Correlation Between Siit High and International Growth
Can any of the company-specific risk be diversified away by investing in both Siit High and International Growth 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 High and International Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit High Yield and International Growth Fund, you can compare the effects of market volatilities on Siit High and International Growth 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 High with a short position of International Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit High and International Growth.
Diversification Opportunities for Siit High and International Growth
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Siit and International is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Siit High Yield and International Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on International Growth and Siit High 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 High Yield are associated (or correlated) with International Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of International Growth has no effect on the direction of Siit High i.e., Siit High and International Growth go up and down completely randomly.
Pair Corralation between Siit High and International Growth
Assuming the 90 days horizon Siit High Yield is expected to generate 0.19 times more return on investment than International Growth. However, Siit High Yield is 5.16 times less risky than International Growth. It trades about 0.18 of its potential returns per unit of risk. International Growth Fund is currently generating about -0.03 per unit of risk. If you would invest 704.00 in Siit High Yield on September 4, 2024 and sell it today you would earn a total of 14.00 from holding Siit High Yield or generate 1.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Siit High Yield vs. International Growth Fund
Performance |
Timeline |
Siit High Yield |
International Growth |
Siit High and International Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siit High and International Growth
The main advantage of trading using opposite Siit High and International Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit High position performs unexpectedly, International Growth 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 International Growth will offset losses from the drop in International Growth's long position.Siit High vs. Simt Multi Asset Accumulation | Siit High vs. Saat Market Growth | Siit High vs. Simt Real Return | Siit High vs. Simt Small Cap |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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