The aim of the thesis is the determination of investment cash flows generated from Finnish market development activities of a selected Russia-based small company, performing investment valuation using discounted cash flow method and presenting improvements which can rise the attractiveness for potential investors. It includes comprehensive investment valuation of the selected company at the seed stage of its` development, including the overview of current financial situation, usage a valuation model followed by stable growth and terminal value determination. Provided and copulated data serves as an example of complete valuation model for capital injections of future projects in the company, thanks to which the author is able to come to particular conclusions on the funding perspectives for the company. The results obtained through the analysis is assessed through the critical prism to be used as a basis for further suggestions on improvement.

Venture capital (VC) plays an increasing role as part of the private equity asset class and the general investment continuum. The lack of transparency due to limited reportings and market data obstructs a concise view on VC investment value and performance. This thesis aims to shed some light on VC investment peculiarities and their effect in valuation terms. It primarily reflects on the implications of contractual rights on the investment value. In the first chapter, I present an approach to integrate the multi-perspective of VC investment and analyze the interaction effects of control and cash flow rights on the feasibility of follow-on funding based on the value position of investors. In the second chapter, I present a joint study by Prof. Dr. Schwetzler, Dr. Schreiter, Dr. Lodowicks and myself where we propose a valuation framework that is applied to a sample of primarily European ventures to derive investment level values and assess misvaluation when using simple heuristics instead. In the third chapter, a joint work by Dr. Schreiter, Dr. Lodowicks and myself is presented where we develop a prediction model that allows to derive more accurate estimates of VC investments.

The thesis focus on the reconversion church building in the selected location. At the beginning of the work described church buildings and their influence on the surrounding, the structure of the Roman Catholic Church and the development of church property during the history. This is complemented by theoretical terms and possible methods of valuing cultural monument. The practical part deals with the reconversion church building, specifically the Dominican monastery in Znojmo. Based on an analysis of Znojmo and monastery was suggesting possible use of the monastery. Of these, two variants were selected and were compared. Of these two options, one was chosen as the most suitable option for future use.

This diploma thesis focuses on the highest and best use analysis (HABU) of property. In first chapters there is mention about current legislation, theoretical terms and methods of property valuation in Czech republic. The next chapter describes a methodology for the highest and best use analysis. The analysis itself was applied to real case, specifically to a former storage area of the construction company, which is located in Brno - Maloměřice. For this area were designed scenarios of possible use and four of them were chosen using tests of HABU analysis. In the end, one of them was chosen which is being considered the highest and best use for this property.

Introducing more intermittent renewable energy sources in the energy system makes the role of balancing power more important. Furthermore, an increased infeed from intermittent renewable energy sources also has the effect of creating lower and more volatile electricity prices. Hence, investing in balancing power is prone to high risks with respect to expected profits, which is why a good representation of electricity prices is vital in order to motivate future investments. We propose a stochastic multi-factor model to be used for simulating the long-run dynamics of electricity prices as input to investment valuation of power generation assets. In particular, the proposed model is used to assess the impact of electricity price dynamics on investment decisions with respect to balancing power generation, where a combined heat and power plant is studied in detail. Since the main goal of the framework is to create a long-term representation of electricity prices so that the distributional characteristics of electricity prices are maintained, commonly cited as seasonality, mean reversion and spikes, the model is evaluated in terms of yearly duration which describes the distribution of electricity prices over time. The core aspects of the framework are derived from the mean-reverting Pilipovic model of commodity prices, but where we extend the assumptions in a multi-factor framework by adding a functional link to the supply- and demand for power as well as outdoor temperature. On average, using the proposed model as a way to represent future prices yields a maximum 9 percent overand underprediction of duration respectively, a result far better than those obtained by simpler models such as a seasonal profile or mean estimates which do not incorporate the full characteristics of electricity prices. Using the different aspects of the model, we show that variations of electricity prices have a large impact on the investment decision with respect to balancing power. The realized value of the flexibility to produce electricity in a combined heat and power plant is calculated, which yields a valuation close to historical realized values. Compared with simpler models, this is a significant improvement. Finally, we show that by including characteristics such as non-constant volatility and spiky behavior in investment decisions, the expected value of balancing power generators, such as combined heat and power plants, increases. / I takt med att fler intermittenta förnyelsebara energikällor tillför el i dagens energisystem, blir också balanskraftens roll i dessa system allt viktigare. Vidare så har en ökning av andelen intermittenta förnyelsebara energikällor även effekten att de bidrar till lägre men också mer volatila elpriser. Därmed är även investeringar i balanskraft kopplade till stora risker med avseende på förväntade vinster, vilket gör att en god representation av elpriser är central vid investeringsbeslut. Vi föreslår en stokastisk flerfaktormodell för att simulera den långsiktiga dynamiken i elpriser som bas för värdering av generatortillgångar. Mer specifikt används modellen till att utvärdera effekten av elprisers dynamik på investeringsbeslut med avseende på balanskraft, där ett kraftvärmeverk studeras i detalj. Eftersom huvudmålet med ramverket är att skapa en långsiktig representation av elpriser så att deras fördelningsmässiga karakteristika bevaras, vilket i litteraturen citeras som regression mot medelvärde, säsongsvariationer, hög volatilitet och spikar, så utvärderas modellen i termer av årlig prisvaraktighet som beskriver fördelningen av elpriser över tid. Kärnan i ramverket utgår från Pilipovic-modellen av råvarupriser, men där vi utvecklar antaganden i ett flerfaktorramverk genom att lägga till en länkfunktion till tillgång- och efterfrågan på el samt utomhustemperatur. Vid användande av modellen som ett sätt att representera framtida priser, fås en maximal över- och underprediktion av prisvaraktighet om 9 procent, ett resultat som är bättre än det som ges av enklare modellering såsom säsongsprofiler eller enkla medelvärdesestimat som inte tar hänsyn till elprisernas fulla karakteristika. Till sist visar vi med modellens olika komponenter att variationer i elpriser, och därmed antaganden som används i långsiktig modellering, har stor betydelse med avseende på investeringsbeslut i balanskraft. Det realiserade värdet av flexibiliteten att producera el för ett kraftvärmeverk beräknas, vilket ger en värdering nära faktiska realiserade värden baserade på historiska priser och som enklare modeller inte kan konkurrera med. Slutligen visar detta också att inkluderandet av icke-konstant volatilitet och spikkarakteristika i investeringsbeslut ger ett högre förväntat värde av tillgångar som kan producera balanskraft, såsom kraftvärmeverk.