IDEAS home Printed from https://ideas.repec.org/a/vrs/remava/v24y2016i4p35-46n4.html
   My bibliography  Save this article

Fundamental Analysis – Possiblity of Application on the Real Estate Market

Author

Listed:
  • Figurska Marta

    (Faculty of Geodesy, Geospatial and Civil Engineering, University of Warmia and Mazury in Olsztyn)

  • Wisniewski Radoslaw

    (Faculty of Geodesy, Geospatial and Civil Engineering, University of Warmia and Mazury in Olsztyn)

Abstract

The most common method supporting investing on the capital market or making decisions on the real estate market is technical analysis. This article, however, focuses on the less popular fundamental analysis, the importance of which is increasing on internationals markets, especially fully-developed ones.Fundamental analysis is used for long-term predictions of values of future phenomena, based on historical data and any factors likely to affect the level of supply and demand. The final result of its use is an appraisal the true value of the subject of valuation, or so-called fundamental (intrinsic) value.Using this method to analyze, diagnose and forecast economic phenomena, as well as become familiar with the market in terms of its fundamentals, positively influences the process of taking investment measures and leads to a better understanding of the real estate market.The aim of the following study is to describe the possibility of applying fundamental analysis on the real estate market, based on the principles existing on capital markets. This article serves as an introduction to the subject-matter as well as the beginning of series of publications dedicated to different aspects of conducting fundamental analysis in the context of the real estate market.

Suggested Citation

  • Figurska Marta & Wisniewski Radoslaw, 2016. "Fundamental Analysis – Possiblity of Application on the Real Estate Market," Real Estate Management and Valuation, Sciendo, vol. 24(4), pages 35-46, December.
    • Handle: RePEc:vrs:remava:v:24:y:2016:i:4:p:35-46:n:4
    DOI: 10.1515/remav-2016-0028
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/remav-2016-0028
    Download Restriction: no
    File URL: https://libkey.io/10.1515/remav-2016-0028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ute Bonenkamp & Carsten Homburg & Alexander Kempf, 2011. "Fundamental Information in Technical Trading Strategies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(7-8), pages 842-860, September.
    2. Simon Yu Kit Fung & Lixin (Nancy) Su & Xindong (Kevin) Zhu, 2010. "Price Divergence from Fundamental Value and the Value Relevance of Accounting Information," Contemporary Accounting Research, John Wiley & Sons, vol. 27(3), pages 829-854, September.
    3. Gao, Yan & Li, Honggang, 2011. "A consolidated model of self-fulfilling expectations and self-destroying expectations in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 77(3), pages 368-381, March.
    4. Hong, KiHoon & Wu, Eliza, 2016. "The roles of past returns and firm fundamentals in driving US stock price movements," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 62-75.
    5. Christian Hott & Pierre Monnin, 2008. "Fundamental Real Estate Prices: An Empirical Estimation with International Data," The Journal of Real Estate Finance and Economics, Springer, vol. 36(4), pages 427-450, May.
    6. Wanfeng Yan & Ryan Woodard & Didier Sornette, 2014. "Inferring fundamental value and crash nonlinearity from bubble calibration," Quantitative Finance, Taylor & Francis Journals, vol. 14(7), pages 1273-1282, July.
    7. Lavin, Angeline M & Zorn, Thomas S, 2001. "Empirical Tests of the Fundamental-Value Hypothesis in Land Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 22(1), pages 99-116, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    2. Lam, Kevin C.K. & Sami, Heibatollah & Zhou, Haiyan, 2013. "Changes in the value relevance of accounting information over time: Evidence from the emerging market of China," Journal of Contemporary Accounting and Economics, Elsevier, vol. 9(2), pages 123-135.
    3. Dirk Drechsel & Anne Kathrin Funk, 2017. "Time-Varying and Regional Dynamics in Swiss Housing Markets," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 153(I), pages 37-72, March.
    4. Anna Agliari & Pasquale Commendatore & Ilaria Foroni & Ingrid Kubin, 2014. "Expectations and industry location: a discrete time dynamical analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(1), pages 3-26, April.
    5. Gerunov, Anton, 2014. "Критичен Преглед На Основните Подходи За Моделиране На Икономическите Очаквания [A Critical Review of Major Approaches for Modeling Economic Expectations]," MPRA Paper 68797, University Library of Munich, Germany.
    6. Ansgar Belke & Jonas Keil, 2018. "Fundamental Determinants of Real Estate Prices: A Panel Study of German Regions," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(1), pages 25-45, February.
    7. Efthymios Pavlidis & Alisa Yusupova & Ivan Paya & David Peel & Enrique Martínez-García & Adrienne Mack & Valerie Grossman, 2016. "Episodes of Exuberance in Housing Markets: In Search of the Smoking Gun," The Journal of Real Estate Finance and Economics, Springer, vol. 53(4), pages 419-449, November.
    8. Hott, Christian, 2015. "A model of mortgage losses and its applications for macroprudential instruments," Journal of Financial Stability, Elsevier, vol. 16(C), pages 183-194.
    9. Schaberl, Philipp D., 2016. "Beyond accounting and back: An empirical examination of the relative relevance of earnings and “other” information," Advances in accounting, Elsevier, vol. 35(C), pages 98-113.
    10. John Fry & McMillan David, 2015. "Stochastic modelling for financial bubbles and policy," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1002152-100, December.
    11. Christian Hott, 2009. "Banks and Real Estate Prices," Working Papers 2009-08, Swiss National Bank.
    12. Wai-Mun Chia & Mengling Li & Huanhuan Zheng, 2017. "Behavioral heterogeneity in the Australian housing market," Applied Economics, Taylor & Francis Journals, vol. 49(9), pages 872-885, February.
    13. Chang, Yuk Ying & Anderson, Hamish & Shi, Song, 2018. "China and international housing price growth," China Economic Review, Elsevier, vol. 50(C), pages 294-312.
    14. Yuen-Meng Wong, 2016. "Malaysia REITs: First Decade Development and Returns Characteristics," International Real Estate Review, Global Social Science Institute, vol. 19(3), pages 371-409.
    15. Jamshid Ardalankia & Mohammad Osoolian & Emmanuel Haven & G. Reza Jafari, 2019. "Scaling Features of Price-Volume Cross-Correlation," Papers 1903.01744, arXiv.org, revised Aug 2020.
    16. Bergman, U. Michael & Sørensen, Peter Birch, 2021. "The interaction of actual and fundamental house prices: A general model with an application to Sweden," Journal of Housing Economics, Elsevier, vol. 54(C).
    17. Brent W. Ambrose & Piet Eichholtz & Thies Lindenthal, 2013. "House Prices and Fundamentals: 355 Years of Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2‐3), pages 477-491, March.
    18. Monica Azqueta-Gavaldon & Gonzalo Azqueta-Gavaldon & Inigo Azqueta-Gavaldon & Andres Azqueta-Gavaldon, 2020. "Developing a real estate yield investment deviceusing granular data and machine learning," Papers 2008.02629, arXiv.org.
    19. Kouwenberg, Roy & Zwinkels, Remco, 2014. "Forecasting the US housing market," International Journal of Forecasting, Elsevier, vol. 30(3), pages 415-425.
    20. Hong, KiHoon & Wu, Eliza, 2016. "The roles of past returns and firm fundamentals in driving US stock price movements," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 62-75.

    More about this item

    Keywords

    fundamental analysis; intrinsic value; fundamental factors; real estate market;
    All these keywords.

    JEL classification:

    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • D46 - Microeconomics - - Market Structure, Pricing, and Design - - - Value Theory
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:remava:v:24:y:2016:i:4:p:35-46:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.