Table of Contents
Question 1.
Question 2.
Question 3.
Question 4.
Question 5.
References
The data of ABC Shipping Limited is given as –
10% Debentures ($100 par) = $10000000
Paid up capital – ordinary shares ($1 par) = $45000000
12% Preference share ($10 par) = $5000000
For computing the WACC, firstly the proportion of different types of capital has bene calculated. Proportion of debentures is computed as $10200000 / $240200000 = 4.25%
Proportion of ordinary shares is computed as $225000000/ $240200000 = 93.67%
Proportion of preference shares is computed as $5000000 / $240200000 = 2.08%
Cost of equity is calculated by applying the CAPM formula as Ke = Rf + Equity risk premium * Beta (Frank and Shen 2016)
Ke = 3% + 8% * 1.5 = 15%
Cost of debentures (Kd) = 8%
Cost of preference shares (Kp) = 12%
WACC = Cost of equity * weight of equity + cost of debt * weight of debt (1 – tax rate) + cost of preference shares * weight of preference shares (Garcia 2017)
WACC = 15% * 93.67% + 8% * 4.25% * (1-30%) + 12% * 2.08%
WACC = 14.54%
NPV of vessel 1 project = $15.85 million
NPV of vessel 2 project = $2.30 million
Approval for loan
The current ratio of XYZ Engineering ratio has declined from 5 in 2018 to 3.50 in 2019 and became lower than the industry average of 5 (Wen and Zhu 2019). This indicates that the company’s current assets have reduced but are enough to pay its short term liabilities. Similarly, quick ratio of the company has decreased from 2.70 to 2 in 2019 and remained lower than the industry average. Rise in turnover ratio from 30 days to 40 days indicates that the stock of the company remained unsold for large number of days (Sunjoko and Arilyn 2016). The industry average for collection period is 20 days but average collection period for the company ahs reached to 35 days in 2019 from 25 days. This indicates that the debtors are paying it late which is hampering its inflow of cash. It has raised the acquisition of debt funds from 34.69% to 40.50% which shows that the company is already under the obligation to pay interest at regular intervals of time irrespective of the amount of profits earned by the company (Onchong’a et al. 2016). The net profit margin has fallen below the industry average of 12% and return of assets has also lowered down to 5.40% (Sudirman et al. 2020). From all this, it can be claimed that the bank should not approve the loan application of 1 million dollars made by XYZ Engineering Limited as its performance is declining in the current year and has fallen down below the industry average. Decline in profit margin infers that the company is facing difficulty in earning revenue and incurring heavy amount of expenditure on carrying out its business operations. The management is inefficient in using its resources and assets in an optimum manner to derive large amount of profitability. The reduction in current assets might make it difficult for the corporation to even fulfil its short term financial commitments in the near future. It has not adopted any effective marketing strategy to sell off its products and services in the market due to which its inventory turnover is rising. It might become difficult for bank to recover the amount of loan at the time of maturity. Thus, it is suggested to not to offer loan of such a big amount to the company. However, it might offer any short term loan of some small amount.
BHP and Qantas
The formula for holding period return is = (R(t+1) – R(t))/ R(t)
Particulars |
BHP (%) |
Qantas (%) |
Average monthly holding period returns |
-2.46 |
0.34 |
Standard deviation |
4.68 |
2.57 |
Average monthly holding period return is computed by taking out the average of monthly holding period returns (Zervoudi and Spyrou 2016). Standard deviation is computed by applying formula.
The expected monthly holding period return will be calculated by multiply the weights of investment in particular security with their respective average monthly holding period return (Al-Nator 2018).
Expected return = 60% * (-2.46%) + 40% * (0.34%)
Expected return = -1.34%
Standard deviation of portfolio is calculated by applying the formula as –
SD(P) = SQRT ((w1)^2 * (sd1)^2 + (w2)^2 * (sd2)^2 + 2 * w1 * w2 * corr * sd1 *sd2)
Correlation between the returns is computed as (-0.134) by applying the formula of correlation in excel.
SD(P) = SQRT ((60%)^2 * (4.68)^2 + (40%)^2 * (2.57)^2 + 2 (60%)(40%) (-0.134) (4.68)(2.57))
SD(P) = 2.86
Since, the prevailing market price does not exceed the Exercise Price; the call option is not exercised and instead, lapses. In the given case, the Euros are purchased at the prevailing Price.
The premium, in any case, will be the cost of the company, and will be payable by the company.
Option 2 |
Call option |
|
Option Contract : |
||
Expected Price |
Action at Exercise |
Expected Outflow |
0.58 |
Lapse |
$ 3,44,828 |
Add: |
||
Premium ( Upfront) |
$ 2,000 |
|
Total Outflow 3 months |
$ 3,46,828 |
|
from now |
||
Additional Outflow |
$ 13,494 |
|
Option 3 |
no risk hedging |
|
Taking neither Forward |
200000/0.58 |
344827.5862 |
Therefore,
If all three options are analysed, in following table of comparison, then it could be said that the cash outflow is least in 90 days forward contract and so the importer should take up the 90days forward currency derivative to mitigate the risk of currency depreciation.
Table of Comparision |
||||
PARTICULARS |
90 days forward |
Call option |
no risk hedging |
|
Expected Outflow |
$ 3,33,333 |
$ 3,46,828 |
$ 3,44,828 |
|
Abrahams, S., 2020. Competitive Advantage in Investing: Building Winning Professional Portfolios. John Wiley & Sons.
Al-Nator, M.S., 2018. Portfolio analysis with general commission. Journal of Mathematical Sciences, 234(6), pp.793-801.
Australian Government. 2020. Australian Trade and investment commission. [Online]. Available at: https://www.austrade.gov.au/Australian/Export/Export-markets/Countries/China/Doing-business/Business-risks [Accessed on: 21st October 2020].
Ben-Horin, M. and Kroll, Y., 2017. A simple intuitive NPV-IRR consistent ranking. The Quarterly Review of Economics and Finance, 66, pp.108-114.
Breuer, W. and Pinkwart, A., 2018. Venture capital and private equity finance as key determinants of economic development.
Calabrese, T.D. and Ely, T.L., 2016. Borrowing for the public good: The growing importance of tax-exempt bonds for public charities. Nonprofit and Voluntary Sector Quarterly, 45(3), pp.458-477.
Frank, M.Z. and Shen, T., 2016. Investment and the weighted average cost of capital. Journal of Financial Economics, 119(2), pp.300-315.
García, F.J.P. 2017. The WACC. In Financial risk management (pp. 345-351). Palgrave Macmillan, Cham.
Karp, P. 2020. Australian trade minister says ‘risk’ of trade with China may drive businesses to other markets. [Online]. Available at: https://www.theguardian.com/australia-news/2020/may/17/australian-trade-minister-says-risk-of-trade-with-china-may-drive-businesses-to-other-markets [Accessed on: 21st October 2020].
Lothian, J.R., 2016. Purchasing power parity and the behavior of prices and nominal exchange rates across exchange-rate regimes. Journal of International Money and Finance, 69, pp.5-21.
Nikolova, L.V., Rodionov, D.G. and Mottaeva, A.B., 2016. Securitization of bank assets as a source of financing the innovation activity. International Journal of Economics and Financial Issues, 6(2S).
Onchong’a, E.A., Muturi, W. and Atambo, W., 2016. Effects of debt financing on businesses firms financial performance. International Journal of Social Sciences and Information Technology, 2(5), pp.723-737.
Patten, S. and Durkin, P. 2020. Risks of exporting to China have increased for Australian companies. [Online]. Available at: https://www.afr.com/policy/economy/risks-of-exporting-to-china-have-increased-for-australian-companies-20200823-p55odn [Accessed on: 21st October 2020].
Sudirman, S., Kamaruddin, K. and Possumah, B.T., 2020. The Influence of Net Profit Margin, Debt to Equity Ratio, Return on Equity, and Earning per Share on the Share Prices of Consumer Goods Industry Companies in Indonesia. International Journal of Advanced Science and Technology, 29(7), pp.13428-13440.
Sunjoko, M.I. and Arilyn, E.J., 2016. Effects of inventory turnover, total asset turnover, fixed asset turnover, current ratio and average collection period on profitability. Jurnal Bisnis dan Akuntansi, 18(1), pp.79-83.
Trinks, A., Scholtens, B., Mulder, M. and Dam, L., 2018. Fossil fuel divestment and portfolio performance. Ecological economics, 146, pp.740-748.
Wen, H. and Zhu, T., 2019. Interpretation of Financial Statements.
Zervoudi, E. and Spyrou, S., 2016. The equity premium puzzle: new evidence on the optimal holding period and optimal asset allocation. Review of Behavioral Finance.
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