Correlation Between Kiatnakin Phatra and Karmarts Public
Can any of the company-specific risk be diversified away by investing in both Kiatnakin Phatra and Karmarts Public 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 Kiatnakin Phatra and Karmarts Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kiatnakin Phatra Bank and Karmarts Public, you can compare the effects of market volatilities on Kiatnakin Phatra and Karmarts Public 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 Kiatnakin Phatra with a short position of Karmarts Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kiatnakin Phatra and Karmarts Public.
Diversification Opportunities for Kiatnakin Phatra and Karmarts Public
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kiatnakin and Karmarts is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Kiatnakin Phatra Bank and Karmarts Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Karmarts Public and Kiatnakin Phatra 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 Kiatnakin Phatra Bank are associated (or correlated) with Karmarts Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Karmarts Public has no effect on the direction of Kiatnakin Phatra i.e., Kiatnakin Phatra and Karmarts Public go up and down completely randomly.
Pair Corralation between Kiatnakin Phatra and Karmarts Public
Assuming the 90 days trading horizon Kiatnakin Phatra Bank is expected to generate 0.56 times more return on investment than Karmarts Public. However, Kiatnakin Phatra Bank is 1.79 times less risky than Karmarts Public. It trades about 0.02 of its potential returns per unit of risk. Karmarts Public is currently generating about -0.01 per unit of risk. If you would invest 5,150 in Kiatnakin Phatra Bank on September 16, 2024 and sell it today you would earn a total of 50.00 from holding Kiatnakin Phatra Bank or generate 0.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kiatnakin Phatra Bank vs. Karmarts Public
Performance |
Timeline |
Kiatnakin Phatra Bank |
Karmarts Public |
Kiatnakin Phatra and Karmarts Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kiatnakin Phatra and Karmarts Public
The main advantage of trading using opposite Kiatnakin Phatra and Karmarts Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kiatnakin Phatra position performs unexpectedly, Karmarts Public 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 Karmarts Public will offset losses from the drop in Karmarts Public's long position.Kiatnakin Phatra vs. KGI Securities Public | Kiatnakin Phatra vs. Lalin Property Public | Kiatnakin Phatra vs. Hwa Fong Rubber | Kiatnakin Phatra vs. MCS Steel 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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