Correlation Between Siit High and Multi Strategy
Can any of the company-specific risk be diversified away by investing in both Siit High and Multi Strategy 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 Multi Strategy 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 The Multi Strategy Growth, you can compare the effects of market volatilities on Siit High and Multi Strategy 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 Multi Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit High and Multi Strategy.
Diversification Opportunities for Siit High and Multi Strategy
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Siit and Multi is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Siit High Yield and The Multi Strategy Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Strategy 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 Multi Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Strategy has no effect on the direction of Siit High i.e., Siit High and Multi Strategy go up and down completely randomly.
Pair Corralation between Siit High and Multi Strategy
Assuming the 90 days horizon Siit High Yield is expected to generate 0.38 times more return on investment than Multi Strategy. However, Siit High Yield is 2.62 times less risky than Multi Strategy. It trades about -0.06 of its potential returns per unit of risk. The Multi Strategy Growth is currently generating about -0.42 per unit of risk. If you would invest 713.00 in Siit High Yield on September 26, 2024 and sell it today you would lose (2.00) from holding Siit High Yield or give up 0.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Siit High Yield vs. The Multi Strategy Growth
Performance |
Timeline |
Siit High Yield |
Multi Strategy |
Siit High and Multi Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siit High and Multi Strategy
The main advantage of trading using opposite Siit High and Multi Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit High position performs unexpectedly, Multi Strategy 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 Multi Strategy will offset losses from the drop in Multi Strategy's long position.Siit High vs. Vy Baron Growth | Siit High vs. Praxis Growth Index | Siit High vs. Chase Growth Fund | Siit High vs. Smallcap Growth Fund |
Multi Strategy vs. Lord Abbett Health | Multi Strategy vs. Fidelity Advisor Health | Multi Strategy vs. Delaware Healthcare Fund | Multi Strategy vs. Baillie Gifford Health |
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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