Correlation Between CarsalesCom and General Mills
Can any of the company-specific risk be diversified away by investing in both CarsalesCom 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 CarsalesCom and General Mills into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CarsalesCom and General Mills, you can compare the effects of market volatilities on CarsalesCom 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 CarsalesCom with a short position of General Mills. Check out your portfolio center. Please also check ongoing floating volatility patterns of CarsalesCom and General Mills.
Diversification Opportunities for CarsalesCom and General Mills
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CarsalesCom and General is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding CarsalesCom and General Mills in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Mills and CarsalesCom 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 CarsalesCom 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 CarsalesCom i.e., CarsalesCom and General Mills go up and down completely randomly.
Pair Corralation between CarsalesCom and General Mills
Assuming the 90 days horizon CarsalesCom is expected to under-perform the General Mills. But the stock apears to be less risky and, when comparing its historical volatility, CarsalesCom is 1.14 times less risky than General Mills. The stock trades about -0.3 of its potential returns per unit of risk. The General Mills is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 8,373 in General Mills on September 21, 2024 and sell it today you would earn a total of 395.00 from holding General Mills or generate 4.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.65% |
Values | Daily Returns |
CarsalesCom vs. General Mills
Performance |
Timeline |
CarsalesCom |
General Mills |
CarsalesCom and General Mills Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CarsalesCom and General Mills
The main advantage of trading using opposite CarsalesCom and General Mills positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CarsalesCom 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.CarsalesCom vs. Merit Medical Systems | CarsalesCom vs. ORMAT TECHNOLOGIES | CarsalesCom vs. PLAY2CHILL SA ZY | CarsalesCom vs. Microbot Medical |
General Mills vs. Federal Agricultural Mortgage | General Mills vs. Canon Marketing Japan | General Mills vs. Fast Retailing Co | General Mills vs. CarsalesCom |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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