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Robust desmoothed real estate returns

Author

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  • Jean‐Christophe Delfim
  • Martin Hoesli
Abstract
This research starts from the observation that common desmoothing models are likely to generate some extreme returns that 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, 2021. "Robust desmoothed real estate returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(1), pages 75-105, March.
    • Handle: RePEc:bla:reesec:v:49:y:2021:i:1:p:75-105
    DOI: 10.1111/1540-6229.12313
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    Cited by:

    1. Martin Hoesli & Richard Malle, 2022. "Commercial real estate prices and COVID-19," Post-Print hal-03611776, HAL.
    2. 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).
    3. Antonin Bergeaud & Jean-Benoît Eymeoud & Thomas Garcia & Dorian Henricot, 2022. "Working From Home and Corporate Real Estate," Post-Print hal-03548889, HAL.
    4. 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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    More about this item

    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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