Correlation Between Stock Exchange and Dusit Thani
Can any of the company-specific risk be diversified away by investing in both Stock Exchange 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 Stock Exchange and Dusit Thani into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stock Exchange Of and Dusit Thani Freehold, you can compare the effects of market volatilities on Stock Exchange 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 Stock Exchange with a short position of Dusit Thani. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stock Exchange and Dusit Thani.
Diversification Opportunities for Stock Exchange and Dusit Thani
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Stock and Dusit is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Stock Exchange Of 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 Stock Exchange 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 Stock Exchange Of 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 Stock Exchange i.e., Stock Exchange and Dusit Thani go up and down completely randomly.
Pair Corralation between Stock Exchange and Dusit Thani
Assuming the 90 days trading horizon Stock Exchange is expected to generate 398.12 times less return on investment than Dusit Thani. But when comparing it to its historical volatility, Stock Exchange Of is 111.28 times less risky than Dusit Thani. It trades about 0.02 of its potential returns per unit of risk. Dusit Thani Freehold is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 458.00 in Dusit Thani Freehold on September 3, 2024 and sell it today you would earn a total of 38.00 from holding Dusit Thani Freehold or generate 8.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Stock Exchange Of vs. Dusit Thani Freehold
Performance |
Timeline |
Stock Exchange and Dusit Thani Volatility Contrast
Predicted Return Density |
Returns |
Stock Exchange Of
Pair trading matchups for Stock Exchange
Dusit Thani Freehold
Pair trading matchups for Dusit Thani
Pair Trading with Stock Exchange and Dusit Thani
The main advantage of trading using opposite Stock Exchange and Dusit Thani positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stock Exchange 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.Stock Exchange vs. Siam Wellness Group | Stock Exchange vs. ABSOLUTE CLEAN ENERGY | Stock Exchange vs. Sri panwa Hospitality | Stock Exchange vs. 2S Metal Public |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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