Correlation Between Simt Large and Siit Screened
Can any of the company-specific risk be diversified away by investing in both Simt Large 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 Large 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 Large Cap and Siit Screened World, you can compare the effects of market volatilities on Simt Large 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 Large with a short position of Siit Screened. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simt Large and Siit Screened.
Diversification Opportunities for Simt Large and Siit Screened
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Simt and Siit is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Simt Large 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 Large 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 Large 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 Large i.e., Simt Large and Siit Screened go up and down completely randomly.
Pair Corralation between Simt Large and Siit Screened
Assuming the 90 days horizon Simt Large is expected to generate 2.76 times less return on investment than Siit Screened. But when comparing it to its historical volatility, Simt Large Cap is 1.01 times less risky than Siit Screened. It trades about 0.05 of its potential returns per unit of risk. Siit Screened World is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1,103 in Siit Screened World on December 27, 2024 and sell it today you would earn a total of 69.00 from holding Siit Screened World or generate 6.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Simt Large Cap vs. Siit Screened World
Performance |
Timeline |
Simt Large Cap |
Siit Screened World |
Simt Large and Siit Screened Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Simt Large and Siit Screened
The main advantage of trading using opposite Simt Large and Siit Screened positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simt Large 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 Large vs. Dodge Global Stock | Simt Large vs. Franklin Mutual Global | Simt Large vs. Morningstar Global Income | Simt Large vs. Dws Global Macro |
Siit Screened vs. Barings Global Floating | Siit Screened vs. Aqr Global Macro | Siit Screened vs. Gmo Global Equity | Siit Screened vs. Aqr Global Equity |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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