Forschung

Die Forschung am Lehrstuhl für Immobilienmanagement

Der Lehrstuhl Immobilienmanagement unter Leitung von Prof. Dr. Wolfgang Sch?fers am IRE|BS Institut für Immobilienwirtschaft will seine wissenschaftliche Forschungsarbeit als eine Plattform für theoriegeleitete und anwendungsorientierte Forschung verstanden wissen.
Nur so wird dem Spannungsfeld zwischen Theorie und  Praxis in der Immobilienwirtschaft ausreichend Rechnung getragen.

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Forschungsschwerpunkte

Die Forschungsschwerpunkte am Lehrstuhl für Immobilienmanagement sind:

• Real Estate Asset Pricing (REITs, REOCs, IPOs / SPOs, Kapitalstrukturtheorien)
• Big Data Analytics in der Immobilienwirtschaft
• Infrastruktur als Anlageklasse
• "Leadership" in Real Estate (Corporate Social Responsibility, Corporate Governance, Diversity, etc.)
• Text- und Sentiment-Analysen in der Immobilienwirtschaft

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Forschungspreise

Die wissenschaftlichen Arbeiten am Lehrstuhl von Prof. Dr. Wolfgang Sch?fers wurden von mehreren Organisationen pr?miert. 百利宫_百利宫娱乐平台￥官网 unterstreicht die Qualit?t und Güte der geleisteten Forschungsarbeit.

European Real Estate Society (ERES)

Best Paper Award (2022) – Explainable AI in a Real Estate Context – Exploring the Determinants of Residential Real Estate Values

Best Paper Award (2019) – REITs and REOCs and their initial stock market performance: a European perspective

Award for Best PhD Paper (2016) – Creating a Real Estate Sentiment Index through Textual Analysis of Internet Data

Best Paper Award (2015) – The Diverging Role of the Systematic Risk Factors: Evidence from the Real Estate Stock Market

Award for Best PhD Paper (2015) – IPO Unterpricing of European Property Companies

 

American Real Estate Society (ARES)

Manuscript Prize Winner (2023) - Does Retrofitting Pay Off? Eine Analyse der deutschen Mehrfamilienhausdaten

Best Paper Award (2022) - Commercial Real Estate Appraisals - An Interpretable Machine Learning Approach

Manuscript Price (2022) - Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach

Doctoral Program Manuscript Prize (2022) - Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach

Manuscript Price (2021) – Sentiment Analysis within a Deep Learning Probabilistic Framework: New Evidence from Residential Real Estate in the United States

Doctoral Program Manuscript Prize (2021) - Sentiment Analysis within a Deep Learning Probabilistic Framework: New Evidence from Residential Real Estate in the United States

Manuscript Price Winner (2018) – Discretionary-based Textual Analysis in German Real Estate Market

Best Paper Award (2017) - Real Estate Investment and Management Strategies in German Speaking Countries

Manuscript Price Winner (2015) – Sentiment-Based Commercial Real Estate Forecasting with Google Search Volume Data

 

Pacific Real Estate Society (PRES)

Best Refereed Conference Paper Award (2011) – Geco – Nowcasting Based on Online Consumer Sentiment Data: The Case of UK’s National and Regional Housing Markets

 

Emerald Literati Network

Highly Commended Paper Award (2014) – Sentiment-based Commercial Real Estate Forecasting with Google Search Volume Data

Highly Commended Paper Award (2012) – Systematic Risk Factors in European Real Estate Equities

 

Gesellschaft für Immobilienwirtschaftliche Forschung e.V. (gif)

Immobilien Forschungspreis (2018) – Evaluating Sentiment in Real Estate Markets by Means of Textual Analysis

Immobilien Forschungspreis (2015) – Outperforming the Benchmark: Online Information Demand and REIT Market Performance

Immobilien Forschungspreis (2012) – Geco – Google Econometrics and its Potential for Real Estate Research

Best Academic Paper (2011) – Systematic Risk Factors in European Real Estate Equities

 

Bundesverband Alternative Investments (BAI):

Wissenschaftspreis (2016) – Infrastructure investments- empirical evidence on an emerging asset class

Wissenschaftspreis (2013) – The Interactions between direct and securitized Infrastructure and its Relationship to Real Estate

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