Correlation Between Strickland Metals and DY6 Metals
Can any of the company-specific risk be diversified away by investing in both Strickland Metals and DY6 Metals 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 Strickland Metals and DY6 Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Strickland Metals and DY6 Metals, you can compare the effects of market volatilities on Strickland Metals and DY6 Metals 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 Strickland Metals with a short position of DY6 Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Strickland Metals and DY6 Metals.
Diversification Opportunities for Strickland Metals and DY6 Metals
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Strickland and DY6 is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Strickland Metals and DY6 Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DY6 Metals and Strickland Metals 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 Strickland Metals are associated (or correlated) with DY6 Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DY6 Metals has no effect on the direction of Strickland Metals i.e., Strickland Metals and DY6 Metals go up and down completely randomly.
Pair Corralation between Strickland Metals and DY6 Metals
Assuming the 90 days trading horizon Strickland Metals is expected to generate 1.2 times more return on investment than DY6 Metals. However, Strickland Metals is 1.2 times more volatile than DY6 Metals. It trades about 0.04 of its potential returns per unit of risk. DY6 Metals is currently generating about -0.26 per unit of risk. If you would invest 7.40 in Strickland Metals on August 29, 2024 and sell it today you would earn a total of 0.10 from holding Strickland Metals or generate 1.35% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Strickland Metals vs. DY6 Metals
Performance |
| Timeline |
| Strickland Metals |
| DY6 Metals |
Strickland Metals and DY6 Metals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Strickland Metals and DY6 Metals
The main advantage of trading using opposite Strickland Metals and DY6 Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Strickland Metals position performs unexpectedly, DY6 Metals 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 DY6 Metals will offset losses from the drop in DY6 Metals' long position.| Strickland Metals vs. Northern Star Resources | Strickland Metals vs. Evolution Mining | Strickland Metals vs. Bluescope Steel | Strickland Metals vs. Sandfire Resources NL |
| DY6 Metals vs. Northern Star Resources | DY6 Metals vs. Evolution Mining | DY6 Metals vs. Bluescope Steel | DY6 Metals vs. Sandfire Resources NL |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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