Correlation Between SINGAPORE AIRLINES and NXP Semiconductors
Can any of the company-specific risk be diversified away by investing in both SINGAPORE AIRLINES 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 SINGAPORE AIRLINES and NXP Semiconductors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SINGAPORE AIRLINES and NXP Semiconductors NV, you can compare the effects of market volatilities on SINGAPORE AIRLINES 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 SINGAPORE AIRLINES with a short position of NXP Semiconductors. Check out your portfolio center. Please also check ongoing floating volatility patterns of SINGAPORE AIRLINES and NXP Semiconductors.
Diversification Opportunities for SINGAPORE AIRLINES and NXP Semiconductors
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between SINGAPORE and NXP is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding SINGAPORE AIRLINES and NXP Semiconductors NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NXP Semiconductors and SINGAPORE AIRLINES 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 SINGAPORE AIRLINES 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 SINGAPORE AIRLINES i.e., SINGAPORE AIRLINES and NXP Semiconductors go up and down completely randomly.
Pair Corralation between SINGAPORE AIRLINES and NXP Semiconductors
Assuming the 90 days trading horizon SINGAPORE AIRLINES is expected to generate 0.45 times more return on investment than NXP Semiconductors. However, SINGAPORE AIRLINES is 2.21 times less risky than NXP Semiconductors. It trades about 0.07 of its potential returns per unit of risk. NXP Semiconductors NV is currently generating about -0.04 per unit of risk. If you would invest 447.00 in SINGAPORE AIRLINES on December 23, 2024 and sell it today you would earn a total of 17.00 from holding SINGAPORE AIRLINES or generate 3.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SINGAPORE AIRLINES vs. NXP Semiconductors NV
Performance |
Timeline |
SINGAPORE AIRLINES |
NXP Semiconductors |
SINGAPORE AIRLINES and NXP Semiconductors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SINGAPORE AIRLINES and NXP Semiconductors
The main advantage of trading using opposite SINGAPORE AIRLINES and NXP Semiconductors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SINGAPORE AIRLINES 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.SINGAPORE AIRLINES vs. GLG LIFE TECH | SINGAPORE AIRLINES vs. MAGIC SOFTWARE ENTR | SINGAPORE AIRLINES vs. FORTRESS BIOTECHPRFA 25 | SINGAPORE AIRLINES vs. VITEC SOFTWARE GROUP |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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