Essec\Faculty\Model\Contribution {#2190
  #_index: "academ_contributions"
  #_id: "6714"
  #_source: array:26 [
    "id" => "6714"
    "slug" => "monte-carlo-simulations-versus-dcf-in-real-estate-portfolio-valuation"
    "yearMonth" => "2005-01"
    "year" => "2005"
    "title" => "Monte Carlo Simulations versus DCF in Real Estate Portfolio Valuation"
    "description" => "BARONI, M., BARTHELEMY, F. et MOKRANE, M. (2005). Monte Carlo Simulations versus DCF in Real Estate Portfolio Valuation."
    "authors" => array:3 [
      0 => array:3 [
        "name" => "BARONI Michel"
        "bid" => "B00000023"
        "slug" => "baroni-michel"
      ]
      1 => array:1 [
        "name" => "BARTHELEMY Fabrice"
      ]
      2 => array:1 [
        "name" => "MOKRANE M."
      ]
    ]
    "ouvrage" => ""
    "keywords" => []
    "updatedAt" => "2021-04-19 17:57:25"
    "publicationUrl" => null
    "publicationInfo" => array:3 [
      "pages" => null
      "volume" => null
      "number" => null
    ]
    "type" => array:2 [
      "fr" => "Communications dans une conférence"
      "en" => "Presentations at an Academic or Professional conference"
    ]
    "support_type" => array:2 [
      "fr" => null
      "en" => null
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "Ce document présente la façon d'utiliser des cash-flows simulés pour évaluer des actifs immobiliers réels. Nous montrons que l'on peut utiliser des méthodes de simulation de Monte-Carlo pour déterminer la valeur d'actifs immobiliers dont la génération de cash-flows est complexe. Les données principales de la simulation telles que l'estimation de la volatilité du prix des actifs réels, proviennent des résultats établis lors de l'élaboration d'un indice immobilier pour Paris, dans un article de Baroni, Barthélémy et Mokrane (2005). Etablis à partir d'un exemple de portefeuille immobilier, les cash-flows simulés permettent (i) d'élaborer des évaluations plus robustes que les évaluations traditionnelles résultant de méthodes de DCF, (ii) d'estimer la distribution du prix du portefeuille sur des horizons de détention variés (iii) et de calculer aisément des Values-at-Risk (VaR)."
      "en" => "This paper considers the use of simulated cash flows to value assets in real estate investment. We motivate the use of Monte Carlo simulation methods for the measurement of complex cash generating assets such as real estate assets return distribution. Important simulation inputs, such as the physical real estate price volatility estimator, are provided by results on real estate indices for Paris derived in an article by Baroni, Barthélémy and Mokrane (2005). Based on a residential real estate portfolio example, simulated cash flows (i) provide more robust valuations than traditional DCF valuations, (ii) permit the user to estimate the portfolio's price distribution for any time horizon, and (iii) permit easy Values-at-Risk (VaR) computations."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
      "en" => "Information Systems, Decision Sciences and Statistics"
    ]
    "indexedAt" => "2024-04-20T02:21:47.000Z"
    "docTitle" => "Monte Carlo Simulations versus DCF in Real Estate Portfolio Valuation"
    "docSurtitle" => "Presentations at an Academic or Professional conference"
    "authorNames" => "<a href="/cv/baroni-michel">BARONI Michel</a>, BARTHELEMY Fabrice, MOKRANE M."
    "docDescription" => "<span class="document-property-authors">BARONI Michel, BARTHELEMY Fabrice, MOKRANE M.</span><br><span class="document-property-authors_fields">Information Systems, Decision Sciences and Statistics</span> | <span class="document-property-year">2005</span>"
    "keywordList" => ""
    "docPreview" => "<b>Monte Carlo Simulations versus DCF in Real Estate Portfolio Valuation</b><br><span>2005-01 | Presentations at an Academic or Professional conference </span>"
    "docType" => "research"
    "publicationLink" => "<a href="#" target="_blank">Monte Carlo Simulations versus DCF in Real Estate Portfolio Valuation</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 8.727519
  +"parent": null
}