Predictions of market values are important for investment decisions and risk management of banking institutions, developers and, last but not least, households. Increased access to real estate market data and reducing valuatin costs were one of the most important reasons to be interested in developing and subsequent using of automated valuation models (AVM) worldwide. However, the implementation of AVM in the Czech Republic is still limited to a minimum. The aim of the thesis is to theoretically describe some alternative statistical methods used by AVM, such as fuzzy logic, ANN, spatial econometrics or hedonic models, characterize AVM, their use and analyze their current application in the Czech Republic and outline further possible development.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:408047 |
| Date | January 2019 |
| Creators | Šmardová, Eva |
| Contributors | Jandásková, Tereza, Cupal, Martin |
| Publisher | Vysoké učení technické v Brně. Ústav soudního inženýrství |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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