Correlation Between LendingClub Corp and Guggenheim Active
Can any of the company-specific risk be diversified away by investing in both LendingClub Corp and Guggenheim Active 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 LendingClub Corp and Guggenheim Active into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LendingClub Corp and Guggenheim Active Allocation, you can compare the effects of market volatilities on LendingClub Corp and Guggenheim Active 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 LendingClub Corp with a short position of Guggenheim Active. Check out your portfolio center. Please also check ongoing floating volatility patterns of LendingClub Corp and Guggenheim Active.
Diversification Opportunities for LendingClub Corp and Guggenheim Active
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between LendingClub and Guggenheim is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding LendingClub Corp and Guggenheim Active Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Active and LendingClub Corp 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 LendingClub Corp are associated (or correlated) with Guggenheim Active. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Active has no effect on the direction of LendingClub Corp i.e., LendingClub Corp and Guggenheim Active go up and down completely randomly.
Pair Corralation between LendingClub Corp and Guggenheim Active
Allowing for the 90-day total investment horizon LendingClub Corp is expected to under-perform the Guggenheim Active. In addition to that, LendingClub Corp is 4.34 times more volatile than Guggenheim Active Allocation. It trades about -0.18 of its total potential returns per unit of risk. Guggenheim Active Allocation is currently generating about 0.08 per unit of volatility. If you would invest 1,460 in Guggenheim Active Allocation on December 30, 2024 and sell it today you would earn a total of 58.00 from holding Guggenheim Active Allocation or generate 3.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LendingClub Corp vs. Guggenheim Active Allocation
Performance |
Timeline |
LendingClub Corp |
Guggenheim Active |
LendingClub Corp and Guggenheim Active Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LendingClub Corp and Guggenheim Active
The main advantage of trading using opposite LendingClub Corp and Guggenheim Active positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LendingClub Corp position performs unexpectedly, Guggenheim Active 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 Active will offset losses from the drop in Guggenheim Active's long position.LendingClub Corp vs. Navient Corp | LendingClub Corp vs. Green Dot | LendingClub Corp vs. Orix Corp Ads | LendingClub Corp vs. FirstCash |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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