Correlation Between Simt Large and Saat Aggressive
Can any of the company-specific risk be diversified away by investing in both Simt Large and Saat Aggressive 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 Saat Aggressive 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 Saat Aggressive Strategy, you can compare the effects of market volatilities on Simt Large and Saat Aggressive 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 Saat Aggressive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simt Large and Saat Aggressive.
Diversification Opportunities for Simt Large and Saat Aggressive
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Simt and Saat is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Simt Large Cap and Saat Aggressive Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saat Aggressive Strategy 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 Saat Aggressive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saat Aggressive Strategy has no effect on the direction of Simt Large i.e., Simt Large and Saat Aggressive go up and down completely randomly.
Pair Corralation between Simt Large and Saat Aggressive
Assuming the 90 days horizon Simt Large Cap is expected to under-perform the Saat Aggressive. In addition to that, Simt Large is 1.97 times more volatile than Saat Aggressive Strategy. It trades about -0.08 of its total potential returns per unit of risk. Saat Aggressive Strategy is currently generating about 0.06 per unit of volatility. If you would invest 1,454 in Saat Aggressive Strategy on December 28, 2024 and sell it today you would earn a total of 32.00 from holding Saat Aggressive Strategy or generate 2.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Simt Large Cap vs. Saat Aggressive Strategy
Performance |
Timeline |
Simt Large Cap |
Saat Aggressive Strategy |
Simt Large and Saat Aggressive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Simt Large and Saat Aggressive
The main advantage of trading using opposite Simt Large and Saat Aggressive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simt Large position performs unexpectedly, Saat Aggressive 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 Saat Aggressive will offset losses from the drop in Saat Aggressive's long position.Simt Large vs. Davis Financial Fund | Simt Large vs. Vanguard Financials Index | Simt Large vs. Mesirow Financial Small | Simt Large vs. Financial Industries Fund |
Saat Aggressive vs. Saat Market Growth | Saat Aggressive vs. Saat Moderate Strategy | Saat Aggressive vs. Saat Servative Strategy | Saat Aggressive vs. Simt Large Cap |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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