Correlation Between Direxion Daily and Airports
Can any of the company-specific risk be diversified away by investing in both Direxion Daily and Airports 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 Direxion Daily and Airports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Direxion Daily Mid and Airports of Thailand, you can compare the effects of market volatilities on Direxion Daily and Airports 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 Direxion Daily with a short position of Airports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direxion Daily and Airports.
Diversification Opportunities for Direxion Daily and Airports
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Direxion and Airports is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Direxion Daily Mid and Airports of Thailand in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Airports of Thailand and Direxion Daily 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 Direxion Daily Mid are associated (or correlated) with Airports. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Airports of Thailand has no effect on the direction of Direxion Daily i.e., Direxion Daily and Airports go up and down completely randomly.
Pair Corralation between Direxion Daily and Airports
Given the investment horizon of 90 days Direxion Daily is expected to generate 30.8 times less return on investment than Airports. But when comparing it to its historical volatility, Direxion Daily Mid is 46.09 times less risky than Airports. It trades about 0.17 of its potential returns per unit of risk. Airports of Thailand is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 7,070 in Airports of Thailand on September 12, 2024 and sell it today you would lose (1,020) from holding Airports of Thailand or give up 14.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.31% |
Values | Daily Returns |
Direxion Daily Mid vs. Airports of Thailand
Performance |
Timeline |
Direxion Daily Mid |
Airports of Thailand |
Direxion Daily and Airports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direxion Daily and Airports
The main advantage of trading using opposite Direxion Daily and Airports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direxion Daily position performs unexpectedly, Airports 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 Airports will offset losses from the drop in Airports' long position.Direxion Daily vs. Direxion Daily Retail | Direxion Daily vs. Direxion Daily Industrials | Direxion Daily vs. Direxion Daily Transportation | Direxion Daily vs. Direxion Daily FTSE |
Airports vs. CP ALL Public | Airports vs. PTT Public | Airports vs. Bangkok Dusit Medical | Airports vs. The Siam Cement |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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