IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v16y2023i10p446-d1260733.html
   My bibliography  Save this article

Understanding the Effects of Market Volatility on Profitability Perceptions of Housing Market Developers

Author

Listed:
  • Shahab Valaei Sharif

    (School of Planning, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada)

  • Dawn Cassandra Parker

    (School of Planning, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada)

  • Paul Waddell

    (Department of City and Regional Planning, University of California, Berkeley, CA 94720, USA)

  • Ted Tsiakopoulos

    (Canada Mortgage and Housing Corporation (CMHC), Toronto, ON M5J 1S9, Canada)

Abstract

Drastic shifts in prices and housing market trends in recent years, representing shocks to the housing system, have led many residential developers to pause or cancel their projects. In the already heated housing markets of the Greater Toronto Area (GTA), these supply frictions can have ramifications for affordability. Our study formulates a standardized “proforma” model of the profitability of a hypothetical condominium project in the city of Toronto, Canada, scheduled between 2019 to 2023, to explore the combined effect of developers’ price expectations and market volatility on developers’ decisions. Using the proposed proforma, we first identify the key drivers of development decisions. We then evaluate the impact of the expectation formation of key factors influencing perceived development profitability, including construction costs, sales prices, and interest rates, on the financial feasibility of potential developments. The results highlight that boundedly rational expectations can cause variations in profitability perceptions and potentially reverse development decisions in volatile market conditions. Our results highlight the sources of risk and uncertainty in development decisions, facilitating the recognition of possible solutions to mitigate these risks and increase affordable housing supplies. The proposed model can also enhance the realism of decision models in agent-based representations of land and housing markets.

Suggested Citation

  • Shahab Valaei Sharif & Dawn Cassandra Parker & Paul Waddell & Ted Tsiakopoulos, 2023. "Understanding the Effects of Market Volatility on Profitability Perceptions of Housing Market Developers," JRFM, MDPI, vol. 16(10), pages 1-34, October.
  • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:10:p:446-:d:1260733
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/16/10/446/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/16/10/446/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin, Carolin & Schmitt, Noemi & Westerhoff, Frank, 2021. "Heterogeneous expectations, housing bubbles and tax policy," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 555-573.
    2. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-3.
    3. Fennee Chong, 2023. "Housing Price and Interest Rate Hike: A Tale of Five Cities in Australia," JRFM, MDPI, vol. 16(2), pages 1-13, January.
    4. Chyi Lin Lee & Richard G. Reed, 2014. "The Relationship between Housing Market Intervention for First-Time Buyers and House Price Volatility," Housing Studies, Taylor & Francis Journals, vol. 29(8), pages 1073-1095, November.
    5. Dudley, Carlton L, Jr, 1972. "A Note on Reinvestment Assumptions in Choosing Between Net Present Value and Internal Rate of Return," Journal of Finance, American Finance Association, vol. 27(4), pages 907-915, September.
    6. Gong, Yifan & Yao, Yuxi, 2022. "Demographic changes and the housing market," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    7. Salvati, Luca & Ciommi, Maria Teresa & Serra, Pere & Chelli, Francesco M., 2019. "Exploring the spatial structure of housing prices under economic expansion and stagnation: The role of socio-demographic factors in metropolitan Rome, Italy," Land Use Policy, Elsevier, vol. 81(C), pages 143-152.
    8. Felsenstein, Daniel & Ashbel, Eyal, 2010. "Simultaneous modeling of developer behavior and land prices in UrbanSim," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 107-127.
    9. Hommes, C.H. & Bao, T., 2015. "When Speculators Meet Constructors: Positive and Negative Feedback in Experimental Housing Markets," CeNDEF Working Papers 15-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    10. Valaei Sharif, Shahab & Habibi Moshfegh, Peyman & Kashani, Hamed, 2023. "Simulation modeling of operation and coordination of agencies involved in post-disaster response and recovery," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    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. Daniela Smiraglia & Luca Salvati & Gianluca Egidi & Rosanna Salvia & Antonio Giménez-Morera & Rares Halbac-Cotoara-Zamfir, 2021. "Toward a New Urban Cycle? A Closer Look to Sprawl, Demographic Transitions and the Environment in Europe," Land, MDPI, vol. 10(2), pages 1-14, January.
    2. Sarah Mignot & Fabio Tramontana & Frank Westerhoff, 2021. "Speculative asset price dynamics and wealth taxes," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 641-667, December.
    3. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    4. Marcel Ausloos & Herbert Dawid & Ugo Merlone, 2015. "Spatial Interactions in Agent-Based Modeling," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 353-377, Springer.
    5. Samaneh Sadat Nickayin & Francesca Perrone & Barbara Ermini & Giovanni Quaranta & Rosanna Salvia & Filippo Gambella & Gianluca Egidi, 2021. "Soil Quality and Peri-Urban Expansion of Cities: A Mediterranean Experience (Athens, Greece)," Sustainability, MDPI, vol. 13(4), pages 1-12, February.
    6. Shen Zhao & Yong Xu, 2019. "Exploring the Spatial Variation Characteristics and Influencing Factors of PM 2.5 Pollution in China: Evidence from 289 Chinese Cities," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    7. Seham S. Al-Alola & Haya M. Alogayell & Ibtesam I. Alkadi & Soha A. Mohamed & Ismail Y. Ismail, 2021. "Recognition and Prediction of Land Dynamics and Its Associated Impacts in Al-Qurayyat City and along Al-Shamal Train Pathway in Saudi Arabia," Sustainability, MDPI, vol. 13(17), pages 1-25, September.
    8. Rosanna Salvia & Gianluca Egidi & Luca Salvati & Jesús Rodrigo-Comino & Giovanni Quaranta, 2020. "In-Between ‘Smart’ Urban Growth and ‘Sluggish’ Rural Development? Reframing Population Dynamics in Greece, 1940–2019," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    9. Chyi Lin Lee, 2017. "An examination of the risk-return relation in the Australian housing market," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 10(3), pages 431-449, June.
    10. Gianluca Menghini & Fabian Gemperle & Irmi Seidl & Kay W Axhausen, 2015. "Results of an Agent-Based Market Simulation for Transferable Development Rights (TDR) in Switzerland," Environment and Planning B, , vol. 42(1), pages 157-183, February.
    11. Jesus Rodrigo-Comino & Gianluca Egidi & Luca Salvati & Giovanni Quaranta & Rosanna Salvia & Antonio Gimenez-Morera, 2021. "High-to-Low (Regional) Fertility Transitions in a Peripheral European Country: The Contribution of Exploratory Time Series Analysis," Data, MDPI, vol. 6(2), pages 1-14, February.
    12. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret & Safirova, Elena, 2012. "Zoning on the urban fringe: Results from a new approach to modeling land and housing markets," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 198-210.
    13. Zhongming Lu & Frank Southworth & John Crittenden & Ellen Dunhum-Jones, 2015. "Market potential for smart growth neighbourhoods in the USA: A latent class analysis on heterogeneous preference and choice," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3001-3017, December.
    14. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    15. Savin, Ivan & Mundt, Philipp, 2022. "Drivers of productivity change in global value chains: Reallocation vs. innovation," Economics Letters, Elsevier, vol. 220(C).
    16. Michelle Baddeley & Geoff Harcourt, 2021. "A Behavioural Model of Investment Appraisal and its Implications for the Macroeconomy," Working Paper Series 2021/05, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    17. Suleiman Ahmad Abubakar & Othman Mahmod & Daud Hanita & Abdullah Mohd Lazim & Kadir Evizal Abdul & Kane Ibrahim Lawal & Husin Abdullah, 2023. "Forecasting the Volatility of Real Residential Property Prices in Malaysia: A Comparison of Garch Models," Real Estate Management and Valuation, Sciendo, vol. 31(3), pages 20-31, September.
    18. Davide Natalini & Giangiacomo Bravo & Aled Wynne Jones, 2019. "Global food security and food riots – an agent-based modelling approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(5), pages 1153-1173, October.
    19. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.
    20. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.

    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:gam:jjrfmx:v:16:y:2023:i:10:p:446-:d:1260733. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.