Correlation Between Strickland Metals and Retail Food
Can any of the company-specific risk be diversified away by investing in both Strickland Metals and Retail Food 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 Retail Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Strickland Metals and Retail Food Group, you can compare the effects of market volatilities on Strickland Metals and Retail Food 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 Retail Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Strickland Metals and Retail Food.
Diversification Opportunities for Strickland Metals and Retail Food
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Strickland and Retail is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Strickland Metals and Retail Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Retail Food Group 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 Retail Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Retail Food Group has no effect on the direction of Strickland Metals i.e., Strickland Metals and Retail Food go up and down completely randomly.
Pair Corralation between Strickland Metals and Retail Food
Assuming the 90 days trading horizon Strickland Metals is expected to generate 2.05 times more return on investment than Retail Food. However, Strickland Metals is 2.05 times more volatile than Retail Food Group. It trades about 0.06 of its potential returns per unit of risk. Retail Food Group is currently generating about 0.02 per unit of risk. If you would invest 4.10 in Strickland Metals on August 30, 2024 and sell it today you would earn a total of 4.00 from holding Strickland Metals or generate 97.56% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Strickland Metals vs. Retail Food Group
Performance |
| Timeline |
| Strickland Metals |
| Retail Food Group |
Strickland Metals and Retail Food Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Strickland Metals and Retail Food
The main advantage of trading using opposite Strickland Metals and Retail Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Strickland Metals position performs unexpectedly, Retail Food 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 Retail Food will offset losses from the drop in Retail Food's long position.| Strickland Metals vs. Northern Star Resources | Strickland Metals vs. Evolution Mining | Strickland Metals vs. Bluescope Steel | Strickland Metals vs. Sandfire Resources NL |
| Retail Food vs. Autosports Group | Retail Food vs. AiMedia Technologies | Retail Food vs. BKI Investment | Retail Food vs. ARN Media Limited |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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