Correlation Between Ermenegildo Zegna and J Long
Can any of the company-specific risk be diversified away by investing in both Ermenegildo Zegna and J Long 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 Ermenegildo Zegna and J Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ermenegildo Zegna NV and J Long Group Limited, you can compare the effects of market volatilities on Ermenegildo Zegna and J Long 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 Ermenegildo Zegna with a short position of J Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ermenegildo Zegna and J Long.
Diversification Opportunities for Ermenegildo Zegna and J Long
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ermenegildo and J Long is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Ermenegildo Zegna NV and J Long Group Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on J Long Group and Ermenegildo Zegna 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 Ermenegildo Zegna NV are associated (or correlated) with J Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of J Long Group has no effect on the direction of Ermenegildo Zegna i.e., Ermenegildo Zegna and J Long go up and down completely randomly.
Pair Corralation between Ermenegildo Zegna and J Long
Considering the 90-day investment horizon Ermenegildo Zegna NV is expected to generate 0.25 times more return on investment than J Long. However, Ermenegildo Zegna NV is 3.96 times less risky than J Long. It trades about 0.33 of its potential returns per unit of risk. J Long Group Limited is currently generating about -0.18 per unit of risk. If you would invest 751.00 in Ermenegildo Zegna NV on September 13, 2024 and sell it today you would earn a total of 112.50 from holding Ermenegildo Zegna NV or generate 14.98% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ermenegildo Zegna NV vs. J Long Group Limited
Performance |
| Timeline |
| Ermenegildo Zegna |
| J Long Group |
Ermenegildo Zegna and J Long Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ermenegildo Zegna and J Long
The main advantage of trading using opposite Ermenegildo Zegna and J Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ermenegildo Zegna position performs unexpectedly, J Long 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 J Long will offset losses from the drop in J Long's long position.| Ermenegildo Zegna vs. Oxford Industries | Ermenegildo Zegna vs. G III Apparel Group | Ermenegildo Zegna vs. Kontoor Brands | Ermenegildo Zegna vs. Columbia Sportswear |
| J Long vs. Centessa Pharmaceuticals PLC | J Long vs. Direct Line Insurance | J Long vs. enVVeno Medical Corp | J Long vs. GoHealth |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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