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Lesson 8 of 19

Calculating Weighted Average Mean

One characteristic of an arithmetic mean is that all observations have equal weight (=1/N). However, this may not always be the case. In some cases, different observations may influence the mean differently. This has special relevance in portfolios where a portfolio is made up of different stocks each having a different weight.

Let’s assume that we have a portfolio comprising three stocks, A, B and C as follows:

StockReturnsWeight
A12%20%
B18%30%
C24%50%

We have the stock returns for each stock and the weight of each stock in the portfolio. For example, if the investor has a total of $1,000 invested in the portfolio, 20% or $200 is invested in Stock A, $300 is invested in stock B, and the remaining $500 is invested in Stock C.

The weighted average mean is calculated using the following formula:

wam1
wam1

The weighted mean of our portfolio will be calculated as follows:

wam2
wam2

Note that the weighted mean is closer to the returns from Stock C because Stock C has more influence (weight) on the portfolio.

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Calculating Arithmetic Mean

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Calculating Geometric Mean

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Statistical Concepts and Market Returns

19 lessons

Lessons

1
Descriptive Vs. Inferential Statistics
2
Types of Measurement Scales
3
Parameter, Sample Statistic, and Frequency Distribution
4
Relative Frequencies and Cumulative Relative Frequencies
5
Properties of a Data Set (Histogram / Frequency Polygon)
6
Measures of Central Tendency
7
Calculating Arithmetic Mean
8
Calculating Weighted Average Mean
9
Calculating Geometric Mean
10
Calculating Harmonic Mean
11
Calculating Median and Mode of a Data Set
12
Quartiles, Quintiles, Deciles, and Percentiles
13
Range and Mean Absolute Deviation
14
Variance and Standard Deviation
15
Chebyshev’s Inequality
16
Coefficient of Variation
17
Sharpe Ratio
18
Skewness and Kurtosis
19
Relative Locations of Mean, Median and Mode

Quizzes

Statistical Concepts and Market Returns
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