Correlation Between Walker Dunlop and XAI Octagon
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop and XAI Octagon 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 Walker Dunlop and XAI Octagon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and XAI Octagon Floating, you can compare the effects of market volatilities on Walker Dunlop and XAI Octagon 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 Walker Dunlop with a short position of XAI Octagon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and XAI Octagon.
Diversification Opportunities for Walker Dunlop and XAI Octagon
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Walker and XAI is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and XAI Octagon Floating in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XAI Octagon Floating and Walker Dunlop 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 Walker Dunlop are associated (or correlated) with XAI Octagon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XAI Octagon Floating has no effect on the direction of Walker Dunlop i.e., Walker Dunlop and XAI Octagon go up and down completely randomly.
Pair Corralation between Walker Dunlop and XAI Octagon
Allowing for the 90-day total investment horizon Walker Dunlop is expected to generate 2.32 times more return on investment than XAI Octagon. However, Walker Dunlop is 2.32 times more volatile than XAI Octagon Floating. It trades about 0.05 of its potential returns per unit of risk. XAI Octagon Floating is currently generating about 0.08 per unit of risk. If you would invest 7,882 in Walker Dunlop on August 28, 2024 and sell it today you would earn a total of 3,367 from holding Walker Dunlop or generate 42.72% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Walker Dunlop vs. XAI Octagon Floating
Performance |
| Timeline |
| Walker Dunlop |
| XAI Octagon Floating |
Walker Dunlop and XAI Octagon Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Walker Dunlop and XAI Octagon
The main advantage of trading using opposite Walker Dunlop and XAI Octagon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop position performs unexpectedly, XAI Octagon 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 XAI Octagon will offset losses from the drop in XAI Octagon's long position.| Walker Dunlop vs. Mr Cooper Group | Walker Dunlop vs. Velocity Financial Llc | Walker Dunlop vs. Security National Financial | Walker Dunlop vs. Encore Capital Group |
| XAI Octagon vs. Oxford Lane Capital | XAI Octagon vs. Capital Southwest | XAI Octagon vs. Cornerstone Strategic Return | XAI Octagon vs. Cornerstone Strategic Value |
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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