Correlation Between Alger Spectra and Alger Concentrated
Can any of the company-specific risk be diversified away by investing in both Alger Spectra and Alger Concentrated 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 Alger Spectra and Alger Concentrated into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alger Spectra and Alger Concentrated Equity, you can compare the effects of market volatilities on Alger Spectra and Alger Concentrated 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 Alger Spectra with a short position of Alger Concentrated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alger Spectra and Alger Concentrated.
Diversification Opportunities for Alger Spectra and Alger Concentrated
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Alger and Alger is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding Alger Spectra and Alger Concentrated Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alger Concentrated Equity and Alger Spectra 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 Alger Spectra are associated (or correlated) with Alger Concentrated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alger Concentrated Equity has no effect on the direction of Alger Spectra i.e., Alger Spectra and Alger Concentrated go up and down completely randomly.
Pair Corralation between Alger Spectra and Alger Concentrated
Assuming the 90 days horizon Alger Spectra is expected to generate 1.0 times more return on investment than Alger Concentrated. However, Alger Spectra is 1.0 times less risky than Alger Concentrated. It trades about 0.23 of its potential returns per unit of risk. Alger Concentrated Equity is currently generating about 0.22 per unit of risk. If you would invest 3,029 in Alger Spectra on August 28, 2024 and sell it today you would earn a total of 202.00 from holding Alger Spectra or generate 6.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Alger Spectra vs. Alger Concentrated Equity
Performance |
Timeline |
Alger Spectra |
Alger Concentrated Equity |
Alger Spectra and Alger Concentrated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alger Spectra and Alger Concentrated
The main advantage of trading using opposite Alger Spectra and Alger Concentrated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alger Spectra position performs unexpectedly, Alger Concentrated 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 Alger Concentrated will offset losses from the drop in Alger Concentrated's long position.Alger Spectra vs. Alger Midcap Growth | Alger Spectra vs. Alger Midcap Growth | Alger Spectra vs. Alger Mid Cap | Alger Spectra vs. Alger Small Cap |
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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