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The project relates to a thorough Study On Risk & Return Analysis Of Selected Securities India Dated April 2018.
The report is provided as:
A STUDY ON RISK & RETURN ANALYSIS OF SELECTED
SECURITIES IN INDIA
Dr. P. Subramanyam 1, Dr. Nalla Bala Kalyan 2
1 Associate Professor and HOD, Annamacharya Institute of Technology
& Sciences, Rajampet, Kadapa, India
2 Assistant Professor, Department of Management Studies, Sri
Venkateswra College of
Engineering, Karakambadi Road, Tirupati-517507, India
Abstract:
The main objective of the study is to give investors a basic idea
of investing into the mutual funds and encourage them to invest in
those areas where they can maximize the return on their capital.
The research provided an interesting insight into awareness about
the mutual funds, risk taking abilities of investors and investment
options preferred etc. The Indian Capital has been increasing
tremendously during the last few years. With reforms of economy,
reforms of investing policy, reforms of public sector and reforms
of financial sector, the economy has been opened up and many
developments have been taking place in the Indian money market and
Capital market. In order to help the small investors, mutual fund
industry has come to occupy an important place. This study helps us
to understand how the companies diversify themselves in different
sectors and in different companies to maximize the returns and to
minimize the risks involved in it.
Keywords: India; Risk & Return; Securities; Stock.
Cite This Article: Dr. P. Subramanyam, and Dr. Nalla Bala
Kalyan. (2018). “A STUDY ON RISK
& RETURN ANALYSIS OF SELECTED SECURITIES IN INDIA.”
International Journal of
Engineering Technologies and Management Research, 5(4), 79-86.
DOI:
10.5281/zenodo.1244735.
1. Introduction
Security Analysis is the analysis of tradable financial instruments called Securities. These can be classified into Debt securities, Equities, or some hybrid of the two. Investing involves risk of loss of principal and is more concerned on the return of investment. This total risk measured by standard deviation, can be divided into two parts: Unsystematic Risk and Systematic Risk. Unsystematic Risk is also called as diversifiable risk. Systematic Risk may be called as non- diversifiable risk. Unsystematic Risk or Market Risk can be measured by Beta. The Security Analysis relationship is a fundamental concept not only in financial analysis, but also in every aspect of life. If decisions are to lead to benefit maximization, it is necessary that individuals/institutions consider the combined influence on expected (future) return or benefit as well as on risk/cost. The requirement that expected return/benefit be commensurate with risk/cost is known as the "risk/return trade-off" in finance.
1.1. Security Analysis
Investors have different motives for investing. Leaving aside a
few who love the power and prestige of holding a major share or a
minor share in the company, the majority of the investors have one
of the following motives:
Regular income either in the form of dividend or interest
Capital gains or capital appreciation
Hedge against inflation, a positive real rate of return
Safety of funds and regularity of payment of interest and
principal
Liquidity and marketability in the sense that investor
can convert his investments into cash or liquidity and back again
into investments when cash is not needed
Security Analysis involves an examination of expected return and accompanying risks. The first three motives of income, capital appreciation and a positive hedge against inflation refers to the expected return. The last two motives of investor lead to the risks involved in the investments. These risks are due to uncertainty of returns, regularity of returns, safety of funds, marketability or lack of it, etc. Investors generally desire to have the maximum return possible, as they like returns, but they dislike risk, and the extent of risk varies from investor to investor. But the return depends on the extent of risk that the investor takes. Investments are made based on security analysis and decisions involved are what securities to be bought or sold and the extent of proportion of funds to be invested in each.
1.2. Stock market
The stock market is simply a term for the overall market or industry that is concerned with buying and selling company’s stock, both private and publicly traded securities. The stock market does many things. It helps to set prices of stocks. The more a stock is traded on the market and the more in demand the stock, the higher is its value. Having a stock market that is interconnected with stock markets around the world helps traders and investors to see how specific stocks are doing. The stock market is mainly present to create money. Through the market, investors - both companies and individuals - can buy stocks, which effectively make them own a small part of a company. If the company prospers, investors are rewarded with dividends and profits. Companies, by becoming public and offering stocks to the public, can raise money and improve their profile through business expansions which can help them make great profit.
2. Scope of the Study
The analysis is focused on ten companies
The study is merely for academic purpose
Study restricted to a smaller sample size because of lack of time
and resources
The recommendations made may not be a perfect
prediction of the future as technical analysis is not an absolutely
accurate practice
The all portfolio consists of risky assets there no risk-free
assets.
Risky assets consist of equity shares and whereas
risk-free assets consist of investments in the saving bank account,
deposits, treasury bills, bonds equity etc.
The holding period for risky assets was for one
month period i.e. shares were assumed to be purchased at the first
day and sold at the second consecutive day and average return for
one month is considered.
An equal no of shares i.e. I (one) share of each
script is assumed to be purchased from the secondary market.
3. Objectives of the Study
The main objective of the study is to know the performance of
equities of infrastructure sector
1) To study the return and risk assessments of equities
2) To study the co-efficient of variation of equities
3) To suggest the investors how to invest, when to invest in
equities
4) To measure the risks of selected securities with the help of
tools and techniques
4. Research Methodology
Data Analysis: The collected data is sorted out and analyzed to
prepare the final report. The tools and techniques used in the
analysis are
1) RISK=√∑D2/(n-1)
2) Return =close price-previous price/previous price*100
3) Co-efficient of variation=Risk/Return
4) Difference = Return-Average
5) D2 =Difference*Difference
5. Data Analysis & Interpretation
Table 1: A Statement Showing Risk and Return of GMRINFRA
Symbol Series Date Prev.
Close
Open
Price
Close
Price
Ret. Avg. Diff. D2
GMRINFRA EQ 1-Feb-17 21.6 21.6 22.65 -77.35 -78.235 0.885
0.783225
GMRINFRA EQ 2-Feb-17 22.65 22.7 22.6 -77.4 -78.235 0.835
0.697225
GMRINFRA EQ 3-Feb-17 22.6 22.6 22 -78 -78.235 0.235 0.055225
GMRINFRA EQ 6-Feb-17 22 21.6 21.5 -78.5 -78.235 -0.265
0.070225
GMRINFRA EQ 7-Feb-17 21.5 21.45 22.15 -77.85 -78.235 0.385
0.148225
GMRINFRA EQ 8-Feb-17 22.15 22 22 -78 -78.235 0.235 0.055225
GMRINFRA EQ 9-Feb-17 22 21.55 21.1 -78.9 -78.235 -0.665
0.442225
GMRINFRA EQ 10-Feb-17 21.1 21.25 21.2 -78.8 -78.235 -0.565
0.319225
GMRINFRA EQ 13-Feb-17 21.2 21.3 21.25 -78.75 -78.235 -0.515
0.265225
GMRINFRA EQ 14-Feb-17 21.25 21 21.4 -78.6 -78.235 -0.365
0.133225
GMRINFRA EQ 15-Feb-17 21.4 21.3 21.55 -78.45 -78.235 -0.215
0.046225
GMRINFRA EQ 16-Feb-17 21.55 21.55 22.25 -77.75 -78.235 0.485
0.235225
GMRINFRA EQ 17-Feb-17 22.25 22.5 21.85 -78.15 -78.235 0.085
0.007225
GMRINFRA EQ 20-Feb-17 21.85 22 22.4 -77.6 -78.235 0.635
0.403225
GMRINFRA EQ 21-Feb-17 22.4 22.4 22.3 -77.7 -78.235 0.535
0.286225
GMRINFRA EQ 22-Feb-17 22.3 22.3 22.25 -77.75 -78.235 0.485
0.235225
GMRINFRA EQ 23-Feb-17 22.15 22 22 -77.9 -78.235 0.335
0.112225
GMRINFRA EQ 24-Feb-17 22.25 22.1 22.1 -78.7 -78.235 -0.465
0.216225
GMRINFRA EQ 27-Feb-17 22.1 22 21.3 -78.9 -78.235 -0.665
0.442225
GMRINFRA EQ 28-Feb-17 21.1 21 20.35 -79.65 -78.235 -1.415
2.002225
TOTAL -78.235 6.9555
AVERAGE RETURN=- -78.235
RISK=√∑D2/ (n-1) =0.60
100%
80%
60%
40%
20%
0%
RUELNINITFYRIANFRA
Figure 1: Risk and Return of GMRINFRA
Interpretation
The above table shows the calculation of risk and return of
GMRINFRA Company for a period of one month. The average return is
-78.235 and risk is 0.60. The highest market price is 22.65
on
01-Feb-17. The lowest market price is 20.35 on 28-Feb-17
Table 2: A Statement Showing Risk and Return of HCC
Symbol Series Date Prev.
Close
Open
Price
Close
Price
Ret. Avg. Diff D2
HCC EQ 1-Feb-17 13.65 13.7 14.55 -85.45 -85.635 0.185
0.034225
HCC EQ 2-Feb-17 14.55 14.75 15.05 -84.95 -85.635 0.685
0.469225
HCC EQ 3-Feb-17 15.05 15.25 14.85 -85.15 -85.635 0.485
0.235225
HCC EQ 6-Feb-17 14.85 14.9 14.3 -85.7 -85.635 -0.065 0.004225
HCC EQ 7-Feb-17 14.3 14.15 14.25 -85.75 -85.635 -0.115
0.013225
HCC EQ 8-Feb-17 14.25 14.35 14.4 -85.6 -85.635 0.035 0.001225
HCC EQ 9-Feb-17 14.4 14.55 14.25 -85.75 -85.635 -0.115
0.013225
HCC EQ 10-Feb-17 14.25 14.15 14.15 -85.85 -85.635 -0.215
0.046225
HCC EQ 13-Feb-17 14.15 14.2 14.15 -85.85 -85.635 -0.215
0.046225
HCC EQ 14-Feb-17 14.15 14.2 14.1 -85.9 -85.635 -0.265
0.070225
HCC EQ 15-Feb-17 14.1 14.05 14.25 -85.75 -85.635 -0.115
0.013225
HCC EQ 16-Feb-17 14.25 14.1 14.3 -85.7 -85.635 -0.065
0.004225
HCC EQ 17-Feb-17 14.3 14.5 14.6 -85.4 -85.635 0.235 0.055225
HCC EQ 20-Feb-17 14.6 14.9 14.6 -85.4 -85.635 0.235 0.055225
HCC EQ 21-Feb-17 14.6 14.6 14.4 -85.6 -85.635 0.035
0.001225
HCC EQ 22-Feb-17 14.4 14.5 14.45 -85.55 -85.635 0.085
0.007225
HCC EQ 23-Feb-17 14.45 14.6 14.3 -85.7 -85.635 -0.065
0.004225
HCC EQ 24-Feb-17 14.3 14.3 14.1 -85.9 -85.635 -0.265 0.070225
HCC EQ 27-Feb-17 14.1 14.3 14.25 -85.75 -85.635 -0.115
0.013225
HCC EQ 28-Feb-17 14.25 14.2 14 -86 -85.635 -0.365 0.133225
TOTAL -85.635 1.2905
Average Return=--85.635
RISK=√∑D2/ (n-1) =0.26
0.08
0.06
0.04
0.02
0
RELIUNNFRITAY INFRA
COV
COV
Graph 2:
5.1. A Statement Showing Co-Efficient of Variation
COV=Risk/Return
Table 3:
COMPANY RETURN RISK COV
GMR INFRA -78.235 0.6 -0.007669202
HCC -85.635 0.23 -0.002685818
NCC -67.9425 1.6 -0.023549325
LITL -89.255 0.3 -0.003361156
IVRCL -79.7 0.89 -0.011166876
SIMPLEX INFRA -73.275 0.86 -0.011736609
GAMMN INFRA -88.9975 0.27 -0.003033793
REL INFRA 255.1925 18.13 0.071044408
RAMKY INFRA -37.1475 2.97 -0.079951545
UNITY INFRA 69.7925 1.34 0.019199771
List of Companies with Positive COV
Table 4:
COMPANY COV RELINFRA 0.071044408
UNITY INFRA 0.019199771
COV
100%
0%
RELINFRA UNITY INFRA
Graph 3:
COV
6. Findings
The present project work has been undertaken to study Security
Analysis for a period of one month. During this study the following
facts have been identified.
1) The company GMR INFRA has an average return of -78.235 and risk
0.6 of the highest price during the month was 22.65 on 1-Feb-17.
The lowest price during the month was
20.35 on 28-Feb-17. The co-efficient of variation is
-0.007669202.
2) The company HCC has an average return of -85.635 and risk of
0.23. The highest price during the month was 14.85 on 3-Feb-17. The
lowest price during the month was 14 on 28- Feb-17. The
co-efficient of variation is -0.002685818.
3) The company NCC has an average return of -67.9425 and risk of
1.6. The highest price during the month was 34.75 on 1-Feb-17. The
lowest price during the month was 29.9 on
11and12-Feb-17. The co-efficient of variation is
-0.023549325.
4) The company LITL has an average return of -89.255 and risk of
0.30. The highest price during the month was 11.65 on 28-Feb-17.
The lowest price during the month was 10.5 on
24-Feb-17. The co-efficient of variation is -0.003361156.
5) The company IVRCL has an average return of -79.7 and risk of
0.89. The highest price during the month was 21.75 on 1-Feb-17. The
lowest price during the month was 19.4 on
09-Feb-17. The co-efficient of variation is -0.011166876.
6) The company SIMPLEX INFRA has an average return of -73.275 and
risk of 0.86. The highest price during the month was 27.45 on
2-Feb-17. The lowest price during the month was 24 on 28-Feb-17.
The co-efficient of variation is -0.011736609.
7) The company GAMMN INFRA has an average return of -88.9975 and
risk of 0.27. The highest price during the month was 11.45 on
2-Feb-17. The lowest price during the month was 10.7 on
12and16-Feb-17. The COV is -0.003033793.
8) The company REL INFRA has an average return of 255.1925 and
risk of 18.13. The highest price during the month was 382.45 on
22-Feb-17. The lowest price during the month was
329.15 on 03-Feb-17. The co-efficient of variation is
0.071044408.
9) The company RAMKY has an average return of -37.1475 and risk of
2.97. The highest price during the month was 66.65 on 23-Feb-17.
The lowest price during the month was
54.2 on 01-Feb-17. The COV is -0.079951545.
10) The company UNITY INFRA has an average return of 69.7925 and
risk of 1.34. The highest price during the month was 33.05 on
22-Feb-17. The lowest price during the month was 28.65 on
10-Feb-17. The co-efficient of variation is 0.019199771.
7. Suggestions
The suggestions of the study are as follows:
1) Feb.2017 is favor for investor to invest in Reliance
infrastructure as it gives 255.19 returns.
2) Reliance and Unity infrastructure has high idle of COV better to
use it in operating cycle for getting results.
3) Investment in Reliance and unity infrastructure is favor for
long term investment.
4) From this analysis it is better not to go with the RAMKY
infrastructure as it yields negative returns of the Feb 2017.
5) The eight infrastructure companies are not performed well the
month of Feb 2017. So investment in infrastructure industry is
risky so better to invest in other sector.
8. Conclusion
The study risk return investigation helps the investor to pick up the securities based on his choice. The study of this kind provides information about the performance of various stocks in the market in terms of risk and return. This paper emphasizes on the market fluctuations relations to the prices of Scrip’s though it is difficult to observe a pattern for the price movements but efforts have been taken using fundamental analysis and technical analysis. Using fundamental analysis, it is observed that the financial position and performance of the firms are in correlation with present market prices. According to technical analysis, the historical data taken is used to observe the trends followed by the Scrip’s. However, we cannot say that any one method is sufficient to analyze and interpret the fluctuations but they help the investor to define the trends to some extent. Overall we can say that the project is satisfied.
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