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The Reward of the : Cost of Capital In India (January, 2018)
Economic growth, measured as GDP, is a function of the interaction between the three factors of production viz. Land, Labour and Capital.
Land includes all natural resources and area where production activities can be conducted. Land needs to be compensated with rent for its use.
Introduction
Labour refers to the aggregate physical and mental effort used by human capital to produce goods and services. Labour needs to be compensated for its effort and time with wages.
Capital is a means to employ land and labour to produce goods and services. Capital needs to be compensated with interest or profits; the residual left after compensating other factors of production.
Production of all goods or services entails some combination of these three factors to interact.
2
Capital is different from money. While money is used to purchase goods and services for consumption, capital is more durable and is used to create wealth through returns generated from investment.
Hence the need to understand “Cost of Capital”.
A company's capital typically includes both Debt and Equity, one must therefore calculate both the Cost of Debt and the Cost of Equity to determine a company's Cost of Capital. More importantly, both cost of debt and equity must be forward looking, and reflect the expectations of risk and return in the future. Hybrid Instruments have characteristics of both debt and equity, therefore the risk and return of the instruments is also expected to remain between that of debt and equity capital. Example - preferred shares, convertible bonds.
There are essentially two ways in which cost of capital can be interpreted:
1. From the perspective of a business: a. cost of raising new financing b. opportunity cost of investing in new projects
2. From the perspective of investors : a. the discount rate to value the business or b. the minimum returns that an investor is willing to receive for investing in a company, based on the
given risk characteristics of the business.
Cost of Capital
Hence, cost of capital can be understood as the minimum rate of return that
providers of capital expect on the funds provided.
3
Cost of Capital: Cost of Equity (KE)
Cost of Equity (KE) can be computed theoretically by using Capital Asset Pricing Model, Arbitrage Pricing Model and Build Up Model
1. Capital Asset Pricing Model (CAPM)
The Cost of Equity is calculated by comparing the investment to other investments (comparable) with similar risk profiles. It is commonly computed using the Capital Asset Pricing Model (CAPM). The CAPM estimates the expected return on a stock:
E(R) = RF + β (RM - RF) + α
RF is the risk free rate corresponding to the investing period horizon
β is a measure of systematic risk, capturing the volatility of a stock in relation to the market
(RM - RF) is the equity risk premium (ERP) of the stock
CAPM states that investors would expect to be compensated for additional risk of investing in the market instead of a risk free asset. This additional compensation would be in the form of the market risk premium which would be further adjusted for inherent risk of the company in relation to the market. Company specific risk perception is quantified in the form of Beta which is then used to adjust the market risk premium.
Here it is appropriate to note that one of the main assumptions of the CAPM is that the investor is only compensated for the “systematic risk”; since all other risks faced by the investee’s business are diversifiable through investment in securities that offset the inherent risks of a particular business.
4
α & β – Alpha & Beta of the Equation
According to the CAPM theory, there are two types of risks — systematic and unsystematic.
Alpha represents unsystematic risk. The level of unsystematic risk of an individual security is dependent on its own unique characteristics. It is independent from market returns and cannot be diversified.
Factors (alpha) responsible for adjustment in discount rate:
Size of the company/project
Stake under consideration
Stage of Development/gestation period
Company specific risk factors
Comfort on Projections
Distressed situation
Beta represents systematic risk. The level of systematic risk of an individual security depends on how correlated it is with the overall market. This risk can be diversified if one invests in a portfolio of securities. β which is arrived at by regressing the historical stock returns with the historical market returns numerically provides the extent to which the stock returns varies from the market returns hence capturing the systematic risk of a stock. Looking at it from the perspective of risk, it states how risky/volatile the stock return has been in relation to the aggregate market.
(RM - RF) - The equity risk premium (ERP) is the additional return that an investor holding a market portfolio (a portfolio of the index components of the same weights) will require for taking on additional systematic risk {since market portfolio is considered to be a well-diversified portfolio hence theoretically (RM - RF) should only represent systematic risk that cannot be diversified.}
5
Cost of Capital: Cost of Equity (KE)
2. Arbitrage Pricing Theory: Arbitrage Pricing Theory is another model to estimate the cost of equity. It is similar to the CAPM as it is a factor sensitivity model. However, unlike the CAPM which postulates that the cost of equity is dependent only on one factor, APT further divides the calculation of the KE into multiple macroeconomic factors that reflect systematic risks (Eg.: interest rates, FX rates, etc.). The APT does not provide any particular set of factors to be considered for the calculation of KE and leaves the factor selection to the analyst.
E(R) = RF + β1R1 + β2R2 + …. + βNRN
- RF is the risk free rate corresponding to the investing period horizon - βX are factor sensitivities of the parameters representing systematic risk. This is arrived at by regressing
historical values of individual parameters over the returns on the stock - RX are the additional returns on account of exposures to each parameter
3. Build Up Model: The build up model calculates the cost of equity by adding incremental premiums to the risk free rate to account for factors such as equity risk, industry risk , business risk and size of company. However, the premiums ascribed to the factors are left to the discretion of the analyst while also allowing flexibility to include additional factors.
E(R) = RF + PE + PI + PB + PS
- RF is the risk free rate corresponding to the investing period horizon - PE is the premium required for investment in a risky security - PI is the premium associated with industry specific risks - PB is the premium associated with business specific risks - PS is the premium associated with company specific risks
6
When companies borrow funds from outside or take debt from financial institutions or other sources the interest paid on that amount is called cost of debt. Since in most cases debt interest is a tax deductible expense, the cost of debt is computed as an after-tax cost to make it comparable with the cost of equity.
KD = Interest *(1 - tax rate)
Calculation of Cost of Debt (KD)
If a company has market traded debt instrument, the KD of the company is relatively easy to compute as it is the Yield To Maturity (YTM) of the traded bond. The YTM of a bond is the return that is generated if the bond is bought today at the market price and held to maturity is a reflection of what lenders would require the firm to pay them as compensation (interest) for funds borrowed as of today. It is the IRR of the bond which equates current price of bond to the present value of remaining cash flows.
Alternatively, when current market price of a company’s debt is not available or is not reliable, a debt rating approach can be used, to calculate the KD. The debt rating approach involves the identification of a bond with similar risk-return characteristics to the bond for which KD is required and using its yield to maturity as an approximate measure of the KD for the selected company.
The factors to compute the interest that lenders (majorly banks) charge to borrowers would be dependent on:
• Marginal cost of funds: costs that bank is incurring to get funds/deposits is calculated on a marginal basis. • Negative carry on account of CRR (Cash Reserve Ratio): cost that bank has to incur while keeping reserves with
RBI – RBI does not compensate with any interest for this CRR. • Operating costs: is the operating expenses incurred by bank. • Tenor premium: denotes that higher interest can be charged from long term loans.
Cost of Capital: Cost of Debt (KD)
7
In order to arrive at the aggregated cost of capital of the firm, the weighted average cost of individual sources of finance is determined with the weights being the proportion of each type of capital used.
The Weighted Average Cost of Capital (WACC – K0) is defined as the weighted average of the cost of various sources of finance, weights being the book value or market values of each source of finance:
K0 = WEKE + WDKD
K0 = Weighted Average Cost of Capital KE = Cost of Equity KD = Cost of Debt including Term Loans WE = Proportion of total capital supplied by total equity WD = Proportion of total capital supplied by debt
The major determinants to the Cost of Capital are:
1. Inflation
2. Government Regulations
3. Liquidity
4. Risk Perception
Cost of Capital: WACC (K0)
Determinants of Cost of Capital
8
High Inflation
Expectation of High Deposit Rates from
marginal savers
Higher Returns on G - Secs (Risk Free
Assets) to provide more incentive
compared to higher Deposit Rates in Banking System
Resultant High Lending Rate and High Kd; Higher Ke due to higher risk free returns
Cumulatively, higher Cost of Capital due to
higher inflation
High inflation can have damaging economic and social consequences and one of them is that it leads to higher cost of capital:
“High inflation may also lead to higher borrowing costs for businesses and people needing loans and mortgages as financial markets protect themselves against rising prices and increase the cost of borrowing on short and longer-term debt. There is also pressure on the government to increase the value of the state pension and unemployment benefits and other welfare payments as the cost of living climbs higher”.
Inflation – Cause & Effects
* Cost of Equity is computed by summing up RF and total equity risk premium.
CPI - http://www.tradingeconomics.com/country-list/inflation-rate RF - http://www.tradingeconomics.com/bonds ERP - www.stern.nyu.edu/~adamodar/pc/datasets/ctrypremJuly17.xls
Determinants of Cost of Capital – I. Inflation
In our research report we have tried to map inflation rate of various countries along with their Risk Free Rate and cost of Equity. In developing nations we observe there is high inflation which is sustained with higher risk free rate and higher cost of equity when compared with developed nations.
-1.00%
4.00%
9.00%
14.00%
19.00%
Country Wise Comparison
Inflation Rate
Risk-free Rate
Cost of Equity (Ke)
9
Determinants of Cost of Capital – II. Government Rules
State wise FDI Equity Inflows for FY 2017 (Amount in INR Cr)
Demand & supply of money (capital) affects the cost of capital. The cost of capital and supply of capital are inversely related. Government regulations are pivotal in deciding the Capital Flows (Supply) in India, resultantly deciding it’s cost; one such tool being Foreign Direct Investment (FDI). More liberal FDI policy, attracts foreign investment
2004-05
US$3.2 billion
2009-10
US$ 25.8 billion
2014-15 #US$ 30.9 billion
2016-17 #US$ 43.5 billion
DIPP’S – FINANCIAL YEAR-WISE FDI EQUITY INFLOWS (# Figures for the year 2014-15 & 2016-17 are provisional subject to reconciliation with RBI)
States having liberal Business and FDI policies have received highest FDI this year as can be see from above representative Map
Source: http://dipp.nic.in/sites/default/files/FDI_FactSheet_January_March2017.pdf ^ Services sector includes Financial, Banking, Insurance, Non-Financial / Business, Outsourcing, R&D, Courier, Tech. Testing and Analysis, Construction includes Development of Townships, Housing, Built-Up Infrastructure, Chemicals Excludes Fertilizers
1,31,980
39,482
14,830
14,300
39
14,767
22,610
1,111
515
3,050
555
50
83
15 69
2
332
0
2
4
6
8
10^ Sectors attracting highest FDI Inflows (Amount in $ Bn)
FY 15 FY 16 FY 17
10
As compared to the previous report, SLR has been reduced by 150 bps to 20%. Also supply of money has increased on account of socio-economic factors like Demonetisation and deflation. SLR is one of the major source for channelling the country's savings into government's deficit financing, crowding out private credit and increasing cost of private credit.
Source: OIR: https://tradingeconomics.com/country-list/interest-rate?continent=g20 10-yr Yield: https://tradingeconomics.com/bonds LR & SLR: RBI Handbook
Statutory Liquidity Ratio (SLR): SLR is the amount, as determined by RBI, that the commercial banks require to maintain in the form of gold or government approved securities(like bonds and shares) before providing credit to the customers.
For further analysis, we have considered long-term government bonds as a proxy for the risk free rate. Above is a comparison of the prevailing yields on 10-Year Government Bonds of India, US, UK, China, Australia, Japan and Eurozone.
The shortest term of borrowing between banks is denoted by the overnight lending rate. The second graph is a snapshot of the prevailing rates of overnight lending for the same set of countries. The rates prevailing in India are significantly higher than any of the other countries compared at both the short- as well as the long-end of the yield curve. Hence, the base on which the cost of capital is built is quite high in India.
Determinants of Cost of Capital – III. Liquidity
-2.00%
0.00%
2.00%
4.00%
6.00%
8.00%
1 2 3 4 5 6 7
6.97%
2.62% 2.38% 1.34%
4.25%
-0.50% 0.05%
10-Year Government Bond Yields
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
Lending Rates SLR Rates
-1.00%
0.00%
1.00%
2.00%
3.00%
4.00%
5.00%
6.00%
6.00%
4.35%
1.50%
0.50% 1.25%
0.00% -1.00%
Overnight Interest Rates
11 11
Risk perception is a major determinant of cost of capital for not only a company but entire country. However, it cannot be quantitatively measured since the perception of risk and the expected additional return is subject to an investor’s risk appetite. Broadly, given an increase in the risk perception of an industry/company, the cost of capital increases for the industry and subsequently the company. As with other cases, this increase in cost of capital is to compensate the investor for the additional risk undertaken.
It is worth noting that the changes in the cost of capital for companies within an industry perceived as risky is not linear, since it also depends on the strengths of the individual company itself. This implies that companies with stronger businesses within a risky industry will experience smaller incremental costs of borrowing in comparison to companies with weaker businesses. In essence, the cost of capital for companies has a direct relation to the perceived riskiness of the industry as well as the business.
Determinants of Cost of Capital – IV. Risk Perception
12
The sample size for our study of Cost of Capital has been deduced by analyzing all the Listed Companies on NSE. Of the 36 sectors, we have selected 18 sectors which represent ~73% of total Market Capitalization; excluding BFSI sector (constituting ~22% of Market Capitalization) from our study due to the different parameters of Debt and Equity being applicable to it (summing up to ~95% of the total Market Capitalization) . We have not considered the other sectors as their impact may not be significant to the total Market Capitalization. The selected sectors are as enlisted below:
Sector-wise Analysis of Cost of Capital in India
Methodology adopted for analysis: The Listed companies are filtered as per sectors enlisted on the adjoining table.
The respective data related to Debt, Interest Costs and Market Capitalisation has been sourced from various Databases
Kd used for analysis is pre tax Kd deduced by dividing Finance Cost and Outstanding Debt
Ke is calculated using CAPM - Beta has been regressed over a period of three years i.e. October 1, 2014 – September 30, 2017. No additional Alpha has been considered.
WACC is calculated using respective Debt and Market Cap for these companies as on September 30, 2017.
The Pie Charts of every sector shows the Total Number of Companies that has been analysed for various Kd, Ke and WACC intervals. E.g. Auto sector Kd pie chart says <7% - 42 implies 42 companies have Kd less than 7%, 14% - 50 implies 50 companies have Kd in the range of 7-14% so on and so forth for all the Pies for Kd, Ke and WACC. The total sample entries are plotted on a normal distribution Bell Curve to show the median Kd, Ke and WACC of the respective sectors
As compared to the previous Research study, we have additionally covered Retail and Trading sector since the relevant significance of these sectors has increased in terms of market capitalization.
Sr No Sectors
1 Automobile & Ancillaries
2 Capital Goods
3 Cement
4 Chemicals
5 Consumer Durables
6 Entertainment
7 FMCG
8 Infrastructure
9 IT
10 Logistics
11 Metals & Mining
12 Oil & Gas
13 Pharmaceuticals
14 Power
15 Realty
16 Retail
17 Telecom
18 Trading
13
▪ Restrictions in various sectors for Foreign Direct investments (FDI) and restrictions on debt investments by ForeignInstitutional Investors (FIIs) causes sectoral differences in the availability of capital and the cost of raising such capital.
▪ Weighted average cost of capital (WACC) is also affected by capital structure choices peculiar to each sector e.g. Asset-heavy sectors like Infrastructure and Realty tend to have more debt in their books.
▪ Sectors with highest Ke are Infrastructure and Trading (17.2% and 16.2% respectively) while Entertainment and FMCGhave the lowest Ke (14.1% and 14.6% respectively).
▪ Median WACC for all listed companies is approximately 12.8%. Cement and Trading have the highest WACC and Power,Infrastructure and Telecom sectors have the lowest WACC. Median Ke and Kd for all sectors analyzed is 15.8% and 9.8%respectively.
Weighted Average Cost of Capital
9.8%
15.8%
12.8%
0.00%
3.00%
6.00%
9.00%
12.00%
15.00%
18.00%
21.00%
Kd Ke WACC
14
Trends in Kd, Ke and WACC
10%
13%
11%
0%
2%
4%
6%
8%
10%
12%
14%
16%
Kd (pre-tax) Ke WACC
• As compared to our previous Cost of Capital Report (refer link below), Pre Tax Kd for some sectors has improved E.g. For Automobile and Ancillaries, it has fallen from 10.7% to 8% and for Oil & Gas, it has fallen from 7.6% to 6.1%. On the flip side, for some sectors it has worsened E.g. For Realty, it has increased from 7.6% to 11.4% and for Power, it has increased from 7.6% to 10.1% due to higher risk perception and delinquencies in these sectors.
• Cost of Equity (Ke) across all the sectors has increased due to multiple factors viz. global economic sentiments, changes in risk return perception, changes in liquidity due to various structural reforms, etc. E.g. For Automobile and Auto Ancillaries, Capital Goods and Consumer Durables, it has increased from 13% to 15.9%.
• Further, WACC for all the sectors has worsened due to increase in equity market returns and fall in G-Sec yields over the period of last 12 months, change in debt-equity mix, etc.
Link for previous Cost of Capital Research Report: http://rbsa.in/archives_of_research_reports/RBSA-Advisors-Cost-of-Capital-in-India.pdf
As per Previous Research Report
15
Automobile & Ancillaries
The median Kd, Ke and WACC of the sector is at 8.0%, 15.9% and 13.9% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 105
42
50
9 4
<7% 14% 21% >21%
40
65
<5% 10% 15% >15%
1 7
63
34
<5% 10% 15% >15%
-
2.00
4.00
0.00% 20.00% 40.00% 60.00% 80.00% 100.00%
Kd
-
5.00
10.00
15.00
20.00
0.00% 5.00% 10.00% 15.00% 20.00% 25.00%
Ke
-
5.00
10.00
15.00
0% 10% 20% 30% 40%
WACC
16
Capital Goods
The median Kd, Ke and WACC of the sector is at 12.6%, 15.9% and 13.5% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 78
15
29 17
17
<7% 14% 21% >21%
26
51
1
<7% 14% 21% >21%
2
41 35
<7% 14% 21% >21%
-
0.20
0.40
0.60
0.80
0.00% 100.00% 200.00% 300.00% 400.00% 500.00%
Kd
-
5.00
10.00
15.00
20.00
0.00% 5.00% 10.00% 15.00% 20.00% 25.00%
Ke
-
5.00
10.00
15.00
0.00% 5.00% 10.00% 15.00% 20.00% 25.00%
WACC
17
Cement
The median Kd, Ke and WACC of the sector is at 9.9%, 15.8% and 14.4% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 34
4
28
2
<7% 14% 21% >21%
13
21
<5% 10% 15% >15%
3
19
12
<5% 10% 15% >15%
-
1.00
2.00
0.00% 50.00% 100.00% 150.00% 200.00% 250.00%
Kd
-
5.00
10.00
15.00
0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00%
Ke
-
10.00
20.00
0% 5% 10% 15% 20% 25%
WACC
18
Chemicals
The median Kd, Ke and WACC of the sector is at 8.4%, 15.7% and 13.4% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 109
44 65
<5% 10% 15% >15%
2 7
70
30
<5% 10% 15% >15%
-
1.00
2.00
0% 50% 100% 150% 200% 250%
Kd
-
5.00
10.00
15.00
20.00
0% 5% 10% 15% 20% 25%
Ke
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
WACC
39
47
12 11
<7% 14% 21% >21%
19
Consumer Durables
The median Kd, Ke and WACC of the sector is at 12.2%, 15.9% and 13.6% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 28
3
10 13
2
<6% 12% 18% >18%
2
17
9
<6% 12% 18% >18%
1 5
19
3
<6% 12% 18% >18%
0.00
5.00
10.00
0% 5% 10% 15% 20% 25% 30%
Kd
0.00
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
Ke
0.00
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
WACC
20
Entertainment
The median Kd, Ke and WACC of the sector is at 11.1%, 14.1% and 12.4% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 53
11
32
7 3
<7% 14% 21% >21%
5
25
23
<5% 10% 15% >15%
3
35
15
<7% 14% 21% >21%
-
0.50
1.00
1.50
2.00
0% 50% 100% 150% 200%
Kd
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
Ke
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
WACC
21
FMCG
The median Kd, Ke and WACC of the sector is at 9.7%, 14.6% and 12.3% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 79
23
31
17 8
<6% 12% 18% >18%
6
35 38
<5% 10% 15% >15%
3 13
50
13
<5% 10% 15% >15%
-
0.50
1.00
1.50
0% 50% 100% 150% 200% 250% 300% 350% 400%
Kd
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
Ke
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
WACC
22
Infrastructure
The median Kd, Ke and WACC of the sector is at 12.2%, 17.2% and 11.7% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 83. Cost of Equity (Ke) for Bharat Road due to negative Beta (-1.64)
1 5
45
32
<6% 12% 18% >18%
8
48
27
<7% 14% 21% >21%
-
2.00
4.00
6.00
0% 10% 20% 30% 40% 50% 60% 70% 80%
Kd
-
5.00
10.00
15.00
-10% -5% 0% 5% 10% 15% 20% 25%
Ke
-
5.00
10.00
15.00
-5% 0% 5% 10% 15% 20%
WACC
17
41
21
4
<7% 14% 21% >21%
23
Information Technology
The median Kd, Ke and WACC of the sector is at 8.9%, 14.6% and 12.8% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 94
35
28
15
16
<6% 12% 18% >18%
1 4
46 43
<5% 10% 15% >15%
5
29
50
10
<6% 12% 18% >18%
-
0.50
1.00
0% 100% 200% 300% 400% 500%
Kd
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
Ke
-
5.00
10.00
0% 5% 10% 15% 20% 25%
WACC
24
Logistics
The median Kd, Ke and WACC of the sector is at 8.7%, 15.4% and 13% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 29
8
19
2
<7% 14% 21% >21%
27
2
<10% 20% 30% >30%
4
20
5
<7% 14% 21% >21%
-
5.00
10.00
15.00
0% 5% 10% 15% 20%
Kd
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
Ke
-
5.00
10.00
15.00
0% 5% 10% 15% 20%
WACC
25
Metals & Mining
The median Kd, Ke and WACC of the sector is at 9%, 15.9% and 11.8% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 96
30
36
21
9
<6% 12% 18% >18%
4
33
59
<5% 10% 15% >15%
6
25
48
17
<5% 10% 15% >15%
-
1.00
2.00
0% 50% 100% 150% 200% 250%
Kd
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25% 30% 35%
Ke
-
5.00
10.00
0% 5% 10% 15% 20% 25% 30% 35%
WACC
26
Oil & Gas
The median Kd, Ke and WACC of the sector is at 6.1%, 15.2% and 12.7% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 22
11 8
2 1
<6% 12% 18% >18%
2
16
4
<6% 12% 18% >18%
1
8
12
1
<6% 12% 18% >18%
-
2.00
4.00
6.00
0% 5% 10% 15% 20% 25% 30% 35% 40%
Kd
-
5.00
10.00
15.00
20.00
0% 5% 10% 15% 20% 25%
Ke
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
WACC
27
Pharmaceuticals
The median Kd, Ke and WACC of the sector is at 8.5%, 14.7% and 12.8% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 94
32
35
14
13
<6% 12% 18% >18%
2 5
42 45
<5% 10% 15% >15%
5 12
53
24
<5% 10% 15% >15%
-
1.00
2.00
0% 50% 100% 150% 200%
Kd
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25% 30% 35%
Ke
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25% 30%
WACC
28
Power
The median Kd, Ke and WACC of the sector is at 10.1%, 14.6% and 9.9% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 25
6
17
1 1
<7% 14% 21% >21%
15
10
<8% 16% 24% >24%
5
19
1
<8% 16% 24% >24%
-
5.00
10.00
0% 5% 10% 15% 20% 25%
Kd
-
5.00
10.00
15.00
0% 5% 10% 15% 20% 25%
Ke
-
5.00
10.00
15.00
0% 5% 10% 15% 20%
WACC
29
Realty
The median Kd, Ke and WACC of the sector is at 11.4%, 15.6% and 12.5% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 49. Cost of Equity (Ke) for Capacite Infra is negative due to negative Beta (-1.61).
14
19
8
8
<7% 14% 21% >21%
1
26 21
1
<8% 16% 24% >24%
4
9
26
10
<5% 10% 15% >15%
-
0.50
1.00
1.50
2.00
0% 20% 40% 60% 80% 100% 120% 140%
Kd
-
5.00
10.00
-6% -1% 4% 9% 14% 19% 24% 29%
Ke
-
5.00
10.00
-5% 0% 5% 10% 15% 20% 25%
WACC
30
Retail
The median Kd, Ke and WACC of the sector is at 11.6%, 16% and 13.9% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 13
2
7 4
<7% 14% 21% >21%
13
<10% 20% 30% >30%
6 7
<7% 14% 21% >21%
-
1.00
2.00
0% 20% 40% 60% 80% 100% 120%
Kd
-
10.00
20.00
30.00
0% 5% 10% 15% 20%
Ke
-
10.00
20.00
0% 5% 10% 15% 20%
WACC
31
Telecom
The median Kd, Ke and WACC of the sector is at 9.5%, 16.1% and 11.8% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 18
3
11
3 1
<7% 14% 21% >21%
17
1
<10% 20% 30% >30%
3
8
6
1
<7% 14% 21% >21%
-
0.50
1.00
0% 50% 100% 150% 200% 250%
Kd
-
10.00
20.00
0% 5% 10% 15% 20% 25%
Ke
-
1.00
2.00
3.00
0% 20% 40% 60% 80% 100%
WACC
32
Trading
The median Kd, Ke and WACC of the sector is at 12.1%, 16.2% and 14.3% respectively; with maximum number of respondents falling under the normal distribution; Total number of Companies = 27
8
9
3
7
<7% 14% 21% >21%
26
1
<10% 20% 30% >30%
1
12 14
<7% 14% 21% >21%
-
0.20
0.40
0.60
0.00% 100.00% 200.00% 300.00% 400.00% 500.00% 600.00%
Kd
-
5.00
10.00
15.00
20.00
0.00% 5.00% 10.00% 15.00% 20.00% 25.00%
Ke
-
10.00
20.00
0.00% 5.00% 10.00% 15.00% 20.00% 25.00%
WACC
33
Contact Us
Research Analysts:
Management:
Rajeev R. Shah | Managing Director & CEO +91 79 4050 6070
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Gautam Mirchandani | Director +91 22 6130 6000
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