Correlation Between United Utilities and MICRONIC MYDATA
Can any of the company-specific risk be diversified away by investing in both United Utilities and MICRONIC MYDATA at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining United Utilities and MICRONIC MYDATA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Utilities Group and MICRONIC MYDATA, you can compare the effects of market volatilities on United Utilities and MICRONIC MYDATA and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in United Utilities with a short position of MICRONIC MYDATA. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Utilities and MICRONIC MYDATA.
Diversification Opportunities for United Utilities and MICRONIC MYDATA
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between United and MICRONIC is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding United Utilities Group and MICRONIC MYDATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MICRONIC MYDATA and United Utilities is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on United Utilities Group are associated (or correlated) with MICRONIC MYDATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MICRONIC MYDATA has no effect on the direction of United Utilities i.e., United Utilities and MICRONIC MYDATA go up and down completely randomly.
Pair Corralation between United Utilities and MICRONIC MYDATA
Assuming the 90 days trading horizon United Utilities Group is expected to generate 0.84 times more return on investment than MICRONIC MYDATA. However, United Utilities Group is 1.19 times less risky than MICRONIC MYDATA. It trades about 0.07 of its potential returns per unit of risk. MICRONIC MYDATA is currently generating about -0.01 per unit of risk. If you would invest 1,171 in United Utilities Group on September 1, 2024 and sell it today you would earn a total of 179.00 from holding United Utilities Group or generate 15.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
United Utilities Group vs. MICRONIC MYDATA
Performance |
| Timeline |
| United Utilities |
| MICRONIC MYDATA |
United Utilities and MICRONIC MYDATA Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with United Utilities and MICRONIC MYDATA
The main advantage of trading using opposite United Utilities and MICRONIC MYDATA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Utilities position performs unexpectedly, MICRONIC MYDATA can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in MICRONIC MYDATA will offset losses from the drop in MICRONIC MYDATA's long position.| United Utilities vs. Vastned Retail NV | United Utilities vs. RETAIL FOOD GROUP | United Utilities vs. Caseys General Stores | United Utilities vs. BURLINGTON STORES |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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