Correlation Between FIREWEED METALS and SINGAPORE AIRLINES
Can any of the company-specific risk be diversified away by investing in both FIREWEED METALS 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 FIREWEED METALS and SINGAPORE AIRLINES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FIREWEED METALS P and SINGAPORE AIRLINES, you can compare the effects of market volatilities on FIREWEED METALS 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 FIREWEED METALS with a short position of SINGAPORE AIRLINES. Check out your portfolio center. Please also check ongoing floating volatility patterns of FIREWEED METALS and SINGAPORE AIRLINES.
Diversification Opportunities for FIREWEED METALS and SINGAPORE AIRLINES
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between FIREWEED and SINGAPORE is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding FIREWEED METALS P and SINGAPORE AIRLINES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SINGAPORE AIRLINES and FIREWEED METALS 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 FIREWEED METALS P 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 FIREWEED METALS i.e., FIREWEED METALS and SINGAPORE AIRLINES go up and down completely randomly.
Pair Corralation between FIREWEED METALS and SINGAPORE AIRLINES
Assuming the 90 days horizon FIREWEED METALS P is expected to under-perform the SINGAPORE AIRLINES. In addition to that, FIREWEED METALS is 1.98 times more volatile than SINGAPORE AIRLINES. It trades about -0.01 of its total potential returns per unit of risk. SINGAPORE AIRLINES is currently generating about 0.04 per unit of volatility. If you would invest 426.00 in SINGAPORE AIRLINES on September 3, 2024 and sell it today you would earn a total of 14.00 from holding SINGAPORE AIRLINES or generate 3.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FIREWEED METALS P vs. SINGAPORE AIRLINES
Performance |
Timeline |
FIREWEED METALS P |
SINGAPORE AIRLINES |
FIREWEED METALS and SINGAPORE AIRLINES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FIREWEED METALS and SINGAPORE AIRLINES
The main advantage of trading using opposite FIREWEED METALS and SINGAPORE AIRLINES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FIREWEED METALS 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's long position.FIREWEED METALS vs. ECHO INVESTMENT ZY | FIREWEED METALS vs. Strategic Investments AS | FIREWEED METALS vs. NXP Semiconductors NV | FIREWEED METALS vs. Algonquin Power Utilities |
SINGAPORE AIRLINES vs. REVO INSURANCE SPA | SINGAPORE AIRLINES vs. ALBIS LEASING AG | SINGAPORE AIRLINES vs. Evolution Mining Limited | SINGAPORE AIRLINES vs. PT Bank Maybank |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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