Essec\Faculty\Model\Contribution {#2233
#_index: "academ_contributions"
#_id: "2829"
#_source: array:26 [
"id" => "2829"
"slug" => "using-rents-and-price-dynamics-in-real-estate-portfolio-valuation"
"yearMonth" => "2007-01"
"year" => "2007"
"title" => "Using Rents and Price Dynamics in Real Estate Portfolio Valuation"
"description" => "BARONI, M., BARTHELEMY, F. et MOKRANE, M. (2007). Using Rents and Price Dynamics in Real Estate Portfolio Valuation. <i>Property Management</i>, pp. 462-486."
"authors" => array:3 [
0 => array:3 [
"name" => "BARONI Michel"
"bid" => "B00000023"
"slug" => "baroni-michel"
]
1 => array:2 [
"name" => "BARTHELEMY Fabrice"
"bid" => "B00006901"
]
2 => array:1 [
"name" => "MOKRANE M."
]
]
"ouvrage" => ""
"keywords" => array:4 [
0 => "Evaluation immobilière"
1 => "Indices immobiliers"
2 => "Simulation de Monte-Carlo"
3 => "Valeur terminale"
]
"updatedAt" => "2020-12-17 17:55:06"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "462-486"
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Cet article 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 article considers the use of simulated cash flows to value assets and options in assets in real estate investment. We employ 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, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T18:21:44.000Z"
"docTitle" => "Using Rents and Price Dynamics in Real Estate Portfolio Valuation"
"docSurtitle" => "Articles"
"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">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2007</span>"
"keywordList" => "<a href="#">Evaluation immobilière</a>, <a href="#">Indices immobiliers</a>, <a href="#">Simulation de Monte-Carlo</a>, <a href="#">Valeur terminale</a>"
"docPreview" => "<b>Using Rents and Price Dynamics in Real Estate Portfolio Valuation</b><br><span>2007-01 | Articles </span>"
"docType" => "research"
"publicationLink" => "<a href="#" target="_blank">Using Rents and Price Dynamics in Real Estate Portfolio Valuation</a>"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.630022
+"parent": null
}