Portfolio Management: Choosing Companies and Efficient Frontier

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This article discusses the companies to choose for a portfolio and the efficient frontier for risk and return. It explains the reasons for choosing BP Plc, BHP Billiton Plc, Holders Technology Plc and Phoenix group holdings. It also covers the mean return of each stock using CAPM and the covariance and correlation between the stocks. The article concludes with an explanation of why Holders Technology Limited and Phoenix Holdings Ltd are worth investing in compared to the others.

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PORTFOLIO MANAGEMENT 1
Financial Market and Portfolio Management
Student’s Name
Institutional Affiliation

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PORTFOLIO MANAGEMENT 2
Section 1
Background Information About the Companies and the Reason for Choosing Them
The companies that I may choose to include in my portfolio are BP Plc, BHP Billiton Plc,
Holders Technology Plc and Phoenix group holdings. First, BP Plc is a multinational oil and gas
company in London, England which was founded in 1908 as an Anglo-Persian oil company. The
company is the world's seventh-largest oil and gas producer and by market capitalization, it is
considered the sixth largest in the world. By 2017, the corporation had branches in over 70
countries worldwide and it produces 3.6 million barrels of oil daily. BP Plc is performing well
from the look of its financial statements since in 2017, the company's revenue increased to
$240.208 billion, its operating income increased to $9.474 billion, its net income rose to $3.389
billion, its total assets inclined to $276.515 billion and its total equity rose to $100.404 billion
(BP PLC, 2018, n.d.). Ultimately, the current share price of BP Plc is $575.69 and it pays a
dividend of $0.595. The primary reason for choosing this stock is because the oil and gas sector
is considered the most profitable to invest in.
Second, BHP Billiton Plc is a multinational mining, petroleum, and metals company in
Melbourne, Australia that is traded on the London Securities Exchange (LSE) with ticker symbol
BLT. The company was founded in 1885 as a result of a merger between BHP and Billiton.
Currently, it is ranked as the largest mining corporation in the world by market capitalization. Its
main products are iron ore, petroleum, coal, copper, nickel, natural gas, and uranium. Likewise,
BHP Billiton Plc has been performing well since, in 2017, the company achieved a revenue of
$38.285 billion, an operating income of $11.753 billion and a net income of $6.222 billion. Its
share price currently ranges at $1,731.50, and it paid a dividend of $55 as at 8th March 2018
(BHP Billiton PLC, 2018, n.d.). The main reason for choosing this stock is that it is a performing
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PORTFOLIO MANAGEMENT 3
stock since its financial statements have been favorable. Besides, its stock price is still inclining
which was a factor I considered when choosing this stock.
Third, Holders Technology plc is a company that was incorporated in 1983 in the United
Kingdom to manufacture specialty laminates and materials for a printed circuit board (PCB)
manufactures and operates as a light emitting diode (LED) solutions provider to the lighting and
industrial markets. The company is traded on the LSE with ticker symbol HDT. When compared
to its competitors, it may not be the best but it has an average return. Ideally, the company is
performing well since it realized a revenue of $12.21 million and a net income of $59,000
(Holders Technology, 2018, n.d.). Ideally, its current share price is $43.50 and it pays a dividend
of $0.50. The primary reason for choosing this company is the fact that it has one of the lowest
stock prices and it has the possibility of inclining in the future. Besides, being in the technology
industry gives my portfolio an edge.
Lastly, Phoenix group holdings is a company in London, U.K. that was founded in 1857
by Henry Staunton with an aim of providing insurance services. The company is considered to be
the largest provider of insurance services in the United Kingdom which is evident by the fact that
it is grouped in FTSE 250 index. The firm has been performing well since in 2017, it achieved a
revenue of £6,089 billion and an operating income of £125 million. However, in that same year,
the company realized a net loss from its operations of -£27 million. Currently, Phoenix group
holdings have a share price of $775 and it pays a dividend of $50.60 (Phoenix Holdings Limited,
2018, n.d.). The main reason of choosing this company is that it is the leading company in the
insurance sector in the United Kingdom and despite its financials looking bad, it pays a high
dividend than many companies in the same industry.
The Daily Mean Return and Standard Deviations of Each Company
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PORTFOLIO MANAGEMENT 4
From the analysis done in Excel, BP Plc has a daily mean return of $34.86 and a standard
deviation of $4.45, BHP Billiton Plc has a daily mean return of $37.48 and a standard deviation
of $6.50, Holders Technology Plc has a daily mean return of $66.49 and a standard deviation of
$11.20 and Phoenix Holdings Ltd has a daily mean return of $1887.93 and a standard deviation
of $59.07 (Aouni, Colapinto and La Torre, 2014, p.537).
Covariance and Correlation Between the Stocks
The covariance of the four company stocks is shown below.
BP BHP HK PHOE.TA
BP 19.79894
BHP 26.15578 42.29401
HK 38.05058 63.86046 125.4347
PHOE.TA 974.3224 1379.943 2218.915 213678
The correlation of the four company stocks is depicted in the table below.
BP BHP HK PHOE.TA
BP 1
BHP 0.903873 1
HK 0.806786 0.901942 1
PHOE.TA 0.624832 0.546608 0.430406 1
Correlation and covariance measure how random variables associate or differ from each
other. From the correlation table above, there is no correlation between BP Plc and the other
companies. Furthermore, there is no correlation between Phoenix Holdings Ltd with the other
companies (Beach and Orlov, 2007, p.148). A correlation of close to 1 would mean that the
company stocks have a close association with each other like it is evident between BP and BHP,
BP and HK, and BHP and HK. However, a correlation of close to zero or none would mean that
the company stocks differ from each other like what is evident between Holders Technology
Limited and Phoenix Holdings Ltd.

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PORTFOLIO MANAGEMENT 5
Computation of Beta
β= Covariance
Variance
BP= 0.90
( 4.45 ) 2 =0.05
BHP= 0.90
( 6.50 ) 2 =0.02
HK = 0.81
( 11.20 ) 2 =0.006
PHOE .TA= 0.43
( 59.07 ) 2 =0.0001
From the analysis above, BP Plc has a beta of 0.05, BHP Billiton Plc has a beta of 0.02,
Holders Technology Ltd has a beta of 0.006 and Phoenix Holdings Ltd has a beta of 0.0001.
Ideally, a beta of greater that one would mean that the stock is aggressive and highly risky while
a beta of less than one would mean that a stock is less volatile and less risky. From the
computation of the beta of these stock, they have a low risk, thus favorable to a risk-averse
investor (Bodnar and Gupta, 2015, p.1177). This means that the stock of BP Plc is the most
volatile when compared to the other companies while that of Phoenix Holdings Limited is the
least volatile. A risk-averse investor would be advised to invest in a company with a low risk
while a risk taker would be recommended to invest in a firm with a high risk since he or she is
expected to get greater returns from his or her investment while the risk-averse investor would
get minimal returns in the long run.
The Mean Return of Each Stock Using CAPM
When computing the mean return of a stock, the Capital Assets Pricing Model (CAPM)
formula is used as shown below.
=Rf + β ( ERmRf )
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PORTFOLIO MANAGEMENT 6
Here, the assumed risk-free rate is 2% while the FTSE all share market return is 6.47%.
Below is the calculation of the mean return of the four company stocks.
BP. =2 %+0.05 ( 6.47 %2 % ) =2.2235 %
BHP . =2 % +0.02 ( 6.47 %2 % )=2.0894 %
HK . =2 %+0.006 ( 6.47 %2% )=2.0268 %
PHOE . =2 %+ 0.0001 ( 6.47 %2% )=2.0004 %
According to the computation above of the CAPM of the four company stocks, BP Plc
has the highest expected return while Phoenix Holdings Limited is considered to have the lowest
expected return. Ideally, most investors are interested in a high return (Campbell, Lo, and
MacKinlay, 1997, p.150). However, a higher return would mean that the company stock
experiences a higher risk which a risk-averse investor tries to avoid when deciding the
combination of his or her portfolio (Chandra, 2017, n.d.). Below is a table showing the expected
returns and the actual returns of the four company stocks in order to determine whether they
were undervalued or overvalued. However, since it is difficult to find the expected returns of the
four company stocks, we will compare their expected returns with the FTSE all shares market
return. Apparently, a company stock is overvalued when the market return is higher than its
expected return and it is undervalued when the FTSE-all shares market return is lower than the
expected return (DeAngelo and Stulz, 2015, p.220). Consider the table below.
Company Actual return FTSE-all share
market return
Under/overvalued
BP 2.2235% 6.47% Overvalued
BHP 2.0894% 6.47% Overvalued
HK 2.0268% 6.47% Overvalued
PHOE.TA 2.0004% 6.47% Overvalued
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PORTFOLIO MANAGEMENT 7
From the analysis, the four company stocks are overvalued since the FTSE-all share
market return is more than their actual returns. Ideally, an investor would be advised to purchase
a company when it is undervalued and sell when it is overvalued since when undervalued, the
share price is usually at its lowest and when overvalued, the stock price is usually at its highest
(Ernst, Thompson and Miao, 2017, p.318).
Section 2
An Explanation to My Client Why the Two Company Stocks are Worth Investing When
Compared to the Others
Since the investor is risk averse, the two stocks are Holders Technology Limited and
Phoenix Holdings Ltd. This is because Holders Technology has a stock price of $43.50 despite it
having a low dividend payout of $0.5. Ideally, an investor would be advised to invest in a
company that has a low stock price and that is expected to rise than a company with a very large
share price which has no chances of rising (Francs, Jorion, Rudolf, Stucki, Stulz and Yermack,
2006, n.d.). Moreover, Holders Technology Limited has one of the lowest betas when compared
to the other company stocks which means that it possesses a low risk.
The risk-averse investor should invest in Phoenix Holdings Limited since it pays a
dividend of $50.60 which is a major interest of all shareholders. Additionally, it is the largest in
the insurance industry with one of the lowest betas which means that it possesses a low risk, thus
favorable to a risk-averse investor. Despite its share price is high, it is expected that it would
continue inclining into the foreseeable future (Johannes, 2017, p.486).

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PORTFOLIO MANAGEMENT 8
The Graphical Combinations of Risk and Return for Portfolios Comprising the Two stocks
(i.e. the Efficient Frontier)
0% 25% 50% 75% 100% 125% 150%
0%
20%
40%
60%
80%
efficient frontier assets
risk
return
Using Excel solver, an efficient frontier was developed between the risk and return of
Holders Technology Limited and Phoenix Holdings Limited. Ideally, Holders Technology
Limited has a return of 66.49% and a risk or standard deviation of 11.20% while Phoenix
Holdings Limited has a market return of 1887.93% and a risk or a return of 59.07% (Lorig, and
Sircar, 2016, p.419). From this, it is evident that Holders technology limited has a lower risk and
a lower return while Phoenix Holdings Limited has a higher risk and a higher return, thus
satisfying the notion of the higher the risk of a portfolio or asset the higher the return that would
be realized from such a portfolio or asset. Investing in the two assets or company stocks would
be beneficial for the risk-averse investor since it would help in risk diversification (Maillet,
Tokpavi, and Vaucher, 2015, p.290). This means that investing in a highly risky portfolio or
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PORTFOLIO MANAGEMENT 9
asset together with the one that has a low risk would help neutralize or reduce the risk, thus the
risk-averse investor would not lose his or her invested money. From the efficiency frontier curve,
it is evident that only the stock of Holders Technologies Limited is within the efficient frontier
line and thus it would imply that Phoenix Holdings Limited is not an efficient asset.
An Identification of the Portfolio Mix with Minimum-Variance, the Risk, and Return of
That Portfolio and Meaning of a Minimum Variance Portfolio
The proportion that would help minimize risk include a proportion of 53.72% of Holders
Technology Limited and a proportion of 46.28% for Phoenix Technology Limited. Using this
proportion, the risk-averse investor would be able to maximize his or her return despite being
little, at the same time reducing his or her risk (Nguyen, Gordon-Brown, Khosravi, Creighton,
and Nahavandi, 2015, p.657). Consider the table below.
HK 0.5372
PHOE.TA 0.4628
Total 1.0000
A minimum variance portfolio is a well-diversified portfolio that has some risky assets
and some not risky which help attain a lower risk given the expected or anticipated return by the
risk-averse client. From this, if the risk-averse client invested 53.72% of Holders Technology
Limited in the portfolio and 46.28% of Phoenix Holdings Limited in portfolio A, he or she would
be able to diversify his or her risk by reducing it while at the same time realizing the anticipated
return from the portfolio (Saunders and Thomas, 1997, n.d.). Consider the optimized table below
which presents the minimum variance portfolio for portfolio A.
Minimum variance portfolio
Weight of HK 1.038
Weight of PHOE.TA -0.038
Exp ret -0.029
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PORTFOLIO MANAGEMENT 10
Std Dev 0.110
However, if the risk-averse client uses the risk computed previously, that is, he or she
invests 53.72% of Holders Technology Limited in his or her portfolio and 46.28% of Phoenix
Holdings Limited, the risk would be so high since the risk-averse client would realize a risk of
17.26% as computed using the Excel Solver. Therefore, an analysis of the minimum variance
portfolio above shows that the risk-averse investor should invest a considerable amount of his or
her funds in HK as seen above (Titman, Keown and Martin, 2017, n.d.). However, that would
result in a negative expected return of -2.9% and a risk of 11% in the short run. In the long run, it
is expected that the expected return of the risk-averse client would rise and so would the risk of
this client from investing in portfolio A.
The Best Portfolio, the Weighting of Each Stock in the Portfolio, the Portfolio Mean Return
and the Standard Deviation
Bordered Covariance Matrix for Target Returns
Matrix
HK PHOE.TA
Weights 0.97 0.220
0.9700 118.03 75.91
0.0300 10.35 23.03
1.0000 128.38 98.94
Port Var 227.32
Port S.D. 15.1
Port Mean 121.1
The risk-averse client expects to get an annual return of 15% from the portfolio. This may
be considered as the risk or standard deviation. According to the table above, if the risk-averse
client expects to get an annual return of 15%, he or she would have to invest 97% of his or her

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PORTFOLIO MANAGEMENT 11
funds in Holders Technology Limited and 22% of his or her funds in Phoenix Holdings Limited
(Wipplinger, 2007, p.397). From the analysis of the minimum variance portfolio of the client, he
or she would be able to achieve a portfolio variance of 227.32%, a portfolio standard deviation of
approximately 15% and a portfolio mean of 121.1 as seen in the table above.
An Estimation of the Sharpe Ratio of Portfolio A and An Explanation of the Use of the
Sharpe Ratio to My Client
The Sharpe ratio measures the risk-adjusted return of a portfolio using its standard
deviation (Yang, Couillet, and McKay, 2015, p.6685). It is computed by taking the return of the
portfolio minus the risk-free rate and then divided by the standard deviation of the portfolio.
Consider the computation below.
S h arpe ratio= RpRf
δp
Given that the standard deviation of the portfolio is 23.86%, a risk-free rate of 2% and a
portfolio return of 4.79% which have been computed in Excel, the Sharpe ratio of portfolio A
can be computed as shown below.
S h arpe ratio= 4.79 %2 %
23.86 % =0.1169
From the computation above of the Sharpe ratio, if the risk-averse client invests in his or
her portfolio, given its expected return and risk, the risk-adjusted return would be 0.1169 as
shown above which means that he or she would be realizing a low risk and a low return.
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PORTFOLIO MANAGEMENT 12
References
Aouni, B., Colapinto, C. and La Torre, D., 2014. Financial portfolio management through the
goal programming model: Current state-of-the-art. European Journal of Operational
Research, 234(2), pp.536-545.
Beach, S.L. and Orlov, A.G., 2007. An application of the Black–Litterman model with
EGARCH-M-derived views for international portfolio management. Financial Markets
and Portfolio Management, 21(2), pp.147-166.
BHP Billiton PLC, 2018, About Us. [Online]. Available at https://www.bhp.com/
Bodnar, T. and Gupta, A.K., 2015. Robustness of the inference procedures for the global
minimum variance portfolio weights in a skew-normal model. The European Journal of
Finance, 21(13-14), pp.1176-1194.
BP PLC, 2018, About Us. [Online]. Available at http://www.bp.com/
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(Vol. 2, pp. 149-180). Princeton, NJ: Princeton University Press.
Chandra, P., 2017. Investment analysis and portfolio management. McGraw-Hill Education.
DeAngelo, H. and Stulz, R.M., 2015. Liquid-claim production, risk management, and bank
capital structure: Why high leverage is optimal for banks. Journal of Financial
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Ernst, P.A., Thompson, J.R. and Miao, Y., 2017. Tukey’s transformational ladder for portfolio
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Francs, S., Jorion, F.L., Rudolf, M., Stucki, T., Stulz, R. and Yermack, D., 2006. Financial
Markets and Portfolio Management.
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PORTFOLIO MANAGEMENT 13
Holders Technology, 2018, About Us. [Online]. Available at
https://ww2.holderstechnology.com/
Johannes, R.L., 2017. Methods and systems for computing trading strategies for use in portfolio
management and computing associated probability distributions for use in option
pricing. U.S. Patent Application 15/369,486.
Lorig, M. and Sircar, R., 2016. Portfolio optimization under local-stochastic volatility:
Coefficient Taylor series approximations and implied Sharpe ratio. SIAM Journal on
Financial Mathematics, 7(1), pp.418-447.
Maillet, B., Tokpavi, S. and Vaucher, B., 2015. Global minimum variance portfolio optimization
under some model risk: A robust regression-based approach. European Journal of
Operational Research, 244(1), pp.289-299.
Nguyen, T.T., Gordon-Brown, L., Khosravi, A., Creighton, D. and Nahavandi, S., 2015. Fuzzy
portfolio allocation models through a new risk measure and fuzzy Sharpe ratio. IEEE
Transactions on Fuzzy Systems, 23(3), pp.656-676.
Phoenix Holdings Limited, 2018, About Us. [Online]. Available at
https://www.reuters.com/finance/stocks/company-profile/PHOE1.TA
Saunders, A. and Thomas, H., 1997. Financial institutions management. Boston: Irwin.
Titman, S., Keown, A.J. and Martin, J.D., 2017. Financial management: Principles and
applications. Pearson.
Wipplinger, E., 2007. Philippe Jorion: Value at Risk-The New Benchmark for Managing
Financial Risk. Financial Markets and Portfolio Management, 21(3), p.397.
Yang, L., Couillet, R. and McKay, M.R., 2015. A robust statistics approach minimum variance
portfolio optimization. IEEE Transactions on Signal Processing, 63(24), pp.6684-6697.

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