In: Statistics and Probability
The share prices of two different stocks are given in the following table:
Stock A |
234 |
245 |
278 |
345 |
378 |
230 |
210 |
423 |
Stock B |
1090 |
1200 |
1345 |
1256 |
1640 |
1456 |
1347 |
1120 |
1. Find the correlation coefficient between stock A and stock B
2. Also find coefficient of variation for each stock and from that , conclude which one is more stable.
1)We have to find correlation coefficient for given data,
n | Quantity of Information |
ΣA | Total of the First Variable Value |
ΣB | Total of the Second Variable Value |
ΣAB | Sum of the Product of First Value & Second Value |
ΣA2 | Sum of the Squares of the First Value |
ΣB2 | Sum of the Squares of the Second Value |
A | B | A^2 | B^2 | A*B | |
234 | 1090 | 54756 | 1188100 | 255060 | |
245 | 1200 | 60025 | 1440000 | 294000 | |
278 | 1345 | 77284 | 1809025 | 373910 | |
345 | 1256 | 119025 | 1577536 | 433320 | |
378 | 1640 | 142884 | 2689600 | 619920 | |
230 | 1456 | 52900 | 2119936 | 334880 | |
210 | 1347 | 44100 | 1814409 | 282870 | |
423 | 1120 | 178929 | 1254400 | 473760 | |
total | 2343 | 10454 | 729903 | 13893006 | 3067720 |
2)we have to compute coefficient of variation for each data set.
A | (A-)^2 | B | (B-)^2 | |
234 | 3466.26563 | 1090 | 46980.5625 | |
245 | 2292.01563 | 1200 | 11395.5625 | |
278 | 221.265625 | 1345 | 1463.0625 | |
345 | 2717.01563 | 1256 | 2575.5625 | |
378 | 7246.26563 | 1640 | 111055.563 | |
230 | 3953.26563 | 1456 | 22275.5625 | |
210 | 6868.26563 | 1347 | 1620.0625 | |
423 | 16932.5156 | 1120 | 34875.5625 | |
total | 2343 | 43696.875 | 10454 | 232241.5 |
292.875 | 1306.75 | |||
73.9060848 | 170.382474 |
CV for A,
CV for B,
The coefficient of variation is stable, which is less than the other coefficient of variation.
Here we compare both CV's,
Then is more stable.