Correlation Between Kiattana Transport and KGI Securities
Can any of the company-specific risk be diversified away by investing in both Kiattana Transport and KGI Securities 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 Kiattana Transport and KGI Securities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kiattana Transport Public and KGI Securities Public, you can compare the effects of market volatilities on Kiattana Transport and KGI Securities 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 Kiattana Transport with a short position of KGI Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kiattana Transport and KGI Securities.
Diversification Opportunities for Kiattana Transport and KGI Securities
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Kiattana and KGI is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Kiattana Transport Public and KGI Securities Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KGI Securities Public and Kiattana Transport 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 Kiattana Transport Public are associated (or correlated) with KGI Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KGI Securities Public has no effect on the direction of Kiattana Transport i.e., Kiattana Transport and KGI Securities go up and down completely randomly.
Pair Corralation between Kiattana Transport and KGI Securities
Assuming the 90 days trading horizon Kiattana Transport Public is expected to generate 77.99 times more return on investment than KGI Securities. However, Kiattana Transport is 77.99 times more volatile than KGI Securities Public. It trades about 0.06 of its potential returns per unit of risk. KGI Securities Public is currently generating about -0.04 per unit of risk. If you would invest 38.00 in Kiattana Transport Public on October 22, 2024 and sell it today you would lose (8.00) from holding Kiattana Transport Public or give up 21.05% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.54% |
| Values | Daily Returns |
Kiattana Transport Public vs. KGI Securities Public
Performance |
| Timeline |
| Kiattana Transport Public |
| KGI Securities Public |
Kiattana Transport and KGI Securities Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kiattana Transport and KGI Securities
The main advantage of trading using opposite Kiattana Transport and KGI Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kiattana Transport position performs unexpectedly, KGI Securities 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 KGI Securities will offset losses from the drop in KGI Securities' long position.| Kiattana Transport vs. Namyong Terminal PCL | Kiattana Transport vs. Hwa Fong Rubber | Kiattana Transport vs. Karmarts Public | Kiattana Transport vs. Jay Mart 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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