Question: Use the data from Q3 to create two active portfolios that will be designed to take advantage of a bull market over the next 3

Use the data from Q3 to create two active portfolios that will be designed to take advantage of a bull market over the next 3 to 6 months (from March 2019). You will create a portfolio based on Risk Allocation (RA) that will outperform the equal-weighted (EW) portfolio created above in Question 3 (also the benchmark portfolio). You will use the variance-covariance matrix of the three indexes over the whole period to create the Risk allocated portfolio. You will next create a Risk Allocated portfolio by allocating risk to each industry sector to calculate the weights of each sector based on the risk allocation. You will now calculate the marginal contribution to tracking error for each Industry sector.

date Sep-16 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Jan-18 Feb-18 Mar-18 Apr-18 May-18 Jun-18 Jul-18 Aug-18 Sep-18 Oct-18 Nov-18 Dec-18 Jan-19 Feb-19 Mar-19 Cyclical 0.2039 3.2410 -6.9367 8.0793 4.1516 -2.3406 1.1428 3.8079 2.3463 -1.4494 -0.0747 2.7305 1.9166 1.1663 9.2458 -0.0824 5.1138 -5.8314 2.5042 -0.8701 6.8579 1.9903 2.4462 2.0133 -2.4611 1.7784 -5.4206 -7.8833 3.3108 6.6664 5.1709 Non-Cyclical Financials -2.9086 -3.5704 1.9732 3.2279 -7.0486 -5.7191 2.8514 13.3973 6.1317 5.6249 1.5332 -5.2184 4.2128 5.8103 4.2471 -0.1945 2.0840 -1.0658 -3.2398 -4.6229 -0.4489 2.5372 - 1.0262 1.6312 1.6926 -4.5454 -1.3963 4.5416 7.8264 3.5567 0.8928 -1.2729 -1.8575 0.9835 -4.4416 -4.4020 6.4233 3.0431 -1.0418 -5.0874 5.7542 1.5568 0.2309 -3.0153 6.7644 7.1467 -1.8920 0.0450 1.1750 -2.8511 -3.3343 -3.4012 -3.1041 0.6079 -0.3783 -3.7933 2.4596 0.8406 2.8275 4.2059 1.8555 2.1985 date Sep-16 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Jan-18 Feb-18 Mar-18 Apr-18 May-18 Jun-18 Jul-18 Aug-18 Sep-18 Oct-18 Nov-18 Dec-18 Jan-19 Feb-19 Mar-19 Cyclical 0.2039 3.2410 -6.9367 8.0793 4.1516 -2.3406 1.1428 3.8079 2.3463 -1.4494 -0.0747 2.7305 1.9166 1.1663 9.2458 -0.0824 5.1138 -5.8314 2.5042 -0.8701 6.8579 1.9903 2.4462 2.0133 -2.4611 1.7784 -5.4206 -7.8833 3.3108 6.6664 5.1709 Non-Cyclical Financials -2.9086 -3.5704 1.9732 3.2279 -7.0486 -5.7191 2.8514 13.3973 6.1317 5.6249 1.5332 -5.2184 4.2128 5.8103 4.2471 -0.1945 2.0840 -1.0658 -3.2398 -4.6229 -0.4489 2.5372 - 1.0262 1.6312 1.6926 -4.5454 -1.3963 4.5416 7.8264 3.5567 0.8928 -1.2729 -1.8575 0.9835 -4.4416 -4.4020 6.4233 3.0431 -1.0418 -5.0874 5.7542 1.5568 0.2309 -3.0153 6.7644 7.1467 -1.8920 0.0450 1.1750 -2.8511 -3.3343 -3.4012 -3.1041 0.6079 -0.3783 -3.7933 2.4596 0.8406 2.8275 4.2059 1.8555 2.1985

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