Correlation Between Citigroup and Guggenheim Multi-hedge
Can any of the company-specific risk be diversified away by investing in both Citigroup and Guggenheim Multi-hedge 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 Citigroup and Guggenheim Multi-hedge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Guggenheim Multi Hedge Strategies, you can compare the effects of market volatilities on Citigroup and Guggenheim Multi-hedge 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 Citigroup with a short position of Guggenheim Multi-hedge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Guggenheim Multi-hedge.
Diversification Opportunities for Citigroup and Guggenheim Multi-hedge
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Citigroup and Guggenheim is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Guggenheim Multi Hedge Strateg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Multi Hedge and Citigroup 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 Citigroup are associated (or correlated) with Guggenheim Multi-hedge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Multi Hedge has no effect on the direction of Citigroup i.e., Citigroup and Guggenheim Multi-hedge go up and down completely randomly.
Pair Corralation between Citigroup and Guggenheim Multi-hedge
Taking into account the 90-day investment horizon Citigroup is expected to generate 4.04 times more return on investment than Guggenheim Multi-hedge. However, Citigroup is 4.04 times more volatile than Guggenheim Multi Hedge Strategies. It trades about 0.1 of its potential returns per unit of risk. Guggenheim Multi Hedge Strategies is currently generating about -0.01 per unit of risk. If you would invest 4,358 in Citigroup on October 24, 2024 and sell it today you would earn a total of 3,811 from holding Citigroup or generate 87.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Citigroup vs. Guggenheim Multi Hedge Strateg
Performance |
Timeline |
Citigroup |
Guggenheim Multi Hedge |
Citigroup and Guggenheim Multi-hedge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and Guggenheim Multi-hedge
The main advantage of trading using opposite Citigroup and Guggenheim Multi-hedge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Guggenheim Multi-hedge 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 Guggenheim Multi-hedge will offset losses from the drop in Guggenheim Multi-hedge's long position.Citigroup vs. JPMorgan Chase Co | Citigroup vs. Wells Fargo | Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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