© IPD 2011 1ipd.com Why do property values melt when funds go into liquidation? Sebastian Gläsner 18.06.2011.

Slides:



Advertisements
Similar presentations
Value Premium in International REITs ERES Conference 2014 Ytzen van der Werf and Fred Huibers 27 June 2014
Advertisements

On the pulse of the property world Transaction based indices for the UK commercial property market Steven Devaney (University of Aberdeen) Roberto Martinez.
CHAPTER 4: INVESTMENT COMPANIES.  Definition: financial intermediaries that collect funds from individual investors and invest those funds in a potentially.
Copyright ©2004 Pearson Education, Inc. All rights reserved. Chapter 16 Investing in Bonds.
Michael Haddock Stockholm 25 th June 2009 Are prime rents an adequate proxy for ‘the market’?
Copyright © 2003 South-Western/Thomson Learning All rights reserved. Chapter 6 Investment Companies.
On the pulse of the property world Italian lease events: changes in tenants’ behaviour in the first year of the crisis Lease expiries, breaks and void.
Assetz Fund Management Commercial Property No 1 LP.
What kind of demands does a new real estate market growth make on real estate quality in Estonia? Ene Kolbre Angelika Kallakmaa-Kapsta Tallinn University.
Theory of Valuation The value of an asset is the present value of its expected cash flows You expect an asset to provide a stream of cash flows while you.
Session 1 : Ireland’s Society in Economic Downturn Kieran Walsh Central Statistics Office.
McGraw-Hill/Irwin Copyright © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. Mutual Funds and Other Investment Companies CHAPTER 4.
“Real Estate Principles for the New Economy”: Norman G. Miller and David M. Geltner Chapter 11 Introduction to Investment Concepts.
The Household Aggregate Financial Wealth Evidence from Selected OECD Countries Riccardo De Bonis*, Daniele Fano** and Teresa Sbano** * Bank of Italy. **
Transactions Based Commercial Real Estate Indices: A Comparative Performance Analysis 1 QIULIN KE, 2 KAREN SIERACKI, AND 3 MICHAEL WHITE 1 UNIVERSITY COLLEGE.
Sebastian Gläsner IPD Investment Property Databank GmbH, Wiesbaden The Influence Of Ownership, Sector Allocation And Investment Style On Portfolio Volatility.
Copyright ©2004 Pearson Education, Inc. All rights reserved. Chapter 18 Asset Allocation.
2 8/21/ Chapter 2 Income Concepts. 2 8/21/ Chapter Objectives Upon completion of this chapter, the participant will be able to: –Contrast.
Fundamentals of Real Estate Lecture 14 Spring, 2003 Copyright © Joseph A. Petry
© 2016 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Future Direction of the Property Market in Hong Kong & Macau Nicholas Brooke, FRICS FHKIS Chairman, Professional Property Services 5 June 2007.
First Industrial Realty Trust, Inc. Mary Voss December 2, 2004.
1 RESEARCH PAPER: DUTCH RESIDENTIAL INVESTMENTS IN EUROPEAN PERSPECTIVE.
Portfolio Management Lecture: 26 Course Code: MBF702.
Classification of PP&E
Chapter 13: Risk Analysis McGraw-Hill/Irwin Copyright © 2011 by the McGraw-Hill Companies, Inc. All rights reserved.
Inês Pinto ERES 2010 – Doctoral Colloqium SDA Bocconi – School of Management, Milan, Italy 23rd-26th June 2010 Supervisor: Professor João Duque Managerial.
AN ANALYSIS OF THE EVOLUTIONS OF REAL ESTATE MARKET AND PURCHASING POWER WITHIN THE EUROPEAN UNION Authors: Assoc. Prof. Dr. Ciprian SIPOS Prof. Dr. Alexandru.
12-1 Issue 15 – The Foreign Exchange Market Extracted from Krugman and Obstfeld – International Economics ECON3315 International Economic Issues Instructor:
Portfolio Management-Learning Objective
Lecture Presentation Software to accompany Investment Analysis and Portfolio Management Seventh Edition by Frank K. Reilly & Keith C. Brown Chapter 7.
PRIVATE & CONFIDENTIAL European Market Outlook April 2012.
Some Background Assumptions Markowitz Portfolio Theory
Chapter McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved. Valuation and Rates of Return 10.
Financial Markets and Institutions
European Real Estate Society Annual Conference Vienna 2013 The City of London Office Bias by Stephen Lee Cass Business School, City University London.
R The great productivity puzzle Lessons on a Plate are designed to help teachers cover topics related to the work of the Bank of England on the new A-level.
Chapter 3 Arbitrage and Financial Decision Making
The Land Leverage Hypothesis Land leverage reflects the proportion of the total property value embodied in the value of the land (as distinct from improvements),
NH Legislature: NH Real Estate Update January 2010 Russ Thibeault Applied Economic Research Research Support Provided By:
SALES COMPARISON APPROACH  THE PROCESS IN WHICH THE MARKET ESTIMATE IS DERIVED BY ANALYZING THE MARKET FOR SIMILAR PROPERTIES.  A MAJOR PREMISE OF THE.
Exchange Rates. An exchange rate is the price of one currency in terms of another. –It indicates how many units of one currency can be bought with a single.
To Hold or Not to Hold? An Analysis of Holding Periods in Five European Property Markets Jan Reinert July 2013 Portfolio Analyst, IPD.
Practical Personal Investing 2, Session 1, Fall Growth at Reasonable Price (GARP) Definition of 'Growth At A Reasonable Price - GARP‘: An equity.
Investment Analysis and Portfolio Management First Canadian Edition By Reilly, Brown, Hedges, Chang 6.
|Date Market failure Market failure in the Amsterdam office investment market Henk J. Brouwer 1.
Prudential Balanced Fund (PRUBF1) November 2011 Fixed information Licensed Date: 5 October 2006 Listing date: 4 December 2006 Base Currency: VND Tenure:
Real Estate & Planning: Steven Devaney (University of Reading), Qin Xiao (Hull University Business School) and.
Appraisal within open-end real estate funds: Evidence on biased appraisals in fund crisis year 2006 Sebastian Glaesner - Contact Author - Doctoral Candidate.
Chapter 18 - The Analysis and Valuation of Bonds.
Bond Valuation and Risk
1 CHAPTER 6 Risk, Return, and the Capital Asset Pricing Model.
Real Estate vs Stock Market: approaching the required rate of return through the Treynor and Black model Joan Montllor-Serrats (Universitat Autònoma de.
Exchange Rates. An exchange rate is the price of one currency in terms of another. –It indicates how many units of one currency can be bought with a single.
Specialty Asset Concentrations Understanding the Whole Picture 1.
The Investment Decision Process Determine the required rate of return Evaluate the investment to determine if its market price is consistent with your.
THE FINANCING OF THE CENTRAL GOVERNMENT IN Financing in H Financing in H Host: Ferenc Szarvas, CEO Presented by: dr. László András.
Chapter 18 Asset Allocation. Copyright ©2014 Pearson Education, Inc. All rights reserved.18-2 Chapter Objectives Explain how diversification among assets.
Nifty BeES. Only Mutual Fund in India with exclusive focus on quantitative and passive investment management Monitored by Securities and Exchange Board.
ERES 2009 Conference Stockholm, June 24th Andreas Gohs: An evaluation of the quality of unsmoothing procedures to estimate true market returns from appraisal-based.
European Survey FENCA Number of respondents Austria 0 Belgium 0 Czech Republic 4 France 11 Germany 103 Greece 0 Italy 30 Netherlands 0 Norway.
NCREIF Database for Appraisers Jeffrey D. Fisher, Ph.D. NCREIF Consulting Director of Research Professor, Indiana University.
Neil Crosby, Colin Lizieri and Pat McAllister
The Fundamentals of Investing
SECURITY MARKET INDICATORS
TOPIC 3.1 CAPITAL MARKET THEORY
Private Equity Indices Based on Secondary Market Transactions
Qualities of Real Estate as an investment Week 2
The Fundamentals of Investing
Annual Private Capital Conference 2019
Presentation transcript:

© IPD ipd.com Why do property values melt when funds go into liquidation? Sebastian Gläsner

© IPD ipd.com Agenda Performance of funds in liquidation Data and research design Testing hypothesis on drivers of capital growth of standing investment properties of GOEFs –H1: German valuation practice results in smoothed capital growth –H2: High NAV-discount is associated with negative capital growth –H3: Property acquisition date in boom phase results in negative capital growth thereafter –H4: Properties of funds in liquidation show negative capital growth

© IPD ipd.com Redemption stops of German open ended funds As to March 2011, 22 GOEFs open for retail investors comprise 75.4 bn. EUR NAV Nine out of those funds with NAV of 21.7 bn. EUR have stopped the redemption of shares Two funds with 1.8 bn. EUR NAV are in liquidation Funds in liquidation recently have shown very negative performance, which is unprecedented in the 50-year- history of German open ended funds Public data

© IPD ipd.com Performance of funds in liquidation NAV-base performance While the performance of the group of funds with redemption stops is only slightly worse than the performance open funds, funds in liquidation loose about a third of their value in comparison to the third quarter 2008 Source: NAV-publications of the funds Public data

© IPD ipd.com Besides poor NAV-based performance, funds in liquidation also show a high discount on NAV Within the first year of redemption stops, discounts were lower than 10% Starting 2010, discounts increased up to 50% Investors forced to or willing to sell off their shares of funds in liquidation lost more than 50% of their investment over the last two years Source: Stock exchange Hamburg Performance of funds in liquidation Discounts on the NAV at the secondary market Public data

© IPD ipd.com Agenda Performance of funds in liquidation Data and research design Testing hypothesis on drivers of capital growth of standing investment properties of GOEFs –H1: German valuation practice results in smoothed capital growth –H2: High NAV-discount is associated with negative capital growth –H3: Property acquisition date in boom phase results in negative capital growth thereafter –H4: Properties of funds in liquidation show negative capital growth

© IPD ipd.com Germany, France, UK and the Netherlands are the biggest investment markets of German funds Real estate performance of GOEFs is analysed using French and Dutch office investments because: Office properties are the predominant assets in GOEF portfolios and analysis is limited for comparability reasons German properties are not being analysed, as the IPD dataset used for comparison is too much influenced by GOEFs UK properties are not being analysed due to very few investments held by the two funds in liquidation Dutch properties may interest audience in Eindhoven Source: BVI Focus on French and Dutch offices Asset allocation of GOEFs as to 12/2010 Public data

© IPD ipd.com German funds publish capital values (and other information) of each single asset on a yearly basis since 2006 The reports are in the public domain, and no confidentiality issues arise, which is in sharp contrast to IPD client data When using IPD client data as a benchmark, confidentiality is maintained on fund level and on property level The capital values of standing investments of French and Dutch offices have been collected from publicly available sources to calculate the annual capital growth rate (cg) Four frequently stated hypotheses on German funds are being investigated Data: Fund reports

© IPD ipd.com Agenda Performance of funds in liquidation Data and research design Testing hypothesis on drivers of capital growth of standing investment properties of GOEFs –H1: German valuation practice results in smoothed capital growth –H2: High NAV-discount is associated with negative capital growth –H3: Property acquisition date in boom phase results in negative capital growth thereafter –H4: Properties of funds in liquidation show negative capital growth

© IPD ipd.com Distribution of capital growth France GOEFs Source: Annual fund reports Turning point 2010, peaks at 0% cg, fat tails at -5% and +5% in 2006 Mean returns range between -1.4% and 6.5%, compared to -5.3% and 9.9% of local investors Public data

© IPD ipd.com Distribution of capital growth The Netherlands GOEFs Source: Annual fund reports Turning point 2009, peaks at 0% cg, fat tails at -5% and +5% in 2006 Mean returns range between -1.9% and 1.5%, compared to -5.2% and 4.8% of local investors Public data

© IPD ipd.com Valuation inertia Analysis of value changes of +-1% of GOEFs, FR+NL Classes: <-5%<-1%<1%<5%<20% Areas of histogram misleading regarding density In the years 2007 and 2008 about one fifth of all properties showed a capital growth between -1% and +1% In the years 2009 and 2010 more than one third of all properties showed a capital growth between -1% and +1% Funds in liquidation (red figures): Five out of eight properties (63%) maintain (+-1%) their values in 2009 Only one out of nine (11%) maintains its value in 2010 Sum up: Similar valuation inertia of funds in liquidation in 2008 and 2009, differences in 2010 Source: Annual fund reports 22% 20% 33% 37% 2/2 red = # properties of funds in liquidation 2/ / /9 2 Public data

© IPD ipd.com Source: Annual fund reports 20% 13% 26% 41% Classes: <-5%<-1%<1%<5%<20% Areas of histogram misleading regarding density 2007: Strong appreciation, 20% stable 2008: Tendency towards appreciation, 32% stable 2009: Indifference, 44% stable 2010: Strong tendency towards (minor) depreciation, 30% stable Valuation inertia Analysis of value changes of +-1% of GOEFs in France Public data

© IPD ipd.com 16% 5% 13% 11% Classes: <-40%<-20%<-5%<- 1%<1%<5%<20%<40% Areas of histogram misleading regarding density Lower proportion of stable capital values in times of positive value changes in 2007 Highest proportion of stable capital values in years of market turning 2008 and 2010 Maximum of 16% stable capital values in 2010 much lower than 41% stable capital value of German funds in 2010 Source: IPD Valuation inertia Analysis of value changes of +-1% of local investors in France IPD data

© IPD ipd.com Classes: <-5%<-1%<1%<5%<20% Areas of histogram misleading regarding density 2007: Indifference between appreciation and depreciation, 25% stable 2008: Tendency towards appreciation, 32% stable 2009: Indifference, 44% stable 2010: Strong tendency towards (minor) depreciation, 30% stable Source: Annual fund reports 25% 32% 44% 30% Valuation inertia Analysis of value changes of +-1% of GOEFs in The Netherlands Public data

© IPD ipd.com 17% 13% 6% 7% Classes: <-40%<-20%<-5%<- 1%<1%<5%<20%<40% Areas of histogram misleading regarding density Lower proportion of stable capital values in times of negative value changes 2008 and 2009, highest in 2010 Maximum of 17% stable capital values in 2010 much lower than 44% stable capital value of German funds in 2009 Source: IPD Valuation inertia Analysis of value changes of +-1% of local investors in The Netherlands IPD data

© IPD ipd.com With the exception of France in 2008 where results match, properties of GOEF show a much higher proportion of stable capital values than properties of local investors The average rate of unchanged capital values of GOEF properties reach 25% in France compared to 11% of local investors, and 33% in The Netherlands compared to 11% of local investors As the proportion of stable capital values of GOEFs is double to three times the figure of local investors, H1 seems plausible Source: IPD H1: German valuation practice results in smoothed capital growth Sum up

© IPD ipd.com Agenda Performance of funds in liquidation Data and research design Testing hypothesis on drivers of capital growth of standing investment properties of GOEFs –H1: German valuation practice results in smoothed capital growth –H2: High NAV-discount is associated with negative capital growth –H3: Property acquisition date in boom phase results in negative capital growth thereafter –H4: Properties of funds in liquidation show negative capital growth

© IPD ipd.com Three groups are formed: Funds with avg. discounts lower than 20% over the last 12 months Funds with discounts above 20% Funds in liquidation Source: Hamburg stock exchang Explaining capital growth by NAV-discount Discounts on the NAV at the secondary market Public data

© IPD ipd.com Capital growth France Local investors vs. GOEFs Indices calculated using capital weighted individual property growth rates French offices held by local investors strongly appreciate in 2006 and 2007, and strongly depreciate in 2008 and 2009, recovery in 2010 French offices held by German funds appreciate from 2006 until 2009, and depreciate in 2010 Offices held by funds in liquidation depreciate in 2009 and strongly depreciate in 2010 Source: IPD 2011, annual fund reports Public data IPD data

© IPD ipd.com Capital growth Netherlands Local investors vs. GOEFs Dutch offices held by local investors strongly appreciate in 2006 and 2007, and strongly depreciate in 2008 and 2009, still depreciate in 2010 Dutch offices held by German funds appreciate from 2006 until 2008, and depreciate in 2010 Offices held by funds in liquidation depreciate in 2009 and strongly depreciate in 2010 Source: IPD 2011, annual fund reports Public data IPD data

© IPD ipd.com Influence on NAV-Discount on valuation? Open funds vs. redemption stop w/o funds in liquidation When excluding funds in liquidation from the high- discount group, differences diminish France: Open funds’ properties depreciate slightly less in 2009 and 2010 than both groups of redemption stop Netherlands: High discounts on NAV are associated with about one percentage point more depreciation from 2007 to 2010 Source: Annual fund reports Public data

© IPD ipd.com Only minor effects of NAV-discount on capital growth H2 cannot be affirmed Source: IPD H2: High NAV-discount is associated with negative capital growth Sum up

© IPD ipd.com Agenda Performance of funds in liquidation Data and research design Testing hypothesis on drivers of capital growth of standing investment properties of GOEFs –H1: German valuation practice results in smoothed capital growth –H2: High NAV-discount is associated with negative capital growth –H3: Property acquisition in a boom phase results in negative capital growth thereafter –H4: Properties of funds in liquidation show negative capital growth

© IPD ipd.com Accounting for portfolio differences Explaining capital growth by hard property characteristics Only factors taken into account that are not influenced by appraisal assumptions In France, long leases are associated with positive capital growth, and later acquired properties tend to depreciate in 2009 and 2010 In the Netherlands, only lease duration in 2009 has a significant positive impact, but much lower sample size No impact of economic building year France capital growth ~ econ. building year+-+- vacancy rate+- - ** - ending leases within next 12 months -*-* -´ avg. lease duration + +´ date of purchase-- -*-* -*-* DF=38DF=43DF=35DF=73 Netherlands capital growth ~ econ. building year-+-- vacancy rate--+- ending leases within next 12 months-- avg. lease duration + ** - date of purchase+++- Signif. codes: *** = ** = 0.01 * = 0.05 ‘ = 0.1 DF=19DF=15DF=35DF=55 Public data

© IPD ipd.com Accounting for portfolio differences Explaining French capital growth by acquisition date Negative impact of newly purchased properties in 2009 and 2010 French properties of funds in liquidation have been acquired recently and fall into the pattern Public data

© IPD ipd.com Accounting for portfolio differences Explaining Dutch capital growth by acquisition date No significant negative impact of newly purchased properties Dutch properties of funds in liquidation show negative capital growth in 2010, regardless of the acquisition date Public data

© IPD ipd.com Some evidence found for French properties, but no dominant pattern Fund belonging has to be added as control variable, because funds in liquidation tend to have acquired their properties at a late point of time Source: IPD H3: Property acquisition date in boom phase results in negative capital growth Sum up

© IPD ipd.com Agenda Performance of funds in liquidation Data and research design Testing hypothesis on drivers of capital growth of standing investment properties of GOEFs –H1: German valuation practice results in smoothed capital growth –H2: High NAV-discount is associated with negative capital growth –H3: Property acquisition date in boom phase results in negative capital growth thereafter –H4: Properties of funds in liquidation show negative capital growth

© IPD ipd.com Explaining capital growth Model including funds as dummy variables No significant influence of construction year and vacancy rate on capital growth Purchase date only significant when looking at the entire period (weak effect) Rent multiplier and rental value per sqm positively correlated to cg Market value per sqm negatively correlated to cg Funds in liquidation showed lower cg over the entire period, but DEGI EUROPA had higher cg rates in 2007 Out of 20 funds not in liquidation, only one fund showed significantly lower cg rates in 2010 Inclusion of fund dummies into the regression model strongly increase the explanatory power in 2007 and 2010 all properties capital growth ~ economic construction year vacancy rate date of purchase ** multiplier + + ** + *** + market value per sqm - - ** - *** - rental value per sqm + + ** + *** + country: Netherlands - *** -´-´ - -´-´ fund*: DEGI EUROPA (in liquidation) + *** - *** -*-* fund: Morgan Stanley P2 Value (in liquidation) - *** Adj. R2 30.9%30.1%18.0%40.6%14.0% Adj. R2 w/o fund dummies 19.0%29.4%14.8%0.0%9.5% DF p-value Signif. codes: *** = ** = 0.01 * = 0.05 ‘ = 0.1 * One fund with significantly lower cg rates in 2010 not explicitly reported, neither three funds with weakly significant positive cg rates in the years 2007 to 2010 Public data

© IPD ipd.com Both funds in liquidation show significantly lower capital growth rates in 2010 H4 cannot be rejected Source: IPD H4: Properties of funds in liquidation show negative capital growth Sum up

© IPD ipd.com Summary I H1: German valuation practice results in smoothed capital growth Evidence: Percentage of stable property values of GOEFs between 2007 and 2010 about factor 2 to 3 higher Interpretation: Given the strong economic crisis and recovery of the period, valuations of GOEFs seem to smooth capital growth H2: High NAV-discount is associated with negative capital growth Evidence: No evidence found H3: Property acquisition date in boom phase results in negative capital growth thereafter Evidence: Evidence found only for French properties in 2009 and 2010, but when controlling for fund belonging, no single years but the period reaches significance Interpretation: Effect weaker than often assumed, but valuations of funds not in liquidation may show the assumed depreciations in the years to come

© IPD ipd.com Summary II H4: Properties of funds in liquidation show negative capital growth Evidence: Both funds in liquidation show significantly lower capital growth rates of their properties in 2010, and the regression model for 2010 reaches 40% R² when including fund dummies, and 0% R² when not Interpretation: The fact that despite limited sample sizes of the French and the Dutch properties of the individual funds the fund belonging variable of the funds in liquidation is highly significant shows that liquidation is the central driver of capital growth of GOEFs in 2010 Research outlook The analysis of the valuations as presented in combination with the transaction results of the portfolios being sold at the moment will show to which extend valuations match transaction prizes. At this point of time, for the two funds in liquidation only one sales prize of Dutch and French standing investments was available

© IPD ipd.com Thank you for your attention! Sebastian Gläsner

© IPD ipd.com Back up Reporting period GOEFs publish single asset capital values once a year. Reporting month vary among funds. The average reporting month of all analysed Dutch and French office investments is July The IPD annual services collect capital values also once a year. The IPD reporting year ends in December, and clients can update their date until December As IPD publishes no information on the average valuation month of their assets, the IPD indices lead the derived GOEFs indices by arguably half a year