Thesis deals with appreciation of real estate investment before sale. Theoretical part of the thesis is describing basic concepts from the field of valuation of property and basic concepts of investment. There were also summarized basic types of investments, evaluation methods and financial expenses related to investment. Practical part of the thesis is focused on specific property, where were realized construction work. First of all were researched financial expenses of construction work, i.e. investment cost. The property was evaluated by three hypothetical variants of investment. Calculation of expenses related to borrowed capital followed. At the end of the thesis, the survey data were evaluated and compared.

This thesis is focused on the valuation of buildings of the company AREAL SLATINA, a.s. Based on the theoretical background we defined advantages and disadvantages of valuation approaches. The purpose of the thesis is to propose an optimal valuation method while taking into account the specifics of the market and intentions of the Company.

Dividend policy is widely researched in financial management, but determining whether it affects the market price per share is difficult. There has been much published on the subject, which presented theories such as the Modigliani, Miller, Gordon, Lintner, Walter and Richardson propositions and the relevance and irrelevance theories. However, little research has been done on the impact of dividend policy on shareholders’ wealth while considering the short- and long-run effects. The Vector Error Correction Model (VECM) was used to describe the short-run and long-run dynamics or the adjustment of the cointegrated variables towards their equilibrium values in South Africa. This study attempts to explain the effect of dividend policy on the market price per share. A sample of 46 companies listed on the Johannesburg Securities Exchange (JSE) was selected for the period 1995-2010. Three variables were used, namely the market price per share, the dividend per share and the earnings per share. The market price per share was used as a proxy in measuring shareholders’ wealth and the dividend per share was used as a proxy in measuring the dividend policy. Fixed and random effects models were applied to panel data to determine the relation between dividend policy and market price per share. The fixed effects method was used to control the stable characteristics of the companies over a fixed period. The random effects model was applied when the companies’ characteristics differed. Results for both models indicated that dividend yield is positively related to market price per share, while earnings per share do not have a significant impact on the market price per share. To test the strength of the long-run relationship, the VECM was applied. The coefficient for dividend per share in the co-integrating equation was positive, while the coefficient for earnings per share was negative. This confirms previous research findings. The results suggest that there is a long-run relationship between dividend per share and market price per share. The Granger causality test indicates there is bi-directional Granger causality between market price per share and dividend per share in South Africa. Therefore dividend policy does have a significant long-run impact on the share price and therefore provides a signal about the company’s financial success. / Dissertation (MCom)--University of Pretoria, 2012. / Financial Management / Unrestricted

My thesis deals with the influence of reconstruction of the long-lasting elements on the market price of the property, specifically on the family house. For a case study, I chose reconstruction of the roof, and its load-bearing part, because the reconstruction of this long-lasting element can be found in most cases. A case study is solved in the form of valuation of house before and after reconstruction, and it is done by two methods: according to the decree,by the comparison method and market valuation and also comparative method.

Under de senaste åren har Haninge kommun i Stockholms län valt att utveckla sitt bostadsbestånd genom att dels bygga i så kallade miljonprogramsområden och i nya delar av kommunen. Detta kandidatexamensarbete undersöker prisskillnaden mellan bostadsrättslägenheter på successionsmarknaden respektive nyproduktionsmarknaden. Studien har avgränsats till två- och trerumslägenheter i Haninge kommun och inkluderar områdena Handen, Brandbergen, Vega, Vendelsö, Jordbro, Västerhaninge och Tungelsta. Dessa områden valdes ut eftersom att de består av en stor andel bostadsrätter. Analysen har visat att försäljningspriserna på nyproduktionsmarknaden alltid varit högre än försäljningspriserna på successionsmarknaden under tidsintervallet 2011-2018. Ett intressant resultat var att prisskillnaden mellan de två marknaderna minskat under den senaste tiden. För att förklara orsaken bakom priserna undersöktes olika faktorers inverkan på försäljningspriset med hjälp av en förenklad multipel regressionsanalys. Totalt gjordes 3505 observationer med fokus på faktorerna månadsavgift, boytan samt läge. Resultatet indikerar på att Vendelsö är det dyraste området att bo på jämfört med andra områden i Haninge kommun och att närmare avstånd till Haninges centrum inte alltid innebär ett högre transaktionspris. / Over the past few years a lot of new construction has taken place in Haninge Municipality in Stockholm County, partly in areas with housing from the so called million programme but also in new places. This bachelor thesis examines the price difference between tenant owned apartments on the succession market and on the new production market. The study has been delimited to apartments containing only two or three rooms in the Haninge Municipality and includes the areas Handen, Brandbergen, Vega, Vendelsö, Jordbro, Västerhaninge and Tungelsta. These areas were selected due to their large proportion of tenant owned apartments. The analysis showed that the price of a newly produced apartment are always higher than an apartment on the succession market for the time period of 2011-2018. An interesting result was that the price difference between the two markets has declined lately. To further explain the reason behind the pricing, different factors that has an impact on the selling price has been examined by utilising a simplified multiple regression analysis. A total of 3505 observations were made with a focus on the factors monthly fee, living space and location. The result indicated that Vendelsö is the most expensive area to live in compared to other areas in Haninge and that a shorter distance to the center of the Municipality does not always implicate a higher transaction price.

Hoje no mercado brasileiro de eletricidade, o preço da energia convencional é composto pela soma do valor do Preço de Liquidação das Diferenças (PLD) divulgado pela Câmara de Comercialização de Energia Elétrica (CCEE) semanalmente com o valor do Spread negociado bilateralmente no mercado à vista (mercado de curto prazo), resultante do equilíbrio entre oferta e demanda. Em alguns momentos, o valor do Spread chega a representar mais de 100% do custo total da energia. Este trabalho faz uma análise do mercado brasileiro, bem como, de alguns mercados no exterior de energia elétrica e destaca os pontos que tem influência direta, na formação do Spread da energia convencional e como isso afeta a decisão de contratação dos agentes. Além disso, o trabalho busca encontrar correlações entre dados divulgados, como carga e oferta de energia, com o ágio negociado no mercado de curto prazo, buscando entender o real impacto de cada um desses fatores e explicar as grandes variações já observadas. Sugere-se também um modelo de regressão linear múltipla para a projeção de valores do ágio. Para tanto, foram utilizadas informações proveniente de um banco de dados de cotações de negócios efetivamente realizados no curto prazo desde janeiro de 2011 até julho de 2014, bem como informações retiradas da CCEE e Operador Nacional do Sistema (ONS). / The Brazilian wholesales energy market price is formed by de sum of the PLD (Market Clearing Price which is released weekly by the Commercial Chamber) and a Spread value, resulting from the negotiation between the market agents. In some cases, the Spread represent more than 100% of the energy total cost. This paper presents an overview about some energy markets, focusing the Brazilian Energy Market, so as to highlight points that affect the Spread value at the spot market and, as consequence, the strategy of the market agents. Additionally, this paper shows the correlation between energy demand and energy offer and energy spread negotiated at the short term market, trying to understand the real impact of each variable trying to get the right explanation regarding the big variations observed. It has been suggested a mathematical model of multiple linear regression to forecast the spread value. In order to accomplish this purpose it was used (i) a historical data of effectively trading situations at the short term market, comprising the period between January 2011 to July 2014, as well as (ii) informations released by the Commercial Chamber (CCEE) and the System Operator (ONS).

Hoje no mercado brasileiro de eletricidade, o preço da energia convencional é composto pela soma do valor do Preço de Liquidação das Diferenças (PLD) divulgado pela Câmara de Comercialização de Energia Elétrica (CCEE) semanalmente com o valor do Spread negociado bilateralmente no mercado à vista (mercado de curto prazo), resultante do equilíbrio entre oferta e demanda. Em alguns momentos, o valor do Spread chega a representar mais de 100% do custo total da energia. Este trabalho faz uma análise do mercado brasileiro, bem como, de alguns mercados no exterior de energia elétrica e destaca os pontos que tem influência direta, na formação do Spread da energia convencional e como isso afeta a decisão de contratação dos agentes. Além disso, o trabalho busca encontrar correlações entre dados divulgados, como carga e oferta de energia, com o ágio negociado no mercado de curto prazo, buscando entender o real impacto de cada um desses fatores e explicar as grandes variações já observadas. Sugere-se também um modelo de regressão linear múltipla para a projeção de valores do ágio. Para tanto, foram utilizadas informações proveniente de um banco de dados de cotações de negócios efetivamente realizados no curto prazo desde janeiro de 2011 até julho de 2014, bem como informações retiradas da CCEE e Operador Nacional do Sistema (ONS). / The Brazilian wholesales energy market price is formed by de sum of the PLD (Market Clearing Price which is released weekly by the Commercial Chamber) and a Spread value, resulting from the negotiation between the market agents. In some cases, the Spread represent more than 100% of the energy total cost. This paper presents an overview about some energy markets, focusing the Brazilian Energy Market, so as to highlight points that affect the Spread value at the spot market and, as consequence, the strategy of the market agents. Additionally, this paper shows the correlation between energy demand and energy offer and energy spread negotiated at the short term market, trying to understand the real impact of each variable trying to get the right explanation regarding the big variations observed. It has been suggested a mathematical model of multiple linear regression to forecast the spread value. In order to accomplish this purpose it was used (i) a historical data of effectively trading situations at the short term market, comprising the period between January 2011 to July 2014, as well as (ii) informations released by the Commercial Chamber (CCEE) and the System Operator (ONS).

This thesis proposes a theory of inefficient markets that uses limited rational choice as a central trait and I call it the theory of Homo comperiens. The theory limits the alternatives and states that the subjects are aware of and only allow them to have rational preference relations on the limited action set and state set, i.e. limited rationality is introduced. With limited rational choice, I drive a wedge between the market price and the intrinsic value and thus create an arbitrage market. In the theory, the subjects are allowed to gain knowledge about something that they previously were unaware of. As the discovery proceeds, the arbitrage opportunities disappear, and the market prices regress towards the intrinsic values. The theory is applied to firms and market-pricing models for a Homo comperiens environment is a result. The application of the theory to firms also leads to testable propositions that I test on a uniquely comprehensive Swedish accounting database that cover the years 1978—1994. Hypotheses are tested which argues that risk-adjusted residual rates-of-returns exist. The null hypotheses argue that risk-adjusted residual rates-of-returns do not exist (since they assume a no-arbitrage market). The null hypotheses are rejected in favor of their alternatives at a 0.0 percent significance level. The tests use approximately 22,200 observations. I also test hypotheses which argue that risk-adjusted residual rates-of-returns regress to zero with time. The null hypotheses are randomly walking risk-adjusted residual rates-of-returns, which are rejected in favor of the alternative hypotheses. The hypotheses are tested using panel regression models and goodness-of-fit tests. I reject the null hypotheses of random walk at a 0.0 percent significance level. Finally, the results are validated using out-of-sample predictions where my models compete with random-walk predictions. It finds that the absolute prediction errors from my models are between 12 to 24 percent less than the errors from the random walk model. These results are significant at a 0.0 percent significance level.

The main aim of the diploma thesis is to determine the market value of a corporation for the purpose of choosing an alternative to maintain the owner's regular financial income or to ochieve a one-off income from the sale of this business corporation. The chosen company was MADETA a. S. The DCF method was chosen for the award. The characteristics of the selected company, the strategic and financial analysis, the value generators and the financial plan are processed. All this was used to determine the market value of the corporate corporation as of December 31, 2015. In the end of the thesis, the alternative of maintaining the owner's regular financial income or a one-off income from the sale is evaluated.

Cette thèse porte sur les relations entre le Système Communautaire d'Échange de Quotas d'Émission (SCEQE) et les marchés de l'énergie. Une attention particulière est donnée au changement de combustible, le principal moyen de réduire les émissions de CO2 à court-terme dans le SCEQE. Cela consiste à substituer des centrales gaz aux centrales charbon dans la production d'électricité en dehors des heures de pointes. Ainsi, les centrales charbon fonctionnent sur de plus courtes périodes, ce qui permet de réduire les émissions de CO2. Le Chapitre 1 décrit différentes approches expliquant les relations entre les marchés de l'énergie et du CO2. Une revue de littérature est ensuite présentée. Nous donnons une description détaillée du processus de changement de combustible. En particulier, l'influence de l'efficacité des centrales est analysée. Le Chapitre 2 fournit une étude théorique de l'impact des différences d'efficacité parmi les centrales gaz pour le changement de combustible. Le principal résultat montre que la sensibilité du prix du CO2 vis-à-vis du prix du gaz dépend du niveau des émissions de CO2.Le Chapitre 3 examine les interactions entre les prix de l'électricité, du charbon, du gaz et du CO2 dans une étude empirique. Les résultats montrent une qu'il existe une relation significative entre le gaz et le CO2 à l'équilibre de long-terme. Le Chapitre 4 étudie le processus de découverte des informations qui influencent laformation des prix du gaz et du CO2. La forte relation entre le gaz et le CO2 indique que leurs prix sont affectés par les mêmes informations. Nous montrons dans une étude empirique que le marché du CO2 domine le processus de découverte de ces informations. / This thesis investigates relationships between the European Union Emission Trading Scheme (EU ETS) and energy markets. A special focus is given to fuel switching, the main shortterm abatement measure within the EU ETS. This consists in substituting Combined Cycle Gas Turbines (CCGTs) for hard-coal plants in off-peak power generation. Thereby coal plants run for shorter periods, which allows power producers to reduce their CO2 emissions. In Chapter 1, we outline different approaches explaining relationships between carbon and energy markets. We also review the literature relating to these issues. Next, we further describe the fuel switching process and, in particular, we analyze the influence of energy and environmental efficiency of thermal power plants (coal and gas) on fuel switching. In Chapter 2, we provide a theoretical analysis that shows how differences in the efficiency of CCGTs can rule interactions between gas and carbon prices. The main result shows that the allowance price becomes more sensitive to the gas price when the level of CO2 emissions increases. In Chapter 3, we examine interactions between carbon, coal, gas and electricity prices in an empirical study. Among the main results, we find that there is a significant link between carbon and gas prices in the long-run equilibrium.In Chapter 4, we analyze the cross-market price discovery process between gas and CO2 markets. We identified in previous chapters that there is a robust significant link between gas and CO2 markets. They are linked commodities, and their prices are affected by the same information. In an empirical analysis, we find that the carbon market is the leader in cross-market price discovery process.