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Quantitative Link between Founder-CEOs and Total Shareholder Return
Chyba, Jakub ; Kočenda, Evžen (advisor) ; Gregor, Martin (referee)
In our work we aim to study the effect of Founder-CEO presence in a company on excess shareholder returns. Hence, this work continues in the footsteps of asset pricing literature studying statistical effects of variables such as of Beta, Size and Price to Book ratio. We gather data on panel of NASDAQ 100 companies and note presence of firm and time effect in our data. In this situation we use two methodologies to try to tackle the issues in our data. Specifically, we employ Hausman Taylor approach and Fama Macbeth regression. We find some evidence in favour of Founder-CEO effect, yet overall we arrive to inconclusive results. Our Hausman Taylor approach arrives to positive statistically significant effect at Founder- CEOs, while Fama Macbeth arrives to insignificant effect. We note that different issues with endogeneity might be an important factor behind the difference, yet we argue that given our options the methods employed are valid choices.
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Statistical properties of the liquidity and its influence on the volatility prediction
Brandejs, David ; Krištoufek, Ladislav (advisor) ; Burda, Martin (referee)
This master thesis concentrates on the influence of liquidity measures on the prediction of volatility and given the magic triangle phenomena subsequently on the expected return. Liquidity measures Amihud Illiquidity, Amivest Liquidity and Roll adjusted for high frequency data have been utilized. Dataset used for the modeling was consisting of 98 shares that were traded on S&P 100. The time range was from 1st January 2013 to 31st December 2014. We have found out that the liquidity truly enters into the return-volatility relationship and influences these variables - the magic triangle interacts. However, contrary to our hypothesis, the model shows up that lower liquidity signifies lower realized risk. This inference has been suggested by all three models (3SLS, 2SLS and OLS). Furthermore, we have used the realized variance and bi-power variation to separate the jump. Our second hypothesis that lower liquidity signifies higher frequency of jumps was confirmed only for one of two liquidity proxies (Roll) included in the resulting logit FE model. Keywords liquidity, risk, volatility, expected return, magic triangle, price jumps, realized variance, bi-power variation, three-stage least squares model, logit, high-frequency data, S&P 100 Author's e-mail david.brandejs@seznam.cz Supervisor's e-mail...
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Arbitrage Pricing Theory
Mengler, Jan ; Hebák, Petr (advisor) ; Peřina, Milan (referee)
Determination of the stock expected return is an important element of asset management. This paper presents an Arbitrage Pricing Theory model, which strives to estimate the expected return explaining the historical volatility of the stock prices. This paper presents the model as it was introduced, necessary extension for application to a small market included. Statistical methods on which the model has been build are discussed -- factor analysis completed by principal component analysis. In the practical part, the model is applied to the Czech market with an assessment of the success of the application. The forces which were expected to represent risk factors for the market have been examined as well. It will be shown that the model may contribute to the understanding of risk behaviour of the stocks.
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