Correlation Between FMC and Gen Digital
Can any of the company-specific risk be diversified away by investing in both FMC and Gen Digital 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 FMC and Gen Digital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FMC Corporation and Gen Digital, you can compare the effects of market volatilities on FMC and Gen Digital 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 FMC with a short position of Gen Digital. Check out your portfolio center. Please also check ongoing floating volatility patterns of FMC and Gen Digital.
Diversification Opportunities for FMC and Gen Digital
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between FMC and Gen is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding FMC Corp. and Gen Digital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gen Digital and FMC 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 FMC Corporation are associated (or correlated) with Gen Digital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gen Digital has no effect on the direction of FMC i.e., FMC and Gen Digital go up and down completely randomly.
Pair Corralation between FMC and Gen Digital
Considering the 90-day investment horizon FMC Corporation is expected to under-perform the Gen Digital. In addition to that, FMC is 4.09 times more volatile than Gen Digital. It trades about -0.29 of its total potential returns per unit of risk. Gen Digital is currently generating about 0.26 per unit of volatility. If you would invest 17,003 in Gen Digital on October 6, 2024 and sell it today you would earn a total of 890.00 from holding Gen Digital or generate 5.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 92.68% |
Values | Daily Returns |
FMC Corp. vs. Gen Digital
Performance |
Timeline |
FMC Corporation |
Gen Digital |
FMC and Gen Digital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FMC and Gen Digital
The main advantage of trading using opposite FMC and Gen Digital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FMC position performs unexpectedly, Gen Digital 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 Gen Digital will offset losses from the drop in Gen Digital's long position.The idea behind FMC Corporation and Gen Digital 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.Gen Digital vs. Monster Beverage | Gen Digital vs. Westinghouse Air Brake | Gen Digital vs. Brpr Corporate Offices | Gen Digital vs. Ryanair Holdings plc |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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