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Robust Desmoothed Real Estate Returns

Author

Listed:
  • Jean-Christophe Delfim

    (University of Geneva)

  • Martin Hoesli

    (University of Geneva - Geneva School of Economics and Management (GSEM); Swiss Finance Institute; University of Geneva - Research Center for Statistics; University of Aberdeen - Business School)

Abstract

This research starts from the observation that common desmoothing models are likely to generate some extreme returns. Such returns will distort risk measurement and hence can lead to investment decisions that are suboptimal relative to those that would be made if a transaction based index were available. Thus, we propose to improve the desmoothing models by incorporating a robust filter into the procedure. We report that in addition to properly treating for smoothing, the method prevents the occurrence of extreme values. As shown with U.S. data, our method leads to desmoothed series whose characteristics are akin to those of transaction-based indices.

Suggested Citation

  • Jean-Christophe Delfim & Martin Hoesli, 2019. "Robust Desmoothed Real Estate Returns," Swiss Finance Institute Research Paper Series 19-32, Swiss Finance Institute.
    • Handle: RePEc:chf:rpseri:rp1932
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    Cited by:

    1. is not listed on IDEAS
    2. Martin Hoesli & Richard Malle, 2022. "Commercial real estate prices and COVID-19," Post-Print hal-03611776, HAL.
    3. Bergeaud, Antonin & Eyméoud, Jean-Benoît & Garcia, Thomas & Henricot, Dorian, 2023. "Working from home and corporate real estate," Regional Science and Urban Economics, Elsevier, vol. 99(C).
    4. Antonin Bergeaud & Jean-Benoît Eymeoud & Thomas Garcia & Dorian Henricot, 2022. "Working From Home and Corporate Real Estate," Post-Print hal-03548889, HAL.
    5. Antonin Bergeaud & Jean Benoit Eymeoud & Thomas Garcia & Dorian Henricot, 2022. "Working from home and corporate real estate," CEP Discussion Papers dp1831, Centre for Economic Performance, LSE.

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    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets

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