Analysis of Stock Prices and Market Trends

The given document presents an in-depth analysis of stock prices and market trends from October 2, 2016, to June 25, 2017. The data is presented in a table format, showing daily high and low prices, closing prices, and volume data for each day. Additionally, the document includes correlation values between two variables, CORRELATION RIO and CORRELATION BXB, with values of -0.46 and -0.17, respectively.

Running head: INTERNATIONAL FINANCE
International finance
Name of the Student:
Name of the University:
Authors Note:

2INTERNATIONAL FINANCE
Table of Contents
PART A:.....................................................................................................................................3
Answer to question 1..................................................................................................................3
Answer to question 2..................................................................................................................3
Answer to question 3..................................................................................................................4
PART B:.....................................................................................................................................6
Answer to question 1..................................................................................................................6
Answer to question 2..................................................................................................................8
Reference..................................................................................................................................10
Appendices...............................................................................................................................12

3INTERNATIONAL FINANCE
PART A:
Answer to question 1.
The company is faced with a situation wherein it has an option of reinvesting its
excess funds back into Thailand which will yield returns at a higher rate of interest than what
the company will be earning if the amount is invested back in Australia i.e. its own country.
The interest rates on investments in Australia and Thailand are 8% and 15% respectively.
Apparently it might seem that it is reasonable to invest back the amount in Thailand but, the
company should factor in the fact that such high rates of interest suggest that the economic
condition of Thailand is uncertain (Borio et al. 2017). This uncertainty may lead to the
depreciation of Baht currency in the near future which will reduce the overall exchange rate
of the currency i.e. the company will get fewer amount of Australian Dollars in exchange of
same number of Baht. Hence, it is prudent that the company its excess funds in Australia at a
lower rates of interest than in Thailand.
Answer to question 2.
The company needs additional funds for the supporting its operations back in
Australia. If the company reinvests the excess amount earned in Thailand instead of remitting
it back to Australia, it will have to borrow additional funds at an interest rate of 10% back in
Australia. Further, if the value of Baht depreciates by 5%, which is very reasonably possible
sighting the uncertainty in its economy, the returns earned from Thailand will reduce to
9.25%. Further, the company will not be investing the excess funds at a return of 8% in
Australia (Avdjiev et al. 2016). Hence it is seen that the company reinvests the funds back in
Thailand it will have to incur extra debt expenditure for the additional funds raised via
borrowing and furthermore the return that s earned in Thailand will reduce in the near future
to 9.25%.

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Answer to question 3.
The following table shows the comparison between the two options presently before
the company. The company can either remit the excess funds earned by it back to Australia or
reinvest the funds into Thailand.
Plan 1: Investment in Thilan
Particulars
Calculation of revenue denominated in baht
Speedos price per pair
number of pair of speedos
Revenue in Baht
Cash Flow available in baht
Revenue in Baht
Cost of goods sold
Cash flow available in baht
Calculation of dollar receipt as baht is converted in dollar in one ye
Cash flow available in baht
Interest earned on baht for a one year period (15%)
Calculation of dollar receipt as baht is converted in dollar in one year
Cash flow available in baht
Interest earned on baht for a one year period (15%)
The conversion that will be made in one year
Expected spot rate in one year
Expected dollar receipt in a period of one year
Plan 2: Convert funds immediately
The conversion that will be made in one year
Expected spot rate in one year
Expected dollar receipt in a period of one year

5INTERNATIONAL FINANCE
It is clearly seen that if the company chooses the first plan then it will have an
earnings of $113821.38.
Answer to question 4.
Revised return on Investment in Thiland
Particulars
Calculation of revenue denominated in baht
Speedos price per pair
number of pair of speedos
Revenue in Baht
Cash Flow available in baht
Revenue in Baht
Cost of goods sold
Cash flow available in baht
Calculation of dollar receipt as baht is converted in dollar in one year
Cash flow available in baht
Interest earned on baht for a one year period (15%)
The calcuation above indicates that if the exchang value detoriates then plan 2 is more
benefecial.

6INTERNATIONAL FINANCE
PART B:
Answer to question 1.
a) RioTinto:
The company is engaged in the metals and mining operations. It is one of the largest
metal and mining corporations across the globe. The company was established in 1873 which
was the result of collective investment from multinational investors to acquire a mining
complex in Rio Tinto in Huelva in Spain (Schoenmaker 2017). The company thereafter went
for many mergers and acquisitions to become a leader I production of many commodities like
aluminium, uranium, iron ore, copper, coals and diamonds. Though the company is mainly
concerned with extraction of minerals the company is also part of many refining activities
especially refining of Bauxite and iron ore.
The company has its operations in China, United States of America, Japan, Europe
(excluding UK), Canada and many more countries collectively termed by the company as
other countries. The highest amount of revenue that the company generates outside of
Australia is from China (Cheung et al. 2017). The amount of revenue earned from China is
around 44.2% of the entire revenue of the company that amounts to US$17706 million in the
year 2017.

7INTERNATIONAL FINANCE
The main foreign exchange risk faced by the company is that the effects of many
different currencies of the countries in which it operates influence all its shareholders equity,
cash flows and earnings. The Canadian and Australian dollars are two most important
currencies influencing the costs of the company. In a given year the foreign exchange
fluctuations can have significant influence over the Rio Tinto’s financial results. The
strengthening of US Dollars against the currencies in which the group’s costs are partly
denominated is healthy for the group whereas the strengthening of the US Dollars reduces the
value of non US Dollars denominated currencies in which the group’s net assets are
denominated thereby reducing the total equity (Frisari and Stadelmann 2015).
In order to mitigate these risks the group reflects its financial performance in terms of US
Dollars as it is the most appropriate way to present the data of the company in a comparable
way. Borrowings and cash balances of the group are denominated in US Dollars while the
company holds the majority of debt and other financial assets and liabilities including
intragroup balances in the functional currency of its subsidiaries (Frieden and Lake 2015).
b) Brambles Limited:
The company is engaged in the operations of supply chain management and logistics. The
company specialises in accumulation of unit load equipment and ancillary services. The
company has concentrated its operations mainly in the field of outsourcing of pallets, crates
and containers (Kalaitzake 2017). The company is currently employing more than 14000
employees via 850 service centres across the globe.

8INTERNATIONAL FINANCE
The operational arena of the company is wide ranging. It operates in America,
Europe, Australia and many other countries referred to by the company as others. The highest
revenue that is generated for the company except from Australia is from America. The
revenue from America amounts to US$2755 million in the year 2017. This suggest the
significance of America in respect of the revenue generated for the company as the revenue
generated from America is even more than that generated from Australia (McCauley and
Schenk 2015).
The foreign exchange risk of the company is constituted by the fluctuations or risk
involved in the translation of the transactions into the functional currencies of the various
subsidiaries of the company or translation of the value of the assets and liabilities of overseas
subsidiaries denominated in their respective currency into the functional currency of the
entire group. For the purposes of eradicating the risks foreign exchange hedging is used by
the company when the risks crosses certain thresholds. In addition to this forward foreign
exchange are entered into by the company to manage the exposures (Clarida 2015). The
company also incurs the expenses and incomes in the local currencies in order to contain the
exposures within certain limits. Further the translation risk exposure is eradicated by raising
debt in currencies where there is the presence of matching assets.
Answer to question 2.
The correlation between the exchange rate of the USD/AUD, and the weekly share
prices of both the companies are provided in Appendices for last two years. On analysis, it
was found that both the company had a negative correlation with respect to the share price of
the companies and the exchange rates (Frankel 2015). This implies that if the exchange rates
go up the share prices of both the companies will go down and vice versa. Among the two

9INTERNATIONAL FINANCE
companies RioTinto is more responsive to the changes in the exchange rates as compared to
Brambles Limited as the amount of correlation is greater in case of Rio Tinto.
Answer to question 3.
On analysis and comparison of the two companies, it can be seen that Brambles,
limited has no secondary listing on any stock exchange except Australian Stock Exchange
whereas Rio Tinto is listed on Australian Stock Exchange, New York Stock Exchange and
London Stock Exchange. Hence, the later has three listing that provides it with far more
liquidity than that of Bramble Limited in respect of arranging for funds (Medel et al. 2016).
In respect of Bramble Limited it is advised to get itself listed on another stock exchange like
the New York Stock Exchange as the company is earning heavy revenue from that country
which substantiates the strong presence of the company in the country. Getting listed on the
stock exchange will help the company to expand its operations in America by using the funds
from the shareholders belonging to the country. The customers will have more faith in the
operations of the company as it will be required to give many disclosures relevant to the
directions of the statute of the country. Increased amount of compliances and satisfaction of
those by the company will help the company to build up its goodwill even more (Clarke and
Boersma 2016). The listing will also help the company to diversify its risk with respect to the
various fluctuations experienced in the stock market. In case of instability in one of the
exchanges the other one can perform the hedging function for the company. But, along with
the advantages the company should also consider the costs that are involved like registration
cost, compliance cost, reports and disclosure costs.

10INTERNATIONAL FINANCE
Reference
Avdjiev, S., McCauley, R.N. and Shin, H.S., 2016. Breaking free of the triple coincidence in
international finance. Economic Policy, 31(87), pp.409-451.
Borio, C., Gambacorta, L. and Hofmann, B., 2017. The influence of monetary policy on bank
profitability. International Finance, 20(1), pp.48-63.
Cheung, Y.W., Chinn, M. and Nong, X., 2017. Estimating currency misalignment using the
Penn effect: It is not as simple as it looks. International Finance, 20(3), pp.222-242.
Clarida, R., 2015. The Fed is Ready to Raise Rates: Will Past be Prologue?. International
Finance, 18(1), pp.93-108.
Clarke, T. and Boersma, M., 2016. Sustainable finance? A critical analysis of the regulation,
policies, strategies, implementation and reporting on sustainability in international
finance. UNEP-Inquiry: Design of a Sustainable Financial System.
Frankel, J.A., 2015. International finance and macroeconomics. NBER Reporter, (2), pp.1-9.
Frieden, J.A. and Lake, D.A., 2015. World Politics: Interests, Interactions, Institutions: Third
International Student Edition. WW Norton & Company.
Frisari, G. and Stadelmann, M., 2015. De-risking concentrated solar power in emerging
markets: The role of policies and international finance institutions. Energy Policy, 82, pp.12-
22.
Kalaitzake, M., 2017. The Political Power of Finance: The Institute of International Finance
in the Greek Debt Crisis. Politics & Society, 45(3), pp.389-413.

11INTERNATIONAL FINANCE
McCauley, R.N. and Schenk, C.R., 2015. Reforming the International Monetary System in
the 1970s and 2000s: Would a Special Drawing Right Substitution Account Have
Worked?. International Finance, 18(2), pp.187-206.
Medel, C.A., Pedersen, M. and Pincheira, P.M., 2016. The elusive predictive ability of global
inflation. International Finance, 19(2), pp.120-146.
Schoenmaker, D., 2017. Resolution of international banks: Can smaller countries
cope?. International Finance.

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Appendices
DATE USD/AUD RIO BXB
Jul 05, 2015 1.3431 52.07 10.77
Jul 12, 2015 1.3565 53.01 11.2
Jul 19, 2015 1.3731 51.2 10.98
Jul 26, 2015 1.3689 52.86 10.88
Aug 02, 2015 1.3479 53.27 10.49
Aug 09, 2015 1.3567 51.13 10.21
Aug 16, 2015 1.3659 49.52 9.98
Aug 23, 2015 1.3941 51.1 9.95
Aug 30, 2015 1.4477 49.76 9.95
Sep 06, 2015 1.4101 52 9.75
Sep 13, 2015 1.391 51.26 9.87
Sep 20, 2015 1.4238 48.95 9.72
Sep 27, 2015 1.4188 48.73 9.96
Oct 04, 2015 1.3633 55.18 10.2
Oct 11, 2015 1.3771 53.69 10.1
Oct 18, 2015 1.386 53.39 10.17
Oct 25, 2015 1.4006 50.65 10.38
Nov 01, 2015 1.4187 50.8 10.68
Nov 08, 2015 1.4022 48.65 10.47
Nov 15, 2015 1.3811 48.61 10.92
Nov 22, 2015 1.39 46.23 10.9
Nov 29, 2015 1.3621 44.38 10.82
Dec 06, 2015 1.3911 43.06 10.74
Dec 13, 2015 1.3943 42.46 11.07
Dec 20, 2015 1.3805 45.95 11.16
Dec 27, 2015 1.3701 44.71 11.57
Jan 03, 2016 1.4382 41.9 10.94
Jan 10, 2016 1.4557 39.51 10.65
Jan 17, 2016 1.4281 39.65 11
Jan 24, 2016 1.4115 39.13 11.13
Jan 31, 2016 1.4141 41.62 10.57
Feb 07, 2016 1.4072 40.47 10.2
Feb 14, 2016 1.3985 42.62 11.06
Feb 21, 2016 1.4024 40 12.28
Feb 28, 2016 1.3437 44.9 12.37
Mar 06, 2016 1.3226 44.57 12.32
Mar 13, 2016 1.3152 44.15 11.98
Mar 20, 2016 1.332 42.3 12.26
Mar 27, 2016 1.3039 43.14 12.02
Apr 03, 2016 1.3234 43.26 12.06
Apr 10, 2016 1.2948 48.2 12.07
Apr 17, 2016 1.2974 51 12.51

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Apr 24, 2016 1.3152 51.55 12.48
May 01, 2016 1.3572 47.75 13.05
May 08, 2016 1.3759 44.65 13.03
May 15, 2016 1.3847 45.04 12.82
May 22, 2016 1.3923 44.83 12.92
May 29, 2016 1.3573 43.54 12.84
Jun 05, 2016 1.3565 44.08 12.57
Jun 12, 2016 1.3517 43.42 12.34
Jun 19, 2016 1.3399 42.83 12.2
Jun 26, 2016 1.3335 46.07 12.32
Jul 03, 2016 1.3213 48.3 12.75
Jul 10, 2016 1.3196 50.55 12.95
Jul 17, 2016 1.3395 48.35 13.38
Jul 24, 2016 1.3163 49.56 13.45
Jul 31, 2016 1.3123 49.52 12.95
Aug 07, 2016 1.3077 49.74 13.2
Aug 14, 2016 1.311 49.79 12.97
Aug 21, 2016 1.322 48.82 12.54
Aug 28, 2016 1.3205 47.41 12.14
Sep 04, 2016 1.326 48.6 11.9
Sep 11, 2016 1.335 46.6 11.75
Sep 18, 2016 1.3123 50.07 12.12
Sep 25, 2016 1.3048 51.61 11.98
Oct 02, 2016 1.3197 52 12.25
Oct 09, 2016 1.3123 51.05 12.05
Oct 16, 2016 1.3145 50.95 11.74
Oct 23, 2016 1.3158 53.75 11.42
Oct 30, 2016 1.3033 53.31 11.21
Nov 06, 2016 1.324 59.55 11.6
Nov 13, 2016 1.3627 57.37 11.88
Nov 20, 2016 1.3433 61.76 12.09
Nov 27, 2016 1.34 58.04 11.61
Dec 04, 2016 1.3417 62.65 11.82
Dec 11, 2016 1.3687 59.29 12.02
Dec 18, 2016 1.3923 58.77 12.4
Dec 25, 2016 1.3858 59.9 12.4
Jan 01, 2017 1.3702 60.13 12.5
Jan 08, 2017 1.333 62.09 12.62
Jan 15, 2017 1.3236 62.33 12.28
Jan 22, 2017 1.3242 67.85 10.65
Jan 29, 2017 1.3015 64.53 10.45
Feb 05, 2017 1.3028 65.95 10.55
Feb 12, 2017 1.3035 67.79 10.51
Feb 19, 2017 1.3032 62.88 9.52
Feb 26, 2017 1.3166 60.92 9.31
Mar 05, 2017 1.3259 58.97 9.22

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Mar 12, 2017 1.2981 62.93 9.04
Mar 19, 2017 1.312 60.11 9.33
Mar 26, 2017 1.3109 60.46 9.35
Apr 02, 2017 1.3334 60.01 9.37
Apr 09, 2017 1.3198 59.15 9.55
Apr 16, 2017 1.3257 60.24 9.8
Apr 23, 2017 1.3354 60.44 10.34
Apr 30, 2017 1.3475 57.15 10.22
May 07, 2017 1.3539 59.8 10.49
May 14, 2017 1.3402 63.25 10.29
May 21, 2017 1.3428 63.64 10.48
May 28, 2017 1.343 62.82 10.49
Jun 04, 2017 1.3279 62.94 10.21
Jun 11, 2017 1.3122 60.08 10.51
Jun 18, 2017 1.3212 58.83 10.16
Jun 25, 2017 1.3003 63.27 9.73
CORRELATION RIO CORRELATION BXB
-0.46 -0.17