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Return and risk of portfolio with probability
Shijin T P (12351047)
Suchil V (12351035)
Sankalp Sam Mathews (12351005)
contents
 INTRODUCTION

 THEORETICAL BACKGROUND
 ANALYSIS
 FINDINGS
 CONCLUSION
RESEARCH PROBLEM
 Always getting the probability estimated within the

Question??
 But how to arrive at the probability?
OBJECTIVE OF STUDY
 To understand the prediction of future security return
 To analyse the risk and return of individual securities
 To analyse the risk and return of portfolio
STUDY TOOLS
Regression
Ex ante return
Standard deviation
 Unsystematic risk
 Systematic risk (beta)

Portfolio return
Covariance
Portfolio risk
STUDY VARIABLES
 Closing price of various stocks from NSE
 Yahoo finance
 Closing value of Nifty
RESEARCH METHODOLOGY
 Secondary data :- stock prices from Yahoo finance and

NSE India.
 Predicting the future return and risk of share using
regression and fundamental analysis.
 Portfolio construction by considering the estimated
return and risk of securities.
The securities chosen
Industry

Company

Cement

ACC Ltd
Ultratech

Textile

Raymond
Grasim

Pharmaceutical

Ranbaxy
Dr. Reddy’s laboratories

Banking

Axis Bank
ICICI Bank

FMCG

Colgate Palmolive
Procter & Gamble
Limitations of the study
 Study based on past four years data
 The period was just after the financial crisis. So effects

of it was felt during this period. So data is slightly
biased negatively.
 Study based on 10 securities
 The 10 securities were taken randomly
 Probability assumption is subjective
•Investment is a sacrifice of current money or other resources for

future benefits.
•It is a planned decision to put money in financial assets with a riskreturn trade off.
•Numerous avenues of investment are available today.
Bank account
Long term government bond
Equity shares
Provident fund
Real estate
Other form
•Key aspects are time and risk
Why invest?
 Income
 Capital appreciation
 Tax advantages
 Hedge against inflation

 Preparation towards personal pension plan
Investment

Return

Risk
Return
 Return is the primary motivating force that drives

investment. It represents the reward for undertaking
investment.

Portfolio return is the expected return of the
security contained in the portfolio. It is determined on
the basis of proportion of the securities in portfolio.
Types of return
Ex Post Returns
 Return calculations done ‘after-the-fact,’ in order to
analyze what rate of return was earned.

Ex Ante Returns
 Return calculations may be done ‘before-the-fact,’ in
which case, assumptions must be made about the
future
Estimating Expected Returns
n

Expected Return (ER)

(ri
i 1

Where:
ER = the expected return on an investment
Ri = the estimated return in scenario i
Probi = the probability of state i occurring

Probi )
Portfolio return
 The Expected Return on a Portfolio is simply the

weighted average of the returns of the individual assets
that make up the portfolio.

n

E Rp

( wi
i

1

ER )
i
Risk
 Risk refers to the possibility that the actual outcome of

an investment will differ from its expected outcome
 Risk is defined as measurable possibility of loss on an
investment.
Types of risk

Systematic
risk

Interest
rate risk

Absolute risk

Unsystematic
risk

Purchasing
power risk

Business risk

Financial risk

Operational
risk
Measuring Risk
Ex ante Standard Deviation
n

Ex ante

(Probi ) (ri

ERi ) 2

i 1

Where:
ER = the expected return on an investment
Ri = the estimated return in state i
Probi = the probability of state i occurring
Portfolio Risk
2
p

= (wA)2

2
A

+ (wB)2

2
B

+ 2wAwB

Where,
wA =Weight of security A
wB = Weight of security B
2 =Variance of security A
A
2 = Variance of security B
B
A,B =Covariance between A and B

A,B
How to manage risk in
investment??
Risk and Return
Risk and return are the two most important
attributes of an investment.
Research has shown that the two are linked
in the capital markets and that
generally, higher returns can only be
achieved by taking on greater risk.
Risk isn’t just the potential loss of return, it
is the potential loss of the entire
investment itself (loss of both principal
and interest).

Retur
n%

Risk
Premium

R
F

Real Return
Expected Inflation Rate

Consequently, taking on additional risk in
search of higher returns is a decision that
should not be taking lightly.

Ris
k
Probability
 Probability is a measure or estimation of likelihood of

occurrence of an event. Probabilities are given a value
between 0 and 1.
 The higher the degree of probability, the more likely the
event is to happen, or, in a longer series of samples, the
greater the number of times such event is expected to
happen.
Investment decisions are based on future events .
Future is uncertain . To deal with uncertainty
probability is used .
Contents
 Predicting various possible states of economy most

likely to occur and their probability of it occurring.
 Estimating return and risk of individual securities
 Construction of portfolio using Sharpe’s model
 Estimating return and risk of portfolios
Positives for the economy
Negatives for the economy
Positive signs from the Indian
Economy
 Good monsoon so good agricultural output likely
 High investment in infrastructure likely.
 Effects of recession slowly receding.
 Exports rising.
Negative signs from the Indian
economy
 GDP growth down from 8.3% in 2008-09 to 3.99% in

2012-13
 Current Account Deficit gone up from $8bn in 2007 to
$ 90 bn
 But foreign exchange reserves comes down from $300
bn to $275 bn. It can cover now only 3 times the CAD
against the 37.5 times in 2007.
 Inflation at alarming rates.
Negative signs(contd)
 Rupee depreciation and volatility
 Fast reemerging US economy. Interest rates going up

and so attracts investors to US. DOUBLE BLOW TO
INDIAN RUPEE.
 $170 billion in short term debt to pay.
 Political confusion
What rating agencies says?
 S&P: BBB- “negative outlook”
 Moody’s: “stable”.

Above 6% growth predicted next year.
 Fitch: “stable”.
5% growth predicted next year.
Growth predictions
 IMF:

3.8% in this year. 5.1% in 2014.
 World Bank expects India to grow by 4.7% this fiscal.
 Moody’s: Above 6% in 2014
 Fitch: 5% in next fiscal.
Various states of economy
State

Definition

Probability

1

Effects of recession continues

35%

2

Economy limping to normalcy

35%

3

Economy getting worse

20%

4

High growth

5%

5

Economy getting into recession

5%
Prediction of future price
 We use regression of past 4 years to predict the future

price of 1 year.
 The predicted values using regression are:Company

Return

ACC

32.34%

Ultratech

23.06%

Raymond

55.53%

Grasim

17.69%

Axis Bank

12.98%

ICICI

13.61%

P&G

11.73%

Colgate Palmolive

28.88%

Dr. Reddy's lab

-1.37%

Ranbaxy

14.54%
Prediction of future price(contd)
 Based upon the regression derived value, we derive one

year return.
 Based upon the regression derived return (arrived
above), we make changes based on the industry
analysis as shown in following slides.
Cement Industry
 India to invest heavily in infrastructure.
 Good news for cement industry.
 5% Upward estimate
Textile Industry
 Indian Textile Ministry estimates the size of textile

output in the country to expand.
 CAB forecasts record output of cotton despite area
under cultivation coming down.
 Positive output.
 5% upward estimate.
FMCG Industry
 Good and even monsoon.
 Good agricultural output means more money with

rural folk.
 Positive impact
 7% Upward estimate
Banking Industry
 12 new foreign banks to enter India.
 RBI to come out with measures to encourage foreign

banks to convert into wholly owned subsidiaries
(WOS) that provides near national treatment. It
intends to provide level playing field with domestic
banks.
 A blow to domestic banks.
 Negative outlook to them.
 Downward estimate by 10%.
Pharmaceutical companies
 Dr. Reddy’s Laboratories
 Sales in India, Russia and CIS nations increased by

42%.
 Revenues rose up by 16.5%.
 An upward estimate of 5%.
Pharmaceutical companies(contd)
 Ranbaxy:
 In May 2013 the US fined the company US$500 million

after it was found guilty of misrepresenting clinical generic
drug data and selling adulterated drugs to the United
States.
 Sep 2013: Human hair and unhygienic preparations.
Banned from using Mohali facility.
 Poor oversight and inadequate testing and maintenance of
drugs manufactured at its facilities in Paonta Sahib and
Dewas, India. Compensation paid is $350million.
 Downward estimate of 10%.
The new returns are:-(note that this is also the return for the 1st
state of economy i.e., if effects of recession continues(but after
considering industrial analysis)
Company

Revised Return

ACC

33.96%

Ultratech

24.21%

Raymond

58.30%

Grasim

18.57%

Axis Bank

11.68%

ICICI

12.25%

P&G

12.55%

Colgate Palmolive

30.90%

Dr. Reddy's lab

-1.30%

Ranbaxy

13.09%
For other states of economy, returns near to it (either decrease or
increase based on the state of economy is given). An example for
ACC is given here.
ACC
State

Probability

32.34%

1

35%

33.96%

2

35%

35.65%

3

20%

25.47%

4

5%

42.45%

5

5%

22.07%
n

Expecte Return (ER)
d

( ri Probi )
i 1

Where:
ER = the expected return on an investment
Ri = the estimated return in scenario i
Probi = the probability of state i occurring
calculation
Expected risk
n

Ex ante

(Probi ) (ri

ERi ) 2

i 1

Where:
ER = the expected return on an investment
Ri = the estimated return in state i
Probi = the probability of state i occurring
The calculation for ACC is given
here..
ACC
Probability

state

Expected Return
Return

Expected Return

Ri-E( R )

Standard
Deviation

Variance

1

0.35

33.96%

11.88%

1.27%

0.0000568

2

0.35

35.65%

12.48%

2.97%

0.0003090

3

0.2

25.47%

5.09%

-7.22%

0.0010414

4

0.05

42.45%

2.12%

9.76%

0.0004765

5

0.05

22.07%

1.10%

-10.61%

0.0005630

32.68%

0.0024466

4.95%
Sharpe model
 Step1 :calculate excess return to beta ratio of each security.
 Step 2:Review and rank the excess return to beta ratio in the

order from higher to lowest.
 Step 3:Rearrange the data with securities in order to rank
determine in step 2
 Step 4:determine the cut off point by applying the following
formula for each security.
 Step 5 :select the securities to be included in the

portfolio by comparing excess return to beta ratio and
determine cut off point for each security
If excess return to beta ratio is greater than
cut-off rate calculated all such securities should be
included
 Step 6:Determine over all cut-off rate (c*)by selecting
the cut-off point of last securities among them
securities which are included in the portfolio
 Step 7:Determine the weight or proportion of funds

to be invested in each selected securities of the
optimum portfolio by applying the following formula

Where,

calculation
The weights calculated are:Company

Weight

Raymond

37.66%

Axis Bank

62.34%
Expected return of portfolio
n

ERp

( wi ERi )
i 1

Portfolio return
Expected risk of portfolio
2
p

= (wA)2

A,B

=

2
A

+ (wB)2

2
B

+ 2wAwB

A,B

pi(RAi - E[RA])(RBi - E[RB])
Findings
Raymond
Axis Bank
ACC
ICICI
Colgate Palmolive
Grasim
Ultratech
P&G
Dr. Reddy's lab
Ranbaxy

Risk
Expected Return
56.12%
11.25%
32.68%
11.79%
29.74%
17.88%
23.30%
12.08%
-1.35%
12.60%

8.49%
1.70%
4.95%
1.78%
4.50%
2.71%
3.53%
1.83%
0.19%
1.91%
Findings(continued)
Securities

Raymond
Axis Bank

Weight

37.66%
62.34%
Findings(continued)
Portfolio Return
Portfolio Risk

28.14%
4.26%
Conclusion
 Past data as well as fundamental analysis helps us in

predicting the future value of a security, thus enabling
us to predict the return available with the security.
 It also helps us in constructing a portfolio wherein our
predicted values may be used to calculate the portfolio
risk and return.

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Return and risk of portfolio with probability

  • 1. Return and risk of portfolio with probability Shijin T P (12351047) Suchil V (12351035) Sankalp Sam Mathews (12351005)
  • 2. contents  INTRODUCTION  THEORETICAL BACKGROUND  ANALYSIS  FINDINGS  CONCLUSION
  • 3.
  • 4. RESEARCH PROBLEM  Always getting the probability estimated within the Question??  But how to arrive at the probability?
  • 5. OBJECTIVE OF STUDY  To understand the prediction of future security return  To analyse the risk and return of individual securities  To analyse the risk and return of portfolio
  • 6. STUDY TOOLS Regression Ex ante return Standard deviation  Unsystematic risk  Systematic risk (beta) Portfolio return Covariance Portfolio risk
  • 7. STUDY VARIABLES  Closing price of various stocks from NSE  Yahoo finance  Closing value of Nifty
  • 8. RESEARCH METHODOLOGY  Secondary data :- stock prices from Yahoo finance and NSE India.  Predicting the future return and risk of share using regression and fundamental analysis.  Portfolio construction by considering the estimated return and risk of securities.
  • 9. The securities chosen Industry Company Cement ACC Ltd Ultratech Textile Raymond Grasim Pharmaceutical Ranbaxy Dr. Reddy’s laboratories Banking Axis Bank ICICI Bank FMCG Colgate Palmolive Procter & Gamble
  • 10. Limitations of the study  Study based on past four years data  The period was just after the financial crisis. So effects of it was felt during this period. So data is slightly biased negatively.  Study based on 10 securities  The 10 securities were taken randomly  Probability assumption is subjective
  • 11. •Investment is a sacrifice of current money or other resources for future benefits. •It is a planned decision to put money in financial assets with a riskreturn trade off. •Numerous avenues of investment are available today. Bank account Long term government bond Equity shares Provident fund Real estate Other form •Key aspects are time and risk
  • 12. Why invest?  Income  Capital appreciation  Tax advantages  Hedge against inflation  Preparation towards personal pension plan
  • 14. Return  Return is the primary motivating force that drives investment. It represents the reward for undertaking investment.  Portfolio return is the expected return of the security contained in the portfolio. It is determined on the basis of proportion of the securities in portfolio.
  • 15. Types of return Ex Post Returns  Return calculations done ‘after-the-fact,’ in order to analyze what rate of return was earned. Ex Ante Returns  Return calculations may be done ‘before-the-fact,’ in which case, assumptions must be made about the future
  • 16. Estimating Expected Returns n Expected Return (ER) (ri i 1 Where: ER = the expected return on an investment Ri = the estimated return in scenario i Probi = the probability of state i occurring Probi )
  • 17. Portfolio return  The Expected Return on a Portfolio is simply the weighted average of the returns of the individual assets that make up the portfolio. n E Rp ( wi i 1 ER ) i
  • 18. Risk  Risk refers to the possibility that the actual outcome of an investment will differ from its expected outcome  Risk is defined as measurable possibility of loss on an investment.
  • 19. Types of risk Systematic risk Interest rate risk Absolute risk Unsystematic risk Purchasing power risk Business risk Financial risk Operational risk
  • 20. Measuring Risk Ex ante Standard Deviation n Ex ante (Probi ) (ri ERi ) 2 i 1 Where: ER = the expected return on an investment Ri = the estimated return in state i Probi = the probability of state i occurring
  • 21. Portfolio Risk 2 p = (wA)2 2 A + (wB)2 2 B + 2wAwB Where, wA =Weight of security A wB = Weight of security B 2 =Variance of security A A 2 = Variance of security B B A,B =Covariance between A and B A,B
  • 22. How to manage risk in investment??
  • 23. Risk and Return Risk and return are the two most important attributes of an investment. Research has shown that the two are linked in the capital markets and that generally, higher returns can only be achieved by taking on greater risk. Risk isn’t just the potential loss of return, it is the potential loss of the entire investment itself (loss of both principal and interest). Retur n% Risk Premium R F Real Return Expected Inflation Rate Consequently, taking on additional risk in search of higher returns is a decision that should not be taking lightly. Ris k
  • 24. Probability  Probability is a measure or estimation of likelihood of occurrence of an event. Probabilities are given a value between 0 and 1.  The higher the degree of probability, the more likely the event is to happen, or, in a longer series of samples, the greater the number of times such event is expected to happen. Investment decisions are based on future events . Future is uncertain . To deal with uncertainty probability is used .
  • 25.
  • 26. Contents  Predicting various possible states of economy most likely to occur and their probability of it occurring.  Estimating return and risk of individual securities  Construction of portfolio using Sharpe’s model  Estimating return and risk of portfolios
  • 27. Positives for the economy Negatives for the economy
  • 28. Positive signs from the Indian Economy  Good monsoon so good agricultural output likely  High investment in infrastructure likely.  Effects of recession slowly receding.  Exports rising.
  • 29. Negative signs from the Indian economy  GDP growth down from 8.3% in 2008-09 to 3.99% in 2012-13  Current Account Deficit gone up from $8bn in 2007 to $ 90 bn  But foreign exchange reserves comes down from $300 bn to $275 bn. It can cover now only 3 times the CAD against the 37.5 times in 2007.  Inflation at alarming rates.
  • 30. Negative signs(contd)  Rupee depreciation and volatility  Fast reemerging US economy. Interest rates going up and so attracts investors to US. DOUBLE BLOW TO INDIAN RUPEE.  $170 billion in short term debt to pay.  Political confusion
  • 31. What rating agencies says?  S&P: BBB- “negative outlook”  Moody’s: “stable”. Above 6% growth predicted next year.  Fitch: “stable”. 5% growth predicted next year.
  • 32. Growth predictions  IMF: 3.8% in this year. 5.1% in 2014.  World Bank expects India to grow by 4.7% this fiscal.  Moody’s: Above 6% in 2014  Fitch: 5% in next fiscal.
  • 33. Various states of economy State Definition Probability 1 Effects of recession continues 35% 2 Economy limping to normalcy 35% 3 Economy getting worse 20% 4 High growth 5% 5 Economy getting into recession 5%
  • 34. Prediction of future price  We use regression of past 4 years to predict the future price of 1 year.  The predicted values using regression are:Company Return ACC 32.34% Ultratech 23.06% Raymond 55.53% Grasim 17.69% Axis Bank 12.98% ICICI 13.61% P&G 11.73% Colgate Palmolive 28.88% Dr. Reddy's lab -1.37% Ranbaxy 14.54%
  • 35. Prediction of future price(contd)  Based upon the regression derived value, we derive one year return.  Based upon the regression derived return (arrived above), we make changes based on the industry analysis as shown in following slides.
  • 36. Cement Industry  India to invest heavily in infrastructure.  Good news for cement industry.  5% Upward estimate
  • 37. Textile Industry  Indian Textile Ministry estimates the size of textile output in the country to expand.  CAB forecasts record output of cotton despite area under cultivation coming down.  Positive output.  5% upward estimate.
  • 38. FMCG Industry  Good and even monsoon.  Good agricultural output means more money with rural folk.  Positive impact  7% Upward estimate
  • 39. Banking Industry  12 new foreign banks to enter India.  RBI to come out with measures to encourage foreign banks to convert into wholly owned subsidiaries (WOS) that provides near national treatment. It intends to provide level playing field with domestic banks.  A blow to domestic banks.  Negative outlook to them.  Downward estimate by 10%.
  • 40. Pharmaceutical companies  Dr. Reddy’s Laboratories  Sales in India, Russia and CIS nations increased by 42%.  Revenues rose up by 16.5%.  An upward estimate of 5%.
  • 41. Pharmaceutical companies(contd)  Ranbaxy:  In May 2013 the US fined the company US$500 million after it was found guilty of misrepresenting clinical generic drug data and selling adulterated drugs to the United States.  Sep 2013: Human hair and unhygienic preparations. Banned from using Mohali facility.  Poor oversight and inadequate testing and maintenance of drugs manufactured at its facilities in Paonta Sahib and Dewas, India. Compensation paid is $350million.  Downward estimate of 10%.
  • 42. The new returns are:-(note that this is also the return for the 1st state of economy i.e., if effects of recession continues(but after considering industrial analysis) Company Revised Return ACC 33.96% Ultratech 24.21% Raymond 58.30% Grasim 18.57% Axis Bank 11.68% ICICI 12.25% P&G 12.55% Colgate Palmolive 30.90% Dr. Reddy's lab -1.30% Ranbaxy 13.09%
  • 43. For other states of economy, returns near to it (either decrease or increase based on the state of economy is given). An example for ACC is given here. ACC State Probability 32.34% 1 35% 33.96% 2 35% 35.65% 3 20% 25.47% 4 5% 42.45% 5 5% 22.07%
  • 44. n Expecte Return (ER) d ( ri Probi ) i 1 Where: ER = the expected return on an investment Ri = the estimated return in scenario i Probi = the probability of state i occurring calculation
  • 45. Expected risk n Ex ante (Probi ) (ri ERi ) 2 i 1 Where: ER = the expected return on an investment Ri = the estimated return in state i Probi = the probability of state i occurring
  • 46. The calculation for ACC is given here.. ACC Probability state Expected Return Return Expected Return Ri-E( R ) Standard Deviation Variance 1 0.35 33.96% 11.88% 1.27% 0.0000568 2 0.35 35.65% 12.48% 2.97% 0.0003090 3 0.2 25.47% 5.09% -7.22% 0.0010414 4 0.05 42.45% 2.12% 9.76% 0.0004765 5 0.05 22.07% 1.10% -10.61% 0.0005630 32.68% 0.0024466 4.95%
  • 47. Sharpe model  Step1 :calculate excess return to beta ratio of each security.  Step 2:Review and rank the excess return to beta ratio in the order from higher to lowest.  Step 3:Rearrange the data with securities in order to rank determine in step 2  Step 4:determine the cut off point by applying the following formula for each security.
  • 48.  Step 5 :select the securities to be included in the portfolio by comparing excess return to beta ratio and determine cut off point for each security If excess return to beta ratio is greater than cut-off rate calculated all such securities should be included  Step 6:Determine over all cut-off rate (c*)by selecting the cut-off point of last securities among them securities which are included in the portfolio
  • 49.  Step 7:Determine the weight or proportion of funds to be invested in each selected securities of the optimum portfolio by applying the following formula Where, calculation
  • 50. The weights calculated are:Company Weight Raymond 37.66% Axis Bank 62.34%
  • 51. Expected return of portfolio n ERp ( wi ERi ) i 1 Portfolio return
  • 52. Expected risk of portfolio 2 p = (wA)2 A,B = 2 A + (wB)2 2 B + 2wAwB A,B pi(RAi - E[RA])(RBi - E[RB])
  • 53. Findings Raymond Axis Bank ACC ICICI Colgate Palmolive Grasim Ultratech P&G Dr. Reddy's lab Ranbaxy Risk Expected Return 56.12% 11.25% 32.68% 11.79% 29.74% 17.88% 23.30% 12.08% -1.35% 12.60% 8.49% 1.70% 4.95% 1.78% 4.50% 2.71% 3.53% 1.83% 0.19% 1.91%
  • 56. Conclusion  Past data as well as fundamental analysis helps us in predicting the future value of a security, thus enabling us to predict the return available with the security.  It also helps us in constructing a portfolio wherein our predicted values may be used to calculate the portfolio risk and return.