Correlation Between McDonalds and Electronic Systems
Can any of the company-specific risk be diversified away by investing in both McDonalds and Electronic Systems 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 McDonalds and Electronic Systems into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between McDonalds and Electronic Systems Technology, you can compare the effects of market volatilities on McDonalds and Electronic Systems 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 McDonalds with a short position of Electronic Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of McDonalds and Electronic Systems.
Diversification Opportunities for McDonalds and Electronic Systems
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between McDonalds and Electronic is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding McDonalds and Electronic Systems Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Electronic Systems and McDonalds 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 McDonalds are associated (or correlated) with Electronic Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Electronic Systems has no effect on the direction of McDonalds i.e., McDonalds and Electronic Systems go up and down completely randomly.
Pair Corralation between McDonalds and Electronic Systems
Considering the 90-day investment horizon McDonalds is expected to generate 9.31 times less return on investment than Electronic Systems. But when comparing it to its historical volatility, McDonalds is 6.25 times less risky than Electronic Systems. It trades about 0.01 of its potential returns per unit of risk. Electronic Systems Technology is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 25.00 in Electronic Systems Technology on August 29, 2024 and sell it today you would lose (5.00) from holding Electronic Systems Technology or give up 20.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
McDonalds vs. Electronic Systems Technology
Performance |
Timeline |
McDonalds |
Electronic Systems |
McDonalds and Electronic Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with McDonalds and Electronic Systems
The main advantage of trading using opposite McDonalds and Electronic Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if McDonalds position performs unexpectedly, Electronic Systems 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 Electronic Systems will offset losses from the drop in Electronic Systems' long position.McDonalds vs. Chipotle Mexican Grill | McDonalds vs. Dutch Bros | McDonalds vs. Dominos Pizza | McDonalds vs. Yum Brands |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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