Correlation Between Jacquet Metal and 3I Group
Can any of the company-specific risk be diversified away by investing in both Jacquet Metal and 3I Group 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 Jacquet Metal and 3I Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jacquet Metal Service and 3I Group PLC, you can compare the effects of market volatilities on Jacquet Metal and 3I Group 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 Jacquet Metal with a short position of 3I Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jacquet Metal and 3I Group.
Diversification Opportunities for Jacquet Metal and 3I Group
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Jacquet and III is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Jacquet Metal Service and 3I Group PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 3I Group PLC and Jacquet Metal 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 Jacquet Metal Service are associated (or correlated) with 3I Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 3I Group PLC has no effect on the direction of Jacquet Metal i.e., Jacquet Metal and 3I Group go up and down completely randomly.
Pair Corralation between Jacquet Metal and 3I Group
Assuming the 90 days trading horizon Jacquet Metal is expected to generate 13.17 times less return on investment than 3I Group. In addition to that, Jacquet Metal is 1.1 times more volatile than 3I Group PLC. It trades about 0.01 of its total potential returns per unit of risk. 3I Group PLC is currently generating about 0.14 per unit of volatility. If you would invest 132,837 in 3I Group PLC on September 23, 2024 and sell it today you would earn a total of 221,963 from holding 3I Group PLC or generate 167.09% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Jacquet Metal Service vs. 3I Group PLC
Performance |
| Timeline |
| Jacquet Metal Service |
| 3I Group PLC |
Jacquet Metal and 3I Group Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Jacquet Metal and 3I Group
The main advantage of trading using opposite Jacquet Metal and 3I Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jacquet Metal position performs unexpectedly, 3I Group 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 3I Group will offset losses from the drop in 3I Group's long position.| Jacquet Metal vs. Molson Coors Beverage | Jacquet Metal vs. International Consolidated Airlines | Jacquet Metal vs. LPKF Laser Electronics | Jacquet Metal vs. Alliance Data Systems |
| 3I Group vs. McEwen Mining | 3I Group vs. Panther Metals PLC | 3I Group vs. Molson Coors Beverage | 3I Group vs. Jacquet Metal Service |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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