Correlation Between Optimum Small-mid and First Investors
Can any of the company-specific risk be diversified away by investing in both Optimum Small-mid and First Investors 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 Optimum Small-mid and First Investors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Optimum Small Mid Cap and First Investors Tax, you can compare the effects of market volatilities on Optimum Small-mid and First Investors 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 Optimum Small-mid with a short position of First Investors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Optimum Small-mid and First Investors.
Diversification Opportunities for Optimum Small-mid and First Investors
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Optimum and First is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Optimum Small Mid Cap and First Investors Tax in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Investors Tax and Optimum Small-mid 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 Optimum Small Mid Cap are associated (or correlated) with First Investors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Investors Tax has no effect on the direction of Optimum Small-mid i.e., Optimum Small-mid and First Investors go up and down completely randomly.
Pair Corralation between Optimum Small-mid and First Investors
Assuming the 90 days horizon Optimum Small Mid Cap is expected to generate 3.7 times more return on investment than First Investors. However, Optimum Small-mid is 3.7 times more volatile than First Investors Tax. It trades about 0.06 of its potential returns per unit of risk. First Investors Tax is currently generating about 0.07 per unit of risk. If you would invest 995.00 in Optimum Small Mid Cap on August 31, 2024 and sell it today you would earn a total of 267.00 from holding Optimum Small Mid Cap or generate 26.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Optimum Small Mid Cap vs. First Investors Tax
Performance |
Timeline |
Optimum Small Mid |
First Investors Tax |
Optimum Small-mid and First Investors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Optimum Small-mid and First Investors
The main advantage of trading using opposite Optimum Small-mid and First Investors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Optimum Small-mid position performs unexpectedly, First Investors 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 First Investors will offset losses from the drop in First Investors' long position.Optimum Small-mid vs. Columbia Real Estate | Optimum Small-mid vs. Forum Real Estate | Optimum Small-mid vs. Amg Managers Centersquare | Optimum Small-mid vs. Deutsche Real Estate |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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