Correlation Between GM and Northland Power
Can any of the company-specific risk be diversified away by investing in both GM and Northland Power 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 Northland Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Northland Power, you can compare the effects of market volatilities on GM and Northland Power 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 Northland Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Northland Power.
Diversification Opportunities for GM and Northland Power
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Northland is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Northland Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northland Power 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 Northland Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northland Power has no effect on the direction of GM i.e., GM and Northland Power go up and down completely randomly.
Pair Corralation between GM and Northland Power
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.06 times more return on investment than Northland Power. However, GM is 1.06 times more volatile than Northland Power. It trades about -0.12 of its potential returns per unit of risk. Northland Power is currently generating about -0.15 per unit of risk. If you would invest 5,612 in General Motors on September 17, 2024 and sell it today you would lose (388.00) from holding General Motors or give up 6.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Northland Power
Performance |
Timeline |
General Motors |
Northland Power |
GM and Northland Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Northland Power
The main advantage of trading using opposite GM and Northland Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Northland Power 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 Northland Power will offset losses from the drop in Northland Power's long position.The idea behind General Motors and Northland Power 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.Northland Power vs. SHIP HEALTHCARE HLDGINC | Northland Power vs. Ramsay Health Care | Northland Power vs. ATRYS HEALTH SA | Northland Power vs. TITAN MACHINERY |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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