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Risk model for real estate assets: Analysis and development
Koubková, Klára ; Parrák, Radovan (advisor) ; Maršál, Aleš (referee)
The main aim of this thesis is to design a new and more advanced methodology for valuation of real estate portfolios and incorporate uncertainty into the valuation process. From the comprehensive real estate literature we identified the main value drivers whose treatment is often neglected in the traditional appraisal methodology as they are used as a single point estimates. The identified parameters are the discount rate, inflation, prime rent, occupancy and market capital value changes. In contrast with the traditional approach, we calibrate distributions of these parameters from historical data and allow their variation through the Monte Carlo simulation. This enables us to model their impact on the market value of our real estate portfolio, which comprises of A-class office buildings with detailed property level data including their lease structure. The methodology presented here builds on the widely used DCF approach, which is augmented by the risk parameters and through the thousands of iterations of the Monte Carlo simulation we arrive to a distribution of all potential values of the portfolio. Finally, the knowledge of relevant risk factors and their impact on returns of their property portfolio then provides investors with better and more reliable foundations for their decisions and...
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Risk model for real estate assets: Analysis and development
Koubková, Klára ; Parrák, Radovan (advisor) ; Maršál, Aleš (referee)
The main aim of this thesis is to design a new and more advanced methodology for valuation of real estate portfolios and incorporate uncertainty into the valuation process. From the comprehensive real estate literature we identified the main value drivers whose treatment is often neglected in the traditional appraisal methodology as they are used as a single point estimates. The identified parameters are the discount rate, inflation, prime rent, occupancy and market capital value changes. In contrast with the traditional approach, we calibrate distributions of these parameters from historical data and allow their variation through the Monte Carlo simulation. This enables us to model their impact on the market value of our real estate portfolio, which comprises of A-class office buildings with detailed property level data including their lease structure. The methodology presented here builds on the widely used DCF approach, which is augmented by the risk parameters and through the thousands of iterations of the Monte Carlo simulation we arrive to a distribution of all potential values of the portfolio. Finally, the knowledge of relevant risk factors and their impact on returns of their property portfolio then provides investors with better and more reliable foundations for their decisions and...
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Real estates as an investment instrument
Ryznar, Vojtěch ; Veselá, Jitka (advisor) ; Dušek, David (referee)
The diploma thesis "Real estates as an investment instrument" is focused on direct investments into real estates. There is a brief description how to invest into the real estate in general point of view, in the first chapter. Basic terms related to real estates are defined and described here as well as influencing factors. The next section consists of different types of analyses dealing with measuring investments with the help of "the magic triangle" yield, liability and liquidity. In order to provide a full range of understanding, an analytical example is also introduced. The last part of the thesis involves a comparison of investment into real estates and other investment instruments. Finally, property analysis with portfolio diversification and an anti-inflationary investment is run. The main objective of this thesis is to introduce a compact view at one of investment possibilities -- investment into real estates.
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