Correlation Between GM and JNT
Can any of the company-specific risk be diversified away by investing in both GM and JNT 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 JNT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and JNT, you can compare the effects of market volatilities on GM and JNT 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 JNT. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and JNT.
Diversification Opportunities for GM and JNT
Poor diversification
The 3 months correlation between GM and JNT is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and JNT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JNT 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 JNT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JNT has no effect on the direction of GM i.e., GM and JNT go up and down completely randomly.
Pair Corralation between GM and JNT
If you would invest 5,273 in General Motors on August 29, 2024 and sell it today you would earn a total of 206.00 from holding General Motors or generate 3.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 4.55% |
Values | Daily Returns |
General Motors vs. JNT
Performance |
Timeline |
General Motors |
JNT |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
GM and JNT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and JNT
The main advantage of trading using opposite GM and JNT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, JNT 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 JNT will offset losses from the drop in JNT's long position.The idea behind General Motors and JNT 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Other Complementary Tools
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data |