Correlation Between Simt Small and Siit Screened
Can any of the company-specific risk be diversified away by investing in both Simt Small and Siit Screened 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 Simt Small and Siit Screened into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Simt Small Cap and Siit Screened World, you can compare the effects of market volatilities on Simt Small and Siit Screened 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 Simt Small with a short position of Siit Screened. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simt Small and Siit Screened.
Diversification Opportunities for Simt Small and Siit Screened
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Simt and Siit is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Simt Small Cap and Siit Screened World in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siit Screened World and Simt 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 Simt Small Cap are associated (or correlated) with Siit Screened. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siit Screened World has no effect on the direction of Simt Small i.e., Simt Small and Siit Screened go up and down completely randomly.
Pair Corralation between Simt Small and Siit Screened
Assuming the 90 days horizon Simt Small Cap is expected to generate 1.87 times more return on investment than Siit Screened. However, Simt Small is 1.87 times more volatile than Siit Screened World. It trades about 0.15 of its potential returns per unit of risk. Siit Screened World is currently generating about -0.05 per unit of risk. If you would invest 3,659 in Simt Small Cap on August 29, 2024 and sell it today you would earn a total of 468.00 from holding Simt Small Cap or generate 12.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Simt Small Cap vs. Siit Screened World
Performance |
| Timeline |
| Simt Small Cap |
| Siit Screened World |
Simt Small and Siit Screened Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Simt Small and Siit Screened
The main advantage of trading using opposite Simt Small and Siit Screened positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simt Small position performs unexpectedly, Siit Screened 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 Siit Screened will offset losses from the drop in Siit Screened's long position.| Simt Small vs. Pace Large Growth | Simt Small vs. Goldman Sachs Large | Simt Small vs. Hartford Moderate Allocation | Simt Small vs. T Rowe Price |
| Siit Screened vs. Wisdomtree Siegel Global | Siit Screened vs. Barings Global Floating | Siit Screened vs. Blue Current Global | Siit Screened vs. Power Global Tactical |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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