Correlation Between Schnitzer Steel and NEW MILLENNIUM
Can any of the company-specific risk be diversified away by investing in both Schnitzer Steel and NEW MILLENNIUM 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 NEW MILLENNIUM 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 NEW MILLENNIUM IRON, you can compare the effects of market volatilities on Schnitzer Steel and NEW MILLENNIUM 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 NEW MILLENNIUM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schnitzer Steel and NEW MILLENNIUM.
Diversification Opportunities for Schnitzer Steel and NEW MILLENNIUM
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Schnitzer and NEW is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Schnitzer Steel Industries and NEW MILLENNIUM IRON in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NEW MILLENNIUM IRON 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 NEW MILLENNIUM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NEW MILLENNIUM IRON has no effect on the direction of Schnitzer Steel i.e., Schnitzer Steel and NEW MILLENNIUM go up and down completely randomly.
Pair Corralation between Schnitzer Steel and NEW MILLENNIUM
Assuming the 90 days trading horizon Schnitzer Steel Industries is expected to generate 6.08 times more return on investment than NEW MILLENNIUM. However, Schnitzer Steel is 6.08 times more volatile than NEW MILLENNIUM IRON. It trades about 0.12 of its potential returns per unit of risk. NEW MILLENNIUM IRON is currently generating about -0.09 per unit of risk. If you would invest 1,447 in Schnitzer Steel Industries on December 23, 2024 and sell it today you would earn a total of 1,213 from holding Schnitzer Steel Industries or generate 83.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Schnitzer Steel Industries vs. NEW MILLENNIUM IRON
Performance |
Timeline |
Schnitzer Steel Indu |
NEW MILLENNIUM IRON |
Schnitzer Steel and NEW MILLENNIUM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schnitzer Steel and NEW MILLENNIUM
The main advantage of trading using opposite Schnitzer Steel and NEW MILLENNIUM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schnitzer Steel position performs unexpectedly, NEW MILLENNIUM 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 NEW MILLENNIUM will offset losses from the drop in NEW MILLENNIUM's long position.Schnitzer Steel vs. PLAY2CHILL SA ZY | Schnitzer Steel vs. FIREWEED METALS P | Schnitzer Steel vs. Harmony Gold Mining | Schnitzer Steel vs. Jacquet Metal Service |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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