Correlation Between Deutsche Gold and Catalyst/smh High
Can any of the company-specific risk be diversified away by investing in both Deutsche Gold and Catalyst/smh 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 Deutsche Gold and Catalyst/smh High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Gold Precious and Catalystsmh High Income, you can compare the effects of market volatilities on Deutsche Gold and Catalyst/smh 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 Deutsche Gold with a short position of Catalyst/smh High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Gold and Catalyst/smh High.
Diversification Opportunities for Deutsche Gold and Catalyst/smh High
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Deutsche and Catalyst/smh is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Gold Precious and Catalystsmh High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystsmh High Income and Deutsche Gold 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 Deutsche Gold Precious are associated (or correlated) with Catalyst/smh High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystsmh High Income has no effect on the direction of Deutsche Gold i.e., Deutsche Gold and Catalyst/smh High go up and down completely randomly.
Pair Corralation between Deutsche Gold and Catalyst/smh High
Assuming the 90 days horizon Deutsche Gold Precious is expected to generate 3.33 times more return on investment than Catalyst/smh High. However, Deutsche Gold is 3.33 times more volatile than Catalystsmh High Income. It trades about 0.35 of its potential returns per unit of risk. Catalystsmh High Income is currently generating about 0.33 per unit of risk. If you would invest 7,631 in Deutsche Gold Precious on July 1, 2025 and sell it today you would earn a total of 3,088 from holding Deutsche Gold Precious or generate 40.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Gold Precious vs. Catalystsmh High Income
Performance |
Timeline |
Deutsche Gold Precious |
Catalystsmh High Income |
Deutsche Gold and Catalyst/smh High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Gold and Catalyst/smh High
The main advantage of trading using opposite Deutsche Gold and Catalyst/smh High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Gold position performs unexpectedly, Catalyst/smh 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 Catalyst/smh High will offset losses from the drop in Catalyst/smh High's long position.Deutsche Gold vs. Ab Bond Inflation | Deutsche Gold vs. Altegris Futures Evolution | Deutsche Gold vs. Abbey Capital Futures | Deutsche Gold vs. The Hartford Inflation |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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