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RETURN OF REIT AND RETURN OF REIT AND EXPECTED INCOME EXPECTED INCOME GROWTH OF REAL ESTATE GROWTH OF REAL ESTATE ASSETASSET
Sherry Y.S. XuDepartment of Real Estate and ConstructionFaculty of ArchitectureThe University of Hong Kong
RESEARCH QUESTIONSRESEARCH QUESTIONS
Is there relationship between REITs and real estate market?
Which elements of the two markets can be linked?
How would these elements relate to each other?
PROPOSITIONSPROPOSITIONSAs the underlying portfolio of
REIT, the real estate asset would has certain relations to its return.
Though actual rent growth cannot reflect the return of REIT, it would have dependence on the expected rent growth of underlying real estate assets.
RESEARCH OBJECTIVESRESEARCH OBJECTIVES
Dependent variable: total return of REITs
Independent variables: 1) stock market factor ---- stock market price
index 2) economic factor ---- real interest rate 3) real estate market factor ---- expected income
(rent) growth of real estate asset
what is expected income what is expected income growth?growth?
The expected income growth can be defined as the rate at which the cash-flow of certain asset will grow over a period of time
For real estate asset, the expected income growth can be regarded as the rent
growth of the property in the investors’ expectation.
where does expected income where does expected income growth come from?growth come from?
DCF Model first formally expressed in Fisher (1930) and Williams
(1938)’s work
• Gordon Growth Model a variant of DCF model was derived by Gordon (1959)
Here, P, D, g, k represent the asset’s value, income, expected income growth and required return rate respectively.
what is expected income what is expected income growth usually used for?growth usually used for?
Evaluation of the asset’s pricePrediction of the asset’s return *in most of the previous research, the assets are
almost stocks, REITs and real estate assets.
Several very important relationships:
expected income growth
expected return
Income yield
price
Previous literatures on the application of Previous literatures on the application of expected income growthexpected income growth
Article Assets examined
Applications Data Testing Methods Time period
Chen et al. (2004) Real estate to evaluate the real estate asset as one of several factors in the model
NOI index by NCREIF OLS Model 1982 – 2003
Hung and Glascock (2008)
REITs to find out the momentum return of REITs when dividend yield is shock
REITs’ returns from the CRSP database
VAR Model 1997 – 2000
Johnson (2002) Equities to test the momentum effects in stock returns under condition that the expected dividend growth varying over time
Equity (especially real estate stocks) returns from the CRSP database
VAR Model 1993 – 2000
Plazzi et al. (2008) Commercial real estate
to measure the risk of commercial real estate investment
Returns and growth in rents of commercial real estate on metropolitan areas
VAR Model 1986 – 2002
Shilling and Sing (2007)
Real estate to predict the return of real estate asset
Return from NEREIF data base and ex-ante return from Korparz Survey
VAR Model 1988 – 2006
Sing et al. (2007) Property and property stock
to predict the returns of both property and property stock
Real estate return (URA of Singapore) and property stock return (SGX-PTYS)
VAR Model 1988 – 2006
Some of the recent research adopting expected income growth
What are the common What are the common methods to get the expected methods to get the expected income growthincome growththe conventional estimating method :VAR model (Vector Auto Regressive)
(first applied in Campbell and Shiller (1988a,b)’s research)
based on different datasets
1) historical income growths
2) historical income yields
Previous literatures making estimation of Previous literatures making estimation of expected income (dividend) growthexpected income (dividend) growth
Article Assets examined
Estimating method(s) Data Time period
Ang and Bekaert (2007) Equities auto-regressive model S&P 500 stock price return and total return
1935 – 2001
Ang and Liu (2007) Equities auto-regressive model S&P 500 return data 1935 – 2001
Bansal and Yaron (2004) Equities auto-regressive model Equity prices and realized consumption growth data
1929 – 1999
Chiang (2008) REITs auto-regressive model Center for Research in Security Prices (CRSP) / Ziman Real Estate Database for REITs’ returns
1980 – 2006
Fama (1990) Equities auto-regressive model Annual NYSE value-weighted returns
1953 – 1987
Fama and French (2001) Equities auto-regressive model CRSP and Compustat 1926 – 1999
Lettau and Ludvigson (2005) Equities auto-regressive model Stock dividend and return from CRSP
1947 – 2001
Menzly et al. (2004) Equities auto-regressive model CRSP value-weighted stock market index
1948 – 2001
Schwert (1990) Equities auto-regressive model NYSE value-weighted returns
1889 – 1988
Some of the recent research estimating expected income growth
Why to construct a new Why to construct a new modelmodel
1) VAR model can be a good forecasting model, but in a sense it is an atheoretical model.
2)The problem of the predictability of the expected income growth.
Deviation of the new Deviation of the new modelmodelBased on Gordon Growth Model, we further assume that the required rate of return (i) would change with constant growth (G) as well, then we get the variant of GGM:
tt
t
Gi
gD
Gi
gD
Gi
gD
i
DP
))1(1(
)1(
))1(1(
)1(
))1(1(
)1(
)1( 1
1
32
2
2
Here, P = price of asset, D = income of asset, g=expected income growth, i=required rate of return, G = the growth of required rate of return
(1)
How to find out growth of How to find out growth of required rate of returnrequired rate of return
Required rate of return (i) = cost of capital = risk-free return rate=yield of government bond
growth of i growth of bond yieldis equal to
spread of bond yield (S) = longest-period bond yield (iL) – shortest-period bond yield (i0)
iiS 30
i
iiG
2
1129 i
SG (2)
the expected income growth the expected income growth modelmodel
302929
29
3229
2
229 )))11(1(1(
)1(
)))11(1(1(
)1(
)))11(1(1(
)1(
)1(
1
i
Si
g
i
Si
g
i
Si
g
iD
P
Combining equation (1) and (2), we can get the model for capturing the expected income growth of certain asset as followed:
Solving the function above with Newton-Raphson Method, the expected income growth of asset (g) can be calculated
Study in Hong Kong marketStudy in Hong Kong market
Source: Rating and Valuation Department, Hong Kong SAR & Hong Kong Monetary Authority
Study in Hong Kong market Study in Hong Kong market (continued)(continued)
Source: Rating and Valuation Department, Hong Kong SAR & Hong Kong Monetary Authority
EMPIRICAL TESTEMPIRICAL TEST
Empirical model:
ittttit ERGINFINTHSIR )(
Here, Rit and ERGit refer to the total return and weighted expected income growth of certain portfolio of the ith REIT at time t respectively; HSIt, INTt, INFt represent the Hang Seng Index, Interest rate and Inflation rate in Hong Kong at time t respectively.
Empirical results:①Return of all REITs in Hong Kong
show strong positive dependence on the stock market factor;
②Three of them show significant negative relationship with real interest rate;
③One of them shows significant positive dependence on the expected rent growth of its underlying real estate asset.
EMPIRICAL TEST EMPIRICAL TEST (continued)(continued)
ConclusionsConclusions
The contributions of this study:
combining the government bond market with asset market to find out the change of time value of the money;
capturing the expected income growth based on a mathematical model other than forecasting investigation or econometrics model;
finding out the relationship between REITs market and direct real estate market.
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