Correlation Between Siit Emerging and Siit High
Can any of the company-specific risk be diversified away by investing in both Siit Emerging and Siit High 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 Emerging and Siit High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Emerging Markets and Siit High Yield, you can compare the effects of market volatilities on Siit Emerging and Siit High 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 Emerging with a short position of Siit High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Emerging and Siit High.
Diversification Opportunities for Siit Emerging and Siit High
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Siit and Siit is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Siit Emerging Markets and Siit High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siit High Yield and Siit Emerging 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 Emerging Markets are associated (or correlated) with Siit High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siit High Yield has no effect on the direction of Siit Emerging i.e., Siit Emerging and Siit High go up and down completely randomly.
Pair Corralation between Siit Emerging and Siit High
Assuming the 90 days horizon Siit Emerging Markets is expected to under-perform the Siit High. In addition to that, Siit Emerging is 4.26 times more volatile than Siit High Yield. It trades about -0.13 of its total potential returns per unit of risk. Siit High Yield is currently generating about -0.03 per unit of volatility. If you would invest 712.00 in Siit High Yield on September 27, 2024 and sell it today you would lose (1.00) from holding Siit High Yield or give up 0.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Siit Emerging Markets vs. Siit High Yield
Performance |
Timeline |
Siit Emerging Markets |
Siit High Yield |
Siit Emerging and Siit High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siit Emerging and Siit High
The main advantage of trading using opposite Siit Emerging and Siit High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Emerging position performs unexpectedly, Siit High 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 High will offset losses from the drop in Siit High's long position.Siit Emerging vs. Sit International Equity | Siit Emerging vs. Simt E Fixed | Siit Emerging vs. Simt Multi Asset Income | Siit Emerging vs. Simt Global Managed |
Siit High vs. Nasdaq 100 2x Strategy | Siit High vs. Dws Emerging Markets | Siit High vs. Franklin Emerging Market | Siit High vs. Siit Emerging 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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