Correlation Between Applied Opt and Motorola Solutions
Can any of the company-specific risk be diversified away by investing in both Applied Opt and Motorola Solutions 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 Applied Opt and Motorola Solutions into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Opt and Motorola Solutions, you can compare the effects of market volatilities on Applied Opt and Motorola Solutions 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 Applied Opt with a short position of Motorola Solutions. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Opt and Motorola Solutions.
Diversification Opportunities for Applied Opt and Motorola Solutions
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Applied and Motorola is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Applied Opt and Motorola Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Motorola Solutions and Applied Opt 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 Applied Opt are associated (or correlated) with Motorola Solutions. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Motorola Solutions has no effect on the direction of Applied Opt i.e., Applied Opt and Motorola Solutions go up and down completely randomly.
Pair Corralation between Applied Opt and Motorola Solutions
Given the investment horizon of 90 days Applied Opt is expected to generate 7.01 times more return on investment than Motorola Solutions. However, Applied Opt is 7.01 times more volatile than Motorola Solutions. It trades about 0.25 of its potential returns per unit of risk. Motorola Solutions is currently generating about 0.17 per unit of risk. If you would invest 1,226 in Applied Opt on September 1, 2024 and sell it today you would earn a total of 2,896 from holding Applied Opt or generate 236.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Opt vs. Motorola Solutions
Performance |
Timeline |
Applied Opt |
Motorola Solutions |
Applied Opt and Motorola Solutions Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Opt and Motorola Solutions
The main advantage of trading using opposite Applied Opt and Motorola Solutions positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Opt position performs unexpectedly, Motorola Solutions 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 Motorola Solutions will offset losses from the drop in Motorola Solutions' long position.Applied Opt vs. Lumentum Holdings | Applied Opt vs. Ichor Holdings | Applied Opt vs. Fabrinet | Applied Opt vs. Hello Group |
Motorola Solutions vs. Ciena Corp | Motorola Solutions vs. Extreme Networks | Motorola Solutions vs. Hewlett Packard Enterprise | Motorola Solutions vs. NETGEAR |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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