Correlation Between Walker Dunlop and Dusit Thani
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop and Dusit Thani 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 Dusit Thani into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and Dusit Thani Freehold, you can compare the effects of market volatilities on Walker Dunlop and Dusit Thani 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 Dusit Thani. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and Dusit Thani.
Diversification Opportunities for Walker Dunlop and Dusit Thani
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Walker and Dusit is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and Dusit Thani Freehold in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dusit Thani Freehold 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 Dusit Thani. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dusit Thani Freehold has no effect on the direction of Walker Dunlop i.e., Walker Dunlop and Dusit Thani go up and down completely randomly.
Pair Corralation between Walker Dunlop and Dusit Thani
Allowing for the 90-day total investment horizon Walker Dunlop is expected to generate 72.85 times less return on investment than Dusit Thani. But when comparing it to its historical volatility, Walker Dunlop is 21.2 times less risky than Dusit Thani. It trades about 0.01 of its potential returns per unit of risk. Dusit Thani Freehold is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 518.00 in Dusit Thani Freehold on November 27, 2024 and sell it today you would earn a total of 2.00 from holding Dusit Thani Freehold or generate 0.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 97.16% |
Values | Daily Returns |
Walker Dunlop vs. Dusit Thani Freehold
Performance |
Timeline |
Walker Dunlop |
Dusit Thani Freehold |
Walker Dunlop and Dusit Thani Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walker Dunlop and Dusit Thani
The main advantage of trading using opposite Walker Dunlop and Dusit Thani positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop position performs unexpectedly, Dusit Thani 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 Dusit Thani will offset losses from the drop in Dusit Thani'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 |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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