Correlation Between Siit Large and Income Growth
Can any of the company-specific risk be diversified away by investing in both Siit Large and Income 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 Large and Income Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Large Cap and Income Growth Fund, you can compare the effects of market volatilities on Siit Large and Income 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 Large with a short position of Income Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Large and Income Growth.
Diversification Opportunities for Siit Large and Income Growth
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Siit and Income is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Siit Large Cap and Income Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Income Growth and Siit 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 Siit Large Cap are associated (or correlated) with Income Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Income Growth has no effect on the direction of Siit Large i.e., Siit Large and Income Growth go up and down completely randomly.
Pair Corralation between Siit Large and Income Growth
Assuming the 90 days horizon Siit Large is expected to generate 1.46 times less return on investment than Income Growth. But when comparing it to its historical volatility, Siit Large Cap is 1.03 times less risky than Income Growth. It trades about 0.19 of its potential returns per unit of risk. Income Growth Fund is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 3,736 in Income Growth Fund on August 29, 2024 and sell it today you would earn a total of 181.00 from holding Income Growth Fund or generate 4.84% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Siit Large Cap vs. Income Growth Fund
Performance |
| Timeline |
| Siit Large Cap |
| Income Growth |
Siit Large and Income Growth Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Siit Large and Income Growth
The main advantage of trading using opposite Siit Large and Income Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Large position performs unexpectedly, Income 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 Income Growth will offset losses from the drop in Income Growth's long position.| Siit Large vs. Rbc Funds Trust | Siit Large vs. Ubs Money Series | Siit Large vs. Usaa Mutual Funds | Siit Large vs. Matson Money Fixed |
| Income Growth vs. International Growth Fund | Income Growth vs. Growth Fund Investor | Income Growth vs. Ultra Fund Investor | Income Growth vs. Strategic Allocation Aggressive |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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