Correlation Between PREMIER FOODS and Singapore Airlines
Can any of the company-specific risk be diversified away by investing in both PREMIER FOODS and Singapore Airlines 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 PREMIER FOODS and Singapore Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PREMIER FOODS and Singapore Airlines Limited, you can compare the effects of market volatilities on PREMIER FOODS and Singapore Airlines 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 PREMIER FOODS with a short position of Singapore Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of PREMIER FOODS and Singapore Airlines.
Diversification Opportunities for PREMIER FOODS and Singapore Airlines
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between PREMIER and Singapore is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding PREMIER FOODS and Singapore Airlines Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore Airlines and PREMIER FOODS 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 PREMIER FOODS are associated (or correlated) with Singapore Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singapore Airlines has no effect on the direction of PREMIER FOODS i.e., PREMIER FOODS and Singapore Airlines go up and down completely randomly.
Pair Corralation between PREMIER FOODS and Singapore Airlines
Assuming the 90 days trading horizon PREMIER FOODS is expected to under-perform the Singapore Airlines. In addition to that, PREMIER FOODS is 1.75 times more volatile than Singapore Airlines Limited. It trades about -0.12 of its total potential returns per unit of risk. Singapore Airlines Limited is currently generating about 0.15 per unit of volatility. If you would invest 429.00 in Singapore Airlines Limited on October 11, 2024 and sell it today you would earn a total of 21.00 from holding Singapore Airlines Limited or generate 4.9% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 97.44% |
| Values | Daily Returns |
PREMIER FOODS vs. Singapore Airlines Limited
Performance |
| Timeline |
| PREMIER FOODS |
| Singapore Airlines |
PREMIER FOODS and Singapore Airlines Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PREMIER FOODS and Singapore Airlines
The main advantage of trading using opposite PREMIER FOODS and Singapore Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PREMIER FOODS position performs unexpectedly, Singapore Airlines 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 Singapore Airlines will offset losses from the drop in Singapore Airlines' long position.| PREMIER FOODS vs. FIREWEED METALS P | PREMIER FOODS vs. Aluminum of | PREMIER FOODS vs. Hua Hong Semiconductor | PREMIER FOODS vs. ARDAGH METAL PACDL 0001 |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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