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IRJET- Portfolio Management of Builders
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 6896 Portfolio Management of Builders Gaurav Desai1, Sanjay Sayankar2 1Assistant Professor, Department of Civil engineering, School of Engineering and Technology, Sandip University, Nashik, India 2Post graduate student, Department of Civil engineering, School of Engineering and Technology Sandip University, Nashik, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - When a construction company invests in a variety of projects, the combination can be viewed as a portfolio of projects. Such a portfolio is efficient if the contractor can diversify the projects. It is important to recognize that investment in construction projects differs somewhat from those in securities. Key Words: Portfolio of projects, diversification, recognize investments in projects. 1. INTRODUCTION Portfolio management is a dynamic decision process, whereby a business’s list of active new product (R&D) projects is constantly up-dated and revised. In this process, new projects are evaluated, selected and prioritized, existing projects may be accelerated or killed, and resources are allocated and reallocated to the active projects. The portfolio decision process is characterized by uncertain and changing information, dynamic opportunities, multiple goals, strategic considerations, interdependence among projects, multiple decision makers and locations. 2. METHODOLOGY 2.1. Accounting Rate of Return (ARR) ARR- it is also known as Average Rate of Return. it is a financial ratio used in capital budgeting without considering time value of money. ARR calculates the return, generated from net income of the proposed capital investment. ARR is calculated as ×100 And net profit = ∑ net income or gain - ∑net outcome or expenditure. Identifying critical risk elements based on its Impact and Occurrence on a 5-point scale Occurrence 5 5 10 15 20 25 4 4 8 12 16 20 3 3 6 9 12 15 2 2 4 6 8 10 1 1 2 3 4 5 1 2 3 4 5 Impact
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 6897 2.2. Identifying critical risk elements Table 1: Combined risk with percentage and significance Flow Chart showing the research methodology 3. DATA Collection The source of data for the purpose of study will be both primary and secondary: Primary Data: The data provided by the firm/ individual was been analyses by using Investment year and Portfolio interest rate determine the net returns. Secondary Data: the data is used in this study is of secondary nature. the data collected from source such as web sites, journals and bank. Conclusion Results & Discussion Data analysis by ARR Identifying critical risk elements Data Collection from Bhagyashree Developers Bhagyashree Buildwell K S Developers Identification of sources for the data collection Combined Risk Percentage Significance 20-25 75-100 Very High Risk 10-20 45-75 Medium Risk 5-10 20-45 Low Risk 1-5 1-20 Very Low Risk
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 6898 Table 2: Returns from Business (Bhagyashree Developers) Table 3: Returns from Business (Bhagyashree Buildwell Pvt Ltd)
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 6899 Table 4: Returns from Business (K S Developers) 4. DATA ANALYSIS ARR Calculations: 1. ARR of real estate residential business from table 2 2.1. ARR of real estate residential business from table 3 2.2. ARR of real estate commercial business from table 3 3. ARR of real estate residential business from table 4 5. RESULTS AND DISCUSSIONS We have analyzed the three various firms as follows: 1. Bhagyashree Developers 2. Bhagyashree Buildwell Pvt. Ltd.
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 6900 3. K S Developers As per the ARR calculations and the data available from the firms it seen that the ARR for the given above firms is as below: 1. ARR = 145.161% 2. ARR = 113.154% 3. ARR = 201.356% We have also determined the risk for the firms in their project involved: 1. Low Risk for Bhagyashree Developers: The reason for low risk in the firm is basically if there is a small project and that too a residential one there are only a few parameters to look out so the risk involved in such projects is very low. 2. Medium Risk for Bhagyashree Buildwell Pvt. Ltd.: The reason for medium risk in the firm is because it is a residential as well as commercial project, so there are many factors to be taken into consideration and many parameters to look out so the risk involved in such projects is medium. 3. Medium Risk for K S Developers: The reason for medium risk in the firm is because it is a residential project which is on the large scale so there are many factors to be taken into consideration and many parameters to look out so the risk involved in such projects is medium. The above results give us an idea about where to invest and how much to invest and in what it should invest. It is seen that that the best investment strategies which maximizes net returns. The returns based on their studies and area.It also gives the associated probable risk involved and how to mitigate the risk.The parameters required for portfolio design are evaluated such as risk, period of investment, returns, strategy for investing, different portfolios etc.Basically, it helps us to decide according to the risk in which project the investment should be made. 6. CONCLUSIONS It is seen that that authors have found out the best investment strategies which maximizes net returns. Some authors have formulated the returns based on their studies and area. Research authors have also found associated probable risk involved and how to mitigate the risk. The parameters required for portfolio design are evaluated such as risk, period of investment, returns, strategy for investing, different portfolios etc. The study helps in determining the risk-return characteristics for various businesses and the outcome of the results gives the best strategy for the firm/company where to invest the money. How much to invest? What are probable risk factors associated with the investment to be made? What is the significance of the risk? In short instead of making investment blindly the study gives the concrete decision for investment which is ultimately beneficial for firm/company to maximize net profit. REFERENCES [1] Cooper, R.G. & Kleinschmidt, E.J., “Benchmarking firms’ new product performance and practices”, Engineering Management Review, 23,3, Fall 1995. [2] Cooper, R.G. & Kleinschmidt, E.J., “Winning businesses in product development: Critical success factors”, Research- Technology Management, July-August 1996. [3] Day, G.S., “Diagnosing the product portfolio,” Journal of Marketing, 1977, pp. 29-38.12. [4] Evans, P., “Streamlining formal portfolio management”, Scrip Magazine, February, 1996. [5] Faulkner, T, “Applying “options thinking” to R&D valuation”, Research-Technology Management, 39:139-146, 1988. [6] F. S. Hillier and G. J. Lieberman. Introduction to Operations Research. Industrial Engineering Series. McGraw-Hill International Editions, sixth edition, 1995. [7] Graves, S.B., Ringuest J.L. and Case, R.H., “Formulating optimal R&D portfolios”, Research-Technology Management, 43:3, 2000. [8] Griffin, A., “PDMA research on new product development practices: Updating trends and benchmarking best practices”, Journal of Product Innovation Management, 14:429-458, 1997. [9] Hall, D.L. and Naudia, A., “An interactive approach for selecting IR&D projects”, IEEE Transactions on Engineering Management, 37:126-133, 1990.
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