Correlation Between GM and Macerich
Can any of the company-specific risk be diversified away by investing in both GM and Macerich 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 GM and Macerich into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and The Macerich, you can compare the effects of market volatilities on GM and Macerich 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 GM with a short position of Macerich. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Macerich.
Diversification Opportunities for GM and Macerich
Very weak diversification
The 3 months correlation between GM and Macerich is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and The Macerich in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Macerich and GM 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 General Motors are associated (or correlated) with Macerich. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Macerich has no effect on the direction of GM i.e., GM and Macerich go up and down completely randomly.
Pair Corralation between GM and Macerich
Allowing for the 90-day total investment horizon GM is expected to generate 3.74 times less return on investment than Macerich. But when comparing it to its historical volatility, General Motors is 1.05 times less risky than Macerich. It trades about 0.04 of its potential returns per unit of risk. The Macerich is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,680 in The Macerich on September 27, 2024 and sell it today you would earn a total of 243.00 from holding The Macerich or generate 14.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 97.67% |
Values | Daily Returns |
General Motors vs. The Macerich
Performance |
Timeline |
General Motors |
Macerich |
GM and Macerich Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Macerich
The main advantage of trading using opposite GM and Macerich positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Macerich 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 Macerich will offset losses from the drop in Macerich's long position.The idea behind General Motors and The Macerich 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.Macerich vs. Simon Property Group | Macerich vs. Realty Income | Macerich vs. Kimco Realty | Macerich vs. Range Resources Corp |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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