Correlation Between Microsoft and COMPUTERSHARE
Can any of the company-specific risk be diversified away by investing in both Microsoft and COMPUTERSHARE 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 Microsoft and COMPUTERSHARE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and COMPUTERSHARE, you can compare the effects of market volatilities on Microsoft and COMPUTERSHARE 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 Microsoft with a short position of COMPUTERSHARE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and COMPUTERSHARE.
Diversification Opportunities for Microsoft and COMPUTERSHARE
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Microsoft and COMPUTERSHARE is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and COMPUTERSHARE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMPUTERSHARE and Microsoft 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 Microsoft are associated (or correlated) with COMPUTERSHARE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMPUTERSHARE has no effect on the direction of Microsoft i.e., Microsoft and COMPUTERSHARE go up and down completely randomly.
Pair Corralation between Microsoft and COMPUTERSHARE
Assuming the 90 days trading horizon Microsoft is expected to generate 0.93 times more return on investment than COMPUTERSHARE. However, Microsoft is 1.08 times less risky than COMPUTERSHARE. It trades about 0.09 of its potential returns per unit of risk. COMPUTERSHARE is currently generating about 0.04 per unit of risk. If you would invest 22,535 in Microsoft on September 21, 2024 and sell it today you would earn a total of 19,675 from holding Microsoft or generate 87.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. COMPUTERSHARE
Performance |
Timeline |
Microsoft |
COMPUTERSHARE |
Microsoft and COMPUTERSHARE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and COMPUTERSHARE
The main advantage of trading using opposite Microsoft and COMPUTERSHARE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, COMPUTERSHARE 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 COMPUTERSHARE will offset losses from the drop in COMPUTERSHARE's long position.The idea behind Microsoft and COMPUTERSHARE pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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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