Write a report which addresses the questions (a to f) below. Where relevant, base your analysis on the data provided.

Write a report which addresses the questions (a to f) below. Where relevant, base your analysis on the data provided. Table 1: Asset returns on different asset classes over the period 1990 to 2010 Year Australian Shares % return (ex dividends) Australian Bonds % return Cash Rate % average return International Shares % return 1990 -20.1 12.1 14.8 -18.7 1991 22.2 9.4 10.3 16 1992 -6.0 8.9 6.5 -7.1 1993 39.1 6.7 5.1 20.4 1994 -9.2 10.0 5.4 3.4 1995 16.5 8.2 7.5 18.7 1996 7.2 7.4 7.0 11.7 1997 7.9 6.1 5.4 14.2 1998 7.7 5.0 5.0 22.8 1999 13.5 7.0 4.8 23.6 2000 2.9 5.5 6.0 -14.1 2001 2.6 6.0 4.9 -17.8 2002 -9.6 5.2 4.6 -21.1 2003 8.7 5.6 4.8 30.8 2004 22.8 5.3 5.3 12.8 2005 15.7 5.2 5.5 7.6 2006 19.8 5.9 5.8 18.0 2007 17.9 6.3 6.4 7.1 2008 -45.8 4.0 6.6 -42.1 2009 34.1 5.7 3.2 27.0 2010 2.2 5.5 4.4 9.6 Source: Brailsford et al. 2012, RBA 2016, viewed 24 March, 2016, , MSCI World index. Briefly discuss the four asset classes in Table 1. Using the data from Table 1, calculate the Arithmetic Mean (AM), Geometric Mean (GM) and Standard Deviation (σ) of returns of each of the four asset classes. Briefly discuss the risk-return characteristics of each asset class with reference to these measures. Construct an efficient portfolio. Assume the risk free rate over the period is 6.4%. Calculate the Efficient Frontier and Capital Allocation Line (CAL) for three asset classes: Australian Shares, Australian Bonds and the Australian Cash Rate using the Excel Solver Tool (see prescribed Textbook Chapter 7, Appendix A for guidance). You will also need to calculate and provide ‘Bordered Covariance’ and ‘Correlation Matrices’. Repeat the above steps with all four asset classes i.e. include International Shares and add the new efficient frontier and CAL to the previous graph. Discuss the implications of the addition of international shares on the efficient frontier and CAL compared with the first three assets efficient frontier and CAL. Briefly explain how fiscal and monetary policy can influence an economy. Discuss the three main factors that determine how sensitive a firm’s earnings are to the business cycle. Using the Black-Scholes formula and the cumulative normal distribution (i.e. see Table 21.2, p. 740 of the prescribed textbook), compute the call and put option prices using the data from Table 2. Table 2: Option information Stock price, S0 39 Exercise price, X 35 Interest rate, r 0.53 (5.3% per year) Time to expiration, T 0.5 (6 months or half a year) Standard deviation, σ 0.3 ( 30% per year) First compute d1 and d2, then using Table 21.2, find the N(d)’s and use interpolation if needed to find the exact call and put prices. Assume the current futures price for gold for delivery 10 days from 8 February is US$1,197.90 per ounce. Suppose that from 9 February 2016 to 22 February 2016 the gold prices were as in Table 3. Assume one futures contract consists of 100 ounces of gold. Also, assume the maintenance margin is 5% and the initial margin is 10%. Calculate the daily mark-to-market settlements for each contract held by the long position. Briefly discuss basis risk (i.e. you can give an example if it makes it easier to discuss) [Hint: see Chapter 22 and examples 22.1 and 22.2 of the textbook]. Table 3: Gold prices in US Dollars per ounce Day Futures Price (US Dollar per ounce) 8 Feb 2016 1197.90 9 Feb 2016 1198.70 10 Feb 2016 1194.70 11 Feb 2016 1247.90 12 Feb 2016 1239.10 15 Feb 2016 1239.10 16 Feb 2016 1207.90 17 Feb 2016 1211.10 18 Feb 2016 1226.10 19 Feb 2016 1230.40 22 Feb 2016 (delivery) 1209.50 Briefly discuss the main differences between options and futures. Evaluate a fund’s portfolio performance in terms of the market (e.g. outperformance or underperformance) using the Sharpe ratio, Treynor measure, Jensen’s alpha, Information ratio and the M2 measure using data from Table 4. Assume the risk-free rate is 5.5%. Briefly discuss each of the five methods. Table 4: Portfolio performance data Fund Portfolio Market Average return, x̄ 12% 8% Beta, β 1.15 1.0 Standard deviation, σ 33% 25% Tracking error (nonsystematic risk), σ(e) 14% 0 Note: This assessment is an individual assessment (i.e. this is not a group assessment). Please ensure you avoid collusion and other practices which compromise individual assessment work.


Price: £ 108

100% Plagiarism Free & Custom Written, Tailored to your instructions

Leave your Comments


Can't read the image? click here to refresh