Title: WINNING IN THE LONG RUN ?
 1WINNING IN THE LONG RUN ?
- A Quantified Approach to the Uncertainty of 
 - Sustainable Financial Value on Real Estate 
(Working Paper 2)  - GRANTSRoyal Institution of Chartered Surveyors 
Education TrustAustrian Chamber of Commerce, 
Federation of Real Estate Professionals  - AUTHORSVis. Prof. Dr. Juerg R. Bernet, MSC MBA 
MRICSProf. Sarah Sayce, BSc PhD FRICS 
IRRVMaarten Vermeulen, MBA MSRE FRICSDI Rupert 
C. LedlBilly Clements, BSc  - KEYWORDSCommercial Real Estate Sustainability 
Metrics Risk Worth Methodology  -  Milan, 25-06-2010
 
  2AGENDA
- RATIONALE background  issues  aims 
 - CHALLENGE of a low growth economy 
 - BENEFITS of a sustainable performance plan 
 - CONCEPT of the driving systainability indicators 
 - FRAMEWORK of systainability metrics 
 - DATA SET for sustainability reporting 
 - MODEL for measuring the Impact of sustainability 
 - UNIVERSE of a first study in Europe 
 - WAY FORWARD searching market evidence
 
  3Project Rationale BACKGROUND
- THEORY 
 -  Environmental and social footprint  ongoing 
risk to property portfoliosLink through to value 
line via various conduits 
  4Project Rationale BACKGROUND
- REALITY 
 -  Paucity of evidence to support value 
differential (Sayce et al, 2010)Limited 
evidence emerging in US  CERTIFICATION LEVEL  -  No such evidence for European markets and 
portfolios  - KEY QUESTIONS 
 -  What sustainability factors impact on property 
returns?What risks do they present?Are these 
risks priced appropriately? 
  5Project Rationale KEY ISSUES
- DEFINING SUSTAINABILITY 
 -  No globally accepted definition or criteria 
setExisting empirical studies tie to 
CERTIFICATION as a surrogate (e.g. LEED)  -  BUT 
 -  Not necessarily an indication of full or 
ongoing sustainabilityAccreditation uptake in 
Europe is limitedGrading and specific CRITERIA 
not extrapolated (w/exception of Energy Star)  -  Identify aspects of commonality amongst 
existing rating systems/tools 
  6Project Rationale KEY ISSUES
- MEASURING SUSTAINABILITY 
 -  Data measurement and collection core to building 
sustainability CRITERIA into financial modelling 
and worth forecasts  -  BUT 
 -  Measurement practices globally remain 
limitedKey metrics (e.g. Energy) only collected 
by 19 of investors (Kok et al. 2010)  -  Identify those metrics which are most commonly 
collected and held by portfolio managers 
  7Project Rationale AIMS
- OVERARCHING AIM 
 -  Develop a deeper understanding of how individual 
sustainability risks are translating into market 
responses to inform investment decision making  - OBJECTIVES 
 -  1 To decompose existing rating systems to 
establish in particular which characteristics are 
most widely included  -  2 To establish which sustainability 
characteristics are most likely to have an impact 
on risk/return performance moving forward  -  3 To set up a mathematical model capable of 
analysing risk and returns on assets against a 
selected range of sustainability and conventional 
performance characteristics  -  4 To trial the model on actual assets to test 
whether data can in practice be collated 
  8The Challenge of a Low Growth Economy
RATE OF RETURN 
 9The Benefits of a Sustainable Performance Plan 
 10The Concept of Driving Sustainability Indicators
PROPERTY 
 11Towards a Framework of SustainabilityMetrics
- REGULATORSEC (EPBD GBP), ISO, CEN (EN15643-4) 
 
- COUNCILSUNEP-FI/SBCI (FSMR), GRI (CRESS), WGBC, 
SBA (CMF)  
SIRE
ASSESSORSBRE (BREEAM), GBCI (LEED), DGNB (DGNB), 
BMVBS (BNB), AHQE (HQE) 
CONSULTANTSJLL (OSCAR), IPD (ISPI), CBRE  
 12The Data Set for Sustainability Reporting
Source GBA (Ellison  Brown 2010) 
 13A Model for Measuring the Impact of 
Sustainability 
 14The Universe of a First Studyin Europe
RESEARCH PORTFOLIO 
 15The Way Forward Searching for Market Evidence
5) SPECIFY APPROACHdescribe methodology for 
analysis of other markets 4) TEST 
LIMITATIONSverify gereralisation and 
restrictions and for further research 3) FIND 
EVIDENCEevaluate observations of sustainablility 
worth 2) DESIGN MODELevaluate the available 
data with alternative model settings 1) COLLECT 
DATAstructure the data base and set up the data 
template 
 16Acknowledgements
- ACKNOWLEDMENTS . 
 -  Royal Institution of Chartered Surveyors RICS 
Education Trust  -  Austrian Chamber of Commerce, Federation of 
Real Estate Professionals  -  Milan, 21-06-2010