Summary Real Estate Finance and Urban Development
Week 1
Chapter 7: single-family housing: Pricing, investment and tax considerations
Chapter 21: Real estate investment trusts (REITs)
Paper DiPasquele and Wheaton: Four Quadrant Model
Lecture slides week 1
Tutorial slides week 1
Lecture slides + Book Chapter 7 & 21 + paper
Four quadrant model
What is real estate:
The stock of buildings, the land on which they are built, and all vacant land
2 separate markets
Space or property market: user rents (space is rented out, investors)
Asset market: owner sale (space used by owner: owner-occupiers)
Commercial real estate: income producing properties
Space market:
Demand for current stock of supply: rent level and vacancy (occupancy)
Segmented: local and usage categories
Asset market:
Cash-flows (NOI: net operating income)
Opportunity costs of capital r and expected growth rate g:
r – g: cap rate
capital market: international: money is fungible (vervangbaar)
Development industry:
In the short-run supply is fixed (supply is kinked)
- It takes time to build new properties
- Also demolition and conversion takes time
If development is profitable (buildings costs + land value + ‘normal’ profit asset price), then
physical stock is added
Impact on space market: rents and vacancy
,The four-quadrant model
NW NE
Represents long-run equilibrium (*):
- Q: physical stock
- R: rent level
- P: asset price
- C: new construction
SW SE
NE-quadrant: space market
Conditional on the stock, the demand function (D) gives the rent
The higher the stock, the lower the rent
NW-quadrant: asset market
Conditional on the rent, the asset market is determined
Depends on discount rate and growth expectation
The steeper the curve, the higher the cap rate (r – g)
If (r-g) goes up, P goes down
The north-quadrants represent short-run price link between asset and space market
The south-quadrants represent long-run effect of development industry
SW-quadrant: development industry: construction
Conditional on the property price, it may or may not be profitable to build
Outward sloping: more construction when asset prices increase
A horizontal line implies asset prices do not impact new construction
An almost vertical line implies asset prices highly impact new construction
SE-quadrant: space market: stock adjustment
Linking the rate of construction to the total stock of built space available
In absence of new construction, older space will be removed from the stock (depreciation)
The Four-Quadrant model: Powerpoint
A shock in demand for space (NW)
NE: higher rent from R* to initially R1 (on short run Q is fixed)
NW: higher asset prices, from P* to initially P1
The new long-run equilibrium rent R** and price P** are lower
than R1 and P1
Due to new construction
Boom-bust cycle
A shock in demand for real estate investment (NE)
Higher growth expectations, consider RE (real estate) less risky
NE: higher asset prices, from P* to initially P1
NE: some overshooting, new equilibrium price is P**
,The Four-Quadrant model: Paper
The Markets for Real Estate Assets and Space: A Conceptual Framework
Denise DiPasquale and William C. Wheaton
Figure 1: The four quadrants explained (like above)
Figure 2: illustrates the effects of increased demand for real estate space on rents, asset prices,
construction, and the stock of space. Increased demand for space leads to higher rents (NE quadrant),
which in turn lead to higher asset prices (NW quadrant), stimulating new construction (SW quadrant) and
ultimately increasing the stock of space (SE quadrant).
Higher demand space: higher R higher P higher C higher Q
Figure 3 (not 4Q-model): shows the relationship between office employment growth, office space
construction, and the office vacancy rate in the United States. This figure empirically supports the model's
prediction that the real estate market responds to economic conditions. During economic downturns,
vacancies rise and construction falls, whereas the opposite occurs during periods of economic growth.
Figure 4: demonstrates the impact of increased demand for real estate assets on the market. Factors that
can increase the demand for real estate assets include lower interest rates, decreased risk perception, and
favourable changes in the tax treatment of real estate income. Increased demand for assets leads to higher
asset prices (NW quadrant), stimulating construction (SW quadrant), increasing the stock of space (SE
quadrant), and ultimately putting downward pressure on rents (NE quadrant).
Higher demand assets: higher P higher C higher Q lower R
Figure 5: examines the historical relationship between house prices and mortgage interest rates, showing a
generally inverse relationship. This empirical observation supports the model's prediction that lower interest
rates, which increase the demand for real estate assets, lead to higher asset prices.
Lower interest rates higher demand real estate assets higher asset prices
Figure 6: depicts the effects of decreased supply of new construction on the real estate market. Factors
leading to decreased supply include higher short-term interest rates, restricted credit availability, stricter
zoning regulations, and increased building regulations. Decreased supply leads to reduced construction
(SW quadrant), lowering the stock of space (SE quadrant), pushing rents higher due to scarcity (NE
quadrant), and ultimately increasing asset prices (NW quadrant).
Lower supply new construction: lower C lower Q higher R higher P
Single-family housing – Book: Brueggeman and Fisher
Chapter 7: single-family housing: pricing, investment, and tax considerations
Housing Affordability and Demand
Factors Influencing Demand: The text highlights that various economic factors can influence the
demand for housing, including population growth, household formation, employment levels,
household income, interest rates, federal income tax policies, and rental costs. This suggests a multi-
, faceted approach to understanding housing demand that goes beyond simple supply and demand
models.
Positive Correlation between Price Appreciation and Economic Growth: The source emphasizes
the positive correlation between house price appreciation and growth in income and employment.
This connection implies a theory where economic prosperity drives housing demand and,
consequently, price increases.
Rental vs. Ownership Decisions
Financial Considerations and Cash Flow Analysis: The source underscores the importance of
comparing the cash flows associated with renting versus owning when making housing decisions.
This suggests a financial theory where the decision to rent or buy is driven by a cost-benefit analysis
of the associated cash flows.
Tax Advantages for Homeowners: The text emphasizes the tax benefits homeowners receive, such
as the deductibility of property taxes and mortgage interest. This points to a theory that considers tax
policies as significant factors influencing housing affordability and ownership decisions.
Investment Perspectives on Housing
Equity Gains through Price Appreciation: The source highlights the potential for substantial
equity gains through house price appreciation as a key motivation for housing investors, especially
when financing with a mortgage. This aligns with an investment theory where appreciation potential
is a primary driver of housing investment decisions.
Leverage and the Wealth Effect: The text discusses how leverage amplifies equity gains and
introduces the concept of the "wealth effect," where increased home equity can stimulate consumer
spending. This suggests a theory that links housing investment to broader economic activity through
its impact on consumer behaviour and spending patterns.
Market Dynamics and Valuation
Housing Supply Factors: The source identifies various factors influencing housing supply,
including construction costs, interest rates on construction loans, and existing vacancy rates. This
points to a market theory that considers multiple inputs affecting the supply side of the housing
market.
Submarket Analysis and the Capitalisation Effect: The text emphasizes the need to analyse
individual submarkets within broader metropolitan areas, considering attributes like education
quality, public safety, and transportation infrastructure. The source introduces the "capitalisation
effect," where the value of public services in a submarket, relative to taxes, can explain price
differences between submarkets. This presents a theory that recognizes localized variations in
housing markets and the impact of public goods and services on property values.
Appraisal Techniques: The source discusses the cost and sales comparison approaches as primary
methods for residential valuations. This underscores the reliance on established appraisal theories
and methodologies to determine fair market value in housing transactions.
Distressed Properties
Three-Phase Financial Analysis Framework: The text outlines a framework for analysing
investments in distressed properties, consisting of acquisition, holding period, and disposition
phases. This suggests a theory that approaches distressed property investment as a strategic process
with distinct stages and financial considerations.
Week 1
Chapter 7: single-family housing: Pricing, investment and tax considerations
Chapter 21: Real estate investment trusts (REITs)
Paper DiPasquele and Wheaton: Four Quadrant Model
Lecture slides week 1
Tutorial slides week 1
Lecture slides + Book Chapter 7 & 21 + paper
Four quadrant model
What is real estate:
The stock of buildings, the land on which they are built, and all vacant land
2 separate markets
Space or property market: user rents (space is rented out, investors)
Asset market: owner sale (space used by owner: owner-occupiers)
Commercial real estate: income producing properties
Space market:
Demand for current stock of supply: rent level and vacancy (occupancy)
Segmented: local and usage categories
Asset market:
Cash-flows (NOI: net operating income)
Opportunity costs of capital r and expected growth rate g:
r – g: cap rate
capital market: international: money is fungible (vervangbaar)
Development industry:
In the short-run supply is fixed (supply is kinked)
- It takes time to build new properties
- Also demolition and conversion takes time
If development is profitable (buildings costs + land value + ‘normal’ profit asset price), then
physical stock is added
Impact on space market: rents and vacancy
,The four-quadrant model
NW NE
Represents long-run equilibrium (*):
- Q: physical stock
- R: rent level
- P: asset price
- C: new construction
SW SE
NE-quadrant: space market
Conditional on the stock, the demand function (D) gives the rent
The higher the stock, the lower the rent
NW-quadrant: asset market
Conditional on the rent, the asset market is determined
Depends on discount rate and growth expectation
The steeper the curve, the higher the cap rate (r – g)
If (r-g) goes up, P goes down
The north-quadrants represent short-run price link between asset and space market
The south-quadrants represent long-run effect of development industry
SW-quadrant: development industry: construction
Conditional on the property price, it may or may not be profitable to build
Outward sloping: more construction when asset prices increase
A horizontal line implies asset prices do not impact new construction
An almost vertical line implies asset prices highly impact new construction
SE-quadrant: space market: stock adjustment
Linking the rate of construction to the total stock of built space available
In absence of new construction, older space will be removed from the stock (depreciation)
The Four-Quadrant model: Powerpoint
A shock in demand for space (NW)
NE: higher rent from R* to initially R1 (on short run Q is fixed)
NW: higher asset prices, from P* to initially P1
The new long-run equilibrium rent R** and price P** are lower
than R1 and P1
Due to new construction
Boom-bust cycle
A shock in demand for real estate investment (NE)
Higher growth expectations, consider RE (real estate) less risky
NE: higher asset prices, from P* to initially P1
NE: some overshooting, new equilibrium price is P**
,The Four-Quadrant model: Paper
The Markets for Real Estate Assets and Space: A Conceptual Framework
Denise DiPasquale and William C. Wheaton
Figure 1: The four quadrants explained (like above)
Figure 2: illustrates the effects of increased demand for real estate space on rents, asset prices,
construction, and the stock of space. Increased demand for space leads to higher rents (NE quadrant),
which in turn lead to higher asset prices (NW quadrant), stimulating new construction (SW quadrant) and
ultimately increasing the stock of space (SE quadrant).
Higher demand space: higher R higher P higher C higher Q
Figure 3 (not 4Q-model): shows the relationship between office employment growth, office space
construction, and the office vacancy rate in the United States. This figure empirically supports the model's
prediction that the real estate market responds to economic conditions. During economic downturns,
vacancies rise and construction falls, whereas the opposite occurs during periods of economic growth.
Figure 4: demonstrates the impact of increased demand for real estate assets on the market. Factors that
can increase the demand for real estate assets include lower interest rates, decreased risk perception, and
favourable changes in the tax treatment of real estate income. Increased demand for assets leads to higher
asset prices (NW quadrant), stimulating construction (SW quadrant), increasing the stock of space (SE
quadrant), and ultimately putting downward pressure on rents (NE quadrant).
Higher demand assets: higher P higher C higher Q lower R
Figure 5: examines the historical relationship between house prices and mortgage interest rates, showing a
generally inverse relationship. This empirical observation supports the model's prediction that lower interest
rates, which increase the demand for real estate assets, lead to higher asset prices.
Lower interest rates higher demand real estate assets higher asset prices
Figure 6: depicts the effects of decreased supply of new construction on the real estate market. Factors
leading to decreased supply include higher short-term interest rates, restricted credit availability, stricter
zoning regulations, and increased building regulations. Decreased supply leads to reduced construction
(SW quadrant), lowering the stock of space (SE quadrant), pushing rents higher due to scarcity (NE
quadrant), and ultimately increasing asset prices (NW quadrant).
Lower supply new construction: lower C lower Q higher R higher P
Single-family housing – Book: Brueggeman and Fisher
Chapter 7: single-family housing: pricing, investment, and tax considerations
Housing Affordability and Demand
Factors Influencing Demand: The text highlights that various economic factors can influence the
demand for housing, including population growth, household formation, employment levels,
household income, interest rates, federal income tax policies, and rental costs. This suggests a multi-
, faceted approach to understanding housing demand that goes beyond simple supply and demand
models.
Positive Correlation between Price Appreciation and Economic Growth: The source emphasizes
the positive correlation between house price appreciation and growth in income and employment.
This connection implies a theory where economic prosperity drives housing demand and,
consequently, price increases.
Rental vs. Ownership Decisions
Financial Considerations and Cash Flow Analysis: The source underscores the importance of
comparing the cash flows associated with renting versus owning when making housing decisions.
This suggests a financial theory where the decision to rent or buy is driven by a cost-benefit analysis
of the associated cash flows.
Tax Advantages for Homeowners: The text emphasizes the tax benefits homeowners receive, such
as the deductibility of property taxes and mortgage interest. This points to a theory that considers tax
policies as significant factors influencing housing affordability and ownership decisions.
Investment Perspectives on Housing
Equity Gains through Price Appreciation: The source highlights the potential for substantial
equity gains through house price appreciation as a key motivation for housing investors, especially
when financing with a mortgage. This aligns with an investment theory where appreciation potential
is a primary driver of housing investment decisions.
Leverage and the Wealth Effect: The text discusses how leverage amplifies equity gains and
introduces the concept of the "wealth effect," where increased home equity can stimulate consumer
spending. This suggests a theory that links housing investment to broader economic activity through
its impact on consumer behaviour and spending patterns.
Market Dynamics and Valuation
Housing Supply Factors: The source identifies various factors influencing housing supply,
including construction costs, interest rates on construction loans, and existing vacancy rates. This
points to a market theory that considers multiple inputs affecting the supply side of the housing
market.
Submarket Analysis and the Capitalisation Effect: The text emphasizes the need to analyse
individual submarkets within broader metropolitan areas, considering attributes like education
quality, public safety, and transportation infrastructure. The source introduces the "capitalisation
effect," where the value of public services in a submarket, relative to taxes, can explain price
differences between submarkets. This presents a theory that recognizes localized variations in
housing markets and the impact of public goods and services on property values.
Appraisal Techniques: The source discusses the cost and sales comparison approaches as primary
methods for residential valuations. This underscores the reliance on established appraisal theories
and methodologies to determine fair market value in housing transactions.
Distressed Properties
Three-Phase Financial Analysis Framework: The text outlines a framework for analysing
investments in distressed properties, consisting of acquisition, holding period, and disposition
phases. This suggests a theory that approaches distressed property investment as a strategic process
with distinct stages and financial considerations.
