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Our Heritage
ISSN: 0474-9030
Vol-68-Issue-1-January-2020
P a g e | 8900 Copyright ⓒ 2019Authors
Investment Stratagem of It Employees
M. Rani Subathra1
, Dr.S.Bulomine Regi2
, Dr. S. Anthony
Rahul Golden3
1
Ph.D Research Scholar in Commerce Research Center, St. Mary’s College (Autonomous)
Thoothukudi, affiliated to Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu,
India
2
Assistant Professor of Commerce & Research Supervisor, St. Mary’s College
(Autonomous), Thoothukudi affiliated to Manonmaniam Sundaranar University, Tirunelveli,
Tamilnadu, India. Email id: drregi23@gmail.com.
3
Assistant Professor of Commerce, St. Xavier’s College (Autonomous), Palayamkottai
affiliated to Manonmaniam Sundaranar University, Tirunelveli. Email id:
kvsrahul@gmail.com
Abstract
Saving and Investment are two key variables which play a significant role in
economic growth, control of inflation, stability and promotion of employment especially in
the context of developing countries. In general, to invest is to distribute money in the
expectation of some benefit in the future. Actually, the present study identifies about the
preferred investment avenues among IT investors from backward areas using their own self-
assessment test. This paper analyse and found that IT sector employees consider more safety
as well as good return on investment rather than taking risk, when compared to urban IT
sector employees.
Keywords: Investment, Savings, IT Sector, Rural, Urban, Profit, Risk and Return
Introduction
India is the world’s leading outsourcing destination, and offers an advanced
ecosystem for foreign investors looking at the information technology (IT) sector. However,
the IT sector is undergoing a critical transition phase as it adapts to the disruptions caused by
automation and allied technologies popularly referred to as SMAC or social media, mobility,
data analytics, and cloud computing.
Here the employees from rural and urban cities are noted. Their perception is varying
with respect to savings and their mode of investment. Technology professionals that have
been laid off can participate in the country’s vibrant start up scene, while others will be
available for employment with new market entrants. Meanwhile, the sector’s investment in
new verticals, along with the upskilling of the domestic talent pool, will only strengthen the
world-class infrastructure and service capabilities currently in place.
Investment Option Available
There are various number of financial instruments available today for investment
purpose. The employee has to choose Proper Avenue among those available, depending upon
their specific need, risk preference, and return that are expected.
Objective and Scope of Study
a. To know the investment preference of IT sector employees and working in Chennai
city IT Companies.
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-1-January-2020
P a g e | 8901 Copyright ⓒ 2019Authors
b. To know the factor that are influencing their investment behavior of the employees.
c. To analyze the pattern of investment and saving mode of investors.
d. To analyze the problems that are faced by the investors.
e. To know the mode of investments of the salaried respondents in various investment
avenues.
Review of Literature
Ajith Kumar (2018) the study analysed the investment pattern of people in Bangalore
city and Bhubaneswar & analysis of the study was undertaken with the help of survey
method.Karthikeyan (2018) has conducted research on Small Investors Perception on Post
office Saving Schemes and found that there was significant difference among the four age
groups, in the level of awareness for kinas vikaspatra (KVP).Vinod Patil (2019) studied
preferred investment avenues among salaried people with reference to Pune City, India. A
sample size of 50 investors has been taken from the Pune City, India.
The result of finding showed 60% investors were aware about the investment avenues
whereas 40% were unaware.Research Design: This study is based on exploratory study as
well as descriptive one. It is hence done to understand the investment pattern of the IT
employees who are coming from Ruralbackgroundand their approach towards investment
avenues.Sample Size: Sampling size is 82 for convenience i.e. 82employees who are not
belongs to urban cities fill the questionnaire for this purpose.Sampling Technique: Sampling
technique is the technique used to select the sample size. Stratified sampling technique used
in this research. In this, Investors were taken according to the convenience of the research
study. Sampling design: Since the information is to be taken from Investors, a questionnaire
has prepared for knowing the investment pattern of IT employees.Data collection source: The
study is based on both primary and secondary data.
Observed Frequency:
Gender Awareness Unawareness Total Percentage
Male 30 8 38 78.94%
Female 14 8 22 63.63%
Total 44 16 60 73.33%
(Source: Primary Data)
Chi-Square Test:
O E (O-E) (O-E)2 (O-E)2/E
30 27.86 2.14 4.57 0.1640
08 10.13 -2.13 4.53 0.4472
14 16.13 -2.13 4.53 0.2808
08 5.87 2.14 4.57 0.7785
Total 1.0593
Degree of freedom: v= (r-1) (c-1), v= (2-1) (2-1) , v= 1
Chi-square results in 1.0593 is less than the 0.05 level significance 3.841. So, Null hypothesis
is accepted.
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-1-January-2020
P a g e | 8902 Copyright ⓒ 2019Authors
Conclusion: Hence it is concluded that there is no significant relationship between the
Gender and the Investment awareness level.
Degree of freedom: v= (r-1) (c-1), v= (5-1) (2-1), v= 4
Chi-square results 16.51 is greater than the 0.05 level significance 9.48. So, Null hypothesis
is rejected.
Conclusion:Hence it is concluded that there is significant relationship between the income
level& awareness about the investments modes
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-1-January-2020
P a g e | 8903 Copyright ⓒ 2019Authors
Percentage wise monthly saving of salaried class people
Saving Range No. of Respondents Percentage
10% to 20% 14 23%
21% to 30% 21 35%
31% to 40% 12 21%
41% to 50% 10 16%
Above 50% 3 5%
Total 60 100%
(Source: Primary Data)
Factors Influencing While Selecting Investment Avenues
Sr. No Factors No. of Respondents Percentage
1. Safety 11 18.33
2. Liquidity 12 20.00
3. Tax Saving 14 23.33
4. Diversification 9 15.00
5. Affordability 7 11.67
6. Simplicity 7 11.67
Total 60 100%
(Source: Primary Data)
Objectives of the Investment
Sr. No Factors No. of Respondents Percentage
1. Future Security 16 26.67
2. Good Returns 11 18.33
3. Liquidity 7 11.67
4. Capital Appreciation 5 8.33
5. Tax Savings 10 16.67
6. Children Career 10 16.66
7. Other 1 1.67
Total 60 100%
(Source: Primary Data)
Most Preferable Investment Modes
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-1-January-2020
P a g e | 8904 Copyright ⓒ 2019Authors
S. No Investment Avenues No. of Respondents Percentage
1. Stock Market 7 11.67
2. Bank Deposit 10 16.67
3. Real Estate 6 10.00
4. Mutual Funds 11 18.33
5. Metal ( Gold/Silver/Others) 5 8.33
6. Insurance 9 15.00
7. Commodity 2 3.33
8. Tax-Saving Schemes 6 10.00
9. Debt Market 3 5.00
10. Others 01 1.67
Total 60 100%
(Source: Primary Data)
Level of Risk Involved in the Investment Schemes
Comparative Analysis of Review
7
10
6
11
5
9
2
6
3 10
10
20
30
40
50
Most Preferable Investment Options
0
10
20
30
40
50
60
Very High
High
Moderate
Low
Very Low
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-1-January-2020
P a g e | 8905 Copyright ⓒ 2019Authors
From the above statements of research that was conducted and based on the data that
was collected it can be clearly stated that there is no relation between the gender and the level
of awareness of different modes of investments.
Further it is also observed that there is direct relationship between the income level and
awareness of the different modes of investment. A person having a high level of income tends
to have more knowledge about the different sources and avenues of investment that are
available in the market. A person having more income will obviously tend to invest more
money.
Further bank deposit and mutual funds are the most preferred sources of investments
by the IT investors from rural areas. Every respondent feels that there is high level of risk in
investments.
Suggestions
Mutual fund is also found as most favoured option by the IT employees today.
Investment in mutual funds through the way of Systematic Investment Plan (SIP) is a
favoured investment option by the youngsters. Awareness programs have to be conducted by
stock broking firms, because most of the respondents i.e. investors are thinking that these
avenues are loss making and doesn’t have no good return on it. Hence this study concluded
that most of the investors prefer secured regular income on investment rather than taking risk.
Conclusion
The study has made an attempt to analyse the savings and investment pattern of IT
investors.The data analysis of research reveals that the safety mode is concerned as important
factor while doing investment, so remaining avenues are found less considerable while doing
investment by investors. Questions like why people to save and what make them not to invest
are also analysed in-depth and interpreted. Especially in a city like Chennai where Real estate
is always on the high preference, but there is no fixed return and the risk and amount of
investment is high.It is absolutely essential and needed to save earned income, to have a plan
for future, and to resist the spending funds that already owned.
References
1. Sultana, ST. 2010. An empirical study of Indian individual investor‟s behavior. Global Journal of Finance
and Management.2 (1) :19-33.12.
2. P. Venkateswari, E. JebithaSteffy, Dr. N. Muthukumaran, 'License Plate cognizance by Ocular Character
Perception', International Research Journal of Engineering and Technology, Vol. 5, No. 2, pp. 536-542,
February 2018.
3. N. Muthukumaran, Mrs R.Sonya, Dr. Rajashekhara and V. Chitra, 'Computation of Optimum ATC Using
Generator Participation Factor in Deregulated System', International Journal of Advanced Research Trends in
Engineering and Technology, Vol. 4, No. 1, pp. 8-11, January 2017.
4. B. Renuka, B. Sivaranjani, A. Maha Lakshmi,Dr. N. Muthukumaran, 'Automatic Enemy Detecting Defense
Robot by using Face Detection Technique', Asian Journal of Applied Science and Technology, Vol. 2, No. 2, pp.
495-501, April 2018.
5. Anil Lamba, "Uses Of Cluster Computing Techniques To Perform Big Data Analytics For Smart Grid
Automation System", International Journal for Technological Research in Engineering, Volume 1 Issue 7,
pp.5804-5808, 2014.
6. Anil Lamba, “Uses Of Different Cyber Security Service To Prevent Attack On Smart Home Infrastructure",
International Journal for Technological Research in Engineering, Volume 1, Issue 11, pp.5809-5813, 2014.
7. Anil Lamba, "A Role Of Data Mining Analysis To Identify Suspicious Activity Alert System”, International
Journal for Technological Research in Engineering, Volume 2 Issue 3, pp.5814-5825, 2014.
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-1-January-2020
P a g e | 8906 Copyright ⓒ 2019Authors
8. Anil Lamba, "To Classify Cyber-Security Threats In Automotive Doming Using Different Assessment
Methodologies”, International Journal for Technological Research in Engineering, Volume 3, Issue 3, pp.5831-
5836, 2015.
9. Anil Lamba, “A Study Paper On Security Related Issue Before Adopting Cloud Computing Service Model”,
International Journal for Technological Research in Engineering, Volume 3, Issue 4, pp.5837-5840, 2015.
10. N. Muthukumaran, 'Analyzing Throughput of MANET with Reduced Packet Loss', Wireless Personal
Communications, Vol. 97, No. 1, pp. 565-578, November 2017.
11. R. Sudhashree, N. Muthukumaran, 'Analysis of Low Complexity Memory Footprint Reduction for Delay and
Area Efficient Realization of 2D FIR Filters', International Journal of Applied Engineering Research, Vol. 10,
No. 20, pp. 16101-16105, 2015.
12. F.M.AiyshaFarzana, HameedhulArshadh. A, Ganesan. J, Dr. N. Muthukumaran, 'High Performance VLSI
Architecture for Advanced QPSK Modems', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp.
45-49, January 2019.
13. A.Srinithi, E.Sumathi, K.Sushmithawathi, M.Vaishnavi, Dr. N. Muthukumaran, 'An Embedded Based
Integrated Flood Forecasting through HAM Communication', Asian Journal of Applied Science and
Technology, Vol. 3, No. 1, pp. 63-67, January 2019.
14. N. Muthukumaran and R. Ravi, 'Hardware Implementation of Architecture Techniques for Fast Efficient loss
less Image Compression System', Wireless Personal Communications, Volume. 90, No. 3, pp. 1291-1315,
October 2016.
15. F.M. AiyshaFarzana, HameedhulArshadh. A, Sara Safreen. M, Dr. N. Muthukumaran, 'Design and Analysis
for Removing Salt and Pepper Noise in Image Processing', Indo-Iranian Journal of Scientific Research, Vol. 3,
No. 1, pp. 42-47, January 2019.
16. J. Keziah, N. Muthukumaran, 'Design of K Band Transmitting Antenna for Harbor Surveillance Radar
Application', International Journal on Applications in Electrical and Electronics Engineering, Vol. 2, No. 5, pp.
16-20, May 2016.
17. Dr. N. Muthukumaran, Dr. R. Joshua Samuel Raj, Arumugathammal. E, Karthika. N, Karthika. S,
Sangeetha. M, 'Design of Underground Mine Detecting Robot using Sensor Network', International Journal of
Emerging Technology and Innovative Engineering, Volume 5, Issue 7, pp. 519-524, July 2019.
18. Anil Lamba, "Uses Of Artificial Intelligent Techniques To Build Accurate Models For Intrusion Detection
System”, International Journal for Technological Research in Engineering, Volume 2, Issue 12, pp.5826-5830,
2015.
19. Anil Lamba, "Mitigating Zero-Day Attacks In IOT Using A Strategic Framework", International Journal for
Technological Research in Engineering, Volume 4, Issue 1, pp.5711-5714, 2016.
20. Anil Lamba, "Identifying & Mitigating Cyber Security Threats In Vehicular Technologies", International
Journal for Technological Research in Engineering, Volume 3, Issue 7, pp.5703-5706, 2016.
21. Anil Lamba, "S4: A Novel & Secure Method For Enforcing Privacy In Cloud Data Warehouses",
International Journal for Technological Research in Engineering, Volume 3, Issue 8, pp.5707-5710, 2016.
22. Anil Lamba, “Analysing Sanitization Technique of Reverse Proxy Framework for Enhancing Database-
Security”, International Journal of Information and Computing Science, Volume 1, Issue 1, pp.30-44, 2014.
23. VP. Anubala, N. Muthukumaran and R. Nikitha, „Performance Analysis of Hookworm Detection using Deep
Convolutional Neural Network‟, 2018 International Conference on Smart Systems and Inventive Technology
(ICSSIT), pp. 348-354, 2018, doi: 10.1109/ICSSIT.2018.8748645.
24. N. Muthukumaran and R. Ravi, 'The Performance Analysis of Fast Efficient Lossless Satellite Image
Compression and Decompression for Wavelet Based Algorithm', Wireless Personal Communications, Volume.
81, No. 2, pp. 839-859, March 2015.
25. Jayaraman.G, Dr. N. Muthukumaran,Vanaja.A, Santhamariammal.R, 'Design and Analysis the Fire
Fighting Robot', International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 9,
pp. 690-695, September 2019.
26. Boselin Prabhu S. R. and Balakumar N., “Functionalities and Recent Real World Applications of
Biosensors”, International Journal of Computer Science & Communication Networks, Vol 6 Issue 5, pp. 211-
216.
27. Boselin Prabhu S. R. and Balakumar N., “A Research on Efficient Processor Design Structure with Reduced
Memory Gap”, International Journal of Research in Electronics and Computer Engineering, Vol. 4, Issue 4,
Oct-Dec 2016, pp. 158-164.
28. Boselin Prabhu S.R., Rajeswari P. and Dinesh Kumar A., “An Analytical Review of Fiber-Optic Sensors and
Biosensors, Journal of Engineering, Scientific Research and Applications, Volume 2, Issue 1, 2016, pp. 58-61.
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-1-January-2020
P a g e | 8907 Copyright ⓒ 2019Authors
29. Boselin Prabhu S.R., Balakumar N., Rajeswari P. and Dinesh Kumar A., “Wireless Electricity Transfer
Methodologies Using Embedded System Technology”, Journal of Engineering, Scientific Research and
Applications, Volume 2, Issue 1, 2016, pp. 81-89.
30. Boselin Prabhu S.R., Rajeswari P. and Dinesh Kumar A., “Analysis of Decentralized Clustering Hierarchy
for Highly Distributed WSN”, Journal of Engineering, Scientific Research and Applications, Volume 2, Issue 1,
2016, pp. 45-49.
31. Boselin Prabhu S. R., “Reliable Security Approach for Wireless Embedded Systems”, International Journal
of Emerging Technology and Innovative Engineering, Vol. 2, Issue 11, November 2016, pp. 402-406.
32. Boselin Prabhu S. R., “An Elaborative Literature of Hierarchical Clustering Methodologies for Dense
WSNs”, SK International Journal of Multidisciplinary Research Hub, Volume 3, Issue 11, November 2016, pp.
15-19.
33. R. Joshua Samuel Raj, T.Sudarson Rama Perumal, N.Muthukumaran, „Road Accident Data Analytics Using
Map – Reduce Concept‟, International Journal of Innovative Technology and Exploring Engineering, Volume-8,
Issue-11, pp. 1032- 1037, September 2019.
34. Banumathi.A, Banupriya.A, Niranjana.R, Jayaraman.G, Dr. N. Muthukumaran, 'Advanced Illumination
Measurement System in Highways', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 39-44,
January 2019.
35. Mrs. S. Murine Sharmili, Dr. N. Muthukumaran, 'Performance Analysis of Elevation & Building Contours
Image using K-Mean Clustering with Mathematical Morphology and SVM', Asian Journal of Applied Science
and Technology, Vol. 2, No. 2, pp. 80-85, April 2018.

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Investment Stratagem of It Employees

  • 1. Our Heritage ISSN: 0474-9030 Vol-68-Issue-1-January-2020 P a g e | 8900 Copyright ⓒ 2019Authors Investment Stratagem of It Employees M. Rani Subathra1 , Dr.S.Bulomine Regi2 , Dr. S. Anthony Rahul Golden3 1 Ph.D Research Scholar in Commerce Research Center, St. Mary’s College (Autonomous) Thoothukudi, affiliated to Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India 2 Assistant Professor of Commerce & Research Supervisor, St. Mary’s College (Autonomous), Thoothukudi affiliated to Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India. Email id: drregi23@gmail.com. 3 Assistant Professor of Commerce, St. Xavier’s College (Autonomous), Palayamkottai affiliated to Manonmaniam Sundaranar University, Tirunelveli. Email id: kvsrahul@gmail.com Abstract Saving and Investment are two key variables which play a significant role in economic growth, control of inflation, stability and promotion of employment especially in the context of developing countries. In general, to invest is to distribute money in the expectation of some benefit in the future. Actually, the present study identifies about the preferred investment avenues among IT investors from backward areas using their own self- assessment test. This paper analyse and found that IT sector employees consider more safety as well as good return on investment rather than taking risk, when compared to urban IT sector employees. Keywords: Investment, Savings, IT Sector, Rural, Urban, Profit, Risk and Return Introduction India is the world’s leading outsourcing destination, and offers an advanced ecosystem for foreign investors looking at the information technology (IT) sector. However, the IT sector is undergoing a critical transition phase as it adapts to the disruptions caused by automation and allied technologies popularly referred to as SMAC or social media, mobility, data analytics, and cloud computing. Here the employees from rural and urban cities are noted. Their perception is varying with respect to savings and their mode of investment. Technology professionals that have been laid off can participate in the country’s vibrant start up scene, while others will be available for employment with new market entrants. Meanwhile, the sector’s investment in new verticals, along with the upskilling of the domestic talent pool, will only strengthen the world-class infrastructure and service capabilities currently in place. Investment Option Available There are various number of financial instruments available today for investment purpose. The employee has to choose Proper Avenue among those available, depending upon their specific need, risk preference, and return that are expected. Objective and Scope of Study a. To know the investment preference of IT sector employees and working in Chennai city IT Companies.
  • 2. Our Heritage ISSN: 0474-9030 Vol-68-Issue-1-January-2020 P a g e | 8901 Copyright ⓒ 2019Authors b. To know the factor that are influencing their investment behavior of the employees. c. To analyze the pattern of investment and saving mode of investors. d. To analyze the problems that are faced by the investors. e. To know the mode of investments of the salaried respondents in various investment avenues. Review of Literature Ajith Kumar (2018) the study analysed the investment pattern of people in Bangalore city and Bhubaneswar & analysis of the study was undertaken with the help of survey method.Karthikeyan (2018) has conducted research on Small Investors Perception on Post office Saving Schemes and found that there was significant difference among the four age groups, in the level of awareness for kinas vikaspatra (KVP).Vinod Patil (2019) studied preferred investment avenues among salaried people with reference to Pune City, India. A sample size of 50 investors has been taken from the Pune City, India. The result of finding showed 60% investors were aware about the investment avenues whereas 40% were unaware.Research Design: This study is based on exploratory study as well as descriptive one. It is hence done to understand the investment pattern of the IT employees who are coming from Ruralbackgroundand their approach towards investment avenues.Sample Size: Sampling size is 82 for convenience i.e. 82employees who are not belongs to urban cities fill the questionnaire for this purpose.Sampling Technique: Sampling technique is the technique used to select the sample size. Stratified sampling technique used in this research. In this, Investors were taken according to the convenience of the research study. Sampling design: Since the information is to be taken from Investors, a questionnaire has prepared for knowing the investment pattern of IT employees.Data collection source: The study is based on both primary and secondary data. Observed Frequency: Gender Awareness Unawareness Total Percentage Male 30 8 38 78.94% Female 14 8 22 63.63% Total 44 16 60 73.33% (Source: Primary Data) Chi-Square Test: O E (O-E) (O-E)2 (O-E)2/E 30 27.86 2.14 4.57 0.1640 08 10.13 -2.13 4.53 0.4472 14 16.13 -2.13 4.53 0.2808 08 5.87 2.14 4.57 0.7785 Total 1.0593 Degree of freedom: v= (r-1) (c-1), v= (2-1) (2-1) , v= 1 Chi-square results in 1.0593 is less than the 0.05 level significance 3.841. So, Null hypothesis is accepted.
  • 3. Our Heritage ISSN: 0474-9030 Vol-68-Issue-1-January-2020 P a g e | 8902 Copyright ⓒ 2019Authors Conclusion: Hence it is concluded that there is no significant relationship between the Gender and the Investment awareness level. Degree of freedom: v= (r-1) (c-1), v= (5-1) (2-1), v= 4 Chi-square results 16.51 is greater than the 0.05 level significance 9.48. So, Null hypothesis is rejected. Conclusion:Hence it is concluded that there is significant relationship between the income level& awareness about the investments modes
  • 4. Our Heritage ISSN: 0474-9030 Vol-68-Issue-1-January-2020 P a g e | 8903 Copyright ⓒ 2019Authors Percentage wise monthly saving of salaried class people Saving Range No. of Respondents Percentage 10% to 20% 14 23% 21% to 30% 21 35% 31% to 40% 12 21% 41% to 50% 10 16% Above 50% 3 5% Total 60 100% (Source: Primary Data) Factors Influencing While Selecting Investment Avenues Sr. No Factors No. of Respondents Percentage 1. Safety 11 18.33 2. Liquidity 12 20.00 3. Tax Saving 14 23.33 4. Diversification 9 15.00 5. Affordability 7 11.67 6. Simplicity 7 11.67 Total 60 100% (Source: Primary Data) Objectives of the Investment Sr. No Factors No. of Respondents Percentage 1. Future Security 16 26.67 2. Good Returns 11 18.33 3. Liquidity 7 11.67 4. Capital Appreciation 5 8.33 5. Tax Savings 10 16.67 6. Children Career 10 16.66 7. Other 1 1.67 Total 60 100% (Source: Primary Data) Most Preferable Investment Modes
  • 5. Our Heritage ISSN: 0474-9030 Vol-68-Issue-1-January-2020 P a g e | 8904 Copyright ⓒ 2019Authors S. No Investment Avenues No. of Respondents Percentage 1. Stock Market 7 11.67 2. Bank Deposit 10 16.67 3. Real Estate 6 10.00 4. Mutual Funds 11 18.33 5. Metal ( Gold/Silver/Others) 5 8.33 6. Insurance 9 15.00 7. Commodity 2 3.33 8. Tax-Saving Schemes 6 10.00 9. Debt Market 3 5.00 10. Others 01 1.67 Total 60 100% (Source: Primary Data) Level of Risk Involved in the Investment Schemes Comparative Analysis of Review 7 10 6 11 5 9 2 6 3 10 10 20 30 40 50 Most Preferable Investment Options 0 10 20 30 40 50 60 Very High High Moderate Low Very Low
  • 6. Our Heritage ISSN: 0474-9030 Vol-68-Issue-1-January-2020 P a g e | 8905 Copyright ⓒ 2019Authors From the above statements of research that was conducted and based on the data that was collected it can be clearly stated that there is no relation between the gender and the level of awareness of different modes of investments. Further it is also observed that there is direct relationship between the income level and awareness of the different modes of investment. A person having a high level of income tends to have more knowledge about the different sources and avenues of investment that are available in the market. A person having more income will obviously tend to invest more money. Further bank deposit and mutual funds are the most preferred sources of investments by the IT investors from rural areas. Every respondent feels that there is high level of risk in investments. Suggestions Mutual fund is also found as most favoured option by the IT employees today. Investment in mutual funds through the way of Systematic Investment Plan (SIP) is a favoured investment option by the youngsters. Awareness programs have to be conducted by stock broking firms, because most of the respondents i.e. investors are thinking that these avenues are loss making and doesn’t have no good return on it. Hence this study concluded that most of the investors prefer secured regular income on investment rather than taking risk. Conclusion The study has made an attempt to analyse the savings and investment pattern of IT investors.The data analysis of research reveals that the safety mode is concerned as important factor while doing investment, so remaining avenues are found less considerable while doing investment by investors. Questions like why people to save and what make them not to invest are also analysed in-depth and interpreted. Especially in a city like Chennai where Real estate is always on the high preference, but there is no fixed return and the risk and amount of investment is high.It is absolutely essential and needed to save earned income, to have a plan for future, and to resist the spending funds that already owned. References 1. Sultana, ST. 2010. An empirical study of Indian individual investor‟s behavior. Global Journal of Finance and Management.2 (1) :19-33.12. 2. P. Venkateswari, E. JebithaSteffy, Dr. N. Muthukumaran, 'License Plate cognizance by Ocular Character Perception', International Research Journal of Engineering and Technology, Vol. 5, No. 2, pp. 536-542, February 2018. 3. N. Muthukumaran, Mrs R.Sonya, Dr. Rajashekhara and V. Chitra, 'Computation of Optimum ATC Using Generator Participation Factor in Deregulated System', International Journal of Advanced Research Trends in Engineering and Technology, Vol. 4, No. 1, pp. 8-11, January 2017. 4. B. Renuka, B. Sivaranjani, A. Maha Lakshmi,Dr. N. Muthukumaran, 'Automatic Enemy Detecting Defense Robot by using Face Detection Technique', Asian Journal of Applied Science and Technology, Vol. 2, No. 2, pp. 495-501, April 2018. 5. Anil Lamba, "Uses Of Cluster Computing Techniques To Perform Big Data Analytics For Smart Grid Automation System", International Journal for Technological Research in Engineering, Volume 1 Issue 7, pp.5804-5808, 2014. 6. Anil Lamba, “Uses Of Different Cyber Security Service To Prevent Attack On Smart Home Infrastructure", International Journal for Technological Research in Engineering, Volume 1, Issue 11, pp.5809-5813, 2014. 7. Anil Lamba, "A Role Of Data Mining Analysis To Identify Suspicious Activity Alert System”, International Journal for Technological Research in Engineering, Volume 2 Issue 3, pp.5814-5825, 2014.
  • 7. Our Heritage ISSN: 0474-9030 Vol-68-Issue-1-January-2020 P a g e | 8906 Copyright ⓒ 2019Authors 8. Anil Lamba, "To Classify Cyber-Security Threats In Automotive Doming Using Different Assessment Methodologies”, International Journal for Technological Research in Engineering, Volume 3, Issue 3, pp.5831- 5836, 2015. 9. Anil Lamba, “A Study Paper On Security Related Issue Before Adopting Cloud Computing Service Model”, International Journal for Technological Research in Engineering, Volume 3, Issue 4, pp.5837-5840, 2015. 10. N. Muthukumaran, 'Analyzing Throughput of MANET with Reduced Packet Loss', Wireless Personal Communications, Vol. 97, No. 1, pp. 565-578, November 2017. 11. R. Sudhashree, N. Muthukumaran, 'Analysis of Low Complexity Memory Footprint Reduction for Delay and Area Efficient Realization of 2D FIR Filters', International Journal of Applied Engineering Research, Vol. 10, No. 20, pp. 16101-16105, 2015. 12. F.M.AiyshaFarzana, HameedhulArshadh. A, Ganesan. J, Dr. N. Muthukumaran, 'High Performance VLSI Architecture for Advanced QPSK Modems', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 45-49, January 2019. 13. A.Srinithi, E.Sumathi, K.Sushmithawathi, M.Vaishnavi, Dr. N. Muthukumaran, 'An Embedded Based Integrated Flood Forecasting through HAM Communication', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 63-67, January 2019. 14. N. Muthukumaran and R. Ravi, 'Hardware Implementation of Architecture Techniques for Fast Efficient loss less Image Compression System', Wireless Personal Communications, Volume. 90, No. 3, pp. 1291-1315, October 2016. 15. F.M. AiyshaFarzana, HameedhulArshadh. A, Sara Safreen. M, Dr. N. Muthukumaran, 'Design and Analysis for Removing Salt and Pepper Noise in Image Processing', Indo-Iranian Journal of Scientific Research, Vol. 3, No. 1, pp. 42-47, January 2019. 16. J. Keziah, N. Muthukumaran, 'Design of K Band Transmitting Antenna for Harbor Surveillance Radar Application', International Journal on Applications in Electrical and Electronics Engineering, Vol. 2, No. 5, pp. 16-20, May 2016. 17. Dr. N. Muthukumaran, Dr. R. Joshua Samuel Raj, Arumugathammal. E, Karthika. N, Karthika. S, Sangeetha. M, 'Design of Underground Mine Detecting Robot using Sensor Network', International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 7, pp. 519-524, July 2019. 18. Anil Lamba, "Uses Of Artificial Intelligent Techniques To Build Accurate Models For Intrusion Detection System”, International Journal for Technological Research in Engineering, Volume 2, Issue 12, pp.5826-5830, 2015. 19. Anil Lamba, "Mitigating Zero-Day Attacks In IOT Using A Strategic Framework", International Journal for Technological Research in Engineering, Volume 4, Issue 1, pp.5711-5714, 2016. 20. Anil Lamba, "Identifying & Mitigating Cyber Security Threats In Vehicular Technologies", International Journal for Technological Research in Engineering, Volume 3, Issue 7, pp.5703-5706, 2016. 21. Anil Lamba, "S4: A Novel & Secure Method For Enforcing Privacy In Cloud Data Warehouses", International Journal for Technological Research in Engineering, Volume 3, Issue 8, pp.5707-5710, 2016. 22. Anil Lamba, “Analysing Sanitization Technique of Reverse Proxy Framework for Enhancing Database- Security”, International Journal of Information and Computing Science, Volume 1, Issue 1, pp.30-44, 2014. 23. VP. Anubala, N. Muthukumaran and R. Nikitha, „Performance Analysis of Hookworm Detection using Deep Convolutional Neural Network‟, 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 348-354, 2018, doi: 10.1109/ICSSIT.2018.8748645. 24. N. Muthukumaran and R. Ravi, 'The Performance Analysis of Fast Efficient Lossless Satellite Image Compression and Decompression for Wavelet Based Algorithm', Wireless Personal Communications, Volume. 81, No. 2, pp. 839-859, March 2015. 25. Jayaraman.G, Dr. N. Muthukumaran,Vanaja.A, Santhamariammal.R, 'Design and Analysis the Fire Fighting Robot', International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 9, pp. 690-695, September 2019. 26. Boselin Prabhu S. R. and Balakumar N., “Functionalities and Recent Real World Applications of Biosensors”, International Journal of Computer Science & Communication Networks, Vol 6 Issue 5, pp. 211- 216. 27. Boselin Prabhu S. R. and Balakumar N., “A Research on Efficient Processor Design Structure with Reduced Memory Gap”, International Journal of Research in Electronics and Computer Engineering, Vol. 4, Issue 4, Oct-Dec 2016, pp. 158-164. 28. Boselin Prabhu S.R., Rajeswari P. and Dinesh Kumar A., “An Analytical Review of Fiber-Optic Sensors and Biosensors, Journal of Engineering, Scientific Research and Applications, Volume 2, Issue 1, 2016, pp. 58-61.
  • 8. Our Heritage ISSN: 0474-9030 Vol-68-Issue-1-January-2020 P a g e | 8907 Copyright ⓒ 2019Authors 29. Boselin Prabhu S.R., Balakumar N., Rajeswari P. and Dinesh Kumar A., “Wireless Electricity Transfer Methodologies Using Embedded System Technology”, Journal of Engineering, Scientific Research and Applications, Volume 2, Issue 1, 2016, pp. 81-89. 30. Boselin Prabhu S.R., Rajeswari P. and Dinesh Kumar A., “Analysis of Decentralized Clustering Hierarchy for Highly Distributed WSN”, Journal of Engineering, Scientific Research and Applications, Volume 2, Issue 1, 2016, pp. 45-49. 31. Boselin Prabhu S. R., “Reliable Security Approach for Wireless Embedded Systems”, International Journal of Emerging Technology and Innovative Engineering, Vol. 2, Issue 11, November 2016, pp. 402-406. 32. Boselin Prabhu S. R., “An Elaborative Literature of Hierarchical Clustering Methodologies for Dense WSNs”, SK International Journal of Multidisciplinary Research Hub, Volume 3, Issue 11, November 2016, pp. 15-19. 33. R. Joshua Samuel Raj, T.Sudarson Rama Perumal, N.Muthukumaran, „Road Accident Data Analytics Using Map – Reduce Concept‟, International Journal of Innovative Technology and Exploring Engineering, Volume-8, Issue-11, pp. 1032- 1037, September 2019. 34. Banumathi.A, Banupriya.A, Niranjana.R, Jayaraman.G, Dr. N. Muthukumaran, 'Advanced Illumination Measurement System in Highways', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 39-44, January 2019. 35. Mrs. S. Murine Sharmili, Dr. N. Muthukumaran, 'Performance Analysis of Elevation & Building Contours Image using K-Mean Clustering with Mathematical Morphology and SVM', Asian Journal of Applied Science and Technology, Vol. 2, No. 2, pp. 80-85, April 2018.