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Evaluation of the Financial Situation of a Company
Harbichová, Kamila ; Kočí, Iva (referee) ; Kocmanová, Alena (advisor)
The diploma thesis occupies with the evaluation of financial health of the company Východočeská plynárenská, a. s. by traditional and less famous methods of financial analysis. It presents suggestions to improvement the company´s financial situation on the basis of financial analysis´s results. Contains a recommendation to use the concept of economic value added as complex tool for evaluation of financial situation.
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MULTI CRITERION OPTIMIZATION IN INCOME EVALUATION OF REAL ESTATE
Horalík, Jan ; Puchýř, Bohumil (referee) ; Abraham, Karel (referee) ; Marková, Leonora (advisor)
The income evaluation is one of the basic methods to establish a price of a real estate. It deals with a discount rate. But there is any obligatory methods how to establish the discount rate. The principle of yield property valuation method is the determination of future net profits transferred to the present value. The amount of the discount rate is affected by the large amount of criteria that take into account the risks associated with the property. The risk represents the financial loss which the owner of real estate created if the immovable thing ceased to produce such income, which is calculated in the valuation. But at present experts the risks associated with the real estate does not quantify and discount rate is determined mostly by the professional estimate. The main aim of the Ph.D. Theses is to propose a methodology to more accurately determine the discount rate. This methodology will be based on the free risk rate and risk premiums. The free risk rate shall be determined on the basis of income on government bonds, which are considered the least risky asset. Risk premiums will reflect the technical quality of the property, economy of real estate and legal level of real estate through eleven criteria. The discount rate could be by this methodology simply calculated using the software support of Microsoft Excel.
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Stock Ownership Structure and Related Risk Premium
Rosický, Ondřej ; Baruník, Jozef (advisor) ; Kočenda, Evžen (referee)
Goal of this thesis is to discover the possible risk premium for stocks with respect to their ownership structure. We work with two types of investors, retail and institutional. Those types of investors have different expectations, preferences and behave differently in certain market events. We built the long-short IMR (institutional minus retail) factor as difference in returns of top and bottom portfolios based on proportion of institutional ownership and added this factor to Fama and French Three Factor Model. There is approximately 0.23 % risk premium for stocks with high share of institutional owners. Further we also try to find the possible impact of nominal stock price on ownership structure. With higher nominal price there is higher institutional ownership. On the other hand, this impact is negligible for low and high percentage share of institutional ownership, therefore IMR factor could not be substituted by the nominal stock price. Lastly, we tried to discover what causes the abnormal returns after the execution date. We found out that with increase in retail ownership by 1 p.p., the abnormal returns are higher in one week after stock split execution date by 0.8 p.p. That is in line with earlier discovered risk premium because with the decrease in the portion of institutional ownership...
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Rare Disasters and Asset Pricing Puzzles
Kotek, Martin ; Maršál, Aleš (advisor) ; Korbel, Václav (referee)
The impact of rare disasters on equity premium and term premium in a New Keynesian DSGE model is explored in the thesis. Andreasen's (2012) model with Epstein-Zin preferences, bonds and a rare disaster shock in total factor productivity process is extended by a variable capital stock and an equity-type asset. We find that the variable capital significantly changes behavior of the model, capital depreciation must be substantially increased to counter the effect of variable capital and stochastic mean of inflation increases. The model calibrated to the US economy and a high risk aversion generates 10-year term premium of 90 basis points, rare disasters increase the premium only by 3 basis points. The equity premium is 163 basis points and rare disasters increase it also only by 3 basis points. The model with a low coefficient of relative risk aversion of 5.5 generates negative risk premia. Rare disasters increase the risk premia by mere 4 basis points in comparison to a model with i.i.d. shocks. Powered by TCPDF (www.tcpdf.org)
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Asset Prices, Network Connectedness, and Risk Premium
Procházková, Vendula ; Baruník, Jozef (advisor) ; Kukačka, Jiří (referee)
This diploma thesis introduces the measures of network connectedness in the context of asset pricing. It proposes an asset pricing model in which the factor of connectedness is included as one of the risk factors together with the three Fama-French factors. The goal of the analysis is to examine whether the con- nectedness represents a signifcant risk factor that should be considered while determining the risk premium of the portfolio in diferent sectors in the market. Using the realized volatilities and returns of 496 assets of SP 500 index over the period 2005 - 2018, that are divided into 11 sectors, we frstly determine the linkages of connectedness between the assets in the same sector. Applying Fama-MacBeth two-step regression model, we explore the signifcance of the connectedness factor for the determination of the risk premium. We argue that the sector overall connectedness represents a signifcant risk in most of the sec- tors and should be therefore taken into account by the investors in all sectors. Moreover, the total directional connectedness that captures the spillover of shocks to one asset from the other assets in the sector, is a signifcant risk fac- tor that should increase the risk premium of the portfolio, especially in sectors such as the fnancial, health care, consumer...
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Rare Disasters and Asset Pricing Puzzles
Kotek, Martin ; Maršál, Aleš (advisor) ; Korbel, Václav (referee)
The impact of rare disasters on equity premium and term premium in a New Keynesian DSGE model is explored in the thesis. Andreasen's (2012) model with Epstein-Zin preferences, bonds and a rare disaster shock in total factor productivity process is extended by a variable capital stock and an equity-type asset. We find that the variable capital significantly changes behavior of the model, capital depreciation must be substantially increased to counter the effect of variable capital and stochastic mean of inflation increases. The model calibrated to the US economy and a high risk aversion generates 10-year term premium of 90 basis points, rare disasters increase the premium only by 3 basis points. The equity premium is 163 basis points and rare disasters increase it also only by 3 basis points. The model with a low coefficient of relative risk aversion of 5.5 generates negative risk premia. Rare disasters increase the risk premia by mere 4 basis points in comparison to a model with i.i.d. shocks. Powered by TCPDF (www.tcpdf.org)
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On the Link between Spot and Forward Power Prices: A Comparative Analysis of German and Hungarian Power Market Efficiency
Harnych, Pavel ; Krištoufek, Ladislav (advisor) ; Doležel, Pavel (referee)
This thesis examines the impact of shocks in spot prices on long-term forward contracts in power markets. A unique comparison of efficiency of German and Hungarian power markets is provided. The risk premium on week-ahead forward contract is scrutinized by both data inspection and by unbiased forward rate hypothesis (UFRH) testing. Additionally, the ex-post market's prediction error for this product is explained by main drivers of spot electricity price, which are presented in section devoted to introduction to power markets. Expectedly, Hungarian forwards with longer time-to-delivery are found to react heavily on spot market shocks after controlling for changes in short-run marginal costs of conventional power plants. Such outcome applies both to intra-day and weekly time horizons. However, this evidence was not found for German market. These results point out to immaturity and the presence of inefficiencies in Hungarian power market. However, Hungarian risk premia on week-ahead and day-ahead forward products turn out to be considerably lower than for Germany. This was confirmed by UFRH tests on week-ahead forward contracts, where a significant risk premium was found in Germany as opposed to Hungarian risk premium. This finding is surprising since Hungarian spot prices are more prone to upward...
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MULTI CRITERION OPTIMIZATION IN INCOME EVALUATION OF REAL ESTATE
Horalík, Jan ; Puchýř, Bohumil (referee) ; Abraham, Karel (referee) ; Marková, Leonora (advisor)
The income evaluation is one of the basic methods to establish a price of a real estate. It deals with a discount rate. But there is any obligatory methods how to establish the discount rate. The principle of yield property valuation method is the determination of future net profits transferred to the present value. The amount of the discount rate is affected by the large amount of criteria that take into account the risks associated with the property. The risk represents the financial loss which the owner of real estate created if the immovable thing ceased to produce such income, which is calculated in the valuation. But at present experts the risks associated with the real estate does not quantify and discount rate is determined mostly by the professional estimate. The main aim of the Ph.D. Theses is to propose a methodology to more accurately determine the discount rate. This methodology will be based on the free risk rate and risk premiums. The free risk rate shall be determined on the basis of income on government bonds, which are considered the least risky asset. Risk premiums will reflect the technical quality of the property, economy of real estate and legal level of real estate through eleven criteria. The discount rate could be by this methodology simply calculated using the software support of Microsoft Excel.
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Evaluation of the Financial Situation of a Company
Harbichová, Kamila ; Kočí, Iva (referee) ; Kocmanová, Alena (advisor)
The diploma thesis occupies with the evaluation of financial health of the company Východočeská plynárenská, a. s. by traditional and less famous methods of financial analysis. It presents suggestions to improvement the company´s financial situation on the basis of financial analysis´s results. Contains a recommendation to use the concept of economic value added as complex tool for evaluation of financial situation.
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