Correlation Between Siit Small and Simt Small
Can any of the company-specific risk be diversified away by investing in both Siit Small and Simt 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 Siit Small and Simt Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Small Mid and Simt Small Cap, you can compare the effects of market volatilities on Siit Small and Simt 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 Siit Small with a short position of Simt Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Small and Simt Small.
Diversification Opportunities for Siit Small and Simt Small
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Siit and Simt is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Siit Small Mid and Simt Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Small Cap and Siit Small 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 Siit Small Mid are associated (or correlated) with Simt Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt Small Cap has no effect on the direction of Siit Small i.e., Siit Small and Simt Small go up and down completely randomly.
Pair Corralation between Siit Small and Simt Small
Assuming the 90 days horizon Siit Small Mid is expected to under-perform the Simt Small. But the mutual fund apears to be less risky and, when comparing its historical volatility, Siit Small Mid is 1.1 times less risky than Simt Small. The mutual fund trades about -0.02 of its potential returns per unit of risk. The Simt Small Cap is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 3,432 in Simt Small Cap on October 24, 2024 and sell it today you would earn a total of 1.00 from holding Simt Small Cap or generate 0.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Siit Small Mid vs. Simt Small Cap
Performance |
Timeline |
Siit Small Mid |
Simt Small Cap |
Siit Small and Simt Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siit Small and Simt Small
The main advantage of trading using opposite Siit Small and Simt Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Small position performs unexpectedly, Simt 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 Simt Small will offset losses from the drop in Simt Small's long position.Siit Small vs. Artisan Small Cap | Siit Small vs. Upright Growth Income | Siit Small vs. Transamerica Capital Growth | Siit Small vs. Riverparknext Century Growth |
Simt Small vs. Simt Mid Cap | Simt Small vs. Simt High Yield | Simt Small vs. Simt Multi Asset Accumulation | Simt Small vs. Simt Real Return |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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