Correlation Between GM and NFL Biosciences
Can any of the company-specific risk be diversified away by investing in both GM and NFL Biosciences 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 NFL Biosciences into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and NFL Biosciences SAS, you can compare the effects of market volatilities on GM and NFL Biosciences 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 NFL Biosciences. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and NFL Biosciences.
Diversification Opportunities for GM and NFL Biosciences
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between GM and NFL is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and NFL Biosciences SAS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NFL Biosciences SAS 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 NFL Biosciences. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NFL Biosciences SAS has no effect on the direction of GM i.e., GM and NFL Biosciences go up and down completely randomly.
Pair Corralation between GM and NFL Biosciences
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the NFL Biosciences. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 2.99 times less risky than NFL Biosciences. The stock trades about -0.1 of its potential returns per unit of risk. The NFL Biosciences SAS is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 188.00 in NFL Biosciences SAS on October 3, 2024 and sell it today you would earn a total of 9.00 from holding NFL Biosciences SAS or generate 4.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
General Motors vs. NFL Biosciences SAS
Performance |
Timeline |
General Motors |
NFL Biosciences SAS |
GM and NFL Biosciences Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and NFL Biosciences
The main advantage of trading using opposite GM and NFL Biosciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, NFL Biosciences 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 NFL Biosciences will offset losses from the drop in NFL Biosciences' long position.The idea behind General Motors and NFL Biosciences SAS 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.NFL Biosciences vs. Quantum Genomics SA | NFL Biosciences vs. Medesis Pharma SA | NFL Biosciences vs. Abionyx Pharma SA |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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