Correlation Between Singapore Airlines and PLAYMATES TOYS
Can any of the company-specific risk be diversified away by investing in both Singapore Airlines and PLAYMATES TOYS 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 PLAYMATES TOYS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singapore Airlines Limited and PLAYMATES TOYS, you can compare the effects of market volatilities on Singapore Airlines and PLAYMATES TOYS 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 PLAYMATES TOYS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Airlines and PLAYMATES TOYS.
Diversification Opportunities for Singapore Airlines and PLAYMATES TOYS
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Singapore and PLAYMATES is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Airlines Limited and PLAYMATES TOYS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PLAYMATES TOYS 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 Limited are associated (or correlated) with PLAYMATES TOYS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PLAYMATES TOYS has no effect on the direction of Singapore Airlines i.e., Singapore Airlines and PLAYMATES TOYS go up and down completely randomly.
Pair Corralation between Singapore Airlines and PLAYMATES TOYS
Assuming the 90 days trading horizon Singapore Airlines Limited is expected to generate 0.24 times more return on investment than PLAYMATES TOYS. However, Singapore Airlines Limited is 4.12 times less risky than PLAYMATES TOYS. It trades about 0.05 of its potential returns per unit of risk. PLAYMATES TOYS is currently generating about -0.02 per unit of risk. If you would invest 436.00 in Singapore Airlines Limited on October 22, 2024 and sell it today you would earn a total of 13.00 from holding Singapore Airlines Limited or generate 2.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Singapore Airlines Limited vs. PLAYMATES TOYS
Performance |
Timeline |
Singapore Airlines |
PLAYMATES TOYS |
Singapore Airlines and PLAYMATES TOYS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Airlines and PLAYMATES TOYS
The main advantage of trading using opposite Singapore Airlines and PLAYMATES TOYS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Airlines position performs unexpectedly, PLAYMATES TOYS 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 PLAYMATES TOYS will offset losses from the drop in PLAYMATES TOYS's long position.Singapore Airlines vs. GRENKELEASING Dusseldorf | Singapore Airlines vs. COPLAND ROAD CAPITAL | Singapore Airlines vs. Sixt Leasing SE | Singapore Airlines vs. China Development Bank |
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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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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