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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

Dreaming of Beating the Market : A Fundamental Analysis Study on the Stockholm Stock Exchange

Andersson, Emmy, Draskovic, Darko January 2011 (has links)
The aim of this paper is to test and further improve fundamental analysis models developed by Piotroski (2000) and Rados and Lovric (2009). The improvement seeks to reverse the information in the previous models by taking relative importance and strength of both positive and negative fundamental signals into consideration. The theoretical framework used includes the efficient market hypothesis, fundamental analysis and investing in high book-to-market companies. The Piotroski model, two Rados’s and Lovric’s models and two variations of our model were tested on a portfolio consisting of high book-to-market companies from the Stockholm Stock Exchange during the period 1999-2008. The results show that our EDA Model was the most successful at identifying short selling candidates, as EDA Low portfolio rendered market adjusted returns of -19% on average. Moreover, our EDC model was the best performing at identifying buy-and-hold candidates, with an average annual market adjusted return of 31,5%. The success of our models implies that the market is not using the information captured by them fully and in a timely manner.
2

A Value Relevant Fundamental Investment Strategy : The use of weighted fundamental signals to improve predictability

Eliasson, Martin, Malik, Khawar, Österlund, Benjamin January 2011 (has links)
The aim of this study is to investigate the possibility to improve the investment model defined in Piotroski (2000) and the subsequent research carried out on this model. Our model builds further upon the original fundamental score put forth by Piotroski. This further developed model is tested in two different contexts; firstly, a weighted fundamental score is developed that is updated every year in order to control for any changes in the predictive ability of fundamental signals over time. Secondly, the behavior of this score is analyzed in context of recession and growth cycles of the macro economy. Our findings show that high book-to-market portfolio consist of poor performing firms, as shown by Fama and French (1995) and is thereby outperformed by both Piotroski's F_score and our own developed scores. The score based on a rolling window correlation is performing a little better then F_score, but the score based on correlations for prior Up and Down periods is not. The conclusions we draw from the results are that improvements have to be made, both to F_score and our own developments, to sort winners from loser to get an even more profitable zero-investment hedge strategy.

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