Correlation Between Ladder Capital and Great Ajax
Can any of the company-specific risk be diversified away by investing in both Ladder Capital and Great Ajax 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 Ladder Capital and Great Ajax into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ladder Capital Corp and Great Ajax Corp, you can compare the effects of market volatilities on Ladder Capital and Great Ajax 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 Ladder Capital with a short position of Great Ajax. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ladder Capital and Great Ajax.
Diversification Opportunities for Ladder Capital and Great Ajax
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ladder and Great is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Ladder Capital Corp and Great Ajax Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great Ajax Corp and Ladder Capital 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 Ladder Capital Corp are associated (or correlated) with Great Ajax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great Ajax Corp has no effect on the direction of Ladder Capital i.e., Ladder Capital and Great Ajax go up and down completely randomly.
Pair Corralation between Ladder Capital and Great Ajax
Given the investment horizon of 90 days Ladder Capital Corp is expected to generate 0.05 times more return on investment than Great Ajax. However, Ladder Capital Corp is 20.72 times less risky than Great Ajax. It trades about 0.18 of its potential returns per unit of risk. Great Ajax Corp is currently generating about -0.19 per unit of risk. If you would invest 1,133 in Ladder Capital Corp on September 4, 2024 and sell it today you would earn a total of 45.00 from holding Ladder Capital Corp or generate 3.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ladder Capital Corp vs. Great Ajax Corp
Performance |
Timeline |
Ladder Capital Corp |
Great Ajax Corp |
Ladder Capital and Great Ajax Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ladder Capital and Great Ajax
The main advantage of trading using opposite Ladder Capital and Great Ajax positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ladder Capital position performs unexpectedly, Great Ajax 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 Great Ajax will offset losses from the drop in Great Ajax's long position.Ladder Capital vs. KKR Real Estate | Ladder Capital vs. Ares Commercial Real | Ladder Capital vs. Ellington Residential Mortgage | Ladder Capital vs. Claros Mortgage Trust |
Great Ajax vs. Ellington Financial | Great Ajax vs. Dynex Capital | Great Ajax vs. Ares Commercial Real | Great Ajax vs. Cherry Hill Mortgage |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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