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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 6 Issue 1, November-December 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1136
A Study on Measures the Return and
Volatility of Selected Securities in India
P Viswanatha Reddy1
, Dr. Nalla Bala Kalyan2
1
Assistant Professor, 2
Associate Professor,
1,2
Department of Management Studies, Sri Venkateswara College of Engineering, Tirupati, Andhra Pradesh, India
ABSTRACT
The study aims to understand the Return and Risk associated with
FMCG stock during the period of FY 2020- 2021. Here 3 FMCG
stocks are chosen from NSE stock exchange and collected the data.
To analyze the risk and return, standard deviation tools applied. The
research finds that the Dabur India Ltd and Colgate Palmolive was
generated the good returns with smaller amount deviations. So, this
stock was safest players in the market. At a same time Hindustan
Unilever was not generated the less amount of returns with high
deviations. So this stock was not safest player in the market.
KEYWORDS: Risk & return analysis, technical analysis, stock
markets, standard deviation
How to cite this paper: P Viswanatha
Reddy | Dr. Nalla Bala Kalyan "A Study
on Measures the Return and Volatility of
Selected Securities in India" Published
in International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-6 |
Issue-1, December
2021, pp.1136-
1141, URL:
www.ijtsrd.com/papers/ijtsrd47966.pdf
Copyright © 2021 by author(s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an
Open Access article
distributed under the
terms of the Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/by/4.0)
1. INTRODUCTION
Generally investors feels that investment in stock
markets is high risky but if we done proper analysis
or expert suggestion makes profitable returns to the
investors. Many people won’t know the how to make
investments in stock markets, once if we understand
then it will be very simple process to make
investments and getting the returns. Now a day’s
people are getting lots of information about the stock
market through news paper and electronic media. So
it makes increase of investment in stock markets.
Investment in normal market conditions will be safe
because analysis of stock performance will be more
predictable. So investors can make safer investments
but at present market is very volatile due to Covid 19
pandemic crisis which makes entire global countries
are lock down due drastic spread of disease and
makes them lakhs people sick. During this crisis
period, even stock analysis will not generate the
proper reliable data to make profitable investments. In
older days stock market is physical place where
investors directly visit the stock exchange and trade
through the authorized brokers but due to
technological up gradation, the transaction in stock
exchange is done through online mode.
A stock market is a primarily a virtual exchange of
securities (that is shares and debentures, which
companies use as a means of raising finance) and
derivatives (i.e. virtual instruments such as contracts
that relate to assets and securities and can be traded).
It is virtual in the sense that the market is an
intangible concept, rather than a physical place, and
as a result of advancing technologies striders can now
get involved with little more than a laptop or mobile
phone. The market brings together a range of traders
of all shapes and sizes – from small, one-man bands
trading for their own personal gains through to hedge
funds managing billion in assets, and everything in
between.
2. Literature Review
William and Vimala (2015) examined the volatility of
equity share price of five select private banks listed in
the National Stock Exchange. Considering that banks
play an important role in the economy of India, an
IJTSRD47966
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1137
attempt was made to analyze the market volatility of
the selected banks by using mean, standard deviation
and beta values using the opening and closing prices.
It was concluded that the volatility of the closing
prices was similar for all the five banks selected for
the study.
Anbukarasi and Nithya (2014) made an attempt to
bring out the Standard deviation between select stock
indices and the NIFTY. It was found that there was a
significant Standard deviation of all the selected
indices except Banks. It was also concluded that the
Bank indices have a strong impact on NIFTY
Movements.
Rajamohan.S and Muthukamu.M (2014), conducted a
comparative study between bank Index and other
sectoral indices Using Pearsonian Average return and
Standard deviation. It was found that Bank index
positively influenced almost all the other sectoral
indices. Investors, before investing in any sector,
hence need to check the patterns in the banking sector
as it could influence the behavior of other sector
stocks.
Bhowmik.D (2013) evaluated the framework of stock
market volatility at the country level. According to
the study volatility would be spurred by political
turmoil or instability and high volatility reduces
growth rate of the economy. Volatility also influences
the volume of international trade and increases
current account deficits.
Shanmugasundram and Benedict (2013) conducted a
study on the volatility of the sectoral indices with
reference to NSE. In this study the risk relationship in
different time intervals of the CNX NIFTY index and
five sectoral indices including Bank index, FMCG
index, Infrastructure index and IT index was
examined. The results of the study did not support
any significant difference across the risk of sectoral
indices and NIFTY.
SwarnaLakshmi (2013) used the ARCH model to
measure the volatility in NIFTY and other 11 select
sectoral indices in India for the period 2008 to 2013.
A conclusion was made on the 11 sectors volatility in
comparison with the NIFTY and it was found that
among the 11 sectors, the realty sector was the most
volatile than any other sector. The paper also has
discussions on the reasons for the same.
3. Research Methodology
The researcher selected 3 FMCG i.e., Dabur India ltd,
Hindustan Unilever ltd, Colgate Palmolive India Ltd.
The stocks data is collected from NSE stock exchange
web portal. The following will be tools used to
calculate the Risk and returns of the stock during the
period of FY 2020 - 2021. These tools help us to
understand the risk associated with the schemes and
measures used in evaluating the performances of
stocks.
Return
Closing Price− Opening Price
Return = --------------------------------------- x 100
Opening price
Arithmetic Mean
Average return that can be expected from investment.
The arithmetic average return is appropriate as a
measure of the central tendency of a number of
returns calculated for a particular time i.e. for 15
months.
X = Σ X/N
Where X = return of stock values
N = Number of observation
Average Return = Total Return / No of Observations
Standard deviation
S.D =√Σ ( − ) 2
Where X= Return
N= Number of observations
X= Average return on investment
The standard deviation is a measure of the variables
around its mean or it is the square root of the sum of
the squared deviations from the mean divided by the
number of observations.
4. Data Analysis and Interpretation
Table 1 The Returns of Dabur India Ltd during the FY 2020 – 2021
Monthly Returns (X) Average returns (XI) X-XI (x-x)2
8.43 2.81 5.62 31.54
-4.51 2.81 -7.32 53.56
-0.85 2.81 -3.66 13.40
8.92 2.81 6.11 37.30
-7.77 2.81 -10.58 111.87
6.69 2.81 3.88 15.09
-0.78 2.81 -3.59 12.86
-2.91 2.81 -5.72 32.75
6.16 2.81 3.35 11.24
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1138
-3.56 2.81 -6.37 40.55
-2.33 2.81 -5.14 26.42
8.13 2.81 5.32 28.35
Variance 34.58
Standard Deviation 5.88
Figure 1 Monthly returns of Dabur India Ltd during the period of 2020 – 2021
Table 2 Variance and standard deviation of Dabur India ltd during FY 2020 - 2021
Montly Returns (X) Average returns (XI) (X-XI) (x-x)2
8.43 2.81 5.62 31.54
-4.51 2.81 -7.32 53.56
-0.85 2.81 -3.66 13.40
8.92 2.81 6.11 37.30
-7.77 2.81 -10.58 111.87
6.69 2.81 3.88 15.09
-0.78 2.81 -3.59 12.86
-2.91 2.81 -5.72 32.75
6.16 2.81 3.35 11.24
-3.56 2.81 -6.37 40.55
-2.33 2.81 -5.14 26.42
8.13 2.81 5.32 28.35
Variance 34.58
Standard Deviation 5.88
The Table 2 clearly presents the return and risk associated with Dabur India ltd during the period of FY 2020-
2021. Among FMCG stocks, it is one of the best stock to pick because the average returns was 2.81 percent and
total returns was 20.84 which means the decent performance. The standard deviation of the Dabur India ltd was
5.88, which indicates decent volatility. The volatility of the stock was not too much ups and downs which
means, risk associated with stock not heavily affected the investors. So this stock is one of the safest options to
invest.
Table 3 Monthly Returns of Colgate Palmolive India Ltd during the period of FY 2020 - 2021
Month Open Close Return (percentage)
Apr-20 1260 1469 14.22
May-20 1435 1391 -3.16
Jun-20 1384 1406 1.56
Jul-20 1398 1423 1.75
Aug-20 1423 1363 -4.40
Sep-20 1373 1433 4.18
Oct-20 1445 1516 4.68
Nov-20 1516 1513 -0.19
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1139
Dec-20 1540 1565 1.59
Jan-21 1565 1603 2.37
Feb-21 1604 1581 -1.45
Mar-21 1577 1559 -1.15
Average Return 1.66
overall returns during period of FY 2020 - 2021 23.73
Figure 2 The Monthly Returns of Colgate Palmolive India Ltd during FY 2020 – 2021
Table 4 The variance and standard deviation of Colgate Palmolive India Ltd during FY 2020 – 2021
Monthly Returns (X) Average Returns (XI) (X-XI) (X-XI)2
14.23 1.67 12.56 157.687
-3.16 1.67 -4.83 23.359
1.56 1.67 -0.11 0.011
1.76 1.67 0.09 0.007
-4.40 1.67 -6.07 36.869
4.19 1.67 2.52 6.335
4.68 1.67 3.01 9.080
-0.20 1.67 -1.87 3.490
1.60 1.67 -0.07 0.005
2.37 1.67 0.70 0.490
-1.45 1.67 -3.12 9.764
-1.15 1.67 -2.82 7.978
Variance 21.256
SD 4.610
The Table 4 clearly presents the return and risk associated with Colgate Palmolive India Ltd during the period of
FY 2020-2021. Among FMCG stocks, it is one of the best stock to pick because the average returns was 1.66
percent and total returns was 23.73 which reflects the decent performance. The standard deviation of the Colgate
Palmolive India ltd was 4.610, which indicates less volatility. The volatility of the stock was not too much ups
and downs which means, risk associated with stock not heavily affected the investors. So this stock is one of the
safest options to invest.
Table 5 The Monthly Returns of Hindustan Unilever Ltd during the period of FY 2020 - 2021
Month open close Returns
Apr-20 2293 2195 -4.27
May-20 2130 2057 -3.42
Jun-20 2075 2180 5.06
Jul-20 2183 2209 1.19
Aug-20 2209 2117 -4.16
Sep-20 2150 2068 -3.81
Oct-20 2090 2071 -0.90
Nov-20 2072 2138 3.18
Dec-20 2159 2395 10.93
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1140
Jan-21 2395 2263 -5.51
Feb-21 2276 2132 -6.32
Mar-21 2135 2431 13.86
Average Returns 0.48
Total Returns 6.01
Figure 3 The Monthly Returns of Hindustan Unilever Ltd during FY 2020 – 2021
Table 6 The variance and standard deviation of Hindustan Unilever Ltd during FY 2020 – 2021
Montly Returns (X) Average Returns (XI) (X-XI) (X-XI)2
-4.27 0.48 -4.75 22.59935
-3.43 0.48 -3.91 15.26645
5.06 0.48 4.58 20.97861
1.19 0.48 0.71 0.505552
-4.16 0.48 -4.64 21.57399
-3.81 0.48 -4.29 18.43804
-0.91 0.48 -1.39 1.929574
3.19 0.48 2.71 7.318801
10.93 0.48 10.45 109.2231
-5.51 0.48 -5.99 35.89786
-6.33 0.48 -6.81 46.33374
13.86 0.48 13.38 179.136
Variance 39.93342
Standard Deviation 6.31929
The Table 6 clearly presents the return and risk associated with Hindustan Unilever ltd during the period of FY
2020-2021. Among FMCG stocks, it is not at all right choice to pick this stock because the average returns was
0.48 percent and total returns was 6.01 percent which indicates the poor performance for the period of FY 2020 -
2021. The standard deviation of the Hindustan Unilever Ltd was 6.31, which indicates heavy volatility. The
volatility of the stock was too much ups and downs which means, risk associated with stock was heavily affected
the investors. So this stock is safest options to invest.
5. Findings
The research finds that the Dabur India Ltd and
Colgate Palmolive was generated the good returns
with smaller amount deviations. So, this stock was
safest players in the market. At a same time
Hindustan Unilever was not generated the less
amount of returns with high deviations. So this stock
was not safest player in the market.
6. Conclusion
Generally, investor perception is easily making the
money by investing the stock market. But investor
should understand the one thing; returns is always
interlink with risk. So, more returns means more risk
and less returns means less risk. Investor always
studies the stocks by using the statistical tools like
standard deviation know the return and risk levels. It
helps to better understand behaviour of the stock
which right decision while making the investment.
7. References:
[1] Acheme David Ijegwa1, Vincent Olufunke
Rebecca1, Folorunso Olusegun & Olusola
Olasunkanmi Isaac (2014). A Predictive Stock
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1141
Market Technical Analysis Using Fuzzy Logic.
Computer and Information Science; Vol. 7, No.
3; ISSN 1913-8989.
[2] Alejandro Escobar, Juli´an Moreno and
Sebasti´an M´unera(2013), A Technical
Analysis indicator Based on Fuzzy Logic.
Electronic Notes in Theoretical Computer
Science, 292, 27–37.
[3] Brock, W., J. Lakonishok and B. Lebaron
(1992). Simple Technical Trading Rules and
the Stochastic Properties of Stock Returns.
Journal of Finance 47, pp.1731–1764.
[4] Gabriel Dan I.Anghel (2015), Stock Market
Efficiency and MACD. Evidence from
countries around the world. Procedia
Economics and Finance 32 (1414 – 1431.
[5] Jensen, M.C.; Benington, G.A.(1970) Random
walk and technical theories: Some additional
evidence. J. Financ. , 25, 469–482.
[6] Mahavir Sing, Dr.Anita (2012), Moving
Averages and Stock Market Behaviour.
International Journal of Computing and
Corporate Research , Volume 2, Issue 6,
November 2012, and ISSN 2249054X.
[7] Mills, T.C. (1997). Technical Analysis and the
London Stock Exchange: Testing Trading
Rules using the FT30. International Journal of
Financial Economics 2, pp. 319-331.
[8] Murphy, J.J (1999). Technical Analysis of the
Financial Markets: A Comprehensive Guide to
Trading Methods and Applications; New York
Institute of Finance: New York, NY, USA.
[9] Wilder, J.W. (1978). New Concepts in
Technical Trading Systems; Trend Research:
Greensboro, NC, USA.

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A Study on Measures the Return and Volatility of Selected Securities in India

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 6 Issue 1, November-December 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1136 A Study on Measures the Return and Volatility of Selected Securities in India P Viswanatha Reddy1 , Dr. Nalla Bala Kalyan2 1 Assistant Professor, 2 Associate Professor, 1,2 Department of Management Studies, Sri Venkateswara College of Engineering, Tirupati, Andhra Pradesh, India ABSTRACT The study aims to understand the Return and Risk associated with FMCG stock during the period of FY 2020- 2021. Here 3 FMCG stocks are chosen from NSE stock exchange and collected the data. To analyze the risk and return, standard deviation tools applied. The research finds that the Dabur India Ltd and Colgate Palmolive was generated the good returns with smaller amount deviations. So, this stock was safest players in the market. At a same time Hindustan Unilever was not generated the less amount of returns with high deviations. So this stock was not safest player in the market. KEYWORDS: Risk & return analysis, technical analysis, stock markets, standard deviation How to cite this paper: P Viswanatha Reddy | Dr. Nalla Bala Kalyan "A Study on Measures the Return and Volatility of Selected Securities in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-6 | Issue-1, December 2021, pp.1136- 1141, URL: www.ijtsrd.com/papers/ijtsrd47966.pdf Copyright © 2021 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0) 1. INTRODUCTION Generally investors feels that investment in stock markets is high risky but if we done proper analysis or expert suggestion makes profitable returns to the investors. Many people won’t know the how to make investments in stock markets, once if we understand then it will be very simple process to make investments and getting the returns. Now a day’s people are getting lots of information about the stock market through news paper and electronic media. So it makes increase of investment in stock markets. Investment in normal market conditions will be safe because analysis of stock performance will be more predictable. So investors can make safer investments but at present market is very volatile due to Covid 19 pandemic crisis which makes entire global countries are lock down due drastic spread of disease and makes them lakhs people sick. During this crisis period, even stock analysis will not generate the proper reliable data to make profitable investments. In older days stock market is physical place where investors directly visit the stock exchange and trade through the authorized brokers but due to technological up gradation, the transaction in stock exchange is done through online mode. A stock market is a primarily a virtual exchange of securities (that is shares and debentures, which companies use as a means of raising finance) and derivatives (i.e. virtual instruments such as contracts that relate to assets and securities and can be traded). It is virtual in the sense that the market is an intangible concept, rather than a physical place, and as a result of advancing technologies striders can now get involved with little more than a laptop or mobile phone. The market brings together a range of traders of all shapes and sizes – from small, one-man bands trading for their own personal gains through to hedge funds managing billion in assets, and everything in between. 2. Literature Review William and Vimala (2015) examined the volatility of equity share price of five select private banks listed in the National Stock Exchange. Considering that banks play an important role in the economy of India, an IJTSRD47966
  • 2. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1137 attempt was made to analyze the market volatility of the selected banks by using mean, standard deviation and beta values using the opening and closing prices. It was concluded that the volatility of the closing prices was similar for all the five banks selected for the study. Anbukarasi and Nithya (2014) made an attempt to bring out the Standard deviation between select stock indices and the NIFTY. It was found that there was a significant Standard deviation of all the selected indices except Banks. It was also concluded that the Bank indices have a strong impact on NIFTY Movements. Rajamohan.S and Muthukamu.M (2014), conducted a comparative study between bank Index and other sectoral indices Using Pearsonian Average return and Standard deviation. It was found that Bank index positively influenced almost all the other sectoral indices. Investors, before investing in any sector, hence need to check the patterns in the banking sector as it could influence the behavior of other sector stocks. Bhowmik.D (2013) evaluated the framework of stock market volatility at the country level. According to the study volatility would be spurred by political turmoil or instability and high volatility reduces growth rate of the economy. Volatility also influences the volume of international trade and increases current account deficits. Shanmugasundram and Benedict (2013) conducted a study on the volatility of the sectoral indices with reference to NSE. In this study the risk relationship in different time intervals of the CNX NIFTY index and five sectoral indices including Bank index, FMCG index, Infrastructure index and IT index was examined. The results of the study did not support any significant difference across the risk of sectoral indices and NIFTY. SwarnaLakshmi (2013) used the ARCH model to measure the volatility in NIFTY and other 11 select sectoral indices in India for the period 2008 to 2013. A conclusion was made on the 11 sectors volatility in comparison with the NIFTY and it was found that among the 11 sectors, the realty sector was the most volatile than any other sector. The paper also has discussions on the reasons for the same. 3. Research Methodology The researcher selected 3 FMCG i.e., Dabur India ltd, Hindustan Unilever ltd, Colgate Palmolive India Ltd. The stocks data is collected from NSE stock exchange web portal. The following will be tools used to calculate the Risk and returns of the stock during the period of FY 2020 - 2021. These tools help us to understand the risk associated with the schemes and measures used in evaluating the performances of stocks. Return Closing Price− Opening Price Return = --------------------------------------- x 100 Opening price Arithmetic Mean Average return that can be expected from investment. The arithmetic average return is appropriate as a measure of the central tendency of a number of returns calculated for a particular time i.e. for 15 months. X = Σ X/N Where X = return of stock values N = Number of observation Average Return = Total Return / No of Observations Standard deviation S.D =√Σ ( − ) 2 Where X= Return N= Number of observations X= Average return on investment The standard deviation is a measure of the variables around its mean or it is the square root of the sum of the squared deviations from the mean divided by the number of observations. 4. Data Analysis and Interpretation Table 1 The Returns of Dabur India Ltd during the FY 2020 – 2021 Monthly Returns (X) Average returns (XI) X-XI (x-x)2 8.43 2.81 5.62 31.54 -4.51 2.81 -7.32 53.56 -0.85 2.81 -3.66 13.40 8.92 2.81 6.11 37.30 -7.77 2.81 -10.58 111.87 6.69 2.81 3.88 15.09 -0.78 2.81 -3.59 12.86 -2.91 2.81 -5.72 32.75 6.16 2.81 3.35 11.24
  • 3. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1138 -3.56 2.81 -6.37 40.55 -2.33 2.81 -5.14 26.42 8.13 2.81 5.32 28.35 Variance 34.58 Standard Deviation 5.88 Figure 1 Monthly returns of Dabur India Ltd during the period of 2020 – 2021 Table 2 Variance and standard deviation of Dabur India ltd during FY 2020 - 2021 Montly Returns (X) Average returns (XI) (X-XI) (x-x)2 8.43 2.81 5.62 31.54 -4.51 2.81 -7.32 53.56 -0.85 2.81 -3.66 13.40 8.92 2.81 6.11 37.30 -7.77 2.81 -10.58 111.87 6.69 2.81 3.88 15.09 -0.78 2.81 -3.59 12.86 -2.91 2.81 -5.72 32.75 6.16 2.81 3.35 11.24 -3.56 2.81 -6.37 40.55 -2.33 2.81 -5.14 26.42 8.13 2.81 5.32 28.35 Variance 34.58 Standard Deviation 5.88 The Table 2 clearly presents the return and risk associated with Dabur India ltd during the period of FY 2020- 2021. Among FMCG stocks, it is one of the best stock to pick because the average returns was 2.81 percent and total returns was 20.84 which means the decent performance. The standard deviation of the Dabur India ltd was 5.88, which indicates decent volatility. The volatility of the stock was not too much ups and downs which means, risk associated with stock not heavily affected the investors. So this stock is one of the safest options to invest. Table 3 Monthly Returns of Colgate Palmolive India Ltd during the period of FY 2020 - 2021 Month Open Close Return (percentage) Apr-20 1260 1469 14.22 May-20 1435 1391 -3.16 Jun-20 1384 1406 1.56 Jul-20 1398 1423 1.75 Aug-20 1423 1363 -4.40 Sep-20 1373 1433 4.18 Oct-20 1445 1516 4.68 Nov-20 1516 1513 -0.19
  • 4. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1139 Dec-20 1540 1565 1.59 Jan-21 1565 1603 2.37 Feb-21 1604 1581 -1.45 Mar-21 1577 1559 -1.15 Average Return 1.66 overall returns during period of FY 2020 - 2021 23.73 Figure 2 The Monthly Returns of Colgate Palmolive India Ltd during FY 2020 – 2021 Table 4 The variance and standard deviation of Colgate Palmolive India Ltd during FY 2020 – 2021 Monthly Returns (X) Average Returns (XI) (X-XI) (X-XI)2 14.23 1.67 12.56 157.687 -3.16 1.67 -4.83 23.359 1.56 1.67 -0.11 0.011 1.76 1.67 0.09 0.007 -4.40 1.67 -6.07 36.869 4.19 1.67 2.52 6.335 4.68 1.67 3.01 9.080 -0.20 1.67 -1.87 3.490 1.60 1.67 -0.07 0.005 2.37 1.67 0.70 0.490 -1.45 1.67 -3.12 9.764 -1.15 1.67 -2.82 7.978 Variance 21.256 SD 4.610 The Table 4 clearly presents the return and risk associated with Colgate Palmolive India Ltd during the period of FY 2020-2021. Among FMCG stocks, it is one of the best stock to pick because the average returns was 1.66 percent and total returns was 23.73 which reflects the decent performance. The standard deviation of the Colgate Palmolive India ltd was 4.610, which indicates less volatility. The volatility of the stock was not too much ups and downs which means, risk associated with stock not heavily affected the investors. So this stock is one of the safest options to invest. Table 5 The Monthly Returns of Hindustan Unilever Ltd during the period of FY 2020 - 2021 Month open close Returns Apr-20 2293 2195 -4.27 May-20 2130 2057 -3.42 Jun-20 2075 2180 5.06 Jul-20 2183 2209 1.19 Aug-20 2209 2117 -4.16 Sep-20 2150 2068 -3.81 Oct-20 2090 2071 -0.90 Nov-20 2072 2138 3.18 Dec-20 2159 2395 10.93
  • 5. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD47966 | Volume – 6 | Issue – 1 | Nov-Dec 2021 Page 1140 Jan-21 2395 2263 -5.51 Feb-21 2276 2132 -6.32 Mar-21 2135 2431 13.86 Average Returns 0.48 Total Returns 6.01 Figure 3 The Monthly Returns of Hindustan Unilever Ltd during FY 2020 – 2021 Table 6 The variance and standard deviation of Hindustan Unilever Ltd during FY 2020 – 2021 Montly Returns (X) Average Returns (XI) (X-XI) (X-XI)2 -4.27 0.48 -4.75 22.59935 -3.43 0.48 -3.91 15.26645 5.06 0.48 4.58 20.97861 1.19 0.48 0.71 0.505552 -4.16 0.48 -4.64 21.57399 -3.81 0.48 -4.29 18.43804 -0.91 0.48 -1.39 1.929574 3.19 0.48 2.71 7.318801 10.93 0.48 10.45 109.2231 -5.51 0.48 -5.99 35.89786 -6.33 0.48 -6.81 46.33374 13.86 0.48 13.38 179.136 Variance 39.93342 Standard Deviation 6.31929 The Table 6 clearly presents the return and risk associated with Hindustan Unilever ltd during the period of FY 2020-2021. Among FMCG stocks, it is not at all right choice to pick this stock because the average returns was 0.48 percent and total returns was 6.01 percent which indicates the poor performance for the period of FY 2020 - 2021. The standard deviation of the Hindustan Unilever Ltd was 6.31, which indicates heavy volatility. The volatility of the stock was too much ups and downs which means, risk associated with stock was heavily affected the investors. So this stock is safest options to invest. 5. Findings The research finds that the Dabur India Ltd and Colgate Palmolive was generated the good returns with smaller amount deviations. So, this stock was safest players in the market. At a same time Hindustan Unilever was not generated the less amount of returns with high deviations. So this stock was not safest player in the market. 6. Conclusion Generally, investor perception is easily making the money by investing the stock market. But investor should understand the one thing; returns is always interlink with risk. So, more returns means more risk and less returns means less risk. Investor always studies the stocks by using the statistical tools like standard deviation know the return and risk levels. It helps to better understand behaviour of the stock which right decision while making the investment. 7. References: [1] Acheme David Ijegwa1, Vincent Olufunke Rebecca1, Folorunso Olusegun & Olusola Olasunkanmi Isaac (2014). A Predictive Stock
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