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Capital Driven Real Estate & its
        Consequences

          By Liases Foras
It is a capital driven market


REALTY IS FACING STRUCTURAL PROBLEM
Capital pushes the prices,  Prices pushes the land cost  Requirement of the
capital pushes the construction cost;
Price pushes consumers away  Investors with surplus money are roped in 
Stuck up investors default  Results in construction delays
Capital fails to generate returns

VICIOUS CIRCLE OF THE CAPITAL
Inflow of capital (FDI) in housing sector


                  16,000                 FDI Inflow in Housing Sector (Rs Crore)
                                                                                           14,027
                  14,000
                                                                             12,621
                  12,000

                  10,000
                                                              8,749
       Rs Crore




                   8,000

                   6,000                                                                                   5,600


                   4,000
                                              2,121                                                                         2,043
                   2,000
                               171
                      0
                           FY 2006 (Apr - FY 2007 (Apr - FY 2008 (Apr - FY 2009 (Apr - FY 2010 (Apr - FY 2011 (Apr - 2012(till Sept)
                               Mar)           Mar)           Mar)           Mar)           Mar)           Mar)

                                                                                                            Source - DIPP
Capital pushes the prices


      Price and cost of flats in MMR increased @22% CAGR since the infusion of capital



            12000                                                 Price (Rs / psf)                                                                10,021
                                                                                                                     8,870           9,235
            10000                                      8,124                                                 7,742
                                               7,962                                                 7,131                                   9,716
             8000                                              6,179 5,637                   6,028
                                  5,326                                      5,354                                           8,442
             6000         3,013            5,488
             4000 2,690                                                              5,775
             2000
                0




               120        Cost of Flat (Rs Lac)                                                                                                   104
                                                 93                                                                                   93     98
               100                                      89                                                            87     86
                                                                76                                            77
                80                        59                          64      60      64      62      65
                                    58
                60
                     27     31
                40
                20
                 0
Price & Affordability Mapping




                                Interest adjusted Affordability Index                     Inflation adjusted Price Index       Speculative
                                                                                                                               market
      450
                         Unfair and Speculative Market                                                                                       387
      400                                                                                                                          369
                                                                                                                345          354
                                                                                                                       326
      350                         302                                                                   297
                                                       291                          Correction Phase
      300                                                                                         275
                                                             247                           235




                                                                                                                                              271
      250                                                          223
                          201                                            205        208
                                   Risk Spread
                                                 171

      200




                                                                               75
             Under Value Market
      150    100 112
      100
                   118    144     136                  120         133   130        125   127    132    137     135    125   115             116
       50    100                                             109                                                                   112
        0




            The widening gap between the prices and affordability is pointing towards the speculative
            market practices. Even if the interest rates comes down to 9% level, still the prices needs to
            undergo correction to the extend of 33% to attain the efficiencies of June 2009 .



                                                                                                                                              6
High prices push consumers away


                                           Yearly Sales in MMR
                70
     Millions


                                                                         Figures in Mn sqft
                                          60.60
                60

                50                                          47.84

                40

                30                                                             26.59

                20       16.58

                10

                 0
                     Dec'07- Dec'08   Jan'09- Dec'09    Jan'10- Dec'10    Jan'11- Sep'11
Investors with surplus money are roped in


                             Investors participation as % total of absorption
      60%
                                                                                                 52%
      50%             45%
                                                                        43%
      40%

      30%
                                               22%
      20%

      10%

       0%
                     2008                     2009                      2010                     2011


        Most of the stock is being picked up by investors, within the city, Boisar, Panvel, Gurgaon, Noida…
Stuck up investors default  Construction delays

   31% of projects launched in past 12 months have already witnessed deferred possession dates
   compared to their earlier made commitments

                                      Deferred by   Deferred by                 % of projects with
                                      less than 6      6 -12      Deferred by        deferred
     Cities             No Delay        months       months        1 -2 year     possession date
     Hyderabad            44              21             5             3               40%
     Bangalore            110             41            19             9               39%
     MMR                  308             76            60            40               36%
     NCR                  217             30            55            10               30%
     Pune                 297             63            31            15               27%
     Chennai              171             13            23             5               19%

     Grand Total         1147            244            193           82               31%
Funds are exiting at 1%, 2% and 3% IRR. Some of them are losing even their
principal

CAPITAL FAILS TO GENERATE RETURNS
Price rise hits sales – gap between promise and performance



                                   Input (Rs psf on saleable area)                          Result (Rs Crore)


                                                Const-
                         Selling     Sales                 Land       Equity                                    Duration   CAGR
                                                ruction                         NPV   ROE   IRR      PBT
                          Price     Velocity               Cost      Rs Crore                                   (months)   Return
                                                  cost


   Fair Market           7,000      2.75%       1,894      1,325       13       17    50%   66%      42           42        39%


   Promised to P/E       10,000     2.75%       2,642      2,050       20       27    50%   70%      64           42        37%


   Performance           10,000     1.00%       2,642      2,050       20        1    16%   23%      55           106       12%




       In order to accommodate the PE investor

        Selling Prices are increased by 43%

                 Land prices increase accordingly by 55%

                       Mark up in equity requirement of Rs 8 Crore
Missing dimension of valuation is hurting the most
                                                                                  Line of optimum velocity
                                              Price      Sales Velocity
                                                                                                             MMR Market
   12000                                                                                                                                    4.50%
                           3.92%                                  3.86%
                                                                                                                                            4.00%
   10000
                                                                          3.24%                                                             3.50%
                   3.10%                                                                                                     9,716 10,021
    8000                                                                                                             9,235                  3.00%
                                                                                  2.55%             8,870
           2.51%                   2.52%                                                                     8,442
                                           7,962 8,124                                 7,658                               2.50%
    6000                                                                         7,131       2.04%
                                                   6,179                   6,028 2.33%2.18%        1.71%                   2.00%
                                                                                                         1.57%       1.55%
                           5,326 5,488                   5,637 5,354 5,775                                     1.39%
    4000                               1.19%                                                                               1.50%
                                             0.87% 0.86% 1.43%
                                                                                                                           1.00%
    2000   2,690 3,013                                              1.55% velocity clearly implies 64 months gestation                      0.50%

       0                                                                                                                                    0.00%




           With the increase in the prices, velocity drops
           Slow sales result in delayed construction and also impact the returns of PE investor
           Consumer is losing, PE is losing, then who is gaining?
1. Has this capital created stock – constructed floor space?
2. Has it created affordable housing?

BIG QUESTIONS
Construction floors space has decreased


                                      Increamental Construction
                120
                                FY 2010 ( Apr'09- Mar'10)   FY 2011 ( Apr'10- Mar'11)
                                98
                100
                                     85
                 80
     Mn. Sqft




                      58
                 60
                                                    45
                 40        35                                               34
                                               28           26 24
                                                                                 21
                 20                                                                     18
                                                                                             13


                  0
                       NCR      MMR             Pune        Banglore         Hyd        Chennai
Premium Prices create Premium Housing
Inventories targeting high-end investors

                                                                      Distribution of Supply in MMR
                                          Upto 25Lac         25Lac-50Lac         50Lac - 1Cr     1Cr - 2Cr     Morethan 2Cr     Price
                                100%                                                                                                    12,000
                                        9%     8%      9%       10%        11%
                                                                                  15%      16%
                                90%                                                              22%     20%   22%     22%
                                               11%     9%                                                                     24%
                                       13%                      10%        10%                                                          10,000
                                80%                                               12%
                                                                                           15%
                                                       22%                                       15%     15%
                                70%            23%              21%                                            17%     18%
                                                                           22%                                                18%       8,000
       Distribution of Supply




                                       25%
                                                                                  22%
                                60%                                                        20%
                                                                                                 20%     23%




                                                                                                                                                 Price
                                50%                                                                                                     6,000
                                                                                                               26%     26%
                                                       35%                                                                    27%
                                                                32%        30%
                                40%            35%
                                       31%                                        27%      25%
                                                                                                                                        4,000
                                30%                                                              27%
                                                                                                         27%
                                                                                                               23%     24%
                                20%                                                                                           22%
                                                                                                                                        2,000
                                                       26%      26%        27%    24%      24%
                                10%    21%     23%
                                                                                                 17%     14%   11%     10%    9%
                                 0%                                                                                                     0
                                       Nov 08 Mar 09 Jun 09 Sep 09 Dec 09 Mar 10 Jun 10 Sep 10 Dec 10 Mar 11 Jun 11 Sep 11
The nodal agencies meant to act as regulators, in practise were scaling up the
land prices

MIS-ACTS
The high price land deals were responsible for spurt in prices. Later controversial
FSI policies were framed to turn projects viable
It may be good for a few but for the city this cycle is creating urban imbalance
LEAVING THE CITY PRICES LURCHING AT UNAFFORDABLE LEVELS
Chronology of Events

                                                       Inventory          Sales         Price
                   400
                                                                                                        Prices again start to increase, as liquidity
                                                                                                        condition relaxed due to bank
                   350                Kohinoor Mill                                                     restructuring and funds availability
                                      Deal @Rs
                                                                     Drying up of funds, brought back
                                      10,000 FSI and
                                                                     focus on consumers ;
                   300                DLF deal of                                                                                             Prices touch all time high of Rs
                                                                     result in 30% price correction
                                      Bombay Textile                                                                                          10,021.
                                      Mill @Rs 7,000                                                                                           23% higher than previous peak,
                   250                FSI cost                                                                                                locations show no significance,
   Index Figures




                     Supply stalled                                                                                                           price in Wadala, Chembur,
                     due to TDR                                                                                                               Andheri & Borviali Same
                   200                                                                                   Inventory also increases with
                     corridor,                           Increasing supply
                                                                                                         focus on luxury product
                     environmental                       with retarding sales,
                     issues              Introduction of results into inventory                                                                          Only 23 out of 1600
                   150                   FDI             built-up                                                                                        projects selling; avg
                                         Results in                                                                                                      sales in remaining
                                         price increase                           Good sales                                                             projects is 3,000 sqft
                                                                                                                              Sales reduce by 55%
                   100                   by 40% CAGR                              volumes recorded
                                                                                                                              from Jun 09 high           per quarter


                    50

                     0
Inference




     •   Developers justify the escalating prices to increasing land cost and construction
         cost.

     •   With increased land productivity (FSI), the cost does not come down..

     •   With the induced capital, production is less

     •   The Funds are failing to generate return

     •   Problems of housing has only aggravated, Slums have increased 55% to now 70%

     •   Is this what we mean with our housing policy
Market:
   Driven by capital
   Catering only to investors
   Struggling due to inefficient policies

THE CRUX OF THE PROBLEM
Reforms Required




     •   Private Equity capital should be restricted to capital intensive assets such as
         commercial, hospitality etc

     •   Residential development work on bookings and the sales proceed can take care of
         entire development of the project. The capital is only creating unaffordability.
Lesser benefits to needy and more to the investors




       •   Income tax exemption for an enduser, the first property buyer is limited to
           1,50,000 on home loan interest whereas to the investors who is buying
           second, third.. Property, entire interest amount is exempted provided he
           rents his property.

       •   All the affordable housing schemes are plagued with investors, you have
           empty buildings while the needy living on the road and resorting to slums.

       •   While we are trying to emulate China in terms of growth, we should also
           learn from their lessons
Recent steps taken by China to curb investor activity



     •   Down payments for second homes increased to 60% from 50%

     •   Second home interest rates at no less than 110% of the benchmark rates

     •   Regional property purchase policies to be formulated strictly and local residents
         with two homes to be banned from further purchase

     •   Transaction and additional tax to be levied in cities with overheated prices

     •   Lending for third or more home purchases restricted

     •   Local government asked to set price targets on new properties based on regional
         disposable incomes
Last but not the least




      Regulatory and policies also need to be accountable.
THANK YOU




            26
About Us

Liases Foras initiated in 1998, is a brainchild of Mr Pankaj Kapoor, and is completely a “non-brokerage” real
estate research firm. What makes it stand out among the various other firms is its works in the real estate
industry, more specifically in the field of valuation, and future forecasting models. The scientific research based
approach adopted by the company stems from its developing an organised database for the real-estate
industry. The data and trends provided by the company has been an eye-opener for various financial firms,
government agencies and developers.

Some of our clients include HDFC LTD, Aixs Bank, Standard Chartered Bank, L&T, India Reits, Birla Sunlife, TCG
Real Estate, Essar Goup, Urban Infrastructure, Sun Apollo, University of Miami (USA), Maharashtra Chamber of
Housing Industry (MCHI), Hiranandani Constructions, K. Raheja Universal, Kalpataru Construction among
others.

Liases Foras is engaged in:

•   Data Services:
     – Providing quarterly updated data on real estate projects across six cities in India
     – Quarterly market trends through Ressex.com and presentations
•   Advisory Services:
     – Best Use Analysis
     – Valuation & Pricing Analysis
     – Feasibility Studies
     – Real Estate Projects Rating                                                                          27

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Capital Driven Real Estate Market And Its Impact

  • 1. Capital Driven Real Estate & its Consequences By Liases Foras
  • 2. It is a capital driven market REALTY IS FACING STRUCTURAL PROBLEM
  • 3. Capital pushes the prices,  Prices pushes the land cost  Requirement of the capital pushes the construction cost; Price pushes consumers away  Investors with surplus money are roped in  Stuck up investors default  Results in construction delays Capital fails to generate returns VICIOUS CIRCLE OF THE CAPITAL
  • 4. Inflow of capital (FDI) in housing sector 16,000 FDI Inflow in Housing Sector (Rs Crore) 14,027 14,000 12,621 12,000 10,000 8,749 Rs Crore 8,000 6,000 5,600 4,000 2,121 2,043 2,000 171 0 FY 2006 (Apr - FY 2007 (Apr - FY 2008 (Apr - FY 2009 (Apr - FY 2010 (Apr - FY 2011 (Apr - 2012(till Sept) Mar) Mar) Mar) Mar) Mar) Mar) Source - DIPP
  • 5. Capital pushes the prices Price and cost of flats in MMR increased @22% CAGR since the infusion of capital 12000 Price (Rs / psf) 10,021 8,870 9,235 10000 8,124 7,742 7,962 7,131 9,716 8000 6,179 5,637 6,028 5,326 5,354 8,442 6000 3,013 5,488 4000 2,690 5,775 2000 0 120 Cost of Flat (Rs Lac) 104 93 93 98 100 89 87 86 76 77 80 59 64 60 64 62 65 58 60 27 31 40 20 0
  • 6. Price & Affordability Mapping Interest adjusted Affordability Index Inflation adjusted Price Index Speculative market 450 Unfair and Speculative Market 387 400 369 345 354 326 350 302 297 291 Correction Phase 300 275 247 235 271 250 223 201 205 208 Risk Spread 171 200 75 Under Value Market 150 100 112 100 118 144 136 120 133 130 125 127 132 137 135 125 115 116 50 100 109 112 0 The widening gap between the prices and affordability is pointing towards the speculative market practices. Even if the interest rates comes down to 9% level, still the prices needs to undergo correction to the extend of 33% to attain the efficiencies of June 2009 . 6
  • 7. High prices push consumers away Yearly Sales in MMR 70 Millions Figures in Mn sqft 60.60 60 50 47.84 40 30 26.59 20 16.58 10 0 Dec'07- Dec'08 Jan'09- Dec'09 Jan'10- Dec'10 Jan'11- Sep'11
  • 8. Investors with surplus money are roped in Investors participation as % total of absorption 60% 52% 50% 45% 43% 40% 30% 22% 20% 10% 0% 2008 2009 2010 2011 Most of the stock is being picked up by investors, within the city, Boisar, Panvel, Gurgaon, Noida…
  • 9. Stuck up investors default  Construction delays 31% of projects launched in past 12 months have already witnessed deferred possession dates compared to their earlier made commitments Deferred by Deferred by % of projects with less than 6 6 -12 Deferred by deferred Cities No Delay months months 1 -2 year possession date Hyderabad 44 21 5 3 40% Bangalore 110 41 19 9 39% MMR 308 76 60 40 36% NCR 217 30 55 10 30% Pune 297 63 31 15 27% Chennai 171 13 23 5 19% Grand Total 1147 244 193 82 31%
  • 10. Funds are exiting at 1%, 2% and 3% IRR. Some of them are losing even their principal CAPITAL FAILS TO GENERATE RETURNS
  • 11. Price rise hits sales – gap between promise and performance Input (Rs psf on saleable area) Result (Rs Crore) Const- Selling Sales Land Equity Duration CAGR ruction NPV ROE IRR PBT Price Velocity Cost Rs Crore (months) Return cost Fair Market 7,000 2.75% 1,894 1,325 13 17 50% 66% 42 42 39% Promised to P/E 10,000 2.75% 2,642 2,050 20 27 50% 70% 64 42 37% Performance 10,000 1.00% 2,642 2,050 20 1 16% 23% 55 106 12% In order to accommodate the PE investor Selling Prices are increased by 43% Land prices increase accordingly by 55% Mark up in equity requirement of Rs 8 Crore
  • 12. Missing dimension of valuation is hurting the most Line of optimum velocity Price Sales Velocity MMR Market 12000 4.50% 3.92% 3.86% 4.00% 10000 3.24% 3.50% 3.10% 9,716 10,021 8000 9,235 3.00% 2.55% 8,870 2.51% 2.52% 8,442 7,962 8,124 7,658 2.50% 6000 7,131 2.04% 6,179 6,028 2.33%2.18% 1.71% 2.00% 1.57% 1.55% 5,326 5,488 5,637 5,354 5,775 1.39% 4000 1.19% 1.50% 0.87% 0.86% 1.43% 1.00% 2000 2,690 3,013 1.55% velocity clearly implies 64 months gestation 0.50% 0 0.00% With the increase in the prices, velocity drops Slow sales result in delayed construction and also impact the returns of PE investor Consumer is losing, PE is losing, then who is gaining?
  • 13. 1. Has this capital created stock – constructed floor space? 2. Has it created affordable housing? BIG QUESTIONS
  • 14. Construction floors space has decreased Increamental Construction 120 FY 2010 ( Apr'09- Mar'10) FY 2011 ( Apr'10- Mar'11) 98 100 85 80 Mn. Sqft 58 60 45 40 35 34 28 26 24 21 20 18 13 0 NCR MMR Pune Banglore Hyd Chennai
  • 15. Premium Prices create Premium Housing Inventories targeting high-end investors Distribution of Supply in MMR Upto 25Lac 25Lac-50Lac 50Lac - 1Cr 1Cr - 2Cr Morethan 2Cr Price 100% 12,000 9% 8% 9% 10% 11% 15% 16% 90% 22% 20% 22% 22% 11% 9% 24% 13% 10% 10% 10,000 80% 12% 15% 22% 15% 15% 70% 23% 21% 17% 18% 22% 18% 8,000 Distribution of Supply 25% 22% 60% 20% 20% 23% Price 50% 6,000 26% 26% 35% 27% 32% 30% 40% 35% 31% 27% 25% 4,000 30% 27% 27% 23% 24% 20% 22% 2,000 26% 26% 27% 24% 24% 10% 21% 23% 17% 14% 11% 10% 9% 0% 0 Nov 08 Mar 09 Jun 09 Sep 09 Dec 09 Mar 10 Jun 10 Sep 10 Dec 10 Mar 11 Jun 11 Sep 11
  • 16. The nodal agencies meant to act as regulators, in practise were scaling up the land prices MIS-ACTS
  • 17. The high price land deals were responsible for spurt in prices. Later controversial FSI policies were framed to turn projects viable It may be good for a few but for the city this cycle is creating urban imbalance LEAVING THE CITY PRICES LURCHING AT UNAFFORDABLE LEVELS
  • 18. Chronology of Events Inventory Sales Price 400 Prices again start to increase, as liquidity condition relaxed due to bank 350 Kohinoor Mill restructuring and funds availability Deal @Rs Drying up of funds, brought back 10,000 FSI and focus on consumers ; 300 DLF deal of Prices touch all time high of Rs result in 30% price correction Bombay Textile 10,021. Mill @Rs 7,000 23% higher than previous peak, 250 FSI cost locations show no significance, Index Figures Supply stalled price in Wadala, Chembur, due to TDR Andheri & Borviali Same 200 Inventory also increases with corridor, Increasing supply focus on luxury product environmental with retarding sales, issues Introduction of results into inventory Only 23 out of 1600 150 FDI built-up projects selling; avg Results in sales in remaining price increase Good sales projects is 3,000 sqft Sales reduce by 55% 100 by 40% CAGR volumes recorded from Jun 09 high per quarter 50 0
  • 19. Inference • Developers justify the escalating prices to increasing land cost and construction cost. • With increased land productivity (FSI), the cost does not come down.. • With the induced capital, production is less • The Funds are failing to generate return • Problems of housing has only aggravated, Slums have increased 55% to now 70% • Is this what we mean with our housing policy
  • 20. Market: Driven by capital Catering only to investors Struggling due to inefficient policies THE CRUX OF THE PROBLEM
  • 21. Reforms Required • Private Equity capital should be restricted to capital intensive assets such as commercial, hospitality etc • Residential development work on bookings and the sales proceed can take care of entire development of the project. The capital is only creating unaffordability.
  • 22. Lesser benefits to needy and more to the investors • Income tax exemption for an enduser, the first property buyer is limited to 1,50,000 on home loan interest whereas to the investors who is buying second, third.. Property, entire interest amount is exempted provided he rents his property. • All the affordable housing schemes are plagued with investors, you have empty buildings while the needy living on the road and resorting to slums. • While we are trying to emulate China in terms of growth, we should also learn from their lessons
  • 23. Recent steps taken by China to curb investor activity • Down payments for second homes increased to 60% from 50% • Second home interest rates at no less than 110% of the benchmark rates • Regional property purchase policies to be formulated strictly and local residents with two homes to be banned from further purchase • Transaction and additional tax to be levied in cities with overheated prices • Lending for third or more home purchases restricted • Local government asked to set price targets on new properties based on regional disposable incomes
  • 24. Last but not the least Regulatory and policies also need to be accountable.
  • 25. THANK YOU 26
  • 26. About Us Liases Foras initiated in 1998, is a brainchild of Mr Pankaj Kapoor, and is completely a “non-brokerage” real estate research firm. What makes it stand out among the various other firms is its works in the real estate industry, more specifically in the field of valuation, and future forecasting models. The scientific research based approach adopted by the company stems from its developing an organised database for the real-estate industry. The data and trends provided by the company has been an eye-opener for various financial firms, government agencies and developers. Some of our clients include HDFC LTD, Aixs Bank, Standard Chartered Bank, L&T, India Reits, Birla Sunlife, TCG Real Estate, Essar Goup, Urban Infrastructure, Sun Apollo, University of Miami (USA), Maharashtra Chamber of Housing Industry (MCHI), Hiranandani Constructions, K. Raheja Universal, Kalpataru Construction among others. Liases Foras is engaged in: • Data Services: – Providing quarterly updated data on real estate projects across six cities in India – Quarterly market trends through Ressex.com and presentations • Advisory Services: – Best Use Analysis – Valuation & Pricing Analysis – Feasibility Studies – Real Estate Projects Rating 27