Correlation Between General Motors and NXP Semiconductors
Can any of the company-specific risk be diversified away by investing in both General Motors and NXP Semiconductors 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 General Motors and NXP Semiconductors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and NXP Semiconductors NV, you can compare the effects of market volatilities on General Motors and NXP Semiconductors 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 General Motors with a short position of NXP Semiconductors. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Motors and NXP Semiconductors.
Diversification Opportunities for General Motors and NXP Semiconductors
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between General and NXP is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and NXP Semiconductors NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NXP Semiconductors and General Motors 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 NXP Semiconductors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NXP Semiconductors has no effect on the direction of General Motors i.e., General Motors and NXP Semiconductors go up and down completely randomly.
Pair Corralation between General Motors and NXP Semiconductors
Assuming the 90 days trading horizon General Motors is expected to generate 1.29 times more return on investment than NXP Semiconductors. However, General Motors is 1.29 times more volatile than NXP Semiconductors NV. It trades about 0.11 of its potential returns per unit of risk. NXP Semiconductors NV is currently generating about 0.03 per unit of risk. If you would invest 6,451 in General Motors on September 16, 2024 and sell it today you would earn a total of 1,340 from holding General Motors or generate 20.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
General Motors vs. NXP Semiconductors NV
Performance |
Timeline |
General Motors |
NXP Semiconductors |
General Motors and NXP Semiconductors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with General Motors and NXP Semiconductors
The main advantage of trading using opposite General Motors and NXP Semiconductors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Motors position performs unexpectedly, NXP Semiconductors 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 NXP Semiconductors will offset losses from the drop in NXP Semiconductors' long position.General Motors vs. NXP Semiconductors NV | General Motors vs. Bread Financial Holdings | General Motors vs. Deutsche Bank Aktiengesellschaft | General Motors vs. Unity Software |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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