Correlation Between GM and Nuance Mid
Can any of the company-specific risk be diversified away by investing in both GM and Nuance Mid 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 Nuance Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Nuance Mid Cap, you can compare the effects of market volatilities on GM and Nuance Mid 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 Nuance Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Nuance Mid.
Diversification Opportunities for GM and Nuance Mid
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GM and Nuance is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Nuance Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nuance Mid Cap 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 Nuance Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nuance Mid Cap has no effect on the direction of GM i.e., GM and Nuance Mid go up and down completely randomly.
Pair Corralation between GM and Nuance Mid
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.92 times more return on investment than Nuance Mid. However, GM is 2.92 times more volatile than Nuance Mid Cap. It trades about -0.01 of its potential returns per unit of risk. Nuance Mid Cap is currently generating about -0.1 per unit of risk. If you would invest 5,404 in General Motors on December 26, 2024 and sell it today you would lose (145.00) from holding General Motors or give up 2.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.36% |
Values | Daily Returns |
General Motors vs. Nuance Mid Cap
Performance |
Timeline |
General Motors |
Nuance Mid Cap |
GM and Nuance Mid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Nuance Mid
The main advantage of trading using opposite GM and Nuance Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Nuance Mid 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 Nuance Mid will offset losses from the drop in Nuance Mid's long position.The idea behind General Motors and Nuance Mid Cap 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.Nuance Mid vs. Global Diversified Income | Nuance Mid vs. Columbia Diversified Equity | Nuance Mid vs. Stone Ridge Diversified | Nuance Mid vs. Jhancock Diversified Macro |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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