Correlation Between Metalurgica Gerdau and Gen Digital
Can any of the company-specific risk be diversified away by investing in both Metalurgica Gerdau and Gen Digital 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 Metalurgica Gerdau and Gen Digital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metalurgica Gerdau SA and Gen Digital, you can compare the effects of market volatilities on Metalurgica Gerdau and Gen Digital 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 Metalurgica Gerdau with a short position of Gen Digital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metalurgica Gerdau and Gen Digital.
Diversification Opportunities for Metalurgica Gerdau and Gen Digital
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Metalurgica and Gen is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Metalurgica Gerdau SA and Gen Digital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gen Digital and Metalurgica Gerdau 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 Metalurgica Gerdau SA are associated (or correlated) with Gen Digital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gen Digital has no effect on the direction of Metalurgica Gerdau i.e., Metalurgica Gerdau and Gen Digital go up and down completely randomly.
Pair Corralation between Metalurgica Gerdau and Gen Digital
Assuming the 90 days trading horizon Metalurgica Gerdau SA is expected to under-perform the Gen Digital. But the preferred stock apears to be less risky and, when comparing its historical volatility, Metalurgica Gerdau SA is 1.82 times less risky than Gen Digital. The preferred stock trades about -0.05 of its potential returns per unit of risk. The Gen Digital is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 13,472 in Gen Digital on October 5, 2024 and sell it today you would earn a total of 4,421 from holding Gen Digital or generate 32.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Metalurgica Gerdau SA vs. Gen Digital
Performance |
Timeline |
Metalurgica Gerdau |
Gen Digital |
Metalurgica Gerdau and Gen Digital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metalurgica Gerdau and Gen Digital
The main advantage of trading using opposite Metalurgica Gerdau and Gen Digital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metalurgica Gerdau position performs unexpectedly, Gen Digital 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 Gen Digital will offset losses from the drop in Gen Digital's long position.Metalurgica Gerdau vs. Usinas Siderrgicas de | Metalurgica Gerdau vs. Gerdau SA | Metalurgica Gerdau vs. Companhia Siderrgica Nacional | Metalurgica Gerdau vs. Companhia Energtica de |
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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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