Correlation Between ALGOMA STEEL and Western Copper
Can any of the company-specific risk be diversified away by investing in both ALGOMA STEEL and Western Copper 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 ALGOMA STEEL and Western Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ALGOMA STEEL GROUP and Western Copper and, you can compare the effects of market volatilities on ALGOMA STEEL and Western Copper 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 ALGOMA STEEL with a short position of Western Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALGOMA STEEL and Western Copper.
Diversification Opportunities for ALGOMA STEEL and Western Copper
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between ALGOMA and Western is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding ALGOMA STEEL GROUP and Western Copper and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Copper and ALGOMA STEEL 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 ALGOMA STEEL GROUP are associated (or correlated) with Western Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Western Copper has no effect on the direction of ALGOMA STEEL i.e., ALGOMA STEEL and Western Copper go up and down completely randomly.
Pair Corralation between ALGOMA STEEL and Western Copper
Assuming the 90 days horizon ALGOMA STEEL GROUP is expected to under-perform the Western Copper. But the stock apears to be less risky and, when comparing its historical volatility, ALGOMA STEEL GROUP is 1.01 times less risky than Western Copper. The stock trades about -0.19 of its potential returns per unit of risk. The Western Copper and is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 97.00 in Western Copper and on December 22, 2024 and sell it today you would earn a total of 4.00 from holding Western Copper and or generate 4.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ALGOMA STEEL GROUP vs. Western Copper and
Performance |
Timeline |
ALGOMA STEEL GROUP |
Western Copper |
ALGOMA STEEL and Western Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALGOMA STEEL and Western Copper
The main advantage of trading using opposite ALGOMA STEEL and Western Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALGOMA STEEL position performs unexpectedly, Western Copper 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 Western Copper will offset losses from the drop in Western Copper's long position.ALGOMA STEEL vs. Air Lease | ALGOMA STEEL vs. Monster Beverage Corp | ALGOMA STEEL vs. WILLIS LEASE FIN | ALGOMA STEEL vs. MONEYSUPERMARKET |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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