Correlation Between Altri SGPS and Novabase SGPS
Can any of the company-specific risk be diversified away by investing in both Altri SGPS and Novabase SGPS 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 Altri SGPS and Novabase SGPS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Altri SGPS SA and Novabase SGPS, you can compare the effects of market volatilities on Altri SGPS and Novabase SGPS 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 Altri SGPS with a short position of Novabase SGPS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Altri SGPS and Novabase SGPS.
Diversification Opportunities for Altri SGPS and Novabase SGPS
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Altri and Novabase is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Altri SGPS SA and Novabase SGPS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Novabase SGPS and Altri SGPS 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 Altri SGPS SA are associated (or correlated) with Novabase SGPS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Novabase SGPS has no effect on the direction of Altri SGPS i.e., Altri SGPS and Novabase SGPS go up and down completely randomly.
Pair Corralation between Altri SGPS and Novabase SGPS
Assuming the 90 days trading horizon Altri SGPS SA is expected to under-perform the Novabase SGPS. But the stock apears to be less risky and, when comparing its historical volatility, Altri SGPS SA is 1.27 times less risky than Novabase SGPS. The stock trades about -0.2 of its potential returns per unit of risk. The Novabase SGPS is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 632.00 in Novabase SGPS on April 22, 2025 and sell it today you would earn a total of 148.00 from holding Novabase SGPS or generate 23.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Altri SGPS SA vs. Novabase SGPS
Performance |
Timeline |
Altri SGPS SA |
Novabase SGPS |
Risk-Adjusted Performance
Good
Weak | Strong |
Altri SGPS and Novabase SGPS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Altri SGPS and Novabase SGPS
The main advantage of trading using opposite Altri SGPS and Novabase SGPS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Altri SGPS position performs unexpectedly, Novabase SGPS 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 Novabase SGPS will offset losses from the drop in Novabase SGPS's long position.Altri SGPS vs. The Navigator | Altri SGPS vs. Sonae SGPS SA | Altri SGPS vs. NOS SGPS SA | Altri SGPS vs. Galp Energia SGPS |
Novabase SGPS vs. Altri SGPS SA | Novabase SGPS vs. Mota Engil SGPS SA | Novabase SGPS vs. Sonae SGPS SA | Novabase SGPS vs. Corticeira Amorim |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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