-French-Carhart factors appear more suitable. However, the results indicate that there is a factor missing in Frontier Fama-French-Carhart factors, which could explain the excess returns. Moreover, as we did not find statistically significant and positive intercepts for all applied Momentum strategies against the Frontier and Global Fama-French-Carhart factors (not even in the robustness test), we cannot reject the weak efficient market hypothesis. However, dollar-neutral Size and Value strategies (also the combined portfolio with dollar-neutral Momentum) seem to consistently outperform Frontier and Global factors.
2

Models explaining the average return on the Stockholm Stock Exchange

Jämtander, Jämtander January 2018 (has links)
Using three different models, we examine the determinants of average stock returns on the Stockholm Stock Exchange during 2012-2016. By using time-series data, we find that a Fama-French three-factor model (directed at capturing size and book-to-market ratio) functions quite well in the Swedish stock market and is able to explain the variation in returns better than the traditional CAPM. Additionally, we investigated if the addition of a Price/Earning variable to the Fama-French model would increase the explanatory power of the expected returns of the different dependent variables portfolios. We conclude that the P/E ratio does not influence the expected returns in the sample we used.

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