Some of the highlights from the 2013 Streets Ahead Pulse Check includes:
- Genworth Homebuyer Confidence Index (HCI) rises 7.2% to its highest ever level
- Australian homeowners optimistic with anticipated hardship decreasing 37%
- First homebuyer confidence increases to its highest ever level at 99.9
- The Australian dream of homeownership is considered unrealistic by 70% of surveyed non-property owners
- Housing affordability is holding back would-be homeowners with 26% of would-be homeowners experiencing difficulty saving for their 20% deposit.
The following presentation provides an overview of the events and trends that took place in the residential housing environment for the first quarter of 2015 and provides an overview of the home price level for a select group of cities throughout the United States.
Some of the highlights from the 2013 Streets Ahead Pulse Check includes:
- Genworth Homebuyer Confidence Index (HCI) rises 7.2% to its highest ever level
- Australian homeowners optimistic with anticipated hardship decreasing 37%
- First homebuyer confidence increases to its highest ever level at 99.9
- The Australian dream of homeownership is considered unrealistic by 70% of surveyed non-property owners
- Housing affordability is holding back would-be homeowners with 26% of would-be homeowners experiencing difficulty saving for their 20% deposit.
The following presentation provides an overview of the events and trends that took place in the residential housing environment for the first quarter of 2015 and provides an overview of the home price level for a select group of cities throughout the United States.
You probably know how much your mortgage payment is, but do you know what's in it? This will explain what's in a mortgage payment, and all the fun things you can do with it. Enjoy!
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Home prices have continued their upward climb, as evidenced by the latest report from S&P/Case-Shiller. However, the most recent data show a sequential deceleration in aggregate price increases. While there are several variables that influence the price trajectory of housing, the recent spike in borrowing rates—in anticipation of tapering by the US Federal Reserve—appears to be a primary driver. In this paper, we discuss the key variables, in addition to housing price indices, that contribute to create a more complete assessment of the fundamentals for a further price recovery.
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Confidence falls for the third consecutive period but the Australian dream of home ownership is still alive...
The Streets Ahead report is released biannually and discusses the results of the Genworth Homebuyer Confidence Index (HCI) which measures existing homebuyer and potential homebuyer sentiment about their own mortgage and the overall mortgage market. It combines data collected fromover 14,000 consumers since 2005 and Genworth’s own unique data, built up over more than 45 years.
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This analysis focuses on measures much beyond PE ratios. And, it concludes that the Stock Market is actually really cheap vs. bonds. But, it appears quite overvalued when focusing on inflation measures.
The Reserve Bank's December Bulletin has painted a bleak picture of the homes first-time buyers can afford, particularly in Sydney.
First-home buyers can afford smaller homes further from the city than they were able to afford in the past, according to the report titled 'Housing accessibility for first-home buyers'.
The report states the median first-home buyer can afford about one-third of the homes in Australia - 32 per cent, and about the average rate of the past 20 years. However, the situation varies enormously from place to place.
The average potential first-home buyer in Sydney could only afford 10 per cent of homes sold in 2016, according to the report.
Source: RBA.
Over the past 20 years, first-home buyers have generally been able to afford 10 to 30 per cent of the homes for sale in Sydney.
And in regional areas, the median first-home buyer could afford almost half the housing stock for sale.
Source: RBA.
The most accessible capital city for first-home buyers was Hobart, with about 60 per cent of homes within reach of first-home buyers.
The quality of first homes has deteriorated across the board, the report claims, but has worsened to the greatest degree in Sydney.
Of the homes considered to be within reach of first-home buyers, the report says "there has been some structural decline in the quality of housing that is affordable to first-home buyers."
The average number of bedrooms in accessible homes has fallen in all capital cities over the past 20 years, and the most sharply in Sydney.
Source: RBA.
First-time buyers could also only afford to live further from the city. The average distance between affordable homes in Sydney and the CBD had risen steadily over the past 10 years.
Source: RBA.
The report also finds that the number of households renting has trended up is recent decades, and rent-to-income ratios for lower-income households have risen in the last 10 years.
You probably know how much your mortgage payment is, but do you know what's in it? This will explain what's in a mortgage payment, and all the fun things you can do with it. Enjoy!
Lazard Investment Research: Update on the Improving Foundations of US House P...LazardLazard
Home prices have continued their upward climb, as evidenced by the latest report from S&P/Case-Shiller. However, the most recent data show a sequential deceleration in aggregate price increases. While there are several variables that influence the price trajectory of housing, the recent spike in borrowing rates—in anticipation of tapering by the US Federal Reserve—appears to be a primary driver. In this paper, we discuss the key variables, in addition to housing price indices, that contribute to create a more complete assessment of the fundamentals for a further price recovery.
Can Treasury Inflation Protected Securities predict Inflation?Gaetan Lion
We look at the spread between Treasuries and TIPS to figure out how effective such observations were in predicting actual inflation several years down the road.
Housing Permits and Starts: Key Economic IndicatorsMaddox_Bielby
There are several economic indicators for the U.S. economy, and one of these is “housing starts.” Housing starts refer to the number of houses which started construction in a given period. In 2017, new housing construction accounted for about 5% of the country’s economy, including 27% of investments. As a leading economic indicator, this statistic could show if the economy is slowing down and is going into recession, or if the economy is improving.
Confidence falls for the third consecutive period but the Australian dream of home ownership is still alive...
The Streets Ahead report is released biannually and discusses the results of the Genworth Homebuyer Confidence Index (HCI) which measures existing homebuyer and potential homebuyer sentiment about their own mortgage and the overall mortgage market. It combines data collected fromover 14,000 consumers since 2005 and Genworth’s own unique data, built up over more than 45 years.
Something not right with the financial system ?Chirayu Mehta
This presentation points out the loopholes in the financial system and considers a possibility of a scam. It reveals interesting facts about the Federal Reserve Bank and its operation.
This analysis focuses on measures much beyond PE ratios. And, it concludes that the Stock Market is actually really cheap vs. bonds. But, it appears quite overvalued when focusing on inflation measures.
The Reserve Bank's December Bulletin has painted a bleak picture of the homes first-time buyers can afford, particularly in Sydney.
First-home buyers can afford smaller homes further from the city than they were able to afford in the past, according to the report titled 'Housing accessibility for first-home buyers'.
The report states the median first-home buyer can afford about one-third of the homes in Australia - 32 per cent, and about the average rate of the past 20 years. However, the situation varies enormously from place to place.
The average potential first-home buyer in Sydney could only afford 10 per cent of homes sold in 2016, according to the report.
Source: RBA.
Over the past 20 years, first-home buyers have generally been able to afford 10 to 30 per cent of the homes for sale in Sydney.
And in regional areas, the median first-home buyer could afford almost half the housing stock for sale.
Source: RBA.
The most accessible capital city for first-home buyers was Hobart, with about 60 per cent of homes within reach of first-home buyers.
The quality of first homes has deteriorated across the board, the report claims, but has worsened to the greatest degree in Sydney.
Of the homes considered to be within reach of first-home buyers, the report says "there has been some structural decline in the quality of housing that is affordable to first-home buyers."
The average number of bedrooms in accessible homes has fallen in all capital cities over the past 20 years, and the most sharply in Sydney.
Source: RBA.
First-time buyers could also only afford to live further from the city. The average distance between affordable homes in Sydney and the CBD had risen steadily over the past 10 years.
Source: RBA.
The report also finds that the number of households renting has trended up is recent decades, and rent-to-income ratios for lower-income households have risen in the last 10 years.
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• Stock market volatility
• Poor returns on most asset classes
Whilst property buy to let experienced a boom period pre credit crunch (2008), it had almost stagnated by 2009/10 as recession took hold, which in turn led to a lack of mortgage products and falling house prices reduced the appetite and confidence of investors.
Having said this, it also must be remembered that property as an asset class has fared far better than any other asset classes with regards to returns, especially as rents during this period have continued to increase.
The purpose of this video is to provide an overview of the recent events and trends that have transpired in the residential housing environment, and to provide an overview of the home-price level for a select group of cities that make up the Adkins 60-City Home Price Index. This analysis is for the second quarter of 2015.
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• The divergence between dwelling values and income growth occurred against a backdrop of lower mortgage rates, and
• Australian’s generally demonstrate a high elasticity of demand for housing, with lower mortgage rates driving high levels of demand contributing to higher housing values.
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The purpose of this presentation is to provide an overview of the traditional residential real estate analysis valuation methodologies and to provide an overview of two proprietary residential real estate analysis valuation methodologies that were developed by the founder of Adkins Capital Management. This presentation provides an overview of the following methodologies:
1) cost-based method
2) sales-based method
3) expense-based method
4) finance-based method
1. Renting versus Buying: System Dynamics Approach to Housing
Siniša Sovilj
University of Zagreb,
HR-10000 Zagreb, CROATIA
sinisa.sovilj@ieee.org
Marina Tkalec
Institute of Economics, Zagreb
HR-10000 Zagreb, CROATIA
mtkalec@eizg.hr
Paper to be presented at the 32nd International Conference of the System Dynamics
Society, Delft, Netherlands, July 20 – July 24, 2014
2. Abstract
This paper studies a widespread and important life dilemma of renting and buying a home.
We adopt a system dynamics approach to housing research and clarify the benefits of
system dynamics and double-entry bookkeeping in modeling the determinants of buying and
renting a home decision. We included all important inflows and outflows of money and
accumulation dynamics of assets, liabilities and equity for both dilemma choices. The
model is general in the sense that one can use data from any market, but in this paper the
parameters are estimated using Croatian historical data. We consider two policy
scenarios; one in which there are tax deductions on interest payments, and the other
without the tax policy measure. Our results suggest that the renting scenario is optimal in
comparison to the buying scenario when there are no tax deductions on interest payments.
This suggests that tax deductions should be introduced in case the government wants to
stimulate the real estate market and the construction sector, or abandoned if the
government perceives a housing bubble is being supported by a certain tax policy.
Keywords: equity flow, home ownership, home renting, system dynamics
Introduction
Buying or renting a home is a widespread personal dilemma and one of the most difficult
and most important ones, as it usually represents the largest life investment for most
people. In its core, the dilemma boils down to a choice between renting a home and renting
money from a financial institution in order to buy a home. Due to its large scale in financial
terms and far-reaching consequences from the dilemma holder’s view, it deserves the
attention of the dilemma holder in the first place, but also the attention of the public policy
maker, and the academia [1, 2].
A thirty-year period prior to the stock market collapse of 2007 that was coupled with
substantial increase in house prices, buying a house was considered a good investment.
Although the estimates for the US show that nominal house prices increased on average by
3. 3 percent, while the rise in real prices, adjusted for inflation, was just a bit above zero [2,
3], housing was indeed a good investment because it was usually leveraged to a great
degree. For example, a house price increase of only three percent and a mortgage with a 20
percent down payment brings a 15 percent increase in homeowner’s equity. In bad times
however, leverage turns against the holder. A 20 percent down payment coupled with a 20
percent price decline, wipes out all of the buyer’s equity [3]. Therefore, taking up a
mortgage to buy a house at the peak of the housing cycle, in 2006 or in 2007, usually meant
that the mortgage owners were soon confronted with falling values of their collateral that
was driving down their net worth, seriously threatening their ability to service the
mortgage. This most recent housing bubble and its burst showed the “good” and the “bad”
side of buying a house and manifested just how severe a mortgage can become if taken at
the wrong time. Now, more than ever, it seems that housing decisions should be done with
great care, taking into consideration all available factors.
This paper uses the system dynamics and double-entry bookkeeping approach in order to
model all available determinants of buying and renting a house. We included all important
inflows and outflows of money and accumulation dynamics of assets, liabilities and equity
for both dilemma choices. The conclusions we made are based on the dynamics of the
equity flow and the stock accumulation in different scenarios. Our results offer an analysis
of both strategies and provide straightforward advice on the choice of housing strategy.
The key parameters of the model are: housing appreciation rate (measured by prices),
mortgage fixed interest rate, interest rate on saving deposits or return on investment if the
saving deposit is invested, property tax rate, and deductibility of the mortgage interest. To
estimate the parameters we use historical data available for the Croatian real estate market.
However, as the modeling approach is general, the data can be from any market and
especially from the US real estate market which has the longest historical data series.
Most people confronted with the dilemma, naively compare monthly annuity payments
with monthly rent payments, and make their decisions based on this simple comparison.
However, this way they ignore the fact that a part of the monthly annuity payment goes to
the principal (inflow to equity) which is similar to saving, while the interest portion of the
4. payment is deductible and in some degree can offset the interest expense on home
mortgage. Moreover, simply comparing the housing and the stock market ignores the fact
that housing pays something as a dividend because one can live in it without paying rent. In
order to make the comparison credible, living in a house should pay an “occupancy
dividend” of around seven percent [3].
Besides tangible variables, there are also many intangible ones. For example, in case the
landlord decides to raise the rent or if he decides to sell the property, the renters are in
distress. Not negligible is also the fact that in some countries, owning a house is often
regarded as a sign of success [4]. On the other hand, the renting a home offers the
flexibility and the alternative when the housing market is overpriced [1]. The recent study
[5] has shown that the high levels of home ownership are strongly linked to subsequent
rises in unemployment because labor mobility becomes reduced.
The buying vs. renting dilemma is obviously complex, implying that a complex analysis
should be applied in order to study it. We therefore take the system dynamics approach
because it seems to be the right tool for simulating and optimizing the choice between
renting and buying a home.
The rest of the paper is organized as follows. The following section displays the
methodology employed in detail. The third section presents results, while in the last section
we discuss the results and conclude the paper.
Stylized Facts
In this moment, 92% of households in Croatia are owners of their apartment or house. The
average apartments’ area is around 74.4 m2, with the average nominal price 1309 EUR/m2
in 2013 gives the initial home price set to 100.000 EUR.
Historical data series for the home price index are available at [6, 7] are shown in Figure 1,
covering the period of last 15 year (from 1998 to 2013). The nominal home price had a
mean annual change of 2.14%/year or median change of 1.74%/year. But when deflated by
5. CPI the real home price index brings substantially different statistics, with the annual mean
change of -0.46%/year and median change of -1.84%/year.
Figure 1. Historical Home Price Index for last 180 months (15 years).
Home Price Index
200
180
160
140
120
100
80
60
40
20
0
2 2
2 2 2
2
2
2
2
2 2
2
2
2 2
1 1
1 1
1
1
1
1
1
1
1
1
1
1
1
1
0 18 36 54 72 90 108 126 144 162 180
Time (Month)
Nominal Home Price Index : # 1 1 1 1 1 1 1 1 1 1 1
Real Home Price Index : # 2 2 2 2 2 2 2 2 2 2 2
6. Figure 2. Mortgage and Deposits Interest Rates in last 180 months (15 years).
Figure 2 shows mortgage interest rates (with historical annual mean 7.06% and median
6.49%) and interest rate on deposits (with historical annual mean 5.41% and median
4.84%) which both give a bank spread premium of 1.65% annually.
Methodology
We set the tax rate for buying a house (property sales tax) at 5 percent. As property tax has
not yet been introduced in Croatia, we use the expected rate that is assumed to be around
0.15 percent of the house value paid annually. We have examined the effect of both of these
taxation scenarios on the buying versus renting dilemma.
We set the initial house price at 100,000 euros allowing both appreciation and depreciation
of the house value, as defined by the annual appreciation/depreciation rate.
We design two versions of the model: (1) the renting model shown in Figure 3 and (2) the
buying model shown in Figure 4. Both models are inspired by the work of the colleague,
professor Kaoru Yamaguchi [8], who has applied double-entry bookkeeping principles in
his modeling methodology. Bookkeeping principles make models more organized, and they
increase visualization quality, understanding, and motivation for research.
Mortgage Interest Rate
10
8.5
7
5.5
4
2.5
1
-0.5
-2
-3.5
-5
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2 2
2
2
2
2
2
2
2
2
2
2
2
2
1
1 1 1
1
1
1
1
1 1 1
1
1
1
1 1
0 18 36 54 72 90 108 126 144 162 180
Time (Month)
%
Nominal Mortgage Interest Rate : # 1 1 1 1 1 1 1 1 1 1
Real Mortgage Interest Rate : # 2 2 2 2 2 2 2 2 2 2
"CPI" : # 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Deposits Interest Rate
10
8.5
7
5.5
4
2.5
1
-0.5
-2
-3.5
-5
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2 2
1
1
1
1 1
1
1 1
1
1
1
1 1
1
1 1
0 18 36 54 72 90 108 126 144 162 180
Time (Month)
%Nominal Interest Rate on Deposits : # 1 1 1 1 1 1 1 1 1 1
Real Interest Rate on Deposits : # 2 2 2 2 2 2 2 2 2 2
"CPI" : # 3 3 3 3 3 3 3 3 3 3 3 3 3 3
7. As shown in Figure 3, the renting model has only one liability stock which accumulates
renting expenses equal to a monthly rent. On the asset side, the renter has an initial saving
deposit (the principle), which is enlarged periodically by depositing new monthly savings.
These savings inflows depend on disposable income, renting expenses, and the marginal
propensity to consume. The renter also receives interest on saving that is included in the
amount of saving. Conservatively, we use the average bank passive interest rate on deposits
as the investment interest rate on saving deposits. Alternatively, the average return on
investments in securities or stocks can be used as well. We differentiate between the
interest and the principle in order to detect the exact contribution of savings, and the exact
contribution of interest in the appreciation of the renter’s asset.
We define the equity stock as a difference between assets and liabilities. Therefore the “Net
Worth of Equity” stock is defined as the accumulation of the difference between equity
inflows (saving and interest) and equity outflows (renting expenses), where initial equity is
equal to initial saving deposits. We were mostly interested in the dynamics of “Net Worth
of Equity” stock and the “Equity Inflow/Outflow Balance” flow. Obviously, positive and
maximal performance of both of these two variables is preferable. From these flows and
stocks we can derive some investment measures, such as return on equity (ROE) and
present value (PV) of future equity cash flows.
8. Figure 3. The renting model.
Figure 4 presents the buying model. The liabilities in the model are the “Mortgage Loan”
and the “Interest on Mortgage Loan” that have to be paid to the mortgage provider. Again
we separate the flows of the “Principle Payment” and the “Interest Payment“, because only
the interest is allowed to be recognized for tax deductions, and because the interest is
treated as equity outflow while the principle payment is treated as equity inflow (similar to
savings in the renter’s model).
The initial mortgage loan depends on the initial house price and on the amount of down
payment (that is 20 percent of the house price on average).
On the asset side we allow the house value to appreciate/depreciate depending on the
appreciation/depreciation rate. The system is very sensitive to this parameter, and for the
moment we have conservatively set the appreciation rate to 1.74% percent as our historical
data suggest. Later on, we plan to set the appreciation/depreciation rate to higher levels, as
one can usually notice in the short- and medium-run.
Saving Deposit
Accumulated
(Renting)
Investment Interest
Rate
Initial Saving
Deposit
PER YEAR
Accounts
Payable
(Renting)
Net Worth
of Equity
(Renting)
Equity
Assets
Saving (Renting)
Renting Expenses
Rent [per month]
<Renting
Expenses>
Gross Income
[per year]
Disposable (Net)
Income (Renting)
Income Tax Rate
<Renting
Expenses> Marginal
Propensity to
Consume
Liabilities
<Initial Saving
Deposit>
Equity Inflow/Outflow
Balance (Renting)
Equity Inflow
(Renting)
Equity Outflow
(Renting)
Interest on
Saving Deposit
Accumulated
(Renting)
Interest on Saving
Deposit
<Interest on Saving
Deposit>
<Saving
(Renting)>
Basic
Consumption
9. In the buying model, we also allow for saving, depending on the amount of disposable
income less taxes and expenses incurred as a consequence of buying a house (such as
property tax, maintenance costs, and mortgage payments). Tax deductions in the form of
income tax savings are included because the owner incurs tax deductible costs related to
property tax and mortgage interest payments.
Initial “Net Worth of Equity” is equal to “Initial Saving Deposit” reduced by the “Property
Sales Tax” that has to be paid in the moment of buying the house. The buying model is
obviously more complex, but from flows and stocks similar investment measures as return
on equity (ROE) and present value (PV) of future equity cash flow can be derived.
Figure 4. The buying model.
Home
Value
Home
Appreciation
Appreciation Rate
Initial House Price
Mortgage
Loan
Balance
Net Worth of
Equity
(Buying)
Equity
Assets
<Home
Appreciation>
Disposable (Net)
Income (Buying)
Liabilities
<Gross Income
[per year]>
<Income Tax
Rate>
<Marginal
Propensity to
Consume>
Saving
Deposit
Accumulated
(Buying)Saving (Buying)
<Investment
Interest Rate>
Annual Mortgage
Interest Rate
Initial
Mortgage
LoanTerm [in years]
<Initial House
Price>
<Initial Saving
Deposit>
Down
Payment [%]
Maximal House
Price
Home Price
SWITCH (Mortgage Type):
fixed rate/ adjustable rate
Mortgage
Payment
Interest on
Mortgage
Loan
Interest
Payment
Principle
Payment
<Initial
Saving
Deposit>
<Principle
Payment>
<Interest
Payment>
Property
Tax
Accured
Property Tax
Property Tax Rate
<HomeValue>
<PER YEAR>
<Property Tax>
Tax Savings
AccumulatedTax Saving
SWITCH Tax
Savings: off/on
<Property Tax>
<Interest Payment>
<PER YEAR>
<Tax Saving>
SWITCH Property
Tax: off/on
Maintenance
Cost
Accured
Maintenance
Cost
Maintenance
Cost Rate
<HomeValue>
<PER YEAR>
<Maintenance
Cost>
Equity Outflow
(Buying)
Equity Inflow
(Buying)
Equity Inflow/Outflow
Balance (Buying)
Property Sales
Tax Rate
Initial Propery
Sales Tax
Interest on
Savings
Accumulated
(Buying)Interest on Savings
(Buying)
<PER YEAR>
<Initial
Propery
Sales Tax>
<Maintenance
Cost>
<Principle
Payment>
<Saving (Buying)>
<Interest on Savings
(Buying)>
<Basic
Consumption>
Max Annual Tax
Deduction
10. Table 1 presents the list of all variables and their initial values used for estimating model
parameters.
Table 1. Model parameters’ names and default values.
Parameter Value
Gross Income 16,800 EUR/year
Income Tax Rate 12% and 25% (income dependable)
Marginal Propensity to Consume 0.7
Basic Consumption 100 EUR/month
Initial Saving Deposit 20,000 EUR
Investment / Interest Rate on Deposit (annual) 5.41%
Rent 400 EUR/month
Discount Rate (=Cost of Capital) 7%
Appreciation Rate (annual) 1.74%
Maximal Annual Tax Deduction 1600 EUR/year
Mortgage Interest Rate (annual) 6.49%
Term (of mortgage) 30 year
Property Sales Tax Rate 5%
Property Tax Rate (annual) 0.15%
Maintenance Cost Rate (annual) 0.5%
Down Payment 20%
Initial House Price 100,000 EUR
11. Results
Figure 5 shows the results of simulation for the renting model (blue line, marked with “1”)
and the buying model (red line, marked with “2”) in the “Scenario A” without tax
deduction.
Figure 5. Scenario (A), without tax deductions. Equity Inflow/Outflow Balance, Net
Worth of Equity, ROE and Present Value of Equity.
Equity Inflow/Outflow
900
660
420
180
-60
-300
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
0 54 108 162 216 270 324
Time (Month)
EUR
"Equity Inflow/Outflow Balance (Renting)" : # 1 1 1 1 1 1
"Equity Inflow/Outflow Balance (Buying)" : # 2 2 2 2 2 2
Net Worth of Equity
100,000
78,800
57,600
36,400
15,200
-6,000
2
2
2
2 2
2
2
2
2
2
1
1
1 1 1
1
1
1
1
1
0 54 108 162 216 270 324
Time (Month)
EUR
"Net Worth of Equity (Renting)" : # 1 1 1 1 1
"Net Worth of Equity (Buying)" : # 2 2 2 2
ROE
5
3
1
-1
-3
-5
2
2
2
2
2
2
2
2
2
2
2
1 1
1
1
1
1 1 1 1 1 1
0 54 108 162 216 270 324
Time (Month)
Percent
"ROE (Renting)" : # 1 1 1 1 1 1 1
"ROE (Buying)" : # 2 2 2 2 2 2 2
Present Value of Equity
30,000
23,940
17,880
11,820
5,760
-300
2
2
2
2 2
2
2
2
2
2
1
1
1
1 1
1
1
1
1
1
0 54 108 162 216 270 324
Time (Month)
EUR
"PV (Renting)" : # 1 "PV (Buying)" : # 2
12. Figure 6 shows the results of simulation for the renting model (blue line, marked with “1”)
and the buying model (red line, marked with “2”) in the “Scenario B” with tax deduction
included.
Figure 6. Scenario (B), with tax deductions. Equity Flow Balance, Net Worth of
Equity, ROE and Present Value of Equity.
Equity Inflow/Outflow
1,000
760
520
280
40
-200
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
0 54 108 162 216 270 324
Time (Month)
EUR
"Equity Inflow/Outflow Balance (Renting)" : # 1 1 1 1 1 1
"Equity Inflow/Outflow Balance (Buying)" : # 2 2 2 2 2 2
Net Worth of Equity
200,000
160,000
120,000
80,000
40,000
0
2 2 2 2 2
2
2
2
2
2
1
1 1 1 1
1
1
1
1
1
0 54 108 162 216 270 324
Time (Month)
EUR
"Net Worth of Equity (Renting)" : # 1 1 1 1 1
"Net Worth of Equity (Buying)" : # 2 2 2 2
ROE
5
3
1
-1
-3
-5
2 2
2
2
2 2 2 2 2 2 2
1 1 1
1
1
1 1 1 1 1 1
0 54 108 162 216 270 324
Time (Month)
Percent
"ROE (Renting)" : # 1 1 1 1 1 1 1
"ROE (Buying)" : # 2 2 2 2 2 2 2
Present Value of Equity
30,000
24,000
18,000
12,000
6,000
0
2
2
2 2
2
2
2
2
2
2
1
1
1
1 1
1
1
1
1
1
0 54 108 162 216 270 324
Time (Month)
EUR
"PV (Renting)" : # 1 "PV (Buying)" : # 2
13. Discussion & Conclusion
Scenario (A) in Figure 5 clearly shows that at the moment, as described by parameters in
Table 1, the renting scenario is optimal in comparison to the buying scenario. The equity
flow is negative for the first 10 years (or 120 months) but afterwards it becomes and stays
positive. The effective ROE bottoms out at around -0.8 percent in the first 10 years, but
eventually it starts to increase as the capital invested from saving deposits grows and
converges towards a 1 percent annual return.
The renting scenario also allows higher savings due to a lower monthly cash outflow
(around 400 EUR a month), which eventually leads to higher saving after consumption. At
the end of the 30-year period, the equity from the initial 20,000 EUR accumulates to 91,382
EUR. The present value of equity future cash flows discounted by the average cost of
capital set at 7% is equal to 28,159 EUR.
In the buying scenario, the initial saving deposit is substantially decreased by the initial 5%
property sales tax. The cash outflow due to mortgage payments is higher (505.13 EUR),
and the equity flow is more negative and it takes 15 years (or 180 months) before it
becomes positive. The net worth of equity is negative for substantial time, and the initial
saving deposit invested as the part of equity is wiped out, and it takes 20 years (period
between 240-360 months) when the equity to become positive, due to a higher portion of
the principle payment at the mortgage term ending. After 30-years period, the net worth of
equity is equal to 60,090 EUR, significantly lower in comparison to 91,382 EUR from the
renting model. If we discount the future cash flow to equity with the discount rate of 7
percent, the present value of the future equity flow is only 11,713 EUR.
The reason for such discrepancy between the two scenarios for Croatia is in the tax
deduction which was abandoned in 2010. Before 2010, income tax deductions were
recognized for mortgage interest payments to the amount up to 1,600 EUR annually.
In Scenario (B) we model the market prior to 2010, therefore allowing the tax deduction.
From Figure 6 we can conclude that the buying model is now the preferred one. The
dynamics of both models looks fairly similar, but the buying model accumulates slightly
14. more equity at the amount of 97,370 EUR, significantly higher than the 91,382 EUR
accumulated in the renting model.
These results have interesting policy implications as they provide evidence of tax policy
effect on the housing market. In case the government wants to stimulate the real estate
market and the construction sector, it should allow for tax deductions on mortgage interest
or similar measures that make the buying strategy preferred when compared to the renting
strategy. On the other hand, if the government perceives a housing bubble is being
supported by a certain tax policy, it should reconsider its policy aims and adjust tax rates
and incentives accordingly.
For further research we would like to introduce the inflation rate and discuss real values
and nominal values when making housing investment decisions.
15. References
1. Khan, S., Finance and Capital Markets: Housing, in Videos on finance and
macroeconomics, S. Khan, Editor 2014, Khan Academy.
2. Shiller, R.J., Understanding Recent Trends in House Prices and Homeownership.
Housing, Housing Finance and Monetary Policy, 2008: p. 85-123
3. Conerly, B. Should You Buy A House Or Rent? The Economics Of Homeownership.
Forbes, 2013.
4. Oh, D. and J.R. Burns. Estimating the Home-Purchase Cost of Seoul Citizens in
International System Dynamics Conference 2010. 2010. Seoul, Korea.
5. Blanchflower, D.G. and A.J. Oswald, Does High Home-Ownership Impair the
Labor Market? National Bureau of Economic Research Working Paper, 2013(No.
19079).
6. CBS. Croatian Bereau of Statistics - Croatian Economic Survey. 2013; Available
from: http://www.dzs.hr/default_e.htm.
7. CNB. Croatian Nationa Bank - Bulletin - Statistical Survey. Available from:
http://www.hnb.hr/eindex.htm.
8. Yamaguchi, K., Money and Macroeconomic Dynamics - Accounting System
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