Correlation Between Schnitzer Steel and Globex Mining
Can any of the company-specific risk be diversified away by investing in both Schnitzer Steel and Globex Mining 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 Globex Mining 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 Globex Mining Enterprises, you can compare the effects of market volatilities on Schnitzer Steel and Globex Mining 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 Globex Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schnitzer Steel and Globex Mining.
Diversification Opportunities for Schnitzer Steel and Globex Mining
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Schnitzer and Globex is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Schnitzer Steel Industries and Globex Mining Enterprises in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Globex Mining Enterprises 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 Globex Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Globex Mining Enterprises has no effect on the direction of Schnitzer Steel i.e., Schnitzer Steel and Globex Mining go up and down completely randomly.
Pair Corralation between Schnitzer Steel and Globex Mining
Assuming the 90 days trading horizon Schnitzer Steel Industries is expected to under-perform the Globex Mining. In addition to that, Schnitzer Steel is 3.43 times more volatile than Globex Mining Enterprises. It trades about -0.59 of its total potential returns per unit of risk. Globex Mining Enterprises is currently generating about 0.65 per unit of volatility. If you would invest 74.00 in Globex Mining Enterprises on October 9, 2024 and sell it today you would earn a total of 5.00 from holding Globex Mining Enterprises or generate 6.76% 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. Globex Mining Enterprises
Performance |
Timeline |
Schnitzer Steel Indu |
Globex Mining Enterprises |
Schnitzer Steel and Globex Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schnitzer Steel and Globex Mining
The main advantage of trading using opposite Schnitzer Steel and Globex Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schnitzer Steel position performs unexpectedly, Globex Mining 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 Globex Mining will offset losses from the drop in Globex Mining's long position.Schnitzer Steel vs. Apple Inc | Schnitzer Steel vs. Apple Inc | Schnitzer Steel vs. Apple Inc | Schnitzer Steel vs. Apple Inc |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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