Quantitative analysis (QA) in finance is an approach that emphasizes mathematical and statistical analysis to help determine the value of a financial asset, such as a stock or option. Quantitative trading analysts (also known as "quants") use a variety of data—including historical investment and stock market data—to develop trading algorithms and computer models.
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Problem Introduction
• Construction of Equity portfolio with Rs. 10 Lakh containing 10 stocks selected
from 15 stocks
• 15 stocks are selected by using Delphi Method and
• Out the 15 selected stocks 10 should be Large Cap and 5 should be mid Cap
stocks
• At least 5 large cap and 3 mid cap stocks must be part of the portfolio
• At least 6.5 Lakhs to be invested in large cap stocks (>= 65%)
• At least 2 lakhs to be invested in mid stocks (>= 20%)
• All funds are to be invested for a period of 30 years
• No switch between stocks in allowed during the period of 30 years
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Methodology
1. Selecting 15 stocks based on Delphi method, Heuristics
2. Calculating yearly returns for the 15 selected stocks
3. Using the Return(Mean) and risk (Std. Dev.) for simulation of
returns for the next 30 years
4. Forming the Linear programming equation for maximization of
returns.
5. Applying various constraints as per the problem definition to
maximization of return
6. Calculation of overall returns and portfolio returns
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Selected Stocks
Sr. No Company Name Size
Historical
Returns
(10 Years)
Historical
Risks
(10 Years)
1 Eicher Motors Large 0.7868038 0.650164346
2 Kotak Mahindra Bank Large 0.3075782 0.36770514
3 MRF Large 0.5257487 0.615998476
4 Balkrishna Industries Large 0.6219221 0.777776877
5 TCS Large 0.314042 0.471978505
6 Natco Large 0.5293815 0.672489971
7 Bosch Large 0.2640151 0.375577924
8 Dr Reddy Large 0.2364526 0.43692798
9 HDFC Large 0.1967285 0.222159787
10 HDFC Bank Large 0.2739559 0.223778391
11 Divis Lab Mid 0.4009718 0.551633959
12 Escorts Mid 0.57276 0.939241288
13 Pfizer Mid 0.2253158 0.367372493
14 Exide Mid 0.2203103 0.453193568
15 Voltas Mid 0.2219007 0.795116252
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• Assuming returns to be constant
• As we know Present Value (PV) and Time period (n) is constant
i.e. 10 lakhs, n is 30 years.
• Therefore
Setting the Objective functions
max(𝐹𝑉) = max(𝑃𝑉 1 + 𝑟 𝑛
)
max 𝐹𝑉 = 10 lakhs X max( 1 + 𝑟 30
)
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Constraints - Linear Programming
No. of Large Cap Stocks 7 >= 5
No. of Mid Cap Stocks 3 >= 3
Investment in Large 700000 >= 650,000
Investment in Mid 300000 >= 200,000
Constraints
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Simulation Results
CAGR = 55%
Market Cap Company Present Value Future Value
Return
Based on
Simulation
Weight
Weighted
Return
Eicher Motors 200000 543,707,098,269 64% 0.2 12.77%
Kotak Mahindra Bank 50000 70,654,973 27% 0.05 1.37%
MRF 50000 364,852,335 35% 0.05 1.73%
Balkrishna Industries 200000 75,296,536 22% 0.2 4.37%
TCS 50000 20,646,746 22% 0.05 1.11%
Natco 100000 68,360,924 24% 0.1 2.43%
HDFC Bank 50000 72,507,029 27% 0.05 1.37%
Voltas 50000 7,709,935 18% 0.05 0.91%
Escorts 200000 3,278,146,864 38% 0.2 7.64%
Pfizer 50000 8,401,681 19% 0.05 0.93%
1000000 547,673,675,294 55% 35%
Large Cap
Mid Cap
Total
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Visualization
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Visualization
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Visualization
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Assumptions
• All earnings such as Dividends are not considered.
• Returns will follow a historic trend
• No issue of new shares/rights takes place during the period of 30
years
• All 10 Companies continue to operate for the next 30 years
• Return of a stock is normally distributed
• Factors like economic changes, government rules and regulations
will not affect Equity risks and returns.
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Limitations
• Limited availability of resources i.e. Rs. 10 Lakhs
• All investments are made according to the historical risks and
returns.
• Does not provide a holistic view of the Equity market (Returns are
maximized considering only 15 stocks)