RECENT REAL ESTATE PRICE DETERMINANTS IN USA, UK, AND FRANCE
Název práce: | Recent Real-Estate Price Determinants in USA, UK, and France |
---|---|
Autor(ka) práce: | Dragunov, Artur |
Typ práce: | Diploma thesis |
Vedoucí práce: | Zouhar, Jan |
Oponenti práce: | Karel, Tomáš |
Jazyk práce: | English |
Abstrakt: | Real estate is an attractive alternative investment option for diversifying portfolios. However, recent global events such as the Covid-19 pandemic, the war in Ukraine, and the energy crisis have led to rising inflation and interest rates that may cause uncertainty or even a recession in the real estate market. This thesis utilizes weekly data collected from the countries’ real estate platforms to analyze the trends and factors affecting real estate prices in the United States, France, and the United Kingdom from June 26, 2022, to February 26, 2023. We discuss the chosen data collection method’s benefits and drawbacks and review alternative methods with their pros and cons. By using various data visualization and statistical techniques, we aim to understand the behavior of real estate appraisals and determine the features with the highest importance in explaining real estate appraisals during the chosen period. The thesis concludes by examining the research questions and aims of the work, leaving questions for future researchers to consider. |
Klíčová slova: | real estate; data collection; linear regression; real estate appraisals; prediction analysis |
Název práce: | RECENT REAL ESTATE PRICE DETERMINANTS IN USA, UK, AND FRANCE |
---|---|
Autor(ka) práce: | Dragunov, Artur |
Typ práce: | Diplomová práce |
Vedoucí práce: | Zouhar, Jan |
Oponenti práce: | Karel, Tomáš |
Jazyk práce: | English |
Abstrakt: | Real estate is an attractive alternative investment option for diversifying portfolios. However, recent global events such as the Covid-19 pandemic, the war in Ukraine, and the energy crisis have led to rising inflation and interest rates that may cause uncertainty or even a recession in the real estate market. This thesis utilizes weekly data collected from the countries’ real estate platforms to analyze the trends and factors affecting real estate prices in the United States, France, and the United Kingdom from June 26, 2022, to February 26, 2023. We discuss the chosen data collection method’s benefits and drawbacks and review alternative methods with their pros and cons. By using various data visualization and statistical techniques, we aim to understand the behavior of real estate appraisals and determine the features with the highest importance in explaining real estate appraisals during the chosen period. The thesis concludes by examining the research questions and aims of the work, leaving questions for future researchers to consider. |
Klíčová slova: | real estate; data collection; linear regression; real estate appraisals; prediction analysis |
Informace o studiu
Studijní program / obor: | Economic Data Analysis/Data Analysis and Modeling |
---|---|
Typ studijního programu: | Magisterský studijní program |
Přidělovaná hodnost: | Ing. |
Instituce přidělující hodnost: | Vysoká škola ekonomická v Praze |
Fakulta: | Fakulta informatiky a statistiky |
Katedra: | Katedra ekonometrie |
Informace o odevzdání a obhajobě
Datum zadání práce: | 2. 12. 2022 |
---|---|
Datum podání práce: | 29. 4. 2023 |
Datum obhajoby: | 5. 6. 2023 |
Identifikátor v systému InSIS: | https://insis.vse.cz/zp/84466/podrobnosti |