Correlation Between Singapore Airlines and ALGOMA STEEL
Can any of the company-specific risk be diversified away by investing in both Singapore Airlines and ALGOMA STEEL 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 ALGOMA STEEL 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 ALGOMA STEEL GROUP, you can compare the effects of market volatilities on Singapore Airlines and ALGOMA STEEL 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 ALGOMA STEEL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Airlines and ALGOMA STEEL.
Diversification Opportunities for Singapore Airlines and ALGOMA STEEL
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Singapore and ALGOMA is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Airlines Limited and ALGOMA STEEL GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALGOMA STEEL GROUP 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 ALGOMA STEEL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALGOMA STEEL GROUP has no effect on the direction of Singapore Airlines i.e., Singapore Airlines and ALGOMA STEEL go up and down completely randomly.
Pair Corralation between Singapore Airlines and ALGOMA STEEL
Assuming the 90 days trading horizon Singapore Airlines is expected to generate 1.82 times less return on investment than ALGOMA STEEL. But when comparing it to its historical volatility, Singapore Airlines Limited is 1.71 times less risky than ALGOMA STEEL. It trades about 0.04 of its potential returns per unit of risk. ALGOMA STEEL GROUP is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 620.00 in ALGOMA STEEL GROUP on October 24, 2024 and sell it today you would earn a total of 185.00 from holding ALGOMA STEEL GROUP or generate 29.84% 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. ALGOMA STEEL GROUP
Performance |
Timeline |
Singapore Airlines |
ALGOMA STEEL GROUP |
Singapore Airlines and ALGOMA STEEL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Airlines and ALGOMA STEEL
The main advantage of trading using opposite Singapore Airlines and ALGOMA STEEL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Airlines position performs unexpectedly, ALGOMA STEEL 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 ALGOMA STEEL will offset losses from the drop in ALGOMA STEEL's long position.Singapore Airlines vs. CLOVER HEALTH INV | Singapore Airlines vs. NAGOYA RAILROAD | Singapore Airlines vs. WESANA HEALTH HOLD | Singapore Airlines vs. TEXAS ROADHOUSE |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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