Correlation Between Omni Small-cap and Sit Global
Can any of the company-specific risk be diversified away by investing in both Omni Small-cap and Sit Global 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 Omni Small-cap and Sit Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Omni Small Cap Value and Sit Global Dividend, you can compare the effects of market volatilities on Omni Small-cap and Sit Global 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 Omni Small-cap with a short position of Sit Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Omni Small-cap and Sit Global.
Diversification Opportunities for Omni Small-cap and Sit Global
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Omni and Sit is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Omni Small Cap Value and Sit Global Dividend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sit Global Dividend and Omni Small-cap 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 Omni Small Cap Value are associated (or correlated) with Sit Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sit Global Dividend has no effect on the direction of Omni Small-cap i.e., Omni Small-cap and Sit Global go up and down completely randomly.
Pair Corralation between Omni Small-cap and Sit Global
Assuming the 90 days horizon Omni Small Cap Value is expected to under-perform the Sit Global. In addition to that, Omni Small-cap is 1.33 times more volatile than Sit Global Dividend. It trades about -0.13 of its total potential returns per unit of risk. Sit Global Dividend is currently generating about 0.0 per unit of volatility. If you would invest 2,770 in Sit Global Dividend on December 19, 2024 and sell it today you would lose (4.00) from holding Sit Global Dividend or give up 0.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Omni Small Cap Value vs. Sit Global Dividend
Performance |
Timeline |
Omni Small Cap |
Sit Global Dividend |
Omni Small-cap and Sit Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Omni Small-cap and Sit Global
The main advantage of trading using opposite Omni Small-cap and Sit Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Omni Small-cap position performs unexpectedly, Sit Global 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 Sit Global will offset losses from the drop in Sit Global's long position.Omni Small-cap vs. Calvert Short Duration | Omni Small-cap vs. Blackrock Global Longshort | Omni Small-cap vs. John Hancock Variable | Omni Small-cap vs. Rbc Short Duration |
Sit Global vs. Sit Small Cap | Sit Global vs. Sit Global Dividend | Sit Global vs. Sit Small Cap | Sit Global vs. Sit Esg Growth |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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