Correlation Between Sit Us and Sit Small
Can any of the company-specific risk be diversified away by investing in both Sit Us and Sit Small 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 Sit Us and Sit Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sit Government Securities and Sit Small Cap, you can compare the effects of market volatilities on Sit Us and Sit Small 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 Sit Us with a short position of Sit Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sit Us and Sit Small.
Diversification Opportunities for Sit Us and Sit Small
Excellent diversification
The 3 months correlation between Sit and Sit is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Sit Government Securities and Sit Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sit Small Cap and Sit Us 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 Sit Government Securities are associated (or correlated) with Sit Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sit Small Cap has no effect on the direction of Sit Us i.e., Sit Us and Sit Small go up and down completely randomly.
Pair Corralation between Sit Us and Sit Small
Assuming the 90 days horizon Sit Government Securities is expected to under-perform the Sit Small. But the mutual fund apears to be less risky and, when comparing its historical volatility, Sit Government Securities is 8.52 times less risky than Sit Small. The mutual fund trades about -0.08 of its potential returns per unit of risk. The Sit Small Cap is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 1,761 in Sit Small Cap on August 26, 2024 and sell it today you would earn a total of 102.00 from holding Sit Small Cap or generate 5.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sit Government Securities vs. Sit Small Cap
Performance |
| Timeline |
| Sit Government Securities |
| Sit Small Cap |
Sit Us and Sit Small Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sit Us and Sit Small
The main advantage of trading using opposite Sit Us and Sit Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sit Us position performs unexpectedly, Sit Small 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 Small will offset losses from the drop in Sit Small's long position.| Sit Us vs. Tcw Total Return | Sit Us vs. Ridgeworth Seix Government | Sit Us vs. Short Duration Income | Sit Us vs. Thompson Bond Fund |
| Sit Small vs. Sit Global Dividend | Sit Small vs. Sit Global Dividend | Sit Small vs. Sit Small Cap | Sit Small vs. Sit Developing Markets |
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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