Correlation Between Muang Thai and Kiattana Transport
Can any of the company-specific risk be diversified away by investing in both Muang Thai and Kiattana Transport 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 Muang Thai and Kiattana Transport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Muang Thai Insurance and Kiattana Transport Public, you can compare the effects of market volatilities on Muang Thai and Kiattana Transport 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 Muang Thai with a short position of Kiattana Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of Muang Thai and Kiattana Transport.
Diversification Opportunities for Muang Thai and Kiattana Transport
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Muang and Kiattana is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Muang Thai Insurance and Kiattana Transport Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kiattana Transport Public and Muang Thai 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 Muang Thai Insurance are associated (or correlated) with Kiattana Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kiattana Transport Public has no effect on the direction of Muang Thai i.e., Muang Thai and Kiattana Transport go up and down completely randomly.
Pair Corralation between Muang Thai and Kiattana Transport
Assuming the 90 days trading horizon Muang Thai Insurance is expected to generate 0.5 times more return on investment than Kiattana Transport. However, Muang Thai Insurance is 1.99 times less risky than Kiattana Transport. It trades about 0.13 of its potential returns per unit of risk. Kiattana Transport Public is currently generating about -0.01 per unit of risk. If you would invest 9,956 in Muang Thai Insurance on December 23, 2024 and sell it today you would earn a total of 994.00 from holding Muang Thai Insurance or generate 9.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Muang Thai Insurance vs. Kiattana Transport Public
Performance |
Timeline |
Muang Thai Insurance |
Kiattana Transport Public |
Muang Thai and Kiattana Transport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Muang Thai and Kiattana Transport
The main advantage of trading using opposite Muang Thai and Kiattana Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Muang Thai position performs unexpectedly, Kiattana Transport 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 Kiattana Transport will offset losses from the drop in Kiattana Transport's long position.Muang Thai vs. Bangkok Life Assurance | Muang Thai vs. Karmarts Public | Muang Thai vs. Kang Yong Electric | Muang Thai vs. Kiatnakin Phatra Bank |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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