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International Journal of Civil Engineering and Technology (IJCIET)
Volume 9, Issue 12, December 201
Available online at http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12
ISSN Print: 0976-6308 and ISSN Online: 0976
©IAEME Publication
ASSESSMENT OF MAJOR
DEVELOPMENT OF F
INSTRUMENTS IN MOSCO
PREPARATION FOR THE
OF LARGE
CONSTRUCTION PROJECT
Research and Development Center "City
ABSTRACT
Major trends in mortgage lending are analyzed. The dynamics of mortgage loans
issued in terms of value and quantity are reviewed. The dynamics of housing mortgage
loans (HML) issued in foreign currency are reviewed separately. Moscow, the
Moscow region and St. Petersburg are
mortgage lending markets. The ratio of the arrears volume to the total debt on
mortgage loans is also analyzed, as well as the dynamics of the potential housing
volume that can be purchase
Russian Federation in general and in the territories of the specified regions. The
downward trend in gross domestic product (GDP), described by a slowdown in the
fall rates by the end of 2016, is con
affecting mortgage lending. The interest rate subsidies are an existing instrument of
state support for HML.
Keywords: Housing Mortgage Lending, Funding, Securitization, Debt in Housing
Mortgage Loans Issued, Arrears
Product, Mortgage-Backed Securities (MBC), Multiplicative Effect.
Cite this Article: Ilya LeonidovichKievskiy, Assessment of Major Trends In The
Development of Financial Economic Instruments In Moscow Used In Preparation For
The Implementation of Large
International Journal of Civil Engineering and Technology (IJCIET)
348–357.
http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12
IJCIET/index.asp 348 editor@iaeme.com
International Journal of Civil Engineering and Technology (IJCIET)
2018, pp. 348–357, Article ID: IJCIET_09_12_03
http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12
6308 and ISSN Online: 0976-6316
Scopus Indexed
ASSESSMENT OF MAJOR TRENDS IN THE
DEVELOPMENT OF FINANCIAL ECONOMIC
INSTRUMENTS IN MOSCOW USED IN
PREPARATION FOR THE IMPLEMENTATION
OF LARGE-SCALE URBAN DISPERSE
CONSTRUCTION PROJECTS
Ilya LeonidovichKievskiy
Research and Development Center "City Development" LLC - 129090
Moscow, Russian Federation
Major trends in mortgage lending are analyzed. The dynamics of mortgage loans
issued in terms of value and quantity are reviewed. The dynamics of housing mortgage
loans (HML) issued in foreign currency are reviewed separately. Moscow, the
n and St. Petersburg are presented as the main examples of regional
mortgage lending markets. The ratio of the arrears volume to the total debt on
mortgage loans is also analyzed, as well as the dynamics of the potential housing
volume that can be purchased for the annual amount of housing mortgage loans in the
Russian Federation in general and in the territories of the specified regions. The
downward trend in gross domestic product (GDP), described by a slowdown in the
fall rates by the end of 2016, is considered as one of the main macroeconomic factors
affecting mortgage lending. The interest rate subsidies are an existing instrument of
Housing Mortgage Lending, Funding, Securitization, Debt in Housing
, Arrears in Housing Mortgage Loans Issued, Gross Domestic
Backed Securities (MBC), Multiplicative Effect.
Ilya LeonidovichKievskiy, Assessment of Major Trends In The
Development of Financial Economic Instruments In Moscow Used In Preparation For
The Implementation of Large-Scale Urban Dispersed Construction P
International Journal of Civil Engineering and Technology (IJCIET) 9(1
http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12
editor@iaeme.com
038
http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12
TRENDS IN THE
INANCIAL ECONOMIC
W USED IN
IMPLEMENTATION
SCALE URBAN DISPERSED
S
129090,
Major trends in mortgage lending are analyzed. The dynamics of mortgage loans
issued in terms of value and quantity are reviewed. The dynamics of housing mortgage
loans (HML) issued in foreign currency are reviewed separately. Moscow, the
as the main examples of regional
mortgage lending markets. The ratio of the arrears volume to the total debt on
mortgage loans is also analyzed, as well as the dynamics of the potential housing
d for the annual amount of housing mortgage loans in the
Russian Federation in general and in the territories of the specified regions. The
downward trend in gross domestic product (GDP), described by a slowdown in the
sidered as one of the main macroeconomic factors
affecting mortgage lending. The interest rate subsidies are an existing instrument of
Housing Mortgage Lending, Funding, Securitization, Debt in Housing
n Housing Mortgage Loans Issued, Gross Domestic
Ilya LeonidovichKievskiy, Assessment of Major Trends In The
Development of Financial Economic Instruments In Moscow Used In Preparation For
Scale Urban Dispersed Construction Projects,
9(12), 2018, pp.
http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12
Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow
Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects
http://www.iaeme.com/IJCIET/index.asp 349 editor@iaeme.com
1. INTRODUCTION
HML is an efficient mechanism to support effective demand for housing [1-5]. Mortgage
boosts the demand in the housing market, which secures a multiplicative effect: additional
load on production capacities of the construction complex, including design, production of
building materials, construction, as well as the preparation of real estate for sale [6-11]. The
development of the HML market is associated both with the development of the primary
mortgage lending market and with the secondary market. The primary market is generally
described by the interaction of banks issuing housing mortgage loans (HMLs) with the
population showing demand for HMLs [12, 13]. The secondary mortgage lending market is
needed for banks to raise resources, i.e. for funding, through the HML securitization. The
HML securitization is the issuance of securities, such as mortgage bonds, that secure capital
inflows from the stock market to the banking sector. At the same time, if state guarantees are
provided, MBC are usually considered as one of the most reliable types of securities, since
their security is almost constant during the entire security period (their coverage is secured by
a mortgage). At the same time, a reduction in the real incomes may lead to an increase in the
number of low-income borrowers, which requires banks to carefully assess risks when issuing
HMLs.
2. METHODS
The state is a key economic agent with significant opportunities for the housing policy [14,
15, 11]. The Open Joint-Stock Company Agency for Housing Mortgage Lending (AHML)
was established in 1997 for the real estate market incentivization, with 100 % of shares
belonging to the state. The main task of the AHML is to implement the state policy of
increasing the housing affordability for the Russian population. The activities of the Agency
are aimed at creating equal opportunities for getting mortgage loans for all Russian citizens.
The Agency pays special attention to the establishment of the mortgage market in the regions
where the housing and mortgage markets are the least developed.
Institutionally, mortgage support at the federal level is built into the strategic planning
system as a Strategy for the HML development in the Russian Federation through to 2020
[16]. This document is a goal setting document.
The objectives of this Strategy are the following:
• establishment of uniform guidelines for participants in the HML market regarding the
principles, expectations and long-term prospects for this market development;
• identification of the key long-term goals and objectives of the state policy on the HML
development until 2020; and
• identification of priority measures aimed at HML development.
Let us review the HML market on the basis of data from the Bank of Russia and the
AHML that describe the key parameters of this market. Preliminary analysis of the data
indicates that 3 main regional mortgage lending markets can be identified in most cases:
Moscow, the Moscow region and St. Petersburg. Accordingly, the below data on mortgage
lending in most cases contain information on these regions. Data on the Russian Federation in
general are also provided for comparison. Unless otherwise agreed, indicators describing
mortgage lending in monetary terms include both HMLs issued in rubles and HMLs issued in
foreign currency (in ruble equivalent).
Tables 1 and 2 present the nominal volumes of the HML market in Moscow, the Moscow
region, St. Petersburg, and the Russian Federation: Table 1 shows the volume of mortgage
loans issued per year in the territories of these regions and on the scale of the national
economy in general; Table 2 shows the amount of debt (including arrears) on the issued
Ilya LeonidovichKievskiy
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HMLs, which is the cumulative total of the mortgage loans issued with interest payments
(accumulated volume of debt on HML, including interest payments on HMLs).
Table 1. Volume of issued HMLs, mln rub.
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016*
Russia 263,561 556,393 655,808 152,500 380,061 716,944 1,031,992 1,353,926 1,764,126 1,161,663 1,027,137
Moscow 50,324 78,313 95,794 19,664 43,172 90,620 119,756 154,815 180,539 135,183 127,500
Moscow
region
19,438 32,469 46,356 8,425 25,129 52,263 75,519 102,233 152,662 86,974 80,578
St.
Petersburg
17,717 38,840 44,523 6,716 14,945 35,142 51,736 66,106 94,864 67,034 65,036
* January – September
Table 2. Volume of debt on issued HMLs, mln rub.
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 *
Russia 233,898 611,212 1,049,437 1,010,889 1,129,373 1,478,982 1,997,204 2,648,859 3,528,379 3,982,237 4,317,774
Moscow 52,663 107,175 165,534 156,522 163,478 205,202 253,047 311,102 394,050 454,286 478,911
Moscow
region
20,733 44,949 81,812 78,681 92,319 119,644 156,099 204,847 297,978 313,878 342,559
St.
Petersburg
15,902 42,435 69,530 66,394 67,852 81,751 102,031 130,754 181,654 206,296 230,333
* January – September
3. RESULTS
If the relative indicators in terms of the volume of issued HMLs are reviewed, the share of
Moscow corresponded to 12.5 %, the share of the Moscow region corresponded to 7.8 %, and
the share of St. Petersburg corresponded to 6.3 % of the total HMLs issued for the same
period in the Russian Federation, as of the end of Q3 2016. In January – September 2016,
Moscow accounted for the largest share in the structure of the annually issued volume of
mortgage loans, the Moscow region was in the second place, and St. Petersburg was in the
third place. As of the end of Q3 2016, Moscow accounted for 11.1 % of the HML market of
the Russian Federation in terms of total debt (the largest market share of the HML market in
the Russian Federation), the Moscow region accounted for 7.9 % (second place), and St.
Petersburg accounted for 5.3 % (third place).
Data on the volume of HMLs issued per year are presented in Table 3. As can be seen
from Table3, the largest number of mortgage loans in the Russian Federation (34,814) was
issued in the territory of Moscow, according to the data for Q3 2016. The Moscow region is
in the second place for this indicator with 30,642 MHLs. The third place is taken by St.
Petersburg (30,510 MHLs). If relative indicators are reviewed, it can be noted that for the
period from January to September 2016, 5.8 % of the total number of HMLs were issued in
the territory of Moscow, 5.09 % in the Moscow region, and 5.06 % in St. Petersburg.
Table 3. Number of issued HMLs, pcs.
2008 2009 2010 2011 2012 2013 2014 2015 2016*
Russia 349,502 130,085 301,433 523,582 691,724 825,039 1,012,814 699,510 602,403
Moscow 20,030 7,727 13,596 22,988 33,286 41,711 46,443 37,230 34,814
Moscow region 13,937 3,434 10,386 20,493 29,762 39,207 55,599 34,414 30,642
St. Petersburg 14,629 3,228 6,857 15,622 21,869 28,183 41,190 32,214 30,510
* January – September
Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow
Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects
http://www.iaeme.com/IJCIET/index.asp 351 editor@iaeme.com
As such, Moscow is the largest regional HML market in the Russian Federation: 5.8 % of
the total number of HMLs in the Russian Federation for 3 quarters of 2016 were issued in
Moscow, the share of Moscow in value terms of the loans issued during this period was 12.4
%, and its cumulative debt on HMLs for 3 quarters of 2016 corresponded to 11.1 %. This
means that if the anti-crisis policy aimed at supporting effective demand continues, Moscow
needs additional attention as the largest regional HML market. Besides, this market is the
largest and is closely connected with the mortgage and housing markets of the Moscow
region.
4. DISCUSSION
As the share of Moscow declined, the share of debt in a sufficient number of other regions of
the Russian Federation increased, which can be seen as a decrease in the regional
concentration of the HML market and the emergence of new growth points for this market.
At the same time, the following aspects must be noted in the comparison of Moscow, the
Moscow region, and St. Petersburg.
Firstly, Moscow, the Moscow region and St. Petersburg are described by comparable
values by the number of loans issued (absolute and relative indicators).
Secondly, cost indicators – the volume of HMLs issued and the volume of debts on issued
HMLs (absolute and relative) – largely depend on the price characteristics of the housing
stock. Housing prices in Moscow, all other things being equal, are higher than housing prices
in the Moscow region, which, in turn, are higher than those in St. Petersburg.
Thirdly, demographic characteristics of these regions also differ. At the same time, HMLs
are issued without a strict territorial reference to the acquired real estate objects relative to the
region where the HMLs are issued. For example, a Moscow resident can get a HML in a
Moscow or non-Moscow (by registration) bank in the territory of Moscow and buy an
apartment in the Moscow region. Accordingly, a resident of the Moscow region can do the
same, and, on the contrary, get a loan in the territory of the Moscow region to buy property in
Moscow. The same applies to the residents of St. Petersburg and the Leningrad region.
Another significant parameter of the HML market is the ratio of the arrears volume to the
total debt on HMLs (total volume of mortgage loans issued by progressive total with interest
payments). Figures 1-4 show the dynamics of the ratio of the arrears volume to the debt on
HMLs in the Russian Federation in general, Moscow, the Moscow region, and St. Petersburg.
Figure 1. The ratio of the arrears volume to the total debt on HMLs issued in the Russian Federation
[17, 18], %
Ilya LeonidovichKievskiy
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Figure 2. The ratio of the arrears volume to the total debt on HMLs issued in the territory of Moscow
[17, 18], %
Figure 3. The ratio of the arrears volume to the total debt on HMLs issued in the territory of the
Moscow region [17, 18], %
Figure 4. The ratio of the arrears volume to the total debt on HMLs issued in the territory of St.
Petersburg [17, 18], %
According to the data from the Bank of Russia, Moscow (Figure 2) is described by the
highest share of arrears in the Russian Federation. As of the end of Q3 2016, the ratio of the
arrears volume to the total debt in HMLs issued in the territory of Moscow was 4.1 %.
Moscow was followed by the Moscow region – this indicator was 3.3 % (Figure 3). The ratio
of arrears to HMLs issued in St. Petersburg was 1.8 % (Figure 4). For the whole of the
Russian Federation, the value of the indicator was 1.7 % (Figure 1).
The two main reasons for the growth in the share of arrears in total HML debt in 2015
compared to 2014 are the growth of the interest rate and the ruble devaluation, which
increased the total arrears resulting from the arrears in HMLs issued in rubles and HMLs
issued in foreign currency (in ruble equivalent). At the same time, all four figures show an
Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow
Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects
http://www.iaeme.com/IJCIET/index.asp 353 editor@iaeme.com
increase in the interest rate in 2015, which also affected the growth of arrears and their
subsequent decrease in 2016.
Let us consider the dynamics of issuing mortgage loans in foreign currency in the regions
under consideration and in the Russian Federation in general. 17,461 HMLs in foreign
currency were issued in the Russian Federation in 2008, of which 5,865 HMLs in foreign
currency were issued in Moscow, 2,762 HMLs – in the Moscow region, and 1,950 HMLs – in
St. Petersburg. After the financial crisis, in 2009, the number of HMLs issued in foreign
currency fell sharply: a total of 2,081 such loans were issued in the Russian Federation, of
which 791 were issued in Moscow, 312 in the Moscow region, and 177 in St. Petersburg. The
next stage of a significant reduction in the issuance of HMLs in foreign currency coincided
with the beginning of a new crisis – in 2014, only 750 such loans were issued in the Russian
Federation, of which 267 loans were issued in Moscow, 137 loans – in the Moscow region,
and 56 loans – in St. Petersburg. The number of HMLs in foreign currency tremendously
decreased in 2015: 91 such loans were issued in the Russian Federation, of which 51 loans
were issued in Moscow, 25 loans – in the Moscow region, and 5loans – in St. Petersburg. As
of the end of Q3 2016, a total of 28 HMLs in foreign currency were issued in Russia, of
which 20 such loans were issued in Moscow, 3 loans – in the Moscow region, and 2 loans – in
St. Petersburg, which indicates the disappearance of the demand of the population for HMLs
in foreign currency.
The share of HMLs in foreign currency from the total number of HMLs issued in the
Russian Federation was 0.01 % in 2015, in Moscow it was 0.14 %, in the Moscow region –
0.07 %, and in St. Petersburg – 0.02 %. As of the end of Q3 2016, the share of HMLs in
foreign currency from the total number of HMLs issued in the Russian Federation was 0.005
%, in Moscow it was 0.06 %, in the Moscow region – 0.01 %, and in St. Petersburg – 0.007
%. This means that HMLs issued in foreign currency make up thousandths of a percent in the
Russian Federation in general and hundredths of a percent in Moscow and the Moscow region
in the total number of HMLs.
In addition to the fact that HMLs are issued without strict territorial reference to the
acquired real estate objects, it must be borne in mind that real estate can be acquired using
several sources, including own funds. At the same time, situations are possible when high-
income borrowers, despite a significantly higher interest rate, may attract borrowings as
ordinary consumer loans, since no lien is imposed on the acquired property in this case.
Therefore, it is incorrect to completely correlate the volume of mortgage loans issued in the
territory of the Russian Federation or in any region with a certain amount of housing
purchased in the primary and/or secondary real estate markets. At the same time, the potential
volume of housing that can be purchased using the HML funds can be estimated by dividing
the volume of annually issued HMLs by the average price of housing (Table 4).
Table 4. Average price of 1 m2
of housing [18], rub.
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016*
Russia 31,088 44,119 53,253 51,857 53,768 44,816 50,430 52,805 53,931 54,822 54,172
Moscow 81,098 116,901 136,600 147,608 155,189 145,258 150,369 163,471 177,462 183,141 169,383
Moscow
region
33,146 46,442 63,537 64,599 63,008 65,985 72,746 72,329 75,732 78,540 75,712
St.
Petersburg
39,818 63,205 82,266 89,481 81,228 82,730 83,391 91,535 94,115 87,581 91,916
* January – September
Ilya LeonidovichKievskiy
http://www.iaeme.com/IJCIET/index.asp 354 editor@iaeme.com
Figures 5, 6, 7 and 8 demonstrate the dynamics of the potentially possible volume of
housing that can be purchased in the Russian Federation for the annual amount of HMLs, as
well as in the city of Moscow, the territory of the Moscow region and the territory of St.
Petersburg, respectively.
The following trends are clearly visible in Figures 5-8 from 2006 to 2016: until 2008, the
potential amount of housing that could be purchased for the amount of issued HMLs had been
slightly increasing (a decrease in the indicator under consideration can already be noted in the
Russian Federation in general and in St. Petersburg in 2008).
Figure 5. Potentially possible amount of housing that can be purchased in the Russian Federation for
the entire amount of HMLs [17 – 19], thous. sq.m.
Figure 6. Potentially possible amount of housing that can be purchased in Moscow for the entire
amount of HMLs issued in the territory of the city [17-19], thous. sq.m.
Figure 7. Potentially possible amount of housing that can be purchased in the Moscow region for the
entire amount of HMLs issued in its territory [17 – 19], thous. sq.m.
Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow
Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects
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Figure 8. Potentially possible amount of housing that can be purchased in St. Petersburg for the entire
amount of HMLs issued in the territory of the city [17-19], thous. sq.m.
The HML market had collapsed in 2009 but then had begun to recover until the value of
the indicator ultimately reached its ceiling both in the Russian Federation in general and in the
three regional real estate markets under consideration in 2014. At the same time, the observed
growth was smoother in Moscow than in the Moscow region, St. Petersburg and the Russian
Federation in general. After 2014, amid the economic crisis, a new wave of recession was
recorded – quite sharp in the Russian Federation in general and in the Moscow region and
smoother in Moscow and St. Petersburg. At the same time, the potential amount of housing
that can be purchased for HMLs remained at a higher level in all three regional HML markets
and in the Russian Federation in general, compared to the previous peak reached in 2007 for
the Russian Federation and St. Petersburg and in 2008 for Moscow and the Moscow region.
Another aspect related to HML is worth noting. Figure 8 shows the GDP growth rate,
which has become negative since Q1 2015 (decline by 2.8 %). At the same time, a slowdown
in the economy’s decline has been observed since Q1 2016, which, other things being equal,
can improve the prospects for the HML development. At the same time, without sustainable
economic growth and growth of real incomes of the population – the Moscow real estate
market depends on the development of the national economy here as well – HMLs will be
limited to these factors, which requires special anti-crisis measures to incentivize HML.
Figure 9. Dynamics of the Russian GDP [20], % to the corresponding quarter of the previous year
The data in Table 1, where the volumes of issued HMLs were presented, reveal that these
volumes amounted to 94.3 % of 2015 volumes in Moscow for Q3 2016, 92.6 % in the
Moscow region, 97 % in St. Petersburg, and 88.4 % in the Russian Federation in general. As
such, it is likely that the volume of HMLs issued in 2016 should exceed 2015 figures. This is
due to both the slowdown in the economy's decline and the anti-crisis measures to incentivize
HML. In particular, the Government of the Russian Federation adopted Resolution No. 220
Ilya LeonidovichKievskiy
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dated March 13, 2015 "On approval of the Rules for granting subsidies from the federal
budget to Russian credit organizations and the Joint-Stock Company Agency for Housing
Mortgage Lending for compensation of under-received income on issued (acquired) housing
(mortgage) loans", in accordance with which the interest rate subsidies for HML from the
federal budget were introduced in the Russian Federation. This regulation introduced interest
rate subsidies on HMLs up to 13 %. Resolution of the Government of the Russian Federation
No. 225 dated March 20, 2015 "On Amendments to the Rules for granting subsidies from the
federal budget to Russian credit organizations and the Joint-Stock Company Agency for
Housing Mortgage Lending for compensation of under-received income on issued (acquired)
housing (mortgage) loans" adjusted the interest rate subsidies for HML to 12 %.
Further support and promotion of housing mortgage lending will be implemented using
the priority project "Mortgage and rental housing" currently under development [21]. So far,
the charter of the priority project "Mortgage and rental housing" has been approved. A more
active use of the secondary market for HML is proposed through the issuance of MBS with
the AHML guarantee. It is assumed that MBS with the AHML guarantee will provide banks
with equal access to sources of long-term financing of mortgage loans and management tools
for credit risk (by exchange) of mortgage loan portfolios for securities with the AHML
guarantee). Increase in liquidity and decline in credit risk with banks should lower interest
rates.
Given the close relationship between Moscow and the Moscow region, the key parameters
of the housing mortgage market in the Moscow region can be considered. As of the end of Q3
2016, the debt of the Moscow region on HMLs totaled 821.5 bln rub. (19 % of the total
national debt on HMLs). The volume of HMLs in the Moscow region for Q3 2016 amounted
to 208.1 bln rub. (20.2 % of the volume of HMLs issued in the Russian Federation). In total,
according to the results of 3 quarters of 2016, 65,456 HMLs were issued in the Moscow
region (10.9 % of all HMLs issued in the Russian Federation). At the same time, the share of
arrears in HMLs in the Moscow region would be 3.8 %.
The HML is currently the main institutional mechanism for supporting the effective
demand for housing. Mortgage secures additional capacity utilization in the construction
industry and output in other industries due to multiplicative effects, etc., which describes the
economic aspects of HML. Social aspects of mortgage are associated with improving the
living conditions of the population through market and quasi-market instruments.
5. CONCLUSION
Despite the fact that the further HML development will primarily depend on the
macroeconomic situation, the HML market incentivization amid the falling GDP has
stabilized the HML market in Russia in general, as well as in the regional mortgage lending
markets under consideration. At the same time, the growth of the HML market is likely to be
expected in 2016, compared with 2015. The continuation of the state support for HMLs seems
to be quite likely as well and may be extended for 2017 (the interest rate subsidies are
currently valid until March 2017). At the same time, a promising area in the HML market
development is the issuance of MBS with the AHML guarantees, which, all other things being
equal, should secure long-term funding for HMLs.
Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow
Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects
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REFERENCES
[1] Kievskiy, L.V.(ed).Razvitiyegoroda [City development]. Collection of scientific papers. Research
Center "City Development". Moscow: SvR-ARGUS, 2005.
[2] Viktorova, E.D. Perspektivyrazvitiyaipotechnogokreditovaniya[Development prospectsof mortgage
lending].Money and credit, 6,2009,pp.27-30
[3] Eliseeva, T.V. Optimizatsiyanormativovipotechnogokreditovaniya [Optimization of mortgage
lending standards]. St. Petersburg: Law, 2010.
[4] Moiseev, A.K. andCherkovets, M.V. Prognozrazvitiyaipotechnogokreditovaniya v Rossii s
uchetomsotsialno-ekonomicheskikhfaktorov [Forecast of mortgage lending development in Russia
with due account for socioeconomic factors].Problems of forecasting,5,2014, pp. 112-118.
[5] Lukyanov, A.V. Analizrynkaipotechnogokreditovaniya [Analysis of the mortgage lending
market].Money and credit, 8,2010, pp. 47-50.
[6] Abyanov, R.R. andScheglov, V.A.
Kompleksnayaotsenkamultiplikativnykheffektovstroitelnoydeyatelnosti [Comprehensive
assessment of the multiplicative effects in construction].Urban planning,1(29),2014, pp. 52-57.
[7] Levkin, S.I., Kievskiy, L.V. andShirov, A.A.
MultiplikativnyyeeffektystroitelnogokompleksagorodaMoskvy [Multiplicative effects of the
construction complex in Moscow].Industrial and civil construction,3, 2014, pp. 3-9.
[8] Kievskiy, L.V. Multiplikativnyyeeffektystroitelnoydeyatelnosti [Multiplicative effects of
construction].Online journal "Science studies", 3,2014, pp. 104-109.
[9] Kievskiy, L.V., Kievskiy, I.L., Abyanov, R.R. andScheglov, V.A.
VkladstroitelnogokompleksaMoskvyiRossii v ekonomiku[Contribution of the construction
complex of Moscow and Russia to the economy]. Saarbrücken. Germany: LAP LAMBERT
Academic Publishing GmbY&Co.KG, 2015.
[10] Kievskiy, L.V. andAbyanov, R.R. Otsenkamestairolistroitelnogokompleksa v
ekonomikegorodaMoskvy [Assessment of the place and role of the construction complex in the
economy of Moscow]. Construction materials, equipment, technologies of the XXI century, 5(184),
2014, pp. 48-51.
[11] Kievskiy, L.V. andKievsky, I.L. Multiplier effects of the Moscow construction complex.
International Journal of Applied Engineering Research,11(1), 2016 pp. 304-311
[12] Kievskiy, L.V. andKievskaya, R.L. Vliyaniyegradostroitelnykhresheniynarynkinedvizhimosti
[Impact of urban planning solutions on real estate markets].Industrial and civil construction, 6,
2013, pp. 27-31.
[13] Kievskiy, L.V.
andKhorkina,Zh.A.Realizatsiyaprioritetovgradostroitelnoypolitikidlyasbalansirovannogorazvitiya
Moskvy[Implementation of the priorities of urban planning policy for the balanced development of
Moscow].Industrial and civil construction,8, 2013, pp. 54-57.
[14] Kievskiy, L.V.Zhilishchnayareformaichastnyystroitelnyysektor v Rossii[Housing reform and the
private construction sector in Russia].Housing construction,5, 2000, pp. 2-5.
[15] Kievskiy, L.V. andKievskiy, I.L. Opredeleniyeprioritetov v razvitiitransportnogokarkasagoroda
[Determination of priorities in the development of the transport framework of the city]. Industrial
and civil construction, 10,2011, pp. 3-6.
[16] Resolution of the Government of the Russian Federation dated 19.06.2010, No. 1201-r.
[17] Bank of Russia.https://www.cbr.ru/
[18] Calculated according to the Unified interdepartmental information statistical system (UIISS).
https://www.fedstat.ru/
[19] Agency of Housing Mortgage Lending. https://xn--d1aqf.xn--p1ai/en/
[20] Federal State Statistics Service. http://www.gks.ru/
[21] Government of Russia, the charter of the priority project "Mortgage and Rental Housing" (adopted
by the Presidium of the Council under the President of the Russian Federation on Strategic
Development and Priority Projects (Minutes No. 8 dated October 19, 2016))

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MULTIFACTOR ANALYSIS OF READINESS OF THE MARKET OF BUILDING MATERIALS AND MACHINERY FOR THE IMPLEMENTATION OF LARGE-SCALE URBAN PROJECTS OF DISPERSED CONSTRUCTION IN MOSCOW

  • 1. http://www.iaeme.com/IJCIET/index. International Journal of Civil Engineering and Technology (IJCIET) Volume 9, Issue 12, December 201 Available online at http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12 ISSN Print: 0976-6308 and ISSN Online: 0976 ©IAEME Publication ASSESSMENT OF MAJOR DEVELOPMENT OF F INSTRUMENTS IN MOSCO PREPARATION FOR THE OF LARGE CONSTRUCTION PROJECT Research and Development Center "City ABSTRACT Major trends in mortgage lending are analyzed. The dynamics of mortgage loans issued in terms of value and quantity are reviewed. The dynamics of housing mortgage loans (HML) issued in foreign currency are reviewed separately. Moscow, the Moscow region and St. Petersburg are mortgage lending markets. The ratio of the arrears volume to the total debt on mortgage loans is also analyzed, as well as the dynamics of the potential housing volume that can be purchase Russian Federation in general and in the territories of the specified regions. The downward trend in gross domestic product (GDP), described by a slowdown in the fall rates by the end of 2016, is con affecting mortgage lending. The interest rate subsidies are an existing instrument of state support for HML. Keywords: Housing Mortgage Lending, Funding, Securitization, Debt in Housing Mortgage Loans Issued, Arrears Product, Mortgage-Backed Securities (MBC), Multiplicative Effect. Cite this Article: Ilya LeonidovichKievskiy, Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow Used In Preparation For The Implementation of Large International Journal of Civil Engineering and Technology (IJCIET) 348–357. http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12 IJCIET/index.asp 348 editor@iaeme.com International Journal of Civil Engineering and Technology (IJCIET) 2018, pp. 348–357, Article ID: IJCIET_09_12_03 http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12 6308 and ISSN Online: 0976-6316 Scopus Indexed ASSESSMENT OF MAJOR TRENDS IN THE DEVELOPMENT OF FINANCIAL ECONOMIC INSTRUMENTS IN MOSCOW USED IN PREPARATION FOR THE IMPLEMENTATION OF LARGE-SCALE URBAN DISPERSE CONSTRUCTION PROJECTS Ilya LeonidovichKievskiy Research and Development Center "City Development" LLC - 129090 Moscow, Russian Federation Major trends in mortgage lending are analyzed. The dynamics of mortgage loans issued in terms of value and quantity are reviewed. The dynamics of housing mortgage loans (HML) issued in foreign currency are reviewed separately. Moscow, the n and St. Petersburg are presented as the main examples of regional mortgage lending markets. The ratio of the arrears volume to the total debt on mortgage loans is also analyzed, as well as the dynamics of the potential housing volume that can be purchased for the annual amount of housing mortgage loans in the Russian Federation in general and in the territories of the specified regions. The downward trend in gross domestic product (GDP), described by a slowdown in the fall rates by the end of 2016, is considered as one of the main macroeconomic factors affecting mortgage lending. The interest rate subsidies are an existing instrument of Housing Mortgage Lending, Funding, Securitization, Debt in Housing , Arrears in Housing Mortgage Loans Issued, Gross Domestic Backed Securities (MBC), Multiplicative Effect. Ilya LeonidovichKievskiy, Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction P International Journal of Civil Engineering and Technology (IJCIET) 9(1 http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12 editor@iaeme.com 038 http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12 TRENDS IN THE INANCIAL ECONOMIC W USED IN IMPLEMENTATION SCALE URBAN DISPERSED S 129090, Major trends in mortgage lending are analyzed. The dynamics of mortgage loans issued in terms of value and quantity are reviewed. The dynamics of housing mortgage loans (HML) issued in foreign currency are reviewed separately. Moscow, the as the main examples of regional mortgage lending markets. The ratio of the arrears volume to the total debt on mortgage loans is also analyzed, as well as the dynamics of the potential housing d for the annual amount of housing mortgage loans in the Russian Federation in general and in the territories of the specified regions. The downward trend in gross domestic product (GDP), described by a slowdown in the sidered as one of the main macroeconomic factors affecting mortgage lending. The interest rate subsidies are an existing instrument of Housing Mortgage Lending, Funding, Securitization, Debt in Housing n Housing Mortgage Loans Issued, Gross Domestic Ilya LeonidovichKievskiy, Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow Used In Preparation For Scale Urban Dispersed Construction Projects, 9(12), 2018, pp. http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=12
  • 2. Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects http://www.iaeme.com/IJCIET/index.asp 349 editor@iaeme.com 1. INTRODUCTION HML is an efficient mechanism to support effective demand for housing [1-5]. Mortgage boosts the demand in the housing market, which secures a multiplicative effect: additional load on production capacities of the construction complex, including design, production of building materials, construction, as well as the preparation of real estate for sale [6-11]. The development of the HML market is associated both with the development of the primary mortgage lending market and with the secondary market. The primary market is generally described by the interaction of banks issuing housing mortgage loans (HMLs) with the population showing demand for HMLs [12, 13]. The secondary mortgage lending market is needed for banks to raise resources, i.e. for funding, through the HML securitization. The HML securitization is the issuance of securities, such as mortgage bonds, that secure capital inflows from the stock market to the banking sector. At the same time, if state guarantees are provided, MBC are usually considered as one of the most reliable types of securities, since their security is almost constant during the entire security period (their coverage is secured by a mortgage). At the same time, a reduction in the real incomes may lead to an increase in the number of low-income borrowers, which requires banks to carefully assess risks when issuing HMLs. 2. METHODS The state is a key economic agent with significant opportunities for the housing policy [14, 15, 11]. The Open Joint-Stock Company Agency for Housing Mortgage Lending (AHML) was established in 1997 for the real estate market incentivization, with 100 % of shares belonging to the state. The main task of the AHML is to implement the state policy of increasing the housing affordability for the Russian population. The activities of the Agency are aimed at creating equal opportunities for getting mortgage loans for all Russian citizens. The Agency pays special attention to the establishment of the mortgage market in the regions where the housing and mortgage markets are the least developed. Institutionally, mortgage support at the federal level is built into the strategic planning system as a Strategy for the HML development in the Russian Federation through to 2020 [16]. This document is a goal setting document. The objectives of this Strategy are the following: • establishment of uniform guidelines for participants in the HML market regarding the principles, expectations and long-term prospects for this market development; • identification of the key long-term goals and objectives of the state policy on the HML development until 2020; and • identification of priority measures aimed at HML development. Let us review the HML market on the basis of data from the Bank of Russia and the AHML that describe the key parameters of this market. Preliminary analysis of the data indicates that 3 main regional mortgage lending markets can be identified in most cases: Moscow, the Moscow region and St. Petersburg. Accordingly, the below data on mortgage lending in most cases contain information on these regions. Data on the Russian Federation in general are also provided for comparison. Unless otherwise agreed, indicators describing mortgage lending in monetary terms include both HMLs issued in rubles and HMLs issued in foreign currency (in ruble equivalent). Tables 1 and 2 present the nominal volumes of the HML market in Moscow, the Moscow region, St. Petersburg, and the Russian Federation: Table 1 shows the volume of mortgage loans issued per year in the territories of these regions and on the scale of the national economy in general; Table 2 shows the amount of debt (including arrears) on the issued
  • 3. Ilya LeonidovichKievskiy http://www.iaeme.com/IJCIET/index.asp 350 editor@iaeme.com HMLs, which is the cumulative total of the mortgage loans issued with interest payments (accumulated volume of debt on HML, including interest payments on HMLs). Table 1. Volume of issued HMLs, mln rub. 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016* Russia 263,561 556,393 655,808 152,500 380,061 716,944 1,031,992 1,353,926 1,764,126 1,161,663 1,027,137 Moscow 50,324 78,313 95,794 19,664 43,172 90,620 119,756 154,815 180,539 135,183 127,500 Moscow region 19,438 32,469 46,356 8,425 25,129 52,263 75,519 102,233 152,662 86,974 80,578 St. Petersburg 17,717 38,840 44,523 6,716 14,945 35,142 51,736 66,106 94,864 67,034 65,036 * January – September Table 2. Volume of debt on issued HMLs, mln rub. 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 * Russia 233,898 611,212 1,049,437 1,010,889 1,129,373 1,478,982 1,997,204 2,648,859 3,528,379 3,982,237 4,317,774 Moscow 52,663 107,175 165,534 156,522 163,478 205,202 253,047 311,102 394,050 454,286 478,911 Moscow region 20,733 44,949 81,812 78,681 92,319 119,644 156,099 204,847 297,978 313,878 342,559 St. Petersburg 15,902 42,435 69,530 66,394 67,852 81,751 102,031 130,754 181,654 206,296 230,333 * January – September 3. RESULTS If the relative indicators in terms of the volume of issued HMLs are reviewed, the share of Moscow corresponded to 12.5 %, the share of the Moscow region corresponded to 7.8 %, and the share of St. Petersburg corresponded to 6.3 % of the total HMLs issued for the same period in the Russian Federation, as of the end of Q3 2016. In January – September 2016, Moscow accounted for the largest share in the structure of the annually issued volume of mortgage loans, the Moscow region was in the second place, and St. Petersburg was in the third place. As of the end of Q3 2016, Moscow accounted for 11.1 % of the HML market of the Russian Federation in terms of total debt (the largest market share of the HML market in the Russian Federation), the Moscow region accounted for 7.9 % (second place), and St. Petersburg accounted for 5.3 % (third place). Data on the volume of HMLs issued per year are presented in Table 3. As can be seen from Table3, the largest number of mortgage loans in the Russian Federation (34,814) was issued in the territory of Moscow, according to the data for Q3 2016. The Moscow region is in the second place for this indicator with 30,642 MHLs. The third place is taken by St. Petersburg (30,510 MHLs). If relative indicators are reviewed, it can be noted that for the period from January to September 2016, 5.8 % of the total number of HMLs were issued in the territory of Moscow, 5.09 % in the Moscow region, and 5.06 % in St. Petersburg. Table 3. Number of issued HMLs, pcs. 2008 2009 2010 2011 2012 2013 2014 2015 2016* Russia 349,502 130,085 301,433 523,582 691,724 825,039 1,012,814 699,510 602,403 Moscow 20,030 7,727 13,596 22,988 33,286 41,711 46,443 37,230 34,814 Moscow region 13,937 3,434 10,386 20,493 29,762 39,207 55,599 34,414 30,642 St. Petersburg 14,629 3,228 6,857 15,622 21,869 28,183 41,190 32,214 30,510 * January – September
  • 4. Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects http://www.iaeme.com/IJCIET/index.asp 351 editor@iaeme.com As such, Moscow is the largest regional HML market in the Russian Federation: 5.8 % of the total number of HMLs in the Russian Federation for 3 quarters of 2016 were issued in Moscow, the share of Moscow in value terms of the loans issued during this period was 12.4 %, and its cumulative debt on HMLs for 3 quarters of 2016 corresponded to 11.1 %. This means that if the anti-crisis policy aimed at supporting effective demand continues, Moscow needs additional attention as the largest regional HML market. Besides, this market is the largest and is closely connected with the mortgage and housing markets of the Moscow region. 4. DISCUSSION As the share of Moscow declined, the share of debt in a sufficient number of other regions of the Russian Federation increased, which can be seen as a decrease in the regional concentration of the HML market and the emergence of new growth points for this market. At the same time, the following aspects must be noted in the comparison of Moscow, the Moscow region, and St. Petersburg. Firstly, Moscow, the Moscow region and St. Petersburg are described by comparable values by the number of loans issued (absolute and relative indicators). Secondly, cost indicators – the volume of HMLs issued and the volume of debts on issued HMLs (absolute and relative) – largely depend on the price characteristics of the housing stock. Housing prices in Moscow, all other things being equal, are higher than housing prices in the Moscow region, which, in turn, are higher than those in St. Petersburg. Thirdly, demographic characteristics of these regions also differ. At the same time, HMLs are issued without a strict territorial reference to the acquired real estate objects relative to the region where the HMLs are issued. For example, a Moscow resident can get a HML in a Moscow or non-Moscow (by registration) bank in the territory of Moscow and buy an apartment in the Moscow region. Accordingly, a resident of the Moscow region can do the same, and, on the contrary, get a loan in the territory of the Moscow region to buy property in Moscow. The same applies to the residents of St. Petersburg and the Leningrad region. Another significant parameter of the HML market is the ratio of the arrears volume to the total debt on HMLs (total volume of mortgage loans issued by progressive total with interest payments). Figures 1-4 show the dynamics of the ratio of the arrears volume to the debt on HMLs in the Russian Federation in general, Moscow, the Moscow region, and St. Petersburg. Figure 1. The ratio of the arrears volume to the total debt on HMLs issued in the Russian Federation [17, 18], %
  • 5. Ilya LeonidovichKievskiy http://www.iaeme.com/IJCIET/index.asp 352 editor@iaeme.com Figure 2. The ratio of the arrears volume to the total debt on HMLs issued in the territory of Moscow [17, 18], % Figure 3. The ratio of the arrears volume to the total debt on HMLs issued in the territory of the Moscow region [17, 18], % Figure 4. The ratio of the arrears volume to the total debt on HMLs issued in the territory of St. Petersburg [17, 18], % According to the data from the Bank of Russia, Moscow (Figure 2) is described by the highest share of arrears in the Russian Federation. As of the end of Q3 2016, the ratio of the arrears volume to the total debt in HMLs issued in the territory of Moscow was 4.1 %. Moscow was followed by the Moscow region – this indicator was 3.3 % (Figure 3). The ratio of arrears to HMLs issued in St. Petersburg was 1.8 % (Figure 4). For the whole of the Russian Federation, the value of the indicator was 1.7 % (Figure 1). The two main reasons for the growth in the share of arrears in total HML debt in 2015 compared to 2014 are the growth of the interest rate and the ruble devaluation, which increased the total arrears resulting from the arrears in HMLs issued in rubles and HMLs issued in foreign currency (in ruble equivalent). At the same time, all four figures show an
  • 6. Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects http://www.iaeme.com/IJCIET/index.asp 353 editor@iaeme.com increase in the interest rate in 2015, which also affected the growth of arrears and their subsequent decrease in 2016. Let us consider the dynamics of issuing mortgage loans in foreign currency in the regions under consideration and in the Russian Federation in general. 17,461 HMLs in foreign currency were issued in the Russian Federation in 2008, of which 5,865 HMLs in foreign currency were issued in Moscow, 2,762 HMLs – in the Moscow region, and 1,950 HMLs – in St. Petersburg. After the financial crisis, in 2009, the number of HMLs issued in foreign currency fell sharply: a total of 2,081 such loans were issued in the Russian Federation, of which 791 were issued in Moscow, 312 in the Moscow region, and 177 in St. Petersburg. The next stage of a significant reduction in the issuance of HMLs in foreign currency coincided with the beginning of a new crisis – in 2014, only 750 such loans were issued in the Russian Federation, of which 267 loans were issued in Moscow, 137 loans – in the Moscow region, and 56 loans – in St. Petersburg. The number of HMLs in foreign currency tremendously decreased in 2015: 91 such loans were issued in the Russian Federation, of which 51 loans were issued in Moscow, 25 loans – in the Moscow region, and 5loans – in St. Petersburg. As of the end of Q3 2016, a total of 28 HMLs in foreign currency were issued in Russia, of which 20 such loans were issued in Moscow, 3 loans – in the Moscow region, and 2 loans – in St. Petersburg, which indicates the disappearance of the demand of the population for HMLs in foreign currency. The share of HMLs in foreign currency from the total number of HMLs issued in the Russian Federation was 0.01 % in 2015, in Moscow it was 0.14 %, in the Moscow region – 0.07 %, and in St. Petersburg – 0.02 %. As of the end of Q3 2016, the share of HMLs in foreign currency from the total number of HMLs issued in the Russian Federation was 0.005 %, in Moscow it was 0.06 %, in the Moscow region – 0.01 %, and in St. Petersburg – 0.007 %. This means that HMLs issued in foreign currency make up thousandths of a percent in the Russian Federation in general and hundredths of a percent in Moscow and the Moscow region in the total number of HMLs. In addition to the fact that HMLs are issued without strict territorial reference to the acquired real estate objects, it must be borne in mind that real estate can be acquired using several sources, including own funds. At the same time, situations are possible when high- income borrowers, despite a significantly higher interest rate, may attract borrowings as ordinary consumer loans, since no lien is imposed on the acquired property in this case. Therefore, it is incorrect to completely correlate the volume of mortgage loans issued in the territory of the Russian Federation or in any region with a certain amount of housing purchased in the primary and/or secondary real estate markets. At the same time, the potential volume of housing that can be purchased using the HML funds can be estimated by dividing the volume of annually issued HMLs by the average price of housing (Table 4). Table 4. Average price of 1 m2 of housing [18], rub. 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016* Russia 31,088 44,119 53,253 51,857 53,768 44,816 50,430 52,805 53,931 54,822 54,172 Moscow 81,098 116,901 136,600 147,608 155,189 145,258 150,369 163,471 177,462 183,141 169,383 Moscow region 33,146 46,442 63,537 64,599 63,008 65,985 72,746 72,329 75,732 78,540 75,712 St. Petersburg 39,818 63,205 82,266 89,481 81,228 82,730 83,391 91,535 94,115 87,581 91,916 * January – September
  • 7. Ilya LeonidovichKievskiy http://www.iaeme.com/IJCIET/index.asp 354 editor@iaeme.com Figures 5, 6, 7 and 8 demonstrate the dynamics of the potentially possible volume of housing that can be purchased in the Russian Federation for the annual amount of HMLs, as well as in the city of Moscow, the territory of the Moscow region and the territory of St. Petersburg, respectively. The following trends are clearly visible in Figures 5-8 from 2006 to 2016: until 2008, the potential amount of housing that could be purchased for the amount of issued HMLs had been slightly increasing (a decrease in the indicator under consideration can already be noted in the Russian Federation in general and in St. Petersburg in 2008). Figure 5. Potentially possible amount of housing that can be purchased in the Russian Federation for the entire amount of HMLs [17 – 19], thous. sq.m. Figure 6. Potentially possible amount of housing that can be purchased in Moscow for the entire amount of HMLs issued in the territory of the city [17-19], thous. sq.m. Figure 7. Potentially possible amount of housing that can be purchased in the Moscow region for the entire amount of HMLs issued in its territory [17 – 19], thous. sq.m.
  • 8. Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects http://www.iaeme.com/IJCIET/index.asp 355 editor@iaeme.com Figure 8. Potentially possible amount of housing that can be purchased in St. Petersburg for the entire amount of HMLs issued in the territory of the city [17-19], thous. sq.m. The HML market had collapsed in 2009 but then had begun to recover until the value of the indicator ultimately reached its ceiling both in the Russian Federation in general and in the three regional real estate markets under consideration in 2014. At the same time, the observed growth was smoother in Moscow than in the Moscow region, St. Petersburg and the Russian Federation in general. After 2014, amid the economic crisis, a new wave of recession was recorded – quite sharp in the Russian Federation in general and in the Moscow region and smoother in Moscow and St. Petersburg. At the same time, the potential amount of housing that can be purchased for HMLs remained at a higher level in all three regional HML markets and in the Russian Federation in general, compared to the previous peak reached in 2007 for the Russian Federation and St. Petersburg and in 2008 for Moscow and the Moscow region. Another aspect related to HML is worth noting. Figure 8 shows the GDP growth rate, which has become negative since Q1 2015 (decline by 2.8 %). At the same time, a slowdown in the economy’s decline has been observed since Q1 2016, which, other things being equal, can improve the prospects for the HML development. At the same time, without sustainable economic growth and growth of real incomes of the population – the Moscow real estate market depends on the development of the national economy here as well – HMLs will be limited to these factors, which requires special anti-crisis measures to incentivize HML. Figure 9. Dynamics of the Russian GDP [20], % to the corresponding quarter of the previous year The data in Table 1, where the volumes of issued HMLs were presented, reveal that these volumes amounted to 94.3 % of 2015 volumes in Moscow for Q3 2016, 92.6 % in the Moscow region, 97 % in St. Petersburg, and 88.4 % in the Russian Federation in general. As such, it is likely that the volume of HMLs issued in 2016 should exceed 2015 figures. This is due to both the slowdown in the economy's decline and the anti-crisis measures to incentivize HML. In particular, the Government of the Russian Federation adopted Resolution No. 220
  • 9. Ilya LeonidovichKievskiy http://www.iaeme.com/IJCIET/index.asp 356 editor@iaeme.com dated March 13, 2015 "On approval of the Rules for granting subsidies from the federal budget to Russian credit organizations and the Joint-Stock Company Agency for Housing Mortgage Lending for compensation of under-received income on issued (acquired) housing (mortgage) loans", in accordance with which the interest rate subsidies for HML from the federal budget were introduced in the Russian Federation. This regulation introduced interest rate subsidies on HMLs up to 13 %. Resolution of the Government of the Russian Federation No. 225 dated March 20, 2015 "On Amendments to the Rules for granting subsidies from the federal budget to Russian credit organizations and the Joint-Stock Company Agency for Housing Mortgage Lending for compensation of under-received income on issued (acquired) housing (mortgage) loans" adjusted the interest rate subsidies for HML to 12 %. Further support and promotion of housing mortgage lending will be implemented using the priority project "Mortgage and rental housing" currently under development [21]. So far, the charter of the priority project "Mortgage and rental housing" has been approved. A more active use of the secondary market for HML is proposed through the issuance of MBS with the AHML guarantee. It is assumed that MBS with the AHML guarantee will provide banks with equal access to sources of long-term financing of mortgage loans and management tools for credit risk (by exchange) of mortgage loan portfolios for securities with the AHML guarantee). Increase in liquidity and decline in credit risk with banks should lower interest rates. Given the close relationship between Moscow and the Moscow region, the key parameters of the housing mortgage market in the Moscow region can be considered. As of the end of Q3 2016, the debt of the Moscow region on HMLs totaled 821.5 bln rub. (19 % of the total national debt on HMLs). The volume of HMLs in the Moscow region for Q3 2016 amounted to 208.1 bln rub. (20.2 % of the volume of HMLs issued in the Russian Federation). In total, according to the results of 3 quarters of 2016, 65,456 HMLs were issued in the Moscow region (10.9 % of all HMLs issued in the Russian Federation). At the same time, the share of arrears in HMLs in the Moscow region would be 3.8 %. The HML is currently the main institutional mechanism for supporting the effective demand for housing. Mortgage secures additional capacity utilization in the construction industry and output in other industries due to multiplicative effects, etc., which describes the economic aspects of HML. Social aspects of mortgage are associated with improving the living conditions of the population through market and quasi-market instruments. 5. CONCLUSION Despite the fact that the further HML development will primarily depend on the macroeconomic situation, the HML market incentivization amid the falling GDP has stabilized the HML market in Russia in general, as well as in the regional mortgage lending markets under consideration. At the same time, the growth of the HML market is likely to be expected in 2016, compared with 2015. The continuation of the state support for HMLs seems to be quite likely as well and may be extended for 2017 (the interest rate subsidies are currently valid until March 2017). At the same time, a promising area in the HML market development is the issuance of MBS with the AHML guarantees, which, all other things being equal, should secure long-term funding for HMLs.
  • 10. Assessment of Major Trends In The Development of Financial Economic Instruments In Moscow Used In Preparation For The Implementation of Large-Scale Urban Dispersed Construction Projects http://www.iaeme.com/IJCIET/index.asp 357 editor@iaeme.com REFERENCES [1] Kievskiy, L.V.(ed).Razvitiyegoroda [City development]. Collection of scientific papers. Research Center "City Development". Moscow: SvR-ARGUS, 2005. [2] Viktorova, E.D. Perspektivyrazvitiyaipotechnogokreditovaniya[Development prospectsof mortgage lending].Money and credit, 6,2009,pp.27-30 [3] Eliseeva, T.V. Optimizatsiyanormativovipotechnogokreditovaniya [Optimization of mortgage lending standards]. St. Petersburg: Law, 2010. [4] Moiseev, A.K. andCherkovets, M.V. Prognozrazvitiyaipotechnogokreditovaniya v Rossii s uchetomsotsialno-ekonomicheskikhfaktorov [Forecast of mortgage lending development in Russia with due account for socioeconomic factors].Problems of forecasting,5,2014, pp. 112-118. [5] Lukyanov, A.V. Analizrynkaipotechnogokreditovaniya [Analysis of the mortgage lending market].Money and credit, 8,2010, pp. 47-50. [6] Abyanov, R.R. andScheglov, V.A. Kompleksnayaotsenkamultiplikativnykheffektovstroitelnoydeyatelnosti [Comprehensive assessment of the multiplicative effects in construction].Urban planning,1(29),2014, pp. 52-57. [7] Levkin, S.I., Kievskiy, L.V. andShirov, A.A. MultiplikativnyyeeffektystroitelnogokompleksagorodaMoskvy [Multiplicative effects of the construction complex in Moscow].Industrial and civil construction,3, 2014, pp. 3-9. [8] Kievskiy, L.V. Multiplikativnyyeeffektystroitelnoydeyatelnosti [Multiplicative effects of construction].Online journal "Science studies", 3,2014, pp. 104-109. [9] Kievskiy, L.V., Kievskiy, I.L., Abyanov, R.R. andScheglov, V.A. VkladstroitelnogokompleksaMoskvyiRossii v ekonomiku[Contribution of the construction complex of Moscow and Russia to the economy]. Saarbrücken. Germany: LAP LAMBERT Academic Publishing GmbY&Co.KG, 2015. [10] Kievskiy, L.V. andAbyanov, R.R. Otsenkamestairolistroitelnogokompleksa v ekonomikegorodaMoskvy [Assessment of the place and role of the construction complex in the economy of Moscow]. Construction materials, equipment, technologies of the XXI century, 5(184), 2014, pp. 48-51. [11] Kievskiy, L.V. andKievsky, I.L. Multiplier effects of the Moscow construction complex. International Journal of Applied Engineering Research,11(1), 2016 pp. 304-311 [12] Kievskiy, L.V. andKievskaya, R.L. Vliyaniyegradostroitelnykhresheniynarynkinedvizhimosti [Impact of urban planning solutions on real estate markets].Industrial and civil construction, 6, 2013, pp. 27-31. [13] Kievskiy, L.V. andKhorkina,Zh.A.Realizatsiyaprioritetovgradostroitelnoypolitikidlyasbalansirovannogorazvitiya Moskvy[Implementation of the priorities of urban planning policy for the balanced development of Moscow].Industrial and civil construction,8, 2013, pp. 54-57. [14] Kievskiy, L.V.Zhilishchnayareformaichastnyystroitelnyysektor v Rossii[Housing reform and the private construction sector in Russia].Housing construction,5, 2000, pp. 2-5. [15] Kievskiy, L.V. andKievskiy, I.L. Opredeleniyeprioritetov v razvitiitransportnogokarkasagoroda [Determination of priorities in the development of the transport framework of the city]. Industrial and civil construction, 10,2011, pp. 3-6. [16] Resolution of the Government of the Russian Federation dated 19.06.2010, No. 1201-r. [17] Bank of Russia.https://www.cbr.ru/ [18] Calculated according to the Unified interdepartmental information statistical system (UIISS). https://www.fedstat.ru/ [19] Agency of Housing Mortgage Lending. https://xn--d1aqf.xn--p1ai/en/ [20] Federal State Statistics Service. http://www.gks.ru/ [21] Government of Russia, the charter of the priority project "Mortgage and Rental Housing" (adopted by the Presidium of the Council under the President of the Russian Federation on Strategic Development and Priority Projects (Minutes No. 8 dated October 19, 2016))