This document provides study material on financial economics, including calculating expected return, standard deviation, correlation matrix, covariance matrix, efficient frontier, investor utility, and more. It also discusses the assumptions made for the analysis.
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Running head:FINANCIAL ECONOMIC Financial Economic Name of the Student: Name of the University: Author’s Note: Course ID:
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1FINANCIAL ECONOMIC Table of Contents 1. Calculating the expected return, standard deviation and geometric mean:.................................2 2. Calculating the correlation matrix:..............................................................................................2 3i. Calculating the covariance matrix:.............................................................................................3 3ii. Calculating the bordered covariance matrix:.............................................................................3 4. Graphing the efficient frontier with restricted minimum variance frontier:................................4 5. Identifying the investors utility:...................................................................................................4 6. Graphing the efficient frontier with unrestricted minimum variance frontier:............................5 7. Identifying the investors utility:...................................................................................................6 8. Explaining the reasons for any differences between the utility-maximising target:...................6 9. Drawing the capital allocation line on efficient frontier:.............................................................7 10. Identifying the assumptions that would be undertaken for the overall analysis:.......................7 References and Bibliography:..........................................................................................................9
2FINANCIAL ECONOMIC 1. Calculating the expected return, standard deviation and geometric mean: ABCDEFG Average return12.99% 5.16 %3.88%14.29%16.18%4.21%18.91% Standard deviation12.78% 5.88 %5.69%15.98%19.06%5.95%24.03% Geometric mean returns12.28% 5.00 %3.74%13.25%14.78%4.04%16.75% There is relevant relationship between the arithmetic mean and geometric mean, where the arithmetic mean only averages the overall returns of the stock. On the other hand, geometric mean provides compounding value of the returns, which is more precise and accurate. The above valuation indicates that the average mean ishigher than the geometric mean, as the total returns of the assets are compounded. 2. Calculating the correlation matrix: Correlation MatrixABCDEFG A1 0.332419 419 0.134768 423 0.80587 87 0.866415 794 0.301961 33 0.687405 332 B 0.332419 4191 0.683003 117 0.42511 479 0.353518 279 0.567142 958 0.364257 783 C 0.134768 423 0.683003 1171 0.34895 031 0.205649 278 0.655363 078 0.344341 091 D 0.805878 703 0.425114 79 0.348950 3151 0.677838 173 0.323448 005 0.969023 692 E 0.866415 794 0.353518 279 0.205649 278 0.67783 8171 0.205196 426 0.550315 313 F 0.301961 33 0.567142 958 0.655363 078 0.32344 8 0.205196 4261 0.293342 311 G 0.687405 332 0.364257 783 0.344341 091 0.96902 369 0.550315 313 0.293342 3111
3FINANCIAL ECONOMIC The correlation matrix provides the overall linkage between each asset, which is used by the investors to formulate an adequate diversified portfolio, which can increase returns and reduce any kind of risk from investment. 3i. Calculating the covariance matrix: Covariance MatrixABCDEFG A 0.016345 082 0.002499 245 0.000981 021 0.016459 082 0.021114 961 0.002297 008 0.021116 429 B 0.002499 245 0.003458 261 0.002286 905 0.003993 718 0.003962 882 0.001984 445 0.005146 971 C 0.000981 021 0.002286 905 0.003241 853 0.003173 9680.002232 0.002220 221 0.004710 853 D 0.016459 082 0.003993 718 0.003173 968 0.025520 239 0.020641 382 0.003074 429 0.037195 534 E 0.021114 961 0.003962 8820.002232 0.020641 382 0.036336 303 0.002327 329 0.025205 539 F 0.002297 008 0.001984 445 0.002220 221 0.003074 429 0.002327 329 0.003540 261 0.004193 787 G 0.021116 429 0.005146 971 0.004710 853 0.037195 534 0.025205 539 0.004193 787 0.057733 524 3ii. Calculating the bordered covariance matrix: Border covarianceABCDEFG Weights14.29%14.29%14.29%14.29%14.29%14.29%14.29% A14.29% 0.00033 36 0.00005 10 0.00002 00 0.000335 9 0.000430 9 0.00004 69 0.000430 9 B14.29% 0.00005 10 0.00007 06 0.00004 67 0.000081 5 0.000080 9 0.00004 05 0.000105 0 C14.29% 0.00002 00 0.00004 67 0.00006 62 0.000064 8 0.000045 6 0.00004 53 0.000096 1 D14.29%
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5FINANCIAL ECONOMIC 7.00%5.78%6.17% 8.00%6.59%6.91% 9.00%7.56%7.57% 10.00%8.61%8.15% 11.00%9.73%8.63% 12.00%10.90%9.03% 13.00%12.12%9.33% 14.00%13.36%9.54% 15.00%14.64%9.64% 16.00%16.06%9.55% 17.00%17.62%9.24% 18.00%19.73%8.27% The above table provides information on the overall return and risk attributes of the investor’s utility, which is has been calculated in the above table. Therefore, from the relevant calculation, it is detected that the return of 15.00% and standard deviation of 14.64% has the highest investor utility. 6. Graphing the efficient frontier with unrestricted minimum variance frontier: 4.00%6.00%8.00%10.00%12.00%14.00%16.00%18.00%20.00%22.00% 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00% 16.00% 18.00% 20.00% 5.00% Unrestricted Efficient Frontier
6FINANCIAL ECONOMIC 7. Identifying the investors utility: Unrestricted Efficient Frontier MeanStandard deviationInvestor utility 4.00%5.16%3.33% 5.00%4.93%4.39% 6.00%5.19%5.33% 7.00%5.78%6.17% 8.00%6.59%6.91% 9.00%7.56%7.57% 10.00%8.61%8.15% 11.00%9.73%8.63% 12.00%10.90%9.03% 13.00%12.12%9.33% 14.00%13.36%9.54% 15.00%14.64%9.64% 16.00%16.06%9.55% 17.00%17.62%9.24% 18.00%19.73%8.27% From the relevant calculation, it can be detected that the total the total return of 15% and a standard deviation of 14.64% has the highest investor utility. 8. Explaining the reasons for any differences between the utility-maximising target: There is specifically no difference between the investor utility of unrestricted and restricted efficient frontier, as there has been no negative investments conducted to achieve the desired portfolio.
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7FINANCIAL ECONOMIC 9. Drawing the capital allocation line on efficient frontier: 0.00%5.00%10.00%15.00%20.00%25.00% 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% Restricted Effecient frontierRestricted Efficient FrontierCAL 10. Identifying the assumptions that would be undertaken for the overall analysis: The above analysis directly indicate that the overall portfolio would provide returns to the investors, which could generate high level of income from investment. The risk-free rate is considered to be higher, which can help in detecting the accurate level of income from investment. The expected return in risky stock are lower only when the economic condition of the country is not favourable and is headed towards a down trend. This is the main reason behind the lower expected return for the risky assets. The major sense of fundamental uncertainty is relevantly based on the occurrence of an economic crisis, which has been anticipated by the financial analyst. The change in the movement of the capital market would directly impact the overall valuation and anticipation of the financial analyst (Dymski 2016).
8FINANCIAL ECONOMIC Moreover, the CAL line has been calculated by using the highest value of risk and return that could be generated from the portfolio. This would eventually help in understanding the efficient frontier, which depicts about the portfolio that has the lowest risk involved with the investments. Therefore, assets with low return, high risk and high correlation would directly have negative impact on the formulated portfolio of the investors.
9FINANCIAL ECONOMIC References and Bibliography: Battiston, S., Farmer, J.D., Flache, A., Garlaschelli, D., Haldane, A.G., Heesterbeek, H., Hommes, C., Jaeger, C., May, R. and Scheffer, M., 2016. Complexity theory and financial regulation.Science,351(6275), pp.818-819. Dymski, G., 2016.The Bank Merger Wave: The Economic Causes and Social Consequences of FinancialConsolidation:TheEconomicCausesandSocialConsequencesofFinancial Consolidation. Routledge. Lusardi, A. and Mitchell, O.S., 2017. How ordinary consumers make complex economic decisions: Financial literacy and retirement readiness.Quarterly Journal of Finance,7(03), p.1750008. Sharma, D., 2016. Nexus between financial inclusion and economic growth: evidence from the emerging Indian economy.Journal of Financial Economic Policy,8(1), pp.13-36.