Correlation Between General Electric and General Mills
Can any of the company-specific risk be diversified away by investing in both General Electric and General Mills 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 General Electric and General Mills into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Electric and General Mills, you can compare the effects of market volatilities on General Electric and General Mills 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 General Electric with a short position of General Mills. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Electric and General Mills.
Diversification Opportunities for General Electric and General Mills
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between General and General is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding General Electric and General Mills in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Mills and General Electric 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 Electric are associated (or correlated) with General Mills. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Mills has no effect on the direction of General Electric i.e., General Electric and General Mills go up and down completely randomly.
Pair Corralation between General Electric and General Mills
Assuming the 90 days horizon General Electric is expected to under-perform the General Mills. In addition to that, General Electric is 1.24 times more volatile than General Mills. It trades about -0.01 of its total potential returns per unit of risk. General Mills is currently generating about 0.16 per unit of volatility. If you would invest 7,704 in General Mills on October 7, 2024 and sell it today you would earn a total of 1,223 from holding General Mills or generate 15.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
General Electric vs. General Mills
Performance |
Timeline |
General Electric |
General Mills |
General Electric and General Mills Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with General Electric and General Mills
The main advantage of trading using opposite General Electric and General Mills positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Electric position performs unexpectedly, General Mills 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 General Mills will offset losses from the drop in General Mills' long position.General Electric vs. Nucletron Electronic Aktiengesellschaft | General Electric vs. Meiko Electronics Co | General Electric vs. Renesas Electronics | General Electric vs. AOI Electronics Co |
General Mills vs. Playa Hotels Resorts | General Mills vs. Summit Hotel Properties | General Mills vs. Choice Hotels International | General Mills vs. MELIA HOTELS |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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