Correlation Between GM and Massmutual Retiresmart
Can any of the company-specific risk be diversified away by investing in both GM and Massmutual Retiresmart 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 Massmutual Retiresmart into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Massmutual Retiresmart Moderate, you can compare the effects of market volatilities on GM and Massmutual Retiresmart 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 Massmutual Retiresmart. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Massmutual Retiresmart.
Diversification Opportunities for GM and Massmutual Retiresmart
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between GM and Massmutual is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Massmutual Retiresmart Moderat in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Massmutual Retiresmart 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 Massmutual Retiresmart. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Massmutual Retiresmart has no effect on the direction of GM i.e., GM and Massmutual Retiresmart go up and down completely randomly.
Pair Corralation between GM and Massmutual Retiresmart
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Massmutual Retiresmart. In addition to that, GM is 1.3 times more volatile than Massmutual Retiresmart Moderate. It trades about -0.22 of its total potential returns per unit of risk. Massmutual Retiresmart Moderate is currently generating about -0.2 per unit of volatility. If you would invest 945.00 in Massmutual Retiresmart Moderate on September 26, 2024 and sell it today you would lose (73.00) from holding Massmutual Retiresmart Moderate or give up 7.72% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Massmutual Retiresmart Moderat
Performance |
Timeline |
General Motors |
Massmutual Retiresmart |
GM and Massmutual Retiresmart Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Massmutual Retiresmart
The main advantage of trading using opposite GM and Massmutual Retiresmart positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Massmutual Retiresmart 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 Massmutual Retiresmart will offset losses from the drop in Massmutual Retiresmart's long position.The idea behind General Motors and Massmutual Retiresmart Moderate 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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