Correlation Between Guggenheim High and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Guggenheim High and Goldman Sachs 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 Guggenheim High and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim High Yield and Goldman Sachs High, you can compare the effects of market volatilities on Guggenheim High and Goldman Sachs 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 Guggenheim High with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim High and Goldman Sachs.
Diversification Opportunities for Guggenheim High and Goldman Sachs
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Guggenheim and Goldman is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim High Yield and Goldman Sachs High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs High and Guggenheim 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 Guggenheim High Yield are associated (or correlated) with Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs High has no effect on the direction of Guggenheim High i.e., Guggenheim High and Goldman Sachs go up and down completely randomly.
Pair Corralation between Guggenheim High and Goldman Sachs
Assuming the 90 days horizon Guggenheim High Yield is expected to generate 0.98 times more return on investment than Goldman Sachs. However, Guggenheim High Yield is 1.02 times less risky than Goldman Sachs. It trades about 0.19 of its potential returns per unit of risk. Goldman Sachs High is currently generating about 0.08 per unit of risk. If you would invest 1,009 in Guggenheim High Yield on September 13, 2024 and sell it today you would earn a total of 4.00 from holding Guggenheim High Yield or generate 0.4% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Guggenheim High Yield vs. Goldman Sachs High
Performance |
| Timeline |
| Guggenheim High Yield |
| Goldman Sachs High |
Guggenheim High and Goldman Sachs Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Guggenheim High and Goldman Sachs
The main advantage of trading using opposite Guggenheim High and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim High position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.| Guggenheim High vs. Alliancebernstein Global High | Guggenheim High vs. Ab Global Bond | Guggenheim High vs. Investec Global Franchise | Guggenheim High vs. Barings Global Floating |
| Goldman Sachs vs. Ab Select Equity | Goldman Sachs vs. Calamos Global Equity | Goldman Sachs vs. Artisan Select Equity | Goldman Sachs vs. Sarofim Equity |
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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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