Observe the mean, the standard deviation, and the CV of the annual rate of return of the portfolio. Apple Historical Annual Stock Price Data Year Average Stock Price Year Open Year High Year Low Year Close Annual % Change 2021 135.6974 129.4100 156.6900 116.3600 148.7600 12.11% 2020 95.3468 75.0875 136.6900 56.0925 132.6900 80.75% 2019 52.0640 39.4800 73.4125 35.5475 73.4125 86.16% 2018 47.2634 43.0650 58.0175 36.7075 39.4350 -6.79% 2017 37.6378 29.0375 44.1050 29.0050 42.3075 46.11% 2016 26.1510 26.3375 29.5625 22.5850 28.9550 10.03% 2015 30.0096 27.3325 33.2500 25.7800 26.3150 -4.64% 2014 23.0661 19.7546 29.7500 17.8494 27.5950 37.72% 2013 16.8798 19.6082 20.3604 13.9475 20.0364 5.42% 2012 20.5732 14.6868 25.0750 14.6868 19.0062 31.40% 2011 13.0002 11.7704 15.0800 11.2614 14.4643 25.56% 2010 9.2801 7.6432 11.6239 6.8589 11.5200 53.07% 2009 5.2434 3.2411 7.5586 2.7929 7.5261 146.90% 2008 5.0707 6.9586 6.9618 2.8746 3.0482 -56.91% 2007 4.5812 2.9929 7.1368 2.9739 7.0743 133.48% 2006 2.5290 2.6696 3.2789 1.8096 3.0300 18.01% 2005 1.6670 1.1302 2.6779 1.1302 2.5675 123.26% 2004 0.6344 0.3800 1.2221 0.3800 1.1500 201.36% 2003 0.3311 0.2643 0.4432 0.2343 0.3816 49.12% 2002 0.3418 0.4161 0.4663 0.2429 0.2559 -34.57% 2001 0.3611 0.2657 0.4748 0.2657 0.3911 47.20%

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

Observe the mean, the standard deviation, and the CV of the annual rate of return of the portfolio.

Apple Historical Annual Stock Price Data
Year	Average Stock Price	Year Open	Year High	Year Low	Year Close	Annual % Change
2021	135.6974	129.4100	156.6900	116.3600	148.7600	12.11%
2020	95.3468	75.0875	136.6900	56.0925	132.6900	80.75%
2019	52.0640	39.4800	73.4125	35.5475	73.4125	86.16%
2018	47.2634	43.0650	58.0175	36.7075	39.4350	-6.79%
2017	37.6378	29.0375	44.1050	29.0050	42.3075	46.11%
2016	26.1510	26.3375	29.5625	22.5850	28.9550	10.03%
2015	30.0096	27.3325	33.2500	25.7800	26.3150	-4.64%
2014	23.0661	19.7546	29.7500	17.8494	27.5950	37.72%
2013	16.8798	19.6082	20.3604	13.9475	20.0364	5.42%
2012	20.5732	14.6868	25.0750	14.6868	19.0062	31.40%
2011	13.0002	11.7704	15.0800	11.2614	14.4643	25.56%
2010	9.2801	7.6432	11.6239	6.8589	11.5200	53.07%
2009	5.2434	3.2411	7.5586	2.7929	7.5261	146.90%
2008	5.0707	6.9586	6.9618	2.8746	3.0482	-56.91%
2007	4.5812	2.9929	7.1368	2.9739	7.0743	133.48%
2006	2.5290	2.6696	3.2789	1.8096	3.0300	18.01%
2005	1.6670	1.1302	2.6779	1.1302	2.5675	123.26%
2004	0.6344	0.3800	1.2221	0.3800	1.1500	201.36%
2003	0.3311	0.2643	0.4432	0.2343	0.3816	49.12%
2002	0.3418	0.4161	0.4663	0.2429	0.2559	-34.57%
2001	0.3611	0.2657	0.4748	0.2657	0.3911	47.20%

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

Expert Solution