Correlation Between Schnitzer Steel and Western Copper
Can any of the company-specific risk be diversified away by investing in both Schnitzer 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 Schnitzer 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 Schnitzer Steel Industries and Western Copper and, you can compare the effects of market volatilities on Schnitzer 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 Schnitzer Steel with a short position of Western Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schnitzer Steel and Western Copper.
Diversification Opportunities for Schnitzer Steel and Western Copper
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Schnitzer and Western is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Schnitzer Steel Industries and Western Copper and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Copper and Schnitzer 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 Schnitzer Steel Industries 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 Schnitzer Steel i.e., Schnitzer Steel and Western Copper go up and down completely randomly.
Pair Corralation between Schnitzer Steel and Western Copper
Assuming the 90 days trading horizon Schnitzer Steel Industries is expected to generate 4.08 times more return on investment than Western Copper. However, Schnitzer Steel is 4.08 times more volatile than Western Copper and. It trades about 0.12 of its potential returns per unit of risk. Western Copper and is currently generating about 0.05 per unit of risk. If you would invest 1,467 in Schnitzer Steel Industries on December 25, 2024 and sell it today you would earn a total of 1,193 from holding Schnitzer Steel Industries or generate 81.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Schnitzer Steel Industries vs. Western Copper and
Performance |
Timeline |
Schnitzer Steel Indu |
Western Copper |
Schnitzer Steel and Western Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schnitzer Steel and Western Copper
The main advantage of trading using opposite Schnitzer Steel and Western Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schnitzer 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.Schnitzer Steel vs. Computer And Technologies | Schnitzer Steel vs. Casio Computer CoLtd | Schnitzer Steel vs. AGRICULTBK HADR25 YC | Schnitzer Steel vs. Daito Trust Construction |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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