Correlation Between Goldman Sachs and Siit High
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs 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 Goldman Sachs and Siit High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Short and Siit High Yield, you can compare the effects of market volatilities on Goldman Sachs 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 Goldman Sachs with a short position of Siit High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Siit High.
Diversification Opportunities for Goldman Sachs and Siit High
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Goldman and Siit is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Short 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 Goldman Sachs 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 Goldman Sachs Short 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 Goldman Sachs i.e., Goldman Sachs and Siit High go up and down completely randomly.
Pair Corralation between Goldman Sachs and Siit High
Assuming the 90 days horizon Goldman Sachs is expected to generate 2.4 times less return on investment than Siit High. But when comparing it to its historical volatility, Goldman Sachs Short is 2.08 times less risky than Siit High. It trades about 0.07 of its potential returns per unit of risk. Siit High Yield is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 621.00 in Siit High Yield on September 4, 2024 and sell it today you would earn a total of 97.00 from holding Siit High Yield or generate 15.62% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Goldman Sachs Short vs. Siit High Yield
Performance |
| Timeline |
| Goldman Sachs Short |
| Siit High Yield |
Goldman Sachs and Siit High Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Goldman Sachs and Siit High
The main advantage of trading using opposite Goldman Sachs and Siit High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs 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.| Goldman Sachs vs. Guggenheim High Yield | Goldman Sachs vs. Victory High Income | Goldman Sachs vs. Multimanager Lifestyle Aggressive | Goldman Sachs vs. Ab Global Risk |
| 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 |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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