Correlation Between Steel Connect and Emerald Expositions
Can any of the company-specific risk be diversified away by investing in both Steel Connect and Emerald Expositions 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 Steel Connect and Emerald Expositions into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Steel Connect and Emerald Expositions Events, you can compare the effects of market volatilities on Steel Connect and Emerald Expositions 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 Steel Connect with a short position of Emerald Expositions. Check out your portfolio center. Please also check ongoing floating volatility patterns of Steel Connect and Emerald Expositions.
Diversification Opportunities for Steel Connect and Emerald Expositions
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Steel and Emerald is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Steel Connect and Emerald Expositions Events in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerald Expositions and Steel Connect 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 Steel Connect are associated (or correlated) with Emerald Expositions. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerald Expositions has no effect on the direction of Steel Connect i.e., Steel Connect and Emerald Expositions go up and down completely randomly.
Pair Corralation between Steel Connect and Emerald Expositions
Given the investment horizon of 90 days Steel Connect is expected to generate 2.66 times more return on investment than Emerald Expositions. However, Steel Connect is 2.66 times more volatile than Emerald Expositions Events. It trades about 0.28 of its potential returns per unit of risk. Emerald Expositions Events is currently generating about 0.02 per unit of risk. If you would invest 952.00 in Steel Connect on September 17, 2024 and sell it today you would earn a total of 286.00 from holding Steel Connect or generate 30.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Steel Connect vs. Emerald Expositions Events
Performance |
Timeline |
Steel Connect |
Emerald Expositions |
Steel Connect and Emerald Expositions Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Steel Connect and Emerald Expositions
The main advantage of trading using opposite Steel Connect and Emerald Expositions positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Steel Connect position performs unexpectedly, Emerald Expositions 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 Emerald Expositions will offset losses from the drop in Emerald Expositions' long position.Steel Connect vs. Baosheng Media Group | Steel Connect vs. Impact Fusion International | Steel Connect vs. Mirriad Advertising plc | Steel Connect vs. CyberAgent ADR |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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